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Fed Pract
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gaming
gambling
compulsive behaviors
ammunition
assault rifle
black jack
Boko Haram
bondage
child abuse
cocaine
Daech
drug paraphernalia
explosion
gun
human trafficking
ISIL
ISIS
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Islamic state
mixed martial arts
MMA
molestation
national rifle association
NRA
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pedophilia
poker
porn
pornography
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recreational drug
sex slave rings
slot machine
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Texas hold 'em
UFC
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bunges
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butt
butt fuck
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buttfucked
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cock sucker
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Study advances personalized treatment for older breast cancer patients

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Most older women with estrogen receptor–positive (ER+) breast cancer can tolerate and should be offered surgery, and a new tool helps them decide between treatment options, the U.K. Age Gap study suggests. Findings from the study were reported at the 12th European Breast Cancer Conference.

Dr. Lynda Wyld

“Primary endocrine therapy is usually reserved for older, less fit, and frail women. Rates of use vary widely,” noted investigator Lynda Wyld, MBChB, PhD, of the University of Sheffield (England).

“Although there is no set threshold for who is suitable, some women are undoubtedly over- and undertreated for their breast cancer,” she added.

Dr. Wyld and colleagues undertook the Age Gap study among women older than 70 years with breast cancer recruited from 56 U.K. breast units during 2013-2018.

The main goals were to determine which women can be safely offered primary endocrine therapy as nonstandard care and to develop and test a tool to help women in this age group make treatment decisions.

The first component of the study was a multicenter, prospective cohort study of women with ER+ disease who were eligible for surgery. Results showed that breast cancer–specific mortality was greater with primary endocrine therapy than with surgery in the entire cohort. However, breast cancer–specific mortality was lower with primary endocrine therapy than with surgery in a cohort matched with propensity scores to achieve similar age, fitness, and frailty.

The second component of the study was a cluster-randomized controlled trial of women with operable breast cancer, most of whom had ER+ disease. Results showed that a decision support tool increased awareness of treatment options and readiness to decide. The tool also altered treatment choices, prompting a larger share of patients with ER+ disease to choose primary endocrine therapy.
 

Prospective cohort study

The prospective observational study was conducted in 2,854 women with ER+ disease who were eligible for surgery and treated in usual practice. Most women (n = 2,354) were treated with surgery (followed by antiestrogen therapy), while the rest received primary endocrine therapy (n = 500).

In the entire cohort, patients undergoing surgery were younger, had a lower level of comorbidity, and were less often frail. But these characteristics were generally similar in a propensity-matched cohort of 672 patients.

At a median follow-up of 52 months, overall and breast cancer–specific survival were significantly poorer with primary endocrine therapy versus surgery in the entire cohort but not in the propensity-matched cohort.

In the entire cohort, the breast cancer–specific mortality was 9.5% with primary endocrine therapy and 4.9% with surgery. In the propensity-matched cohort, breast cancer–specific mortality was 3.1% and 6.6%, respectively.

The overall mortality was 41.8% with primary endocrine therapy and 14.6% with surgery in the entire cohort, but the gap narrowed to 34.5% and 25.6%, respectively, in the propensity-matched cohort.

In the latter, “although there is a slight divergence in overall survival and it’s likely that with longer-term follow-up this will become significant, at the moment, it isn’t,” Dr. Wyld commented.

Curves for breast cancer–specific survival basically overlapped until 5 years, when surgery started to show an advantage. The rate of locoregional recurrence or progression was low and not significantly different by treatment.

None of the women in the entire cohort died from surgery. “But it’s worth bearing in mind that these were all women selected for surgery, who were thought to be fit for it by their surgeons. The least fit women in this cohort will have obviously been offered primary endocrine therapy,” Dr. Wyld cautioned.

Although 19% of patients had a surgical complication, only 2.1% had a systemic surgical complication.
 

 

 

Cluster-randomized controlled trial

In the cluster-randomized controlled trial, researchers compared a decision support tool to usual care. The tool was developed using U.K. registry data from almost 30,000 older women and input from women in this age group on their preferred format and method of presentation, according to Dr. Wyld.

The tool consists of an algorithm available to clinicians online (for input of tumor stage and biology, comorbidities, and functional status) plus a booklet and outcome sheets for patients to take home after discussions that can be personalized to their particulars.

Intention-to-treat analyses were based on 1,339 patients with operable breast cancer, 1,161 of whom had ER+ disease. Per-protocol analyses were based on the subset of 449 patients who were offered a choice between surgery and primary endocrine therapy, presumably because they were less fit and frailer.

Results showed that, at 6 months, mean scores for global quality of life on the EORTC questionnaire did not differ between decision support and usual care in the intention-to-treat population (69.0 vs. 68.9; P = .900), but scores were more favorable with decision support in the per-protocol population (70.7 vs. 66.8; P = .044).

The tool also altered treatment choices, with a larger share of ER+ patients choosing primary endocrine therapy (21.0% vs. 15.4%; P = .029) but still having similar disease outcomes.

Although ER+ patients in the decision support group more often selected primary endocrine therapy, at a median follow-up of 36 months, the groups did not differ significantly on overall survival, cause-specific survival, or time to recurrence in either intention-to-treat or per-protocol analyses.

Larger shares of women in the decision support group reported that they had adequate knowledge about the treatment options available to them (94% vs. 74%), were aware of the advantages and disadvantages of each option (91% vs. 76%), knew which option they preferred (96% vs. 91%), and were ready to make a decision (99% vs. 90%).
 

Applying results to practice

“Most women over the age of 70 are relatively fit, and the aim should be to treat them with surgery,” Dr. Wyld said. “For the less fit, a point is reached where the oncology benefits of surgery disappear and surgery may just cause harm. This threshold appears to be for women in their mid-80s with moderate to poor health.”

“Use of the Age Gap online tool may enhance shared decision-making for these women while increasing knowledge. And whilst it does seem to increase the use of primary endocrine therapy, this does not seem to have an adverse impact on survival at 36 months of follow-up,” she added.

Dr. Lesly A. Dossett

“The study by Dr. Wyld and colleagues adds to the available literature regarding the scenarios in which some treatments may be omitted without impacting overall survival in older women with breast cancer,” Lesly A. Dossett, MD, of Michigan Medicine in Ann Arbor, commented in an interview.

In her own practice, Dr. Dossett emphasizes the generally favorable prognosis for older women with hormone receptor–positive breast cancer, she said. However, tools that help communicate risk and clarify the value of various therapies are welcome.

“The decision support tool appears to be a promising tool in helping to avoid treatments that are unlikely to benefit older women with breast cancer,” Dr. Dossett said. “The results will be widely applicable, as there is growing recognition that this patient population is at risk for overtreatment.”

The study was funded by the U.K. National Institute for Health Research programme grant for applied research. Dr. Wyld and Dr. Dossett said they had no relevant conflicts of interest.

SOURCES: Wyld L et al. EBCC-12 Virtual Congress. Abstract 8A and Abstract 8B.

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Most older women with estrogen receptor–positive (ER+) breast cancer can tolerate and should be offered surgery, and a new tool helps them decide between treatment options, the U.K. Age Gap study suggests. Findings from the study were reported at the 12th European Breast Cancer Conference.

Dr. Lynda Wyld

“Primary endocrine therapy is usually reserved for older, less fit, and frail women. Rates of use vary widely,” noted investigator Lynda Wyld, MBChB, PhD, of the University of Sheffield (England).

“Although there is no set threshold for who is suitable, some women are undoubtedly over- and undertreated for their breast cancer,” she added.

Dr. Wyld and colleagues undertook the Age Gap study among women older than 70 years with breast cancer recruited from 56 U.K. breast units during 2013-2018.

The main goals were to determine which women can be safely offered primary endocrine therapy as nonstandard care and to develop and test a tool to help women in this age group make treatment decisions.

The first component of the study was a multicenter, prospective cohort study of women with ER+ disease who were eligible for surgery. Results showed that breast cancer–specific mortality was greater with primary endocrine therapy than with surgery in the entire cohort. However, breast cancer–specific mortality was lower with primary endocrine therapy than with surgery in a cohort matched with propensity scores to achieve similar age, fitness, and frailty.

The second component of the study was a cluster-randomized controlled trial of women with operable breast cancer, most of whom had ER+ disease. Results showed that a decision support tool increased awareness of treatment options and readiness to decide. The tool also altered treatment choices, prompting a larger share of patients with ER+ disease to choose primary endocrine therapy.
 

Prospective cohort study

The prospective observational study was conducted in 2,854 women with ER+ disease who were eligible for surgery and treated in usual practice. Most women (n = 2,354) were treated with surgery (followed by antiestrogen therapy), while the rest received primary endocrine therapy (n = 500).

In the entire cohort, patients undergoing surgery were younger, had a lower level of comorbidity, and were less often frail. But these characteristics were generally similar in a propensity-matched cohort of 672 patients.

At a median follow-up of 52 months, overall and breast cancer–specific survival were significantly poorer with primary endocrine therapy versus surgery in the entire cohort but not in the propensity-matched cohort.

In the entire cohort, the breast cancer–specific mortality was 9.5% with primary endocrine therapy and 4.9% with surgery. In the propensity-matched cohort, breast cancer–specific mortality was 3.1% and 6.6%, respectively.

The overall mortality was 41.8% with primary endocrine therapy and 14.6% with surgery in the entire cohort, but the gap narrowed to 34.5% and 25.6%, respectively, in the propensity-matched cohort.

In the latter, “although there is a slight divergence in overall survival and it’s likely that with longer-term follow-up this will become significant, at the moment, it isn’t,” Dr. Wyld commented.

Curves for breast cancer–specific survival basically overlapped until 5 years, when surgery started to show an advantage. The rate of locoregional recurrence or progression was low and not significantly different by treatment.

None of the women in the entire cohort died from surgery. “But it’s worth bearing in mind that these were all women selected for surgery, who were thought to be fit for it by their surgeons. The least fit women in this cohort will have obviously been offered primary endocrine therapy,” Dr. Wyld cautioned.

Although 19% of patients had a surgical complication, only 2.1% had a systemic surgical complication.
 

 

 

Cluster-randomized controlled trial

In the cluster-randomized controlled trial, researchers compared a decision support tool to usual care. The tool was developed using U.K. registry data from almost 30,000 older women and input from women in this age group on their preferred format and method of presentation, according to Dr. Wyld.

The tool consists of an algorithm available to clinicians online (for input of tumor stage and biology, comorbidities, and functional status) plus a booklet and outcome sheets for patients to take home after discussions that can be personalized to their particulars.

Intention-to-treat analyses were based on 1,339 patients with operable breast cancer, 1,161 of whom had ER+ disease. Per-protocol analyses were based on the subset of 449 patients who were offered a choice between surgery and primary endocrine therapy, presumably because they were less fit and frailer.

Results showed that, at 6 months, mean scores for global quality of life on the EORTC questionnaire did not differ between decision support and usual care in the intention-to-treat population (69.0 vs. 68.9; P = .900), but scores were more favorable with decision support in the per-protocol population (70.7 vs. 66.8; P = .044).

The tool also altered treatment choices, with a larger share of ER+ patients choosing primary endocrine therapy (21.0% vs. 15.4%; P = .029) but still having similar disease outcomes.

Although ER+ patients in the decision support group more often selected primary endocrine therapy, at a median follow-up of 36 months, the groups did not differ significantly on overall survival, cause-specific survival, or time to recurrence in either intention-to-treat or per-protocol analyses.

Larger shares of women in the decision support group reported that they had adequate knowledge about the treatment options available to them (94% vs. 74%), were aware of the advantages and disadvantages of each option (91% vs. 76%), knew which option they preferred (96% vs. 91%), and were ready to make a decision (99% vs. 90%).
 

Applying results to practice

“Most women over the age of 70 are relatively fit, and the aim should be to treat them with surgery,” Dr. Wyld said. “For the less fit, a point is reached where the oncology benefits of surgery disappear and surgery may just cause harm. This threshold appears to be for women in their mid-80s with moderate to poor health.”

“Use of the Age Gap online tool may enhance shared decision-making for these women while increasing knowledge. And whilst it does seem to increase the use of primary endocrine therapy, this does not seem to have an adverse impact on survival at 36 months of follow-up,” she added.

Dr. Lesly A. Dossett

“The study by Dr. Wyld and colleagues adds to the available literature regarding the scenarios in which some treatments may be omitted without impacting overall survival in older women with breast cancer,” Lesly A. Dossett, MD, of Michigan Medicine in Ann Arbor, commented in an interview.

In her own practice, Dr. Dossett emphasizes the generally favorable prognosis for older women with hormone receptor–positive breast cancer, she said. However, tools that help communicate risk and clarify the value of various therapies are welcome.

“The decision support tool appears to be a promising tool in helping to avoid treatments that are unlikely to benefit older women with breast cancer,” Dr. Dossett said. “The results will be widely applicable, as there is growing recognition that this patient population is at risk for overtreatment.”

The study was funded by the U.K. National Institute for Health Research programme grant for applied research. Dr. Wyld and Dr. Dossett said they had no relevant conflicts of interest.

SOURCES: Wyld L et al. EBCC-12 Virtual Congress. Abstract 8A and Abstract 8B.

Most older women with estrogen receptor–positive (ER+) breast cancer can tolerate and should be offered surgery, and a new tool helps them decide between treatment options, the U.K. Age Gap study suggests. Findings from the study were reported at the 12th European Breast Cancer Conference.

Dr. Lynda Wyld

“Primary endocrine therapy is usually reserved for older, less fit, and frail women. Rates of use vary widely,” noted investigator Lynda Wyld, MBChB, PhD, of the University of Sheffield (England).

“Although there is no set threshold for who is suitable, some women are undoubtedly over- and undertreated for their breast cancer,” she added.

Dr. Wyld and colleagues undertook the Age Gap study among women older than 70 years with breast cancer recruited from 56 U.K. breast units during 2013-2018.

The main goals were to determine which women can be safely offered primary endocrine therapy as nonstandard care and to develop and test a tool to help women in this age group make treatment decisions.

The first component of the study was a multicenter, prospective cohort study of women with ER+ disease who were eligible for surgery. Results showed that breast cancer–specific mortality was greater with primary endocrine therapy than with surgery in the entire cohort. However, breast cancer–specific mortality was lower with primary endocrine therapy than with surgery in a cohort matched with propensity scores to achieve similar age, fitness, and frailty.

The second component of the study was a cluster-randomized controlled trial of women with operable breast cancer, most of whom had ER+ disease. Results showed that a decision support tool increased awareness of treatment options and readiness to decide. The tool also altered treatment choices, prompting a larger share of patients with ER+ disease to choose primary endocrine therapy.
 

Prospective cohort study

The prospective observational study was conducted in 2,854 women with ER+ disease who were eligible for surgery and treated in usual practice. Most women (n = 2,354) were treated with surgery (followed by antiestrogen therapy), while the rest received primary endocrine therapy (n = 500).

In the entire cohort, patients undergoing surgery were younger, had a lower level of comorbidity, and were less often frail. But these characteristics were generally similar in a propensity-matched cohort of 672 patients.

At a median follow-up of 52 months, overall and breast cancer–specific survival were significantly poorer with primary endocrine therapy versus surgery in the entire cohort but not in the propensity-matched cohort.

In the entire cohort, the breast cancer–specific mortality was 9.5% with primary endocrine therapy and 4.9% with surgery. In the propensity-matched cohort, breast cancer–specific mortality was 3.1% and 6.6%, respectively.

The overall mortality was 41.8% with primary endocrine therapy and 14.6% with surgery in the entire cohort, but the gap narrowed to 34.5% and 25.6%, respectively, in the propensity-matched cohort.

In the latter, “although there is a slight divergence in overall survival and it’s likely that with longer-term follow-up this will become significant, at the moment, it isn’t,” Dr. Wyld commented.

Curves for breast cancer–specific survival basically overlapped until 5 years, when surgery started to show an advantage. The rate of locoregional recurrence or progression was low and not significantly different by treatment.

None of the women in the entire cohort died from surgery. “But it’s worth bearing in mind that these were all women selected for surgery, who were thought to be fit for it by their surgeons. The least fit women in this cohort will have obviously been offered primary endocrine therapy,” Dr. Wyld cautioned.

Although 19% of patients had a surgical complication, only 2.1% had a systemic surgical complication.
 

 

 

Cluster-randomized controlled trial

In the cluster-randomized controlled trial, researchers compared a decision support tool to usual care. The tool was developed using U.K. registry data from almost 30,000 older women and input from women in this age group on their preferred format and method of presentation, according to Dr. Wyld.

The tool consists of an algorithm available to clinicians online (for input of tumor stage and biology, comorbidities, and functional status) plus a booklet and outcome sheets for patients to take home after discussions that can be personalized to their particulars.

Intention-to-treat analyses were based on 1,339 patients with operable breast cancer, 1,161 of whom had ER+ disease. Per-protocol analyses were based on the subset of 449 patients who were offered a choice between surgery and primary endocrine therapy, presumably because they were less fit and frailer.

Results showed that, at 6 months, mean scores for global quality of life on the EORTC questionnaire did not differ between decision support and usual care in the intention-to-treat population (69.0 vs. 68.9; P = .900), but scores were more favorable with decision support in the per-protocol population (70.7 vs. 66.8; P = .044).

The tool also altered treatment choices, with a larger share of ER+ patients choosing primary endocrine therapy (21.0% vs. 15.4%; P = .029) but still having similar disease outcomes.

Although ER+ patients in the decision support group more often selected primary endocrine therapy, at a median follow-up of 36 months, the groups did not differ significantly on overall survival, cause-specific survival, or time to recurrence in either intention-to-treat or per-protocol analyses.

Larger shares of women in the decision support group reported that they had adequate knowledge about the treatment options available to them (94% vs. 74%), were aware of the advantages and disadvantages of each option (91% vs. 76%), knew which option they preferred (96% vs. 91%), and were ready to make a decision (99% vs. 90%).
 

Applying results to practice

“Most women over the age of 70 are relatively fit, and the aim should be to treat them with surgery,” Dr. Wyld said. “For the less fit, a point is reached where the oncology benefits of surgery disappear and surgery may just cause harm. This threshold appears to be for women in their mid-80s with moderate to poor health.”

“Use of the Age Gap online tool may enhance shared decision-making for these women while increasing knowledge. And whilst it does seem to increase the use of primary endocrine therapy, this does not seem to have an adverse impact on survival at 36 months of follow-up,” she added.

Dr. Lesly A. Dossett

“The study by Dr. Wyld and colleagues adds to the available literature regarding the scenarios in which some treatments may be omitted without impacting overall survival in older women with breast cancer,” Lesly A. Dossett, MD, of Michigan Medicine in Ann Arbor, commented in an interview.

In her own practice, Dr. Dossett emphasizes the generally favorable prognosis for older women with hormone receptor–positive breast cancer, she said. However, tools that help communicate risk and clarify the value of various therapies are welcome.

“The decision support tool appears to be a promising tool in helping to avoid treatments that are unlikely to benefit older women with breast cancer,” Dr. Dossett said. “The results will be widely applicable, as there is growing recognition that this patient population is at risk for overtreatment.”

The study was funded by the U.K. National Institute for Health Research programme grant for applied research. Dr. Wyld and Dr. Dossett said they had no relevant conflicts of interest.

SOURCES: Wyld L et al. EBCC-12 Virtual Congress. Abstract 8A and Abstract 8B.

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CDER chief reflects on advances in rare diseases

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Since joining the Food and Drug Administration in 1986, Janet Woodcock, MD, has built a reputation as a stalwart champion of patients and consumers, from helping to usher the approval of the first treatments for cystic fibrosis and multiple sclerosis during her tenure as director of the Office of Therapeutics Research and Review, to introducing the concept of risk management in the agency’s analysis of drug safety during her role as acting director of the Center for Drug Evaluation and Research (CDER).

During an online event on Oct. 9, Dr. Woodcock, who became CDER’s director in 2008, will receive a lifetime achievement award from the National Organization for Rare Disorders*. In this interview, she reflects on the CDER’s accomplishments in the field of rare diseases, from which she draws inspiration, and what it’s like to be overseeing the therapeutics component of Operation Warp Speed amid the COVID-19 pandemic.

Dr. Janet Woodcock




Q: What does this lifetime achievement award from the National Organization for Rare Disorders mean to you at this stage in your career?

Dr. Woodcock:
According to NORD, there are more than 7,000 rare diseases that affect an estimated 25 million Americans. More than half of those affected are children. Many of these diseases are very serious, so there is a great deal of suffering that goes on, sometimes for a lifetime. I’ve always felt that people suffering like this don’t really have a voice. I’ve always tried to push the regulatory science, the science behind evaluation, and all of the efforts we can make to help those who are trying to develop products for people suffering from these rare diseases. The science is really picking up. We’re seeing more drug approvals every year for rare disorders. Hopefully, the lives of people with rare disorders will improve and we will continue to see a trajectory of better outcomes for people.



Q: Who inspired you most early in your career as a physician? What was it about that person (or persons) that made a difference to you?

Dr. Woodcock: During my training I had the privilege to be exposed to a wide range of stellar diagnosticians and people who were good clinicians who cared about their patients. That experience modeled for me what I would like to be as a doctor.



Q: In 2017, the National Consumers League described you as “a passionate advocate for American patients and consumers, an ally to patient advocacy groups, and a fearless leader at the FDA.” In your own words, how do you describe your leadership style?

Dr. Woodcock: People always call me fearless, but I feel like I just state the facts. I care about getting technical input from everyone, but I’m not terribly concerned about people’s disapproval of my actions. I’m a leader who tries to do the right thing, the thing that will benefit patients. I try to keep them at the center of what we’re doing, who we’re regulating for. We work for the American public. As far as CDER, it’s the people who take medicine, people who administer medicine, and people who need treatments.



Q: Since joining CDER as director in 2008, what are some accomplishments you are most proud of as it relates to treatments for patients with rare diseases?

Dr. Woodcock: I undertook a transformation and modernization of the New Drugs Regulatory Program, which created offices that align interrelated disease areas, and divisions with clearer and more focused areas of expertise. These changes will bring efficiency and effectiveness. We also set up an Office of Translational Sciences. All of these actions are important. In developing drugs for rare disorders, we need more flexibility. We have a lot of critics who say, “Rare disease trials are too small.” If you look at a cardiovascular trial of 25,000 people, for example, the investigators might only have .1% of the affected population enrolled. On the other hand, a rare disease trial of 100 people might represent half of the entire population with that disease. We often get criticism because it’s more difficult to define endpoints. The diseases aren’t that well understood, and you’re going to have smaller trials because there aren’t that many people with the disease. We need to figure out how to appropriately exercise that flexibility in regulation and make sure people have access, but have a high probability of getting products that work and have been adequately tested for safely. We also started a Rare Disease Cures Accelerator, which is enrolling people online in natural history studies to see what happens to them so we can better plan studies. We have Patient-Focused Drug Development meetings as a way to gather patients’ perspectives on their conditions and available therapies to treat those conditions. That is eye-opening, because what the doctor thinks about the disease may not be what the patient thinks about the disease. The patients are the ones taking the medicine, so we need to collect their opinions. Such approaches make it easier to study rare diseases and get new treatments.



Q: How do the challenges of drug research and development in the field of rare diseases differ from those associated with more prevalent diseases?

Dr. Woodcock:
There is one advantage today for people with rare diseases. That is, when there is a known genetic mutation causing a disease, RNA interference and other gene therapy approaches can be used. There are challenges, though. Patients with rare disorders often don’t have a uniform disease course. They often have a multisystem impact, so they might have things wrong with their GI tract and/or skin, so it’s difficult to know what to measure. We’re trying to remedy this by gathering better natural history information on what happens to people. That is empowering for patients as well.





Q: In what practical ways can physicians become advocates for patients and their families who are navigating life with a rare disease?

Dr. Woodcock:
I advise people to get involved in the association or advocacy group for their rare disease. It’s empowering. They can share stories and information with others who have been suffering from the disease. Also, they would get information about what trials might be available. As for physicians themselves, they have a bewildering variety of jobs they’re supposed to do, so it’s hard to be good in any one of them. People with rare disease often suffer terribly because they don’t get diagnosed for 10 years even though they have classic symptoms of a particular disorder. If physicians have never seen it or never heard of it, they may not know how to treat it. It’s a huge problem.



Q: Who inspires you most in your work today?

Dr. Woodcock: The dedication of the staff at the FDA is unbelievable. When you look at responses to the Federal Employee Viewpoint Survey administered by the Office of Personnel Management, FDA workers consistently express a strong sense of mission and dedication. It’s out of the park, really. They have worked night and day during this pandemic. I’m inspired by everyone who works at the FDA and their incredible dedication to their work.

Q: In what ways do you cope with the pressure that comes with your line of work? Do you have a favorite hobby or that activity that helps keep you grounded?

Dr. Woodcock: I’m an avid gardener, so I have a garden with vegetables, fruits, and flowers, including a large orchid collection. I’m also a hiker and a physical fitness buff, so I feel like there isn’t enough time in the day for all of my hobbies. Formal hiking trails near me are very crowded now, so I’ve been hiking around my neighborhood, taking long walks and going up and down hills quickly. Last November, I went hiking in New Zealand with my daughter. We hiked the Milford Track, which is about 33 miles long. It goes from an inland lake, over a mountain pass, and to the Pacific Ocean. It was fun, with unbelievable scenery.



Q: What novel treatment developments in rare disorders are you most excited about in the next 5 years?

Dr. Woodcock: I think gene therapy will come into its own. I think that could be a game-changer for people with genetic mutations causing rare diseases, and even cancer. We’ll see. It takes the technology a long time to mature. There are also gene-directed therapies such as RNA inhibition. We’ve already approved a couple of products like that for rare diseases, including treatments for the cardiomyopathy and neuropathy associated with ATTR amyloidosis. As our knowledge of biology continues to grow, I think more of these diseases will be amenable to interventions.



Q: In May of 2020 you were asked to temporarily step aside from your post as director of CDER to work on Operation Warp Speed. Please describe what your role is in this effort to accelerate COVID-19 treatments.

Dr. Woodcock: I’m the lead on therapeutics. Operation Warp Speed is mainly focused on developing vaccines for COVID-19. In the meantime, people who don’t respond to vaccines are going to need therapeutics, such as the elderly, or those who refuse to take vaccines, or those who are immunosuppressed and can’t mount a response to a vaccine. If we can develop those therapeutics now, that would be good to get that populous vaccinated. The team identified what we thought were the five highest priority agents to work on, and we’re testing them. We have identified many more in a priority list. We have five master protocols running for different times in the disease, such as when you’re an outpatient, when you’re an inpatient, or when you’re in the ICU. The work is stressful, because we need these treatments as soon as possible, but we have a great team working on this. I feel like I’m making a contribution in this role, because I know people in industry and in the National Institutes of Health. I try to bring everyone together and get things done.

*Correction, 10/22/20: An earlier version of this article misstated the name of the National Organization for Rare Disorders.

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Since joining the Food and Drug Administration in 1986, Janet Woodcock, MD, has built a reputation as a stalwart champion of patients and consumers, from helping to usher the approval of the first treatments for cystic fibrosis and multiple sclerosis during her tenure as director of the Office of Therapeutics Research and Review, to introducing the concept of risk management in the agency’s analysis of drug safety during her role as acting director of the Center for Drug Evaluation and Research (CDER).

During an online event on Oct. 9, Dr. Woodcock, who became CDER’s director in 2008, will receive a lifetime achievement award from the National Organization for Rare Disorders*. In this interview, she reflects on the CDER’s accomplishments in the field of rare diseases, from which she draws inspiration, and what it’s like to be overseeing the therapeutics component of Operation Warp Speed amid the COVID-19 pandemic.

Dr. Janet Woodcock




Q: What does this lifetime achievement award from the National Organization for Rare Disorders mean to you at this stage in your career?

Dr. Woodcock:
According to NORD, there are more than 7,000 rare diseases that affect an estimated 25 million Americans. More than half of those affected are children. Many of these diseases are very serious, so there is a great deal of suffering that goes on, sometimes for a lifetime. I’ve always felt that people suffering like this don’t really have a voice. I’ve always tried to push the regulatory science, the science behind evaluation, and all of the efforts we can make to help those who are trying to develop products for people suffering from these rare diseases. The science is really picking up. We’re seeing more drug approvals every year for rare disorders. Hopefully, the lives of people with rare disorders will improve and we will continue to see a trajectory of better outcomes for people.



Q: Who inspired you most early in your career as a physician? What was it about that person (or persons) that made a difference to you?

Dr. Woodcock: During my training I had the privilege to be exposed to a wide range of stellar diagnosticians and people who were good clinicians who cared about their patients. That experience modeled for me what I would like to be as a doctor.



Q: In 2017, the National Consumers League described you as “a passionate advocate for American patients and consumers, an ally to patient advocacy groups, and a fearless leader at the FDA.” In your own words, how do you describe your leadership style?

Dr. Woodcock: People always call me fearless, but I feel like I just state the facts. I care about getting technical input from everyone, but I’m not terribly concerned about people’s disapproval of my actions. I’m a leader who tries to do the right thing, the thing that will benefit patients. I try to keep them at the center of what we’re doing, who we’re regulating for. We work for the American public. As far as CDER, it’s the people who take medicine, people who administer medicine, and people who need treatments.



Q: Since joining CDER as director in 2008, what are some accomplishments you are most proud of as it relates to treatments for patients with rare diseases?

Dr. Woodcock: I undertook a transformation and modernization of the New Drugs Regulatory Program, which created offices that align interrelated disease areas, and divisions with clearer and more focused areas of expertise. These changes will bring efficiency and effectiveness. We also set up an Office of Translational Sciences. All of these actions are important. In developing drugs for rare disorders, we need more flexibility. We have a lot of critics who say, “Rare disease trials are too small.” If you look at a cardiovascular trial of 25,000 people, for example, the investigators might only have .1% of the affected population enrolled. On the other hand, a rare disease trial of 100 people might represent half of the entire population with that disease. We often get criticism because it’s more difficult to define endpoints. The diseases aren’t that well understood, and you’re going to have smaller trials because there aren’t that many people with the disease. We need to figure out how to appropriately exercise that flexibility in regulation and make sure people have access, but have a high probability of getting products that work and have been adequately tested for safely. We also started a Rare Disease Cures Accelerator, which is enrolling people online in natural history studies to see what happens to them so we can better plan studies. We have Patient-Focused Drug Development meetings as a way to gather patients’ perspectives on their conditions and available therapies to treat those conditions. That is eye-opening, because what the doctor thinks about the disease may not be what the patient thinks about the disease. The patients are the ones taking the medicine, so we need to collect their opinions. Such approaches make it easier to study rare diseases and get new treatments.



Q: How do the challenges of drug research and development in the field of rare diseases differ from those associated with more prevalent diseases?

Dr. Woodcock:
There is one advantage today for people with rare diseases. That is, when there is a known genetic mutation causing a disease, RNA interference and other gene therapy approaches can be used. There are challenges, though. Patients with rare disorders often don’t have a uniform disease course. They often have a multisystem impact, so they might have things wrong with their GI tract and/or skin, so it’s difficult to know what to measure. We’re trying to remedy this by gathering better natural history information on what happens to people. That is empowering for patients as well.





Q: In what practical ways can physicians become advocates for patients and their families who are navigating life with a rare disease?

Dr. Woodcock:
I advise people to get involved in the association or advocacy group for their rare disease. It’s empowering. They can share stories and information with others who have been suffering from the disease. Also, they would get information about what trials might be available. As for physicians themselves, they have a bewildering variety of jobs they’re supposed to do, so it’s hard to be good in any one of them. People with rare disease often suffer terribly because they don’t get diagnosed for 10 years even though they have classic symptoms of a particular disorder. If physicians have never seen it or never heard of it, they may not know how to treat it. It’s a huge problem.



Q: Who inspires you most in your work today?

Dr. Woodcock: The dedication of the staff at the FDA is unbelievable. When you look at responses to the Federal Employee Viewpoint Survey administered by the Office of Personnel Management, FDA workers consistently express a strong sense of mission and dedication. It’s out of the park, really. They have worked night and day during this pandemic. I’m inspired by everyone who works at the FDA and their incredible dedication to their work.

Q: In what ways do you cope with the pressure that comes with your line of work? Do you have a favorite hobby or that activity that helps keep you grounded?

Dr. Woodcock: I’m an avid gardener, so I have a garden with vegetables, fruits, and flowers, including a large orchid collection. I’m also a hiker and a physical fitness buff, so I feel like there isn’t enough time in the day for all of my hobbies. Formal hiking trails near me are very crowded now, so I’ve been hiking around my neighborhood, taking long walks and going up and down hills quickly. Last November, I went hiking in New Zealand with my daughter. We hiked the Milford Track, which is about 33 miles long. It goes from an inland lake, over a mountain pass, and to the Pacific Ocean. It was fun, with unbelievable scenery.



Q: What novel treatment developments in rare disorders are you most excited about in the next 5 years?

Dr. Woodcock: I think gene therapy will come into its own. I think that could be a game-changer for people with genetic mutations causing rare diseases, and even cancer. We’ll see. It takes the technology a long time to mature. There are also gene-directed therapies such as RNA inhibition. We’ve already approved a couple of products like that for rare diseases, including treatments for the cardiomyopathy and neuropathy associated with ATTR amyloidosis. As our knowledge of biology continues to grow, I think more of these diseases will be amenable to interventions.



Q: In May of 2020 you were asked to temporarily step aside from your post as director of CDER to work on Operation Warp Speed. Please describe what your role is in this effort to accelerate COVID-19 treatments.

Dr. Woodcock: I’m the lead on therapeutics. Operation Warp Speed is mainly focused on developing vaccines for COVID-19. In the meantime, people who don’t respond to vaccines are going to need therapeutics, such as the elderly, or those who refuse to take vaccines, or those who are immunosuppressed and can’t mount a response to a vaccine. If we can develop those therapeutics now, that would be good to get that populous vaccinated. The team identified what we thought were the five highest priority agents to work on, and we’re testing them. We have identified many more in a priority list. We have five master protocols running for different times in the disease, such as when you’re an outpatient, when you’re an inpatient, or when you’re in the ICU. The work is stressful, because we need these treatments as soon as possible, but we have a great team working on this. I feel like I’m making a contribution in this role, because I know people in industry and in the National Institutes of Health. I try to bring everyone together and get things done.

*Correction, 10/22/20: An earlier version of this article misstated the name of the National Organization for Rare Disorders.

Since joining the Food and Drug Administration in 1986, Janet Woodcock, MD, has built a reputation as a stalwart champion of patients and consumers, from helping to usher the approval of the first treatments for cystic fibrosis and multiple sclerosis during her tenure as director of the Office of Therapeutics Research and Review, to introducing the concept of risk management in the agency’s analysis of drug safety during her role as acting director of the Center for Drug Evaluation and Research (CDER).

During an online event on Oct. 9, Dr. Woodcock, who became CDER’s director in 2008, will receive a lifetime achievement award from the National Organization for Rare Disorders*. In this interview, she reflects on the CDER’s accomplishments in the field of rare diseases, from which she draws inspiration, and what it’s like to be overseeing the therapeutics component of Operation Warp Speed amid the COVID-19 pandemic.

Dr. Janet Woodcock




Q: What does this lifetime achievement award from the National Organization for Rare Disorders mean to you at this stage in your career?

Dr. Woodcock:
According to NORD, there are more than 7,000 rare diseases that affect an estimated 25 million Americans. More than half of those affected are children. Many of these diseases are very serious, so there is a great deal of suffering that goes on, sometimes for a lifetime. I’ve always felt that people suffering like this don’t really have a voice. I’ve always tried to push the regulatory science, the science behind evaluation, and all of the efforts we can make to help those who are trying to develop products for people suffering from these rare diseases. The science is really picking up. We’re seeing more drug approvals every year for rare disorders. Hopefully, the lives of people with rare disorders will improve and we will continue to see a trajectory of better outcomes for people.



Q: Who inspired you most early in your career as a physician? What was it about that person (or persons) that made a difference to you?

Dr. Woodcock: During my training I had the privilege to be exposed to a wide range of stellar diagnosticians and people who were good clinicians who cared about their patients. That experience modeled for me what I would like to be as a doctor.



Q: In 2017, the National Consumers League described you as “a passionate advocate for American patients and consumers, an ally to patient advocacy groups, and a fearless leader at the FDA.” In your own words, how do you describe your leadership style?

Dr. Woodcock: People always call me fearless, but I feel like I just state the facts. I care about getting technical input from everyone, but I’m not terribly concerned about people’s disapproval of my actions. I’m a leader who tries to do the right thing, the thing that will benefit patients. I try to keep them at the center of what we’re doing, who we’re regulating for. We work for the American public. As far as CDER, it’s the people who take medicine, people who administer medicine, and people who need treatments.



Q: Since joining CDER as director in 2008, what are some accomplishments you are most proud of as it relates to treatments for patients with rare diseases?

Dr. Woodcock: I undertook a transformation and modernization of the New Drugs Regulatory Program, which created offices that align interrelated disease areas, and divisions with clearer and more focused areas of expertise. These changes will bring efficiency and effectiveness. We also set up an Office of Translational Sciences. All of these actions are important. In developing drugs for rare disorders, we need more flexibility. We have a lot of critics who say, “Rare disease trials are too small.” If you look at a cardiovascular trial of 25,000 people, for example, the investigators might only have .1% of the affected population enrolled. On the other hand, a rare disease trial of 100 people might represent half of the entire population with that disease. We often get criticism because it’s more difficult to define endpoints. The diseases aren’t that well understood, and you’re going to have smaller trials because there aren’t that many people with the disease. We need to figure out how to appropriately exercise that flexibility in regulation and make sure people have access, but have a high probability of getting products that work and have been adequately tested for safely. We also started a Rare Disease Cures Accelerator, which is enrolling people online in natural history studies to see what happens to them so we can better plan studies. We have Patient-Focused Drug Development meetings as a way to gather patients’ perspectives on their conditions and available therapies to treat those conditions. That is eye-opening, because what the doctor thinks about the disease may not be what the patient thinks about the disease. The patients are the ones taking the medicine, so we need to collect their opinions. Such approaches make it easier to study rare diseases and get new treatments.



Q: How do the challenges of drug research and development in the field of rare diseases differ from those associated with more prevalent diseases?

Dr. Woodcock:
There is one advantage today for people with rare diseases. That is, when there is a known genetic mutation causing a disease, RNA interference and other gene therapy approaches can be used. There are challenges, though. Patients with rare disorders often don’t have a uniform disease course. They often have a multisystem impact, so they might have things wrong with their GI tract and/or skin, so it’s difficult to know what to measure. We’re trying to remedy this by gathering better natural history information on what happens to people. That is empowering for patients as well.





Q: In what practical ways can physicians become advocates for patients and their families who are navigating life with a rare disease?

Dr. Woodcock:
I advise people to get involved in the association or advocacy group for their rare disease. It’s empowering. They can share stories and information with others who have been suffering from the disease. Also, they would get information about what trials might be available. As for physicians themselves, they have a bewildering variety of jobs they’re supposed to do, so it’s hard to be good in any one of them. People with rare disease often suffer terribly because they don’t get diagnosed for 10 years even though they have classic symptoms of a particular disorder. If physicians have never seen it or never heard of it, they may not know how to treat it. It’s a huge problem.



Q: Who inspires you most in your work today?

Dr. Woodcock: The dedication of the staff at the FDA is unbelievable. When you look at responses to the Federal Employee Viewpoint Survey administered by the Office of Personnel Management, FDA workers consistently express a strong sense of mission and dedication. It’s out of the park, really. They have worked night and day during this pandemic. I’m inspired by everyone who works at the FDA and their incredible dedication to their work.

Q: In what ways do you cope with the pressure that comes with your line of work? Do you have a favorite hobby or that activity that helps keep you grounded?

Dr. Woodcock: I’m an avid gardener, so I have a garden with vegetables, fruits, and flowers, including a large orchid collection. I’m also a hiker and a physical fitness buff, so I feel like there isn’t enough time in the day for all of my hobbies. Formal hiking trails near me are very crowded now, so I’ve been hiking around my neighborhood, taking long walks and going up and down hills quickly. Last November, I went hiking in New Zealand with my daughter. We hiked the Milford Track, which is about 33 miles long. It goes from an inland lake, over a mountain pass, and to the Pacific Ocean. It was fun, with unbelievable scenery.



Q: What novel treatment developments in rare disorders are you most excited about in the next 5 years?

Dr. Woodcock: I think gene therapy will come into its own. I think that could be a game-changer for people with genetic mutations causing rare diseases, and even cancer. We’ll see. It takes the technology a long time to mature. There are also gene-directed therapies such as RNA inhibition. We’ve already approved a couple of products like that for rare diseases, including treatments for the cardiomyopathy and neuropathy associated with ATTR amyloidosis. As our knowledge of biology continues to grow, I think more of these diseases will be amenable to interventions.



Q: In May of 2020 you were asked to temporarily step aside from your post as director of CDER to work on Operation Warp Speed. Please describe what your role is in this effort to accelerate COVID-19 treatments.

Dr. Woodcock: I’m the lead on therapeutics. Operation Warp Speed is mainly focused on developing vaccines for COVID-19. In the meantime, people who don’t respond to vaccines are going to need therapeutics, such as the elderly, or those who refuse to take vaccines, or those who are immunosuppressed and can’t mount a response to a vaccine. If we can develop those therapeutics now, that would be good to get that populous vaccinated. The team identified what we thought were the five highest priority agents to work on, and we’re testing them. We have identified many more in a priority list. We have five master protocols running for different times in the disease, such as when you’re an outpatient, when you’re an inpatient, or when you’re in the ICU. The work is stressful, because we need these treatments as soon as possible, but we have a great team working on this. I feel like I’m making a contribution in this role, because I know people in industry and in the National Institutes of Health. I try to bring everyone together and get things done.

*Correction, 10/22/20: An earlier version of this article misstated the name of the National Organization for Rare Disorders.

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Medscape Article

The socioeconomic revolving door of 30-day heart failure readmissions

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Fri, 10/09/2020 - 17:22

 

Patients receiving even top-notch hospital care for heart failure (HF) are, once discharged to home, at higher short-term risk of another HF hospitalization if home is in a socioeconomically deprived neighborhood. That helps explain why Blacks in the United States have a much higher 30-day HF readmission risk than Whites, a disparity that only worsens with the level of neighborhood deprivation, a new analysis suggests.

Some systemic and entrenched socioeconomic inequities that health care providers have little sway over, and which disproportionately affect Black individuals, are independent and robust predictors of worsened HF outcomes, Alanna A. Morris, MD, MSc, Emory University, Atlanta, said during her presentation at the virtual annual scientific meeting of the Heart Failure Society of America.

In a retrospective cohort study, Blacks had a 45% higher risk of 30-day readmission than Whites (P < .001) independent of cardiovascular risk factors, clinical history, comorbidities, type and location of hospital, and type of third-party payer coverage. The analysis included more than 30,000 patients with at least one HF hospitalization at centers in a major metropolitan health system.

The racial disparity widened with worsening socioeconomic deprivation of patients’ residential neighborhoods, that is, with rising quartiles of neighborhood scores on the Social Deprivation Index (SDI).

The SDI, based on U.S. census data, incorporates seven socioeconomic criteria, including household income, education level, employment, and prevalence of rented housing and households that are without a car, single parent, or overcrowded.

There was a 4–percentage point gap in adjusted 30-day readmission rate between Blacks and Whites in the lowest quartile that widened to more than 8 points by the third quartile; the disparity in both the second and fourth quartiles was the same, at about 5.5 percentage points.

A remaining question, Dr. Morris said in an interview, is why the outcomes disparity between Blacks and Whites peaks in the third SDI quartile but drops a bit in the fourth quartile representing the most severe neighborhood deprivation.

“Our hypothesis is that when you look at patients who are the poorest, who live in the most deprived neighborhoods, race may be less of a factor,” she said. Socioeconomic deprivation may have similar consequences for everyone “regardless of race, ethnicity, gender, or other demographic characteristics if you live in a neighborhood that’s highly deprived.”

Dr. Keith C. Ferdinand

Based on the current study, “it does appear that increased heart failure incident rates are related to living in deprived neighborhoods, and it raises important clinical and public health concerns that must be addressed,” Keith C. Ferdinand, MD, Tulane University, New Orleans, said as invited discussant after the presentation from Dr. Morris.

“These findings could serve as an aid to policy makers, going forward, in terms of allocating resources for primary health care,” he said. “And it’s important looking at these data and other [data] that we target heart failure patients who reside in deprived neighborhoods before, during, and [after] hospitalization.”

Dr. Morris agreed that policy makers are in a better position to attack the racial disparity in HF readmission rates identified in the study. “This is not a problem that can be fixed within the health care system.”

If the reported interpretation is correct, it could add a twist to the public health care debate in the United States, observed session moderator Mandeep R. Mehra, MD, Brigham and Woman’s Hospital in Boston.

That debate, he noted, has often focused on insurability, access to coverage, and the merits or shortcomings of a single-payer system. Yet the study suggests outcomes disparities stemming from neighborhood deprivation will not be corrected by improved access to health insurance, a conclusion he finds “startling,” Dr. Mehra said in an interview.

Some proposed explanations for the disparities by race blame unequal access to health care and or variable health insurance coverage, Dr. Morris observed in an interview. But “that may not fully explain the increased risk that we see.”

Black patients followed at Emory University’s advanced HF clinic still have a higher risk of rehospitalization than Whites. “These are patients who have insurance, who are followed by advanced heart failure providers, who are on equal amounts of guideline-recommended medical therapy – and you still see about a 50% higher risk of rehospitalization,” Dr. Morris said, citing data that isn’t part of the current analysis.

“We can say that these patients are certainly able to access care, because they are able to access our emergency room and be taken care of within the hospital setting,” he said. The study controlled for whether health coverage was by private insurance, Medicare, or Medicaid.

Instead, the current analysis points to socioeconomic and environmental factors as a major source of the disparity in 30-day readmissions, Dr. Morris said.

“When patients are discharged from our healthcare systems, they still go back into environments where they don’t have the same resources as patients who live in higher-SDI neighborhoods,” she explained.

For example, “we tell them to eat low-sodium [foods], exercise, eat fresh fruits and vegetables, take their medicines, but the reality is that certain neighborhoods within the United States – and this is much more true for Blacks – make it very difficult to follow those self-care recommendations.”

The analysis included 16,147 Black patients and 14,483 White patients hospitalized with HF within the Emory Healthcare system at least once from 2010-2018, Dr. Morris reported. Compared with Whites, Blacks were younger (63.5 vs 69.1 years) and less likely to be 65 or older (48.9% vs. 66.5%); more likely to be women (53.5% vs. 42.2%), more likely to reside in deprived census tracts and to have diabetes, hypertension, or chronic kidney disease; and had higher comorbidity scores.

In all, 20.6% of Black and 13.5% of White patients were readmitted for HF within 30 days of discharge, for an unadjusted risk ratio of 1.52 (95% CI, 1.44-1.61).

The RR hardly budged, 1.45 (95% CI, 1.37-1.54, P < .001), after adjustment for age, sex, type of insurance, type of HF, vital signs and laboratory values, medical history (diabetes, hypertension, atrial fibrillation, coronary disease, chronic kidney disease, and chronic pulmonary disease), Charlson Comorbidity Index, discharging medical specialty, and hospital location.

The excess in 30-day HF readmissions for Black, compared with White patients climbed from the first to the third neighborhood SDI quartile, the disparity peaking at 8.2 absolute percentage points.

A major criticism of the Hospital Readmissions Reduction Program component of the Affordable Care Act, Dr. Morris said in a Q&A discussion after her presentation, is that it can hold hospitals “responsible for structural inequalities that exist beyond the health care system,” including neighborhood deprivation.

“But public policy makers have to realize that there are certain patients we take care of who don’t have the resources to carry out the therapeutic lifestyle changes that will allow them to live healthy.”

The HRRP’s 30-day HF readmission metric that steers reimbursement “is penalizing health care systems across the United States” with its premise that hospital performance can be measured by 30-day HF readmission rates, Dr. Morris said in an interview.

“The reality is that some of these patients are going to a postdischarge environment that is inherently high risk, and that many of them are going to come back to us within 30 days,” she said. “We would like to make sure that we don’t put excess penalties on health care systems that take care of disproportionate numbers of African Americans in neighborhoods that have fewer resources.”

Dr. Morris and Dr. Ferdinand have disclosed no relevant financial relationships. Dr. Mehra discloses consulting or serving on an advisory board for Abbott, Medtronic, Janssen, Leviticus, NupulseCV, FineHeart, Portola, Bayer, the Baim Institute for Clinical Research, and Mesoblast.

A version of this article originally appeared on Medscape.com.

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Patients receiving even top-notch hospital care for heart failure (HF) are, once discharged to home, at higher short-term risk of another HF hospitalization if home is in a socioeconomically deprived neighborhood. That helps explain why Blacks in the United States have a much higher 30-day HF readmission risk than Whites, a disparity that only worsens with the level of neighborhood deprivation, a new analysis suggests.

Some systemic and entrenched socioeconomic inequities that health care providers have little sway over, and which disproportionately affect Black individuals, are independent and robust predictors of worsened HF outcomes, Alanna A. Morris, MD, MSc, Emory University, Atlanta, said during her presentation at the virtual annual scientific meeting of the Heart Failure Society of America.

In a retrospective cohort study, Blacks had a 45% higher risk of 30-day readmission than Whites (P < .001) independent of cardiovascular risk factors, clinical history, comorbidities, type and location of hospital, and type of third-party payer coverage. The analysis included more than 30,000 patients with at least one HF hospitalization at centers in a major metropolitan health system.

The racial disparity widened with worsening socioeconomic deprivation of patients’ residential neighborhoods, that is, with rising quartiles of neighborhood scores on the Social Deprivation Index (SDI).

The SDI, based on U.S. census data, incorporates seven socioeconomic criteria, including household income, education level, employment, and prevalence of rented housing and households that are without a car, single parent, or overcrowded.

There was a 4–percentage point gap in adjusted 30-day readmission rate between Blacks and Whites in the lowest quartile that widened to more than 8 points by the third quartile; the disparity in both the second and fourth quartiles was the same, at about 5.5 percentage points.

A remaining question, Dr. Morris said in an interview, is why the outcomes disparity between Blacks and Whites peaks in the third SDI quartile but drops a bit in the fourth quartile representing the most severe neighborhood deprivation.

“Our hypothesis is that when you look at patients who are the poorest, who live in the most deprived neighborhoods, race may be less of a factor,” she said. Socioeconomic deprivation may have similar consequences for everyone “regardless of race, ethnicity, gender, or other demographic characteristics if you live in a neighborhood that’s highly deprived.”

Dr. Keith C. Ferdinand

Based on the current study, “it does appear that increased heart failure incident rates are related to living in deprived neighborhoods, and it raises important clinical and public health concerns that must be addressed,” Keith C. Ferdinand, MD, Tulane University, New Orleans, said as invited discussant after the presentation from Dr. Morris.

“These findings could serve as an aid to policy makers, going forward, in terms of allocating resources for primary health care,” he said. “And it’s important looking at these data and other [data] that we target heart failure patients who reside in deprived neighborhoods before, during, and [after] hospitalization.”

Dr. Morris agreed that policy makers are in a better position to attack the racial disparity in HF readmission rates identified in the study. “This is not a problem that can be fixed within the health care system.”

If the reported interpretation is correct, it could add a twist to the public health care debate in the United States, observed session moderator Mandeep R. Mehra, MD, Brigham and Woman’s Hospital in Boston.

That debate, he noted, has often focused on insurability, access to coverage, and the merits or shortcomings of a single-payer system. Yet the study suggests outcomes disparities stemming from neighborhood deprivation will not be corrected by improved access to health insurance, a conclusion he finds “startling,” Dr. Mehra said in an interview.

Some proposed explanations for the disparities by race blame unequal access to health care and or variable health insurance coverage, Dr. Morris observed in an interview. But “that may not fully explain the increased risk that we see.”

Black patients followed at Emory University’s advanced HF clinic still have a higher risk of rehospitalization than Whites. “These are patients who have insurance, who are followed by advanced heart failure providers, who are on equal amounts of guideline-recommended medical therapy – and you still see about a 50% higher risk of rehospitalization,” Dr. Morris said, citing data that isn’t part of the current analysis.

“We can say that these patients are certainly able to access care, because they are able to access our emergency room and be taken care of within the hospital setting,” he said. The study controlled for whether health coverage was by private insurance, Medicare, or Medicaid.

Instead, the current analysis points to socioeconomic and environmental factors as a major source of the disparity in 30-day readmissions, Dr. Morris said.

“When patients are discharged from our healthcare systems, they still go back into environments where they don’t have the same resources as patients who live in higher-SDI neighborhoods,” she explained.

For example, “we tell them to eat low-sodium [foods], exercise, eat fresh fruits and vegetables, take their medicines, but the reality is that certain neighborhoods within the United States – and this is much more true for Blacks – make it very difficult to follow those self-care recommendations.”

The analysis included 16,147 Black patients and 14,483 White patients hospitalized with HF within the Emory Healthcare system at least once from 2010-2018, Dr. Morris reported. Compared with Whites, Blacks were younger (63.5 vs 69.1 years) and less likely to be 65 or older (48.9% vs. 66.5%); more likely to be women (53.5% vs. 42.2%), more likely to reside in deprived census tracts and to have diabetes, hypertension, or chronic kidney disease; and had higher comorbidity scores.

In all, 20.6% of Black and 13.5% of White patients were readmitted for HF within 30 days of discharge, for an unadjusted risk ratio of 1.52 (95% CI, 1.44-1.61).

The RR hardly budged, 1.45 (95% CI, 1.37-1.54, P < .001), after adjustment for age, sex, type of insurance, type of HF, vital signs and laboratory values, medical history (diabetes, hypertension, atrial fibrillation, coronary disease, chronic kidney disease, and chronic pulmonary disease), Charlson Comorbidity Index, discharging medical specialty, and hospital location.

The excess in 30-day HF readmissions for Black, compared with White patients climbed from the first to the third neighborhood SDI quartile, the disparity peaking at 8.2 absolute percentage points.

A major criticism of the Hospital Readmissions Reduction Program component of the Affordable Care Act, Dr. Morris said in a Q&A discussion after her presentation, is that it can hold hospitals “responsible for structural inequalities that exist beyond the health care system,” including neighborhood deprivation.

“But public policy makers have to realize that there are certain patients we take care of who don’t have the resources to carry out the therapeutic lifestyle changes that will allow them to live healthy.”

The HRRP’s 30-day HF readmission metric that steers reimbursement “is penalizing health care systems across the United States” with its premise that hospital performance can be measured by 30-day HF readmission rates, Dr. Morris said in an interview.

“The reality is that some of these patients are going to a postdischarge environment that is inherently high risk, and that many of them are going to come back to us within 30 days,” she said. “We would like to make sure that we don’t put excess penalties on health care systems that take care of disproportionate numbers of African Americans in neighborhoods that have fewer resources.”

Dr. Morris and Dr. Ferdinand have disclosed no relevant financial relationships. Dr. Mehra discloses consulting or serving on an advisory board for Abbott, Medtronic, Janssen, Leviticus, NupulseCV, FineHeart, Portola, Bayer, the Baim Institute for Clinical Research, and Mesoblast.

A version of this article originally appeared on Medscape.com.

 

Patients receiving even top-notch hospital care for heart failure (HF) are, once discharged to home, at higher short-term risk of another HF hospitalization if home is in a socioeconomically deprived neighborhood. That helps explain why Blacks in the United States have a much higher 30-day HF readmission risk than Whites, a disparity that only worsens with the level of neighborhood deprivation, a new analysis suggests.

Some systemic and entrenched socioeconomic inequities that health care providers have little sway over, and which disproportionately affect Black individuals, are independent and robust predictors of worsened HF outcomes, Alanna A. Morris, MD, MSc, Emory University, Atlanta, said during her presentation at the virtual annual scientific meeting of the Heart Failure Society of America.

In a retrospective cohort study, Blacks had a 45% higher risk of 30-day readmission than Whites (P < .001) independent of cardiovascular risk factors, clinical history, comorbidities, type and location of hospital, and type of third-party payer coverage. The analysis included more than 30,000 patients with at least one HF hospitalization at centers in a major metropolitan health system.

The racial disparity widened with worsening socioeconomic deprivation of patients’ residential neighborhoods, that is, with rising quartiles of neighborhood scores on the Social Deprivation Index (SDI).

The SDI, based on U.S. census data, incorporates seven socioeconomic criteria, including household income, education level, employment, and prevalence of rented housing and households that are without a car, single parent, or overcrowded.

There was a 4–percentage point gap in adjusted 30-day readmission rate between Blacks and Whites in the lowest quartile that widened to more than 8 points by the third quartile; the disparity in both the second and fourth quartiles was the same, at about 5.5 percentage points.

A remaining question, Dr. Morris said in an interview, is why the outcomes disparity between Blacks and Whites peaks in the third SDI quartile but drops a bit in the fourth quartile representing the most severe neighborhood deprivation.

“Our hypothesis is that when you look at patients who are the poorest, who live in the most deprived neighborhoods, race may be less of a factor,” she said. Socioeconomic deprivation may have similar consequences for everyone “regardless of race, ethnicity, gender, or other demographic characteristics if you live in a neighborhood that’s highly deprived.”

Dr. Keith C. Ferdinand

Based on the current study, “it does appear that increased heart failure incident rates are related to living in deprived neighborhoods, and it raises important clinical and public health concerns that must be addressed,” Keith C. Ferdinand, MD, Tulane University, New Orleans, said as invited discussant after the presentation from Dr. Morris.

“These findings could serve as an aid to policy makers, going forward, in terms of allocating resources for primary health care,” he said. “And it’s important looking at these data and other [data] that we target heart failure patients who reside in deprived neighborhoods before, during, and [after] hospitalization.”

Dr. Morris agreed that policy makers are in a better position to attack the racial disparity in HF readmission rates identified in the study. “This is not a problem that can be fixed within the health care system.”

If the reported interpretation is correct, it could add a twist to the public health care debate in the United States, observed session moderator Mandeep R. Mehra, MD, Brigham and Woman’s Hospital in Boston.

That debate, he noted, has often focused on insurability, access to coverage, and the merits or shortcomings of a single-payer system. Yet the study suggests outcomes disparities stemming from neighborhood deprivation will not be corrected by improved access to health insurance, a conclusion he finds “startling,” Dr. Mehra said in an interview.

Some proposed explanations for the disparities by race blame unequal access to health care and or variable health insurance coverage, Dr. Morris observed in an interview. But “that may not fully explain the increased risk that we see.”

Black patients followed at Emory University’s advanced HF clinic still have a higher risk of rehospitalization than Whites. “These are patients who have insurance, who are followed by advanced heart failure providers, who are on equal amounts of guideline-recommended medical therapy – and you still see about a 50% higher risk of rehospitalization,” Dr. Morris said, citing data that isn’t part of the current analysis.

“We can say that these patients are certainly able to access care, because they are able to access our emergency room and be taken care of within the hospital setting,” he said. The study controlled for whether health coverage was by private insurance, Medicare, or Medicaid.

Instead, the current analysis points to socioeconomic and environmental factors as a major source of the disparity in 30-day readmissions, Dr. Morris said.

“When patients are discharged from our healthcare systems, they still go back into environments where they don’t have the same resources as patients who live in higher-SDI neighborhoods,” she explained.

For example, “we tell them to eat low-sodium [foods], exercise, eat fresh fruits and vegetables, take their medicines, but the reality is that certain neighborhoods within the United States – and this is much more true for Blacks – make it very difficult to follow those self-care recommendations.”

The analysis included 16,147 Black patients and 14,483 White patients hospitalized with HF within the Emory Healthcare system at least once from 2010-2018, Dr. Morris reported. Compared with Whites, Blacks were younger (63.5 vs 69.1 years) and less likely to be 65 or older (48.9% vs. 66.5%); more likely to be women (53.5% vs. 42.2%), more likely to reside in deprived census tracts and to have diabetes, hypertension, or chronic kidney disease; and had higher comorbidity scores.

In all, 20.6% of Black and 13.5% of White patients were readmitted for HF within 30 days of discharge, for an unadjusted risk ratio of 1.52 (95% CI, 1.44-1.61).

The RR hardly budged, 1.45 (95% CI, 1.37-1.54, P < .001), after adjustment for age, sex, type of insurance, type of HF, vital signs and laboratory values, medical history (diabetes, hypertension, atrial fibrillation, coronary disease, chronic kidney disease, and chronic pulmonary disease), Charlson Comorbidity Index, discharging medical specialty, and hospital location.

The excess in 30-day HF readmissions for Black, compared with White patients climbed from the first to the third neighborhood SDI quartile, the disparity peaking at 8.2 absolute percentage points.

A major criticism of the Hospital Readmissions Reduction Program component of the Affordable Care Act, Dr. Morris said in a Q&A discussion after her presentation, is that it can hold hospitals “responsible for structural inequalities that exist beyond the health care system,” including neighborhood deprivation.

“But public policy makers have to realize that there are certain patients we take care of who don’t have the resources to carry out the therapeutic lifestyle changes that will allow them to live healthy.”

The HRRP’s 30-day HF readmission metric that steers reimbursement “is penalizing health care systems across the United States” with its premise that hospital performance can be measured by 30-day HF readmission rates, Dr. Morris said in an interview.

“The reality is that some of these patients are going to a postdischarge environment that is inherently high risk, and that many of them are going to come back to us within 30 days,” she said. “We would like to make sure that we don’t put excess penalties on health care systems that take care of disproportionate numbers of African Americans in neighborhoods that have fewer resources.”

Dr. Morris and Dr. Ferdinand have disclosed no relevant financial relationships. Dr. Mehra discloses consulting or serving on an advisory board for Abbott, Medtronic, Janssen, Leviticus, NupulseCV, FineHeart, Portola, Bayer, the Baim Institute for Clinical Research, and Mesoblast.

A version of this article originally appeared on Medscape.com.

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More data on impact of corticosteroids on COVID-19 mortality in patients with COPD

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Thu, 08/26/2021 - 15:59

Inhaled corticosteroids (ICS) do not protect patients with chronic respiratory conditions against COVID-19-related death, a study of almost 1 million individuals in the United Kingdom has shown.

Patients with chronic obstructive pulmonary disease or asthma who used ICS on a regular basis were more likely to die from COVID-19 than COPD or asthma patients who were prescribed non-ICS therapies, reported co-lead author Anna Schultze, PhD, of London School of Hygiene & Tropical Medicine and colleagues.

Dr. Megan Conroy

Of note, the increased risk of death among ICS users likely stemmed from greater severity of preexisting chronic respiratory conditions, instead of directly from ICS usage, which has little apparent impact on COVID-19 mortality, the investigators wrote in Lancet Respiratory Medicine.

These findings conflict with a hypothesis proposed early in the pandemic: that ICS may protect individuals from SARS-CoV-2 infection and poor outcomes with COVID-19.

According to Megan Conroy, MD, of the department of internal medicine at the Ohio State University Wexner Medical Center, Columbus, this hypothesis was based on some unexpected epidemiological findings.

“In general, we tend to think people with underlying lung disease – like COPD or asthma – to be at higher risk for severe forms of lower respiratory tract infections,” Dr. Conroy said. “Somewhat surprisingly, early data in the pandemic showed patients with COPD and asthma [were] underrepresented [among patients with COVID] when compared to the prevalence of these diseases in the population.”

This raised the possibility of an incidental protective effect from regular ICS therapy, which “had some strong theoretic pathophysiologic basis,” Dr. Conroy said, referring to research that demonstrated ICS-mediated downregulation of SARS-CoV-2 entry receptors ACE2 and TMPRSS2.

Dr. Schultze and colleagues noted that investigators for two ongoing randomized controlled trials (NCT04331054, NCT04330586) are studying ICS as an intervention for COVID-19; but neither trial includes individuals already taking ICS for chronic respiratory disease.

The present observational study therefore aimed to assess mortality risk within this population. Data were drawn from electronic health records and a U.K. national mortality database, with follow-up ranging from March 1 to May 6, 2020. Eligibility required a relevant prescription within 4 months of first follow-up. In the COPD group, patients were prescribed a long-acting beta agonist plus a long-acting muscarinic antagonist (LABA–LAMA), LABA alone, LABA plus ICS, LABA–LAMA plus ICS, or ICS alone (if prescribed LABA within 4 months).

In the asthma group, patients received low/medium-dose ICS, high-dose ICS, or a short-acting beta agonist (SABA) alone. Patients with COPD were at least 35 years of age, while those with asthma were 18 years or older. Hazard ratios were adjusted for a variety of covariates, including respiratory disease–exacerbation history, age, sex, body mass index, hypertension, diabetes, and others.

These eligibility criteria returned 148,557 patients with COPD and 818,490 with asthma.

Patients with COPD who were prescribed ICS plus LABA-LAMA or ICS plus LABA had an increased risk of COVID-19-related death, compared with those who did not receive ICS (adjusted hazard ratio, 1.39; 95% confidence interval, 1.10-1.76). Separate analyses of patients who received a triple combination (LABA–LAMA plus ICS) versus those who took a dual combination (LABA plus ICS) showed that triple-combination therapy was significantly associated with increased COVID-19-related mortality (aHR, 1.43; 95% CI, 1.12-1.83), while dual-combination therapy was less so (aHR, 1.29; 95% CI, 0.96-1.74). Non–COVID-19–related mortality was significantly increased for all COPD patients who were prescribed ICS, with or without adjustment for covariates.

Asthma patients prescribed high-dose ICS instead of SABA alone had a slightly greater risk of COVID-19–related death, based on an adjusted hazard ratio of 1.55 (95% CI, 1.10-2.18). Those with asthma who received low/medium–dose ICS demonstrated a slight trend toward increased mortality risk, but this was not significant (aHR, 1.14; 95% CI, 0.85-1.54). ICS usage in the asthma group was not linked with a significant increase in non–COVID-19–related death.

“In summary, we found no evidence of a beneficial effect of regular ICS use among people with COPD and asthma on COVID-19–related mortality,” the investigators concluded.

In agreement with the investigators, Dr. Conroy said that the increased mortality rate among ICS users should not be misconstrued as a medication-related risk.

“While the study found that those with COPD or asthma taking ICS and high-dose ICS were at an increased risk of death, this could easily be explained by the likelihood that those are the patients who are more likely to have more severe underlying lung disease,” Dr. Conroy said. “While this observational study did attempt to control for exacerbation history, the ability to do so by electronic health records data is certainly imperfect.”

With this in mind, patients with chronic respiratory disease should be encouraged to adhere to their usual treatment regimen, Dr. Conroy added.

“There isn’t evidence to increase or decrease medications just because of the pandemic,” she said. “A patient with asthma or COPD should continue to take the medications that are needed to achieve good control of their lung disease.”

The study was funded by the U.K. Medical Research Council. The investigators reported additional relationships with the Wellcome Trust, the Good Thinking Foundation, the Laura and John Arnold Foundation, and others. Dr. Conroy reported no conflicts of interest.

SOURCE: Schultze A et al. Lancet Respir Med. 2020 Sep 24. doi: 10.1016/ S2213-2600(20)30415-X.

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Inhaled corticosteroids (ICS) do not protect patients with chronic respiratory conditions against COVID-19-related death, a study of almost 1 million individuals in the United Kingdom has shown.

Patients with chronic obstructive pulmonary disease or asthma who used ICS on a regular basis were more likely to die from COVID-19 than COPD or asthma patients who were prescribed non-ICS therapies, reported co-lead author Anna Schultze, PhD, of London School of Hygiene & Tropical Medicine and colleagues.

Dr. Megan Conroy

Of note, the increased risk of death among ICS users likely stemmed from greater severity of preexisting chronic respiratory conditions, instead of directly from ICS usage, which has little apparent impact on COVID-19 mortality, the investigators wrote in Lancet Respiratory Medicine.

These findings conflict with a hypothesis proposed early in the pandemic: that ICS may protect individuals from SARS-CoV-2 infection and poor outcomes with COVID-19.

According to Megan Conroy, MD, of the department of internal medicine at the Ohio State University Wexner Medical Center, Columbus, this hypothesis was based on some unexpected epidemiological findings.

“In general, we tend to think people with underlying lung disease – like COPD or asthma – to be at higher risk for severe forms of lower respiratory tract infections,” Dr. Conroy said. “Somewhat surprisingly, early data in the pandemic showed patients with COPD and asthma [were] underrepresented [among patients with COVID] when compared to the prevalence of these diseases in the population.”

This raised the possibility of an incidental protective effect from regular ICS therapy, which “had some strong theoretic pathophysiologic basis,” Dr. Conroy said, referring to research that demonstrated ICS-mediated downregulation of SARS-CoV-2 entry receptors ACE2 and TMPRSS2.

Dr. Schultze and colleagues noted that investigators for two ongoing randomized controlled trials (NCT04331054, NCT04330586) are studying ICS as an intervention for COVID-19; but neither trial includes individuals already taking ICS for chronic respiratory disease.

The present observational study therefore aimed to assess mortality risk within this population. Data were drawn from electronic health records and a U.K. national mortality database, with follow-up ranging from March 1 to May 6, 2020. Eligibility required a relevant prescription within 4 months of first follow-up. In the COPD group, patients were prescribed a long-acting beta agonist plus a long-acting muscarinic antagonist (LABA–LAMA), LABA alone, LABA plus ICS, LABA–LAMA plus ICS, or ICS alone (if prescribed LABA within 4 months).

In the asthma group, patients received low/medium-dose ICS, high-dose ICS, or a short-acting beta agonist (SABA) alone. Patients with COPD were at least 35 years of age, while those with asthma were 18 years or older. Hazard ratios were adjusted for a variety of covariates, including respiratory disease–exacerbation history, age, sex, body mass index, hypertension, diabetes, and others.

These eligibility criteria returned 148,557 patients with COPD and 818,490 with asthma.

Patients with COPD who were prescribed ICS plus LABA-LAMA or ICS plus LABA had an increased risk of COVID-19-related death, compared with those who did not receive ICS (adjusted hazard ratio, 1.39; 95% confidence interval, 1.10-1.76). Separate analyses of patients who received a triple combination (LABA–LAMA plus ICS) versus those who took a dual combination (LABA plus ICS) showed that triple-combination therapy was significantly associated with increased COVID-19-related mortality (aHR, 1.43; 95% CI, 1.12-1.83), while dual-combination therapy was less so (aHR, 1.29; 95% CI, 0.96-1.74). Non–COVID-19–related mortality was significantly increased for all COPD patients who were prescribed ICS, with or without adjustment for covariates.

Asthma patients prescribed high-dose ICS instead of SABA alone had a slightly greater risk of COVID-19–related death, based on an adjusted hazard ratio of 1.55 (95% CI, 1.10-2.18). Those with asthma who received low/medium–dose ICS demonstrated a slight trend toward increased mortality risk, but this was not significant (aHR, 1.14; 95% CI, 0.85-1.54). ICS usage in the asthma group was not linked with a significant increase in non–COVID-19–related death.

“In summary, we found no evidence of a beneficial effect of regular ICS use among people with COPD and asthma on COVID-19–related mortality,” the investigators concluded.

In agreement with the investigators, Dr. Conroy said that the increased mortality rate among ICS users should not be misconstrued as a medication-related risk.

“While the study found that those with COPD or asthma taking ICS and high-dose ICS were at an increased risk of death, this could easily be explained by the likelihood that those are the patients who are more likely to have more severe underlying lung disease,” Dr. Conroy said. “While this observational study did attempt to control for exacerbation history, the ability to do so by electronic health records data is certainly imperfect.”

With this in mind, patients with chronic respiratory disease should be encouraged to adhere to their usual treatment regimen, Dr. Conroy added.

“There isn’t evidence to increase or decrease medications just because of the pandemic,” she said. “A patient with asthma or COPD should continue to take the medications that are needed to achieve good control of their lung disease.”

The study was funded by the U.K. Medical Research Council. The investigators reported additional relationships with the Wellcome Trust, the Good Thinking Foundation, the Laura and John Arnold Foundation, and others. Dr. Conroy reported no conflicts of interest.

SOURCE: Schultze A et al. Lancet Respir Med. 2020 Sep 24. doi: 10.1016/ S2213-2600(20)30415-X.

Inhaled corticosteroids (ICS) do not protect patients with chronic respiratory conditions against COVID-19-related death, a study of almost 1 million individuals in the United Kingdom has shown.

Patients with chronic obstructive pulmonary disease or asthma who used ICS on a regular basis were more likely to die from COVID-19 than COPD or asthma patients who were prescribed non-ICS therapies, reported co-lead author Anna Schultze, PhD, of London School of Hygiene & Tropical Medicine and colleagues.

Dr. Megan Conroy

Of note, the increased risk of death among ICS users likely stemmed from greater severity of preexisting chronic respiratory conditions, instead of directly from ICS usage, which has little apparent impact on COVID-19 mortality, the investigators wrote in Lancet Respiratory Medicine.

These findings conflict with a hypothesis proposed early in the pandemic: that ICS may protect individuals from SARS-CoV-2 infection and poor outcomes with COVID-19.

According to Megan Conroy, MD, of the department of internal medicine at the Ohio State University Wexner Medical Center, Columbus, this hypothesis was based on some unexpected epidemiological findings.

“In general, we tend to think people with underlying lung disease – like COPD or asthma – to be at higher risk for severe forms of lower respiratory tract infections,” Dr. Conroy said. “Somewhat surprisingly, early data in the pandemic showed patients with COPD and asthma [were] underrepresented [among patients with COVID] when compared to the prevalence of these diseases in the population.”

This raised the possibility of an incidental protective effect from regular ICS therapy, which “had some strong theoretic pathophysiologic basis,” Dr. Conroy said, referring to research that demonstrated ICS-mediated downregulation of SARS-CoV-2 entry receptors ACE2 and TMPRSS2.

Dr. Schultze and colleagues noted that investigators for two ongoing randomized controlled trials (NCT04331054, NCT04330586) are studying ICS as an intervention for COVID-19; but neither trial includes individuals already taking ICS for chronic respiratory disease.

The present observational study therefore aimed to assess mortality risk within this population. Data were drawn from electronic health records and a U.K. national mortality database, with follow-up ranging from March 1 to May 6, 2020. Eligibility required a relevant prescription within 4 months of first follow-up. In the COPD group, patients were prescribed a long-acting beta agonist plus a long-acting muscarinic antagonist (LABA–LAMA), LABA alone, LABA plus ICS, LABA–LAMA plus ICS, or ICS alone (if prescribed LABA within 4 months).

In the asthma group, patients received low/medium-dose ICS, high-dose ICS, or a short-acting beta agonist (SABA) alone. Patients with COPD were at least 35 years of age, while those with asthma were 18 years or older. Hazard ratios were adjusted for a variety of covariates, including respiratory disease–exacerbation history, age, sex, body mass index, hypertension, diabetes, and others.

These eligibility criteria returned 148,557 patients with COPD and 818,490 with asthma.

Patients with COPD who were prescribed ICS plus LABA-LAMA or ICS plus LABA had an increased risk of COVID-19-related death, compared with those who did not receive ICS (adjusted hazard ratio, 1.39; 95% confidence interval, 1.10-1.76). Separate analyses of patients who received a triple combination (LABA–LAMA plus ICS) versus those who took a dual combination (LABA plus ICS) showed that triple-combination therapy was significantly associated with increased COVID-19-related mortality (aHR, 1.43; 95% CI, 1.12-1.83), while dual-combination therapy was less so (aHR, 1.29; 95% CI, 0.96-1.74). Non–COVID-19–related mortality was significantly increased for all COPD patients who were prescribed ICS, with or without adjustment for covariates.

Asthma patients prescribed high-dose ICS instead of SABA alone had a slightly greater risk of COVID-19–related death, based on an adjusted hazard ratio of 1.55 (95% CI, 1.10-2.18). Those with asthma who received low/medium–dose ICS demonstrated a slight trend toward increased mortality risk, but this was not significant (aHR, 1.14; 95% CI, 0.85-1.54). ICS usage in the asthma group was not linked with a significant increase in non–COVID-19–related death.

“In summary, we found no evidence of a beneficial effect of regular ICS use among people with COPD and asthma on COVID-19–related mortality,” the investigators concluded.

In agreement with the investigators, Dr. Conroy said that the increased mortality rate among ICS users should not be misconstrued as a medication-related risk.

“While the study found that those with COPD or asthma taking ICS and high-dose ICS were at an increased risk of death, this could easily be explained by the likelihood that those are the patients who are more likely to have more severe underlying lung disease,” Dr. Conroy said. “While this observational study did attempt to control for exacerbation history, the ability to do so by electronic health records data is certainly imperfect.”

With this in mind, patients with chronic respiratory disease should be encouraged to adhere to their usual treatment regimen, Dr. Conroy added.

“There isn’t evidence to increase or decrease medications just because of the pandemic,” she said. “A patient with asthma or COPD should continue to take the medications that are needed to achieve good control of their lung disease.”

The study was funded by the U.K. Medical Research Council. The investigators reported additional relationships with the Wellcome Trust, the Good Thinking Foundation, the Laura and John Arnold Foundation, and others. Dr. Conroy reported no conflicts of interest.

SOURCE: Schultze A et al. Lancet Respir Med. 2020 Sep 24. doi: 10.1016/ S2213-2600(20)30415-X.

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Surgeon general pushes for improved hypertension control

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Roughly half of American adults have hypertension, and about 71% of these cases are uncontrolled, according to data from the American Heart Association.

Dr. Jerome M. Adams

If left uncontrolled, hypertension can increase risk for conditions including heart disease, stroke, kidney disease, pregnancy complications, and cognitive decline, surgeon general Vice Adm. Jerome M. Adams, MD, said in a teleconference on Oct. 7. Hispanic and Black individuals are disproportionately affected, he added.

“We cannot wait to deal with this epidemic of uncontrolled high blood pressure,” even in the midst of the ongoing COVID-19 pandemic, said Dr. Adams. “We know what works” to help control hypertension, he added, citing his own use of a blood pressure monitoring device at home.

The Department of Health & Human Services has issued a Call to Action to Control Hypertension based on the latest science and research.

Dr. Adams outlined three goals to improve hypertension control, starting with making it a national priority. The Call to Action supports increasing awareness of the health risks associated with hypertension, recognizing the economic impact, overcoming barriers to controlling hypertension, and promoting health equity.

“In 2020, disparities in the burden of disease – especially among minority populations – have been recognized during the COVID-19 pandemic. A growing body of evidence has shown that people with underlying health conditions, including cardiovascular disease, are at increased risk of worse outcomes related to COVID-19 infection,” according to the Call to Action.

A second goal is to build and sustain communities that support individuals in taking responsibility for their health and blood pressure control, Dr. Adams said. He cited the need to create places for safe physical activity, access to healthy food, and opportunities to connect to resources to support lifestyle changes.

Finally, clinicians should continue to use standardized treatment approaches and promote team-based care to maximize outcomes for patients, Dr. Adams said.

Success starts with making hypertension control a priority across the leadership team, regardless of the size, location, or demographic population at a health care setting, he said. Dr. Adams cited the Million Hearts 2022 program, an ongoing initiative to prevent 1 million heart attacks in the United States over 5 years, as a way that HHS is recognizing and rewarding success stories in hypertension control from across the country.

Empowering patients and equipping them to take charge of their hypertension essential to reducing the epidemic of high blood pressure, especially during the ongoing pandemic, Dr. Adams said. His message to clinicians to extend to patients is that it is safe to visit their doctors. Hospitals have worked to create a safe environment, however, patients can and should monitor their blood pressure regularly at home, using a self-measured blood pressure monitoring (SMBP) device, which may be covered by some insurers.

“I would encourage people to know their numbers,” and that 130/80 mm Hg is considered high and a risk factor for poor health outcomes, Dr. Adams said. Clinicians also should continue to support patients in lifestyle changes such as healthy eating and exercising regularly to help control high blood pressure.

The AHA expressed support for the surgeon general’s Call to Action. “Today’s call to action references updated hypertension guidelines the AHA and the American College of Cardiology issued in 2017 that apply the latest science to help clinicians work with patients to control their blood pressure,” the AHA said in a statement. The AHA also called on the Centers for Medicare & Medicaid Services and other insurance providers “to include coverage of SMBP devices for treatment and management of hypertension.”

The Call to Action was accompanied by a Viewpoint from Dr. Adams and Janet S. Wright, MD, also of the HHS, published in JAMA. Dr. Adams and Dr. Wright emphasized that the timing of the Call to Action recognizes that many of the same social factors that support or impede successful high blood pressure control are factors in worse outcomes from COVID-19 infections as well.

“When coupled with widespread implementation of best practices in clinical settings and empowering individuals to actively manage their blood pressure, acknowledging and addressing a community’s social conditions may generate sustained improvements in control of both hypertension and COVID-19,” they said.

Read and download the full Call to Action here, and read the Executive Summary at hhs.gov.

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Roughly half of American adults have hypertension, and about 71% of these cases are uncontrolled, according to data from the American Heart Association.

Dr. Jerome M. Adams

If left uncontrolled, hypertension can increase risk for conditions including heart disease, stroke, kidney disease, pregnancy complications, and cognitive decline, surgeon general Vice Adm. Jerome M. Adams, MD, said in a teleconference on Oct. 7. Hispanic and Black individuals are disproportionately affected, he added.

“We cannot wait to deal with this epidemic of uncontrolled high blood pressure,” even in the midst of the ongoing COVID-19 pandemic, said Dr. Adams. “We know what works” to help control hypertension, he added, citing his own use of a blood pressure monitoring device at home.

The Department of Health & Human Services has issued a Call to Action to Control Hypertension based on the latest science and research.

Dr. Adams outlined three goals to improve hypertension control, starting with making it a national priority. The Call to Action supports increasing awareness of the health risks associated with hypertension, recognizing the economic impact, overcoming barriers to controlling hypertension, and promoting health equity.

“In 2020, disparities in the burden of disease – especially among minority populations – have been recognized during the COVID-19 pandemic. A growing body of evidence has shown that people with underlying health conditions, including cardiovascular disease, are at increased risk of worse outcomes related to COVID-19 infection,” according to the Call to Action.

A second goal is to build and sustain communities that support individuals in taking responsibility for their health and blood pressure control, Dr. Adams said. He cited the need to create places for safe physical activity, access to healthy food, and opportunities to connect to resources to support lifestyle changes.

Finally, clinicians should continue to use standardized treatment approaches and promote team-based care to maximize outcomes for patients, Dr. Adams said.

Success starts with making hypertension control a priority across the leadership team, regardless of the size, location, or demographic population at a health care setting, he said. Dr. Adams cited the Million Hearts 2022 program, an ongoing initiative to prevent 1 million heart attacks in the United States over 5 years, as a way that HHS is recognizing and rewarding success stories in hypertension control from across the country.

Empowering patients and equipping them to take charge of their hypertension essential to reducing the epidemic of high blood pressure, especially during the ongoing pandemic, Dr. Adams said. His message to clinicians to extend to patients is that it is safe to visit their doctors. Hospitals have worked to create a safe environment, however, patients can and should monitor their blood pressure regularly at home, using a self-measured blood pressure monitoring (SMBP) device, which may be covered by some insurers.

“I would encourage people to know their numbers,” and that 130/80 mm Hg is considered high and a risk factor for poor health outcomes, Dr. Adams said. Clinicians also should continue to support patients in lifestyle changes such as healthy eating and exercising regularly to help control high blood pressure.

The AHA expressed support for the surgeon general’s Call to Action. “Today’s call to action references updated hypertension guidelines the AHA and the American College of Cardiology issued in 2017 that apply the latest science to help clinicians work with patients to control their blood pressure,” the AHA said in a statement. The AHA also called on the Centers for Medicare & Medicaid Services and other insurance providers “to include coverage of SMBP devices for treatment and management of hypertension.”

The Call to Action was accompanied by a Viewpoint from Dr. Adams and Janet S. Wright, MD, also of the HHS, published in JAMA. Dr. Adams and Dr. Wright emphasized that the timing of the Call to Action recognizes that many of the same social factors that support or impede successful high blood pressure control are factors in worse outcomes from COVID-19 infections as well.

“When coupled with widespread implementation of best practices in clinical settings and empowering individuals to actively manage their blood pressure, acknowledging and addressing a community’s social conditions may generate sustained improvements in control of both hypertension and COVID-19,” they said.

Read and download the full Call to Action here, and read the Executive Summary at hhs.gov.

Roughly half of American adults have hypertension, and about 71% of these cases are uncontrolled, according to data from the American Heart Association.

Dr. Jerome M. Adams

If left uncontrolled, hypertension can increase risk for conditions including heart disease, stroke, kidney disease, pregnancy complications, and cognitive decline, surgeon general Vice Adm. Jerome M. Adams, MD, said in a teleconference on Oct. 7. Hispanic and Black individuals are disproportionately affected, he added.

“We cannot wait to deal with this epidemic of uncontrolled high blood pressure,” even in the midst of the ongoing COVID-19 pandemic, said Dr. Adams. “We know what works” to help control hypertension, he added, citing his own use of a blood pressure monitoring device at home.

The Department of Health & Human Services has issued a Call to Action to Control Hypertension based on the latest science and research.

Dr. Adams outlined three goals to improve hypertension control, starting with making it a national priority. The Call to Action supports increasing awareness of the health risks associated with hypertension, recognizing the economic impact, overcoming barriers to controlling hypertension, and promoting health equity.

“In 2020, disparities in the burden of disease – especially among minority populations – have been recognized during the COVID-19 pandemic. A growing body of evidence has shown that people with underlying health conditions, including cardiovascular disease, are at increased risk of worse outcomes related to COVID-19 infection,” according to the Call to Action.

A second goal is to build and sustain communities that support individuals in taking responsibility for their health and blood pressure control, Dr. Adams said. He cited the need to create places for safe physical activity, access to healthy food, and opportunities to connect to resources to support lifestyle changes.

Finally, clinicians should continue to use standardized treatment approaches and promote team-based care to maximize outcomes for patients, Dr. Adams said.

Success starts with making hypertension control a priority across the leadership team, regardless of the size, location, or demographic population at a health care setting, he said. Dr. Adams cited the Million Hearts 2022 program, an ongoing initiative to prevent 1 million heart attacks in the United States over 5 years, as a way that HHS is recognizing and rewarding success stories in hypertension control from across the country.

Empowering patients and equipping them to take charge of their hypertension essential to reducing the epidemic of high blood pressure, especially during the ongoing pandemic, Dr. Adams said. His message to clinicians to extend to patients is that it is safe to visit their doctors. Hospitals have worked to create a safe environment, however, patients can and should monitor their blood pressure regularly at home, using a self-measured blood pressure monitoring (SMBP) device, which may be covered by some insurers.

“I would encourage people to know their numbers,” and that 130/80 mm Hg is considered high and a risk factor for poor health outcomes, Dr. Adams said. Clinicians also should continue to support patients in lifestyle changes such as healthy eating and exercising regularly to help control high blood pressure.

The AHA expressed support for the surgeon general’s Call to Action. “Today’s call to action references updated hypertension guidelines the AHA and the American College of Cardiology issued in 2017 that apply the latest science to help clinicians work with patients to control their blood pressure,” the AHA said in a statement. The AHA also called on the Centers for Medicare & Medicaid Services and other insurance providers “to include coverage of SMBP devices for treatment and management of hypertension.”

The Call to Action was accompanied by a Viewpoint from Dr. Adams and Janet S. Wright, MD, also of the HHS, published in JAMA. Dr. Adams and Dr. Wright emphasized that the timing of the Call to Action recognizes that many of the same social factors that support or impede successful high blood pressure control are factors in worse outcomes from COVID-19 infections as well.

“When coupled with widespread implementation of best practices in clinical settings and empowering individuals to actively manage their blood pressure, acknowledging and addressing a community’s social conditions may generate sustained improvements in control of both hypertension and COVID-19,” they said.

Read and download the full Call to Action here, and read the Executive Summary at hhs.gov.

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Retrospective Review on the Safety and Efficacy of Direct Oral Anticoagulants Compared With Warfarin in Patients With Cirrhosis

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Tue, 10/20/2020 - 11:19

Coagulation in patients with cirrhosis is a complicated area of evolving research. Patients with cirrhosis were originally thought to be naturally anticoagulated due to the decreased production of clotting factors and platelets, combined with an increased international normalized ratio (INR).1 New data have shown that patients with cirrhosis are at a concomitant risk of bleeding and thrombosis due to increased platelet aggregation, decreased fibrinolysis, and decreased production of natural anticoagulants such as protein C and antithrombin.1 Traditionally, patients with cirrhosis needing anticoagulation therapy for comorbid conditions, such as nonvalvular atrial fibrillation (NVAF) or venous thromboembolism (VTE) were placed on warfarin therapy. Managing warfarin in patients with cirrhosis poses a challenge to clinicians due to the many food and drug interactions, narrow therapeutic index, and complications with maintaining a therapeutic INR.1

Direct oral anticoagulants (DOACs) have several benefits over warfarin therapy, including convenience, decreased monitoring, decreased drug and dietary restrictions, and faster onset of action.2 Conversely, DOACs undergo extensive hepatic metabolism giving rise to concerns about supratherapeutic drug levels and increased bleeding rates in patients with liver dysfunction.1 Consequently, patients with cirrhosis were excluded from the pivotal trials establishing DOACs for NVAF and VTE treatment. Exclusion of these patients in major clinical trials alongside the challenges of managing warfarin warrant an evaluation of the efficacy and safety of DOACs in patients with cirrhosis.

Recent retrospective studies have examined the use of DOACs in patients with cirrhosis and found favorable results. A retrospective chart review by Intagliata and colleagues consisting of 39 patients with cirrhosis using either a DOAC or warfarin found similar rates of all-cause bleeding and major bleeding between the 2 groups.3 A retrospective cohort study by Hum and colleagues consisting of 45 patients with cirrhosis compared the use of DOACs with warfarin or low-molecular weight heparin (LMWH).4 Hum and colleagues found patients prescribed a DOAC had significantly fewer major bleeding events than did patients using warfarin or LMWH.4 The largest retrospective cohort study consisted of 233 patients with chronic liver disease and found no differences among all-cause bleeding and major bleeding rates between patients using DOACs compared with those of patients using warfarin.5

The purpose of this research is to evaluate the safety and efficacy of DOACs in veteran patients with cirrhosis compared with patients using warfarin.

Methods

A retrospective single-center chart review was conducted at the Michael E. DeBakey Veterans Affairs Medical Center (MEDVAMC) in Houston, Texas, between October 31, 2014 and October 31, 2018. Patients included in the study were adults aged ≥ 18 years with a diagnosis of cirrhosis and prescribed any of the following oral anticoagulants: apixaban, dabigatran, edoxaban, rivaroxaban, or warfarin. Patients prescribed apixaban, dabigatran, edoxaban, or rivaroxaban were collectively grouped into the DOAC group, while patients prescribed warfarin were classified as the standard of care comparator group.

 

 

A diagnosis of cirrhosis was confirmed using a combination of the codes from the ninth and tenth editions of the International Classification of Diseases (ICD) for cirrhosis, documentation of diagnostic confirmation by clinicians from the gastroenterology or hepatology services, and positive liver biopsy result. Liver function tests, liver ultrasound results, and FibroSure biomarker assays were used to aid in confirming the diagnosis of cirrhosis but were not considered definitive. Patients were excluded from the trial if they had indications for anticoagulation other than NVAF and VTE and/or were prescribed triple antithrombotic therapy (dual antiplatelet therapy plus an anticoagulant). Patients who switched anticoagulant therapy during the trial period (ie, switched from warfarin to a DOAC) were also excluded from the analysis.

Patient demographic characteristics that were collected included weight; body mass index (BMI); etiology of cirrhosis; Child-Turcotte-Pugh, Model for End-Stage Liver Disease (MELD), and CHA2DS2-VASc score; concomitant antiplatelet, nonsteroidal anti-inflammatory drug (NSAID), proton pump inhibitor (PPI), and histamine-2 receptor antagonist (H2RA) medications; presence of gastric and/or esophageal varices; active malignancies; albumin, total bilirubin, serum creatinine, INR, and platelet laboratory values; and indication and duration of anticoagulation therapy.

Two patient lists were used to identify patients for inclusion in the warfarin arm. The first patient list was generated using the US Department of Veterans Affairs (VA) Cirrhosis Tracker, which identified patients with an ICD-9/10 code for cirrhosis and an INR laboratory value. Patients generated from the VA Cirrhosis Tracker with an INR > 1.5 were screened for a warfarin prescription and then evaluated for full study inclusion. The second patient list was generated using the VA Advanced Liver Disease Dashboard which identified patients with ICD-9/10 codes for advanced liver disease and an active warfarin prescription. Patients with an active warfarin prescription were then evaluated for full study inclusion. A single patient list was generated to identify patients for inclusion in the DOAC arm. This patient list was generated using the VA DOAC dashboard, which identified patients with an active DOAC prescription and an ICD-9/10 code for cirrhosis. Patients with an ICD-9/10 code for cirrhosis and prescribed a DOAC were screened for full study inclusion. Patient data were collected from the MEDVAMC Computerized Patient Record System (CPRS) electronic health record (EHR). The research study was approved by the Baylor College of Medicine Institutional Review Board and the VA Office of Research and Development.

Outcomes

The primary endpoint for the study was all-cause bleeding. The secondary endpoints for the study were major bleeding and failed efficacy. Major bleeding was defined using the International Society on Thrombosis and Haemostasis (ISTH) 2005 definition: fatal bleeding, symptomatic bleeding in a critical organ area (ie, intracranial, intraspinal, intraocular, retroperitoneal, intraarticular, pericardial, or intramuscular with compartment syndrome), or bleeding causing a fall in hemoglobin level of > 2 g/dL or leading to the transfusion of ≥ 2 units of red cells.6 Failed efficacy was a combination endpoint that included development of VTE, stroke, myocardial infarction (MI), and/or death. A prespecified subgroup analysis was conducted at the end of the study period to analyze trends in the DOAC and warfarin groups with respect to all-cause bleeding. All-cause bleeding risk was stratified by weight, BMI, Child-Turcotte-Pugh score, MELD score, presence of gastric and/or esophageal varices, active malignancies, percentage of time within therapeutic INR range in the warfarin group, indications for anticoagulation, and antiplatelet, NSAID, PPI, and H2RA therapy.

 

 

Statistical Analysis

Data were analyzed using descriptive and inferential statistics. Continuous data were analyzed using the Student t test, and categorical data were analyzed using the Fisher exact test. Previous studies determined an all-cause bleeding rate of 10 to 17% for warfarin compared with 5% for DOACs.7,8 To detect a 12% difference in the all-cause bleeding rate between DOACs and warfarin, 212 patients would be needed to achieve 80% power at an α level of 0.05.

Results

A total of 170 patients were screened, and after applying inclusion and exclusion criteria, 79 patients were enrolled in the study (Figure). The DOAC group included 42 patients, and the warfarin group included 37 patients. In the DOAC group, 69.1% (n = 29) of patients were taking apixaban, 21.4% (n = 9) rivaroxaban, and 9.5% (n = 4) dabigatran. There were no patients prescribed edoxaban during the study period.

Baseline characteristics were similar between the 2 groups except for Child-Turcotte-Pugh score, MELD score, mean INR, and number of days on anticoagulation therapy (Table 1). Most of the patients were male (98.7%), and the mean age was 71 years. The most common causes of cirrhosis were viral (29.1%), nonalcoholic fatty liver disease (NAFLD) (24.1%), multiple causes (22.8%), and alcohol (21.5%). Sixty-two patients (78.5%) had a NVAF indication for anticoagulation. The average CHA2DS2-VASc score was 3.7. Aspirin was prescribed in 51.9% (n = 41) of patients, and PPIs were prescribed in 48.1% (n = 38) of patients. At inclusion, esophageal varices were present in 13 patients and active malignancies were present in 6 patients.



Statistically significant differences in baseline characteristics were found between mean INR, Child-Turcotte-Pugh scores, MELD scores, and number of days on anticoagulant therapy. The mean INR was 1.3 in the DOAC group compared with 2.1 in the warfarin group (P = .0001). Eighty-one percent (n = 34) of patients in the DOAC group had a Child-Turcotte-Pugh score of A compared with 43.2% (n = 16) of patients in the warfarin group (P = .0009). Eight patients in the DOAC group had a Child-Turcotte-Pugh score of B compared with 19 patients in the warfarin group (P = .004). The mean MELD score was 9.4 in the DOAC group compared with 16.3 in the warfarin group (P = .0001). The mean days on anticoagulant therapy was 500.4 days for the DOAC group compared with 1,652.4 days for the warfarin group (P = .0001).

Safety Outcome

The primary outcome comparing all-cause bleeding rates between patients on DOACs compared with warfarin are listed in Table 2. With respect to the primary outcome, 7 (16.7%) patients on DOACs experienced a bleeding event compared with 8 (21.6%) patients on warfarin (P = .77). No statistically significant differences were detected between the DOAC and warfarin groups with respect to all-cause bleeding. Seven bleeding events occurred in the DOAC group; 1 met the qualification for major bleeding with a suspected gastrointestinal (GI) bleed.6 The other 6 bleeding episodes in the DOAC group consisted of hematoma, epistaxis, hematuria, and hematochezia. Eight bleeding events occurred in the warfarin group; 2 met the qualification for major bleeding with an intracranial hemorrhage and upper GI bleed.6 The other 6 bleeding episodes in the warfarin group consisted of epistaxis, bleeding gums, hematuria, and hematochezia. There were no statistically significant differences between the rates of major bleeding and nonmajor bleeding between the DOAC and warfarin groups.

 

 

Efficacy Outcomes

There were 3 events in the DOAC group and 3 events in the warfarin group (P = .99). In the DOAC group, 2 patients experienced a pulmonary embolism, and 1 patient experienced a MI. In the warfarin group, 3 patients died (end-stage heart failure, unknown cause due to death at an outside hospital, and sepsis/organ failure). There were no statistically significant differences between the composite endpoint of failed efficacy or the individual endpoints of VTE, stroke, MI, and death.

Subgroup Analysis

A prespecified subgroup analysis was conducted to determine risk factors for all-cause bleeding within each treatment group (Table 3). No significant trends were observed in the following risk factors: Child-Turcotte-Pugh score, indication for anticoagulation, use of NSAIDs, PPIs or H2RAs, presence of gastric or esophageal varices, active malignancies, and time within therapeutic INR range in the warfarin group. Patients with bleeding events had slightly increased weight and BMI vs patients without bleeding events. Within the warfarin group, patients with bleeding events had slightly elevated MELD scores compared to patients without bleeding events. There was an equal balance of patients prescribed aspirin therapy between the groups with and without bleeding events. Overall, no significant risk factors were identified for all-cause bleeding.

Discussion

Initially, patients with cirrhosis were excluded from DOAC trials due to concerns for increased bleeding risk with hepatically eliminated medications. New retrospective research has concluded that in patients with cirrhosis, DOACs have similar or lower bleeding rates when compared directly to warfarin.9,10

In this study, no statistically significant differences were detected between the primary and secondary outcomes of all-cause bleeding, major bleeding, or failed efficacy. Subgroup analysis did not identify any significant risk factors with respect to all-cause bleeding among patients in the DOAC and warfarin groups. To meet 80% power, 212 patients needed to be enrolled in the study; however, only 79 patients were enrolled, and power was not met. The results of this study should be interpreted cautiously as hypothesis-generating due to the small sample size. Strengths of this study include similar baseline characteristics between the DOAC and warfarin groups, 4-year length of retrospective data review, and availability of both inpatient and outpatient EHR limiting the amount of missing data points.

Baseline characteristics were similar between the groups except for mean INR, Child-Turcotte-Pugh score, MELD score, and number of days on anticoagulation therapy. The difference in mean INR between groups is expected as patients in the warfarin group have a goal INR of 2 to 3 to maintain therapeutic efficacy and safety. INR is not used as a marker of efficacy or safety with DOACs; therefore, a consistent elevation in INR is not expected. Child- Turcotte-Pugh scores are calculated using INR levels.11 When calculating the score, patients with an INR < 1.7 receive 1 point; patients with an INR between 1.7 and 2.3 receive 2 points.11 Therefore, patients in the warfarin group will have artificially inflated Child-Turcotte-Pugh scores as this group has goal INR levels of 2 to 3. This makes Child-Turcotte-Pugh scores unreliable markers of disease severity in patients using warfarin therapy. When the INR scores for patients prescribed warfarin were replaced with values < 1.7, the statistical difference disappeared between the warfarin and DOAC groups. The same effect is seen on MELD scores for patients prescribed warfarin therapy. The MELD score is calculated using INR levels.12 MELD scores also will be artificially elevated in patients prescribed warfarin therapy due to the INR elevation to between 2 and 3. When MELD scores for patients prescribed warfarin were replaced with values similar to those in the DOAC group, the statistical difference disappeared between the warfarin and DOAC groups.

The last statistically significant difference was found in number of days on anticoagulant therapy. This difference was expected as warfarin is the standard of care for anticoagulation treatment in patients with cirrhosis. The first DOAC, dabigatran, was not approved by the US Food and Drug Administration until 2010.13 DOACs have only recently been used in patients with cirrhosis accounting for the statistically significant difference in days on anticoagulation therapy between the warfarin and DOAC groups.

 

 

Limitations

The inability to meet power or evaluate adherence and appropriate renal dose adjustments for DOACs limited this study. This study was conducted at a single center in a predominantly male veteran population and therefore may not be generalizable to other populations. A majority of patients in the DOAC group were prescribed apixaban (69.1%), which may have affected the overall rate of major bleeding in the DOAC group. Pivotal trials of apixaban have shown a consistent decreased risk of major bleeding in patients with NVAF or VTE when compared with warfarin.14,15 Therefore, the results of this study may not be generalizable to all DOACs.

An inherent limitation of this study was the inability to collect data verifying adherence in the DOAC group. However, in the warfarin group, percentage of time within the therapeutic INR range of 2 to 3 was collected. While not a direct marker of adherence, this does allow for limited evaluation of therapeutic efficacy and safety within the warfarin group. Last, proper dosing of DOACs in patients with and without adequate renal function was not evaluated in this study.

Conclusions

The results of this study are consistent with other retrospective research and literature reviews. There were no statistically significant differences identified between the rates of all-cause bleeding, major bleeding, and failed efficacy between the DOAC and warfarin groups. DOACs may be a safe alternative to warfarin in patients with cirrhosis requiring anticoagulation for NVAF or VTE, but large randomized trials are required to confirm these results.

References

1. Qamar A, Vaduganathan M, Greenberger NJ, Giugliano RP. Oral anticoagulation in patients with liver disease. J Am Coll Cardiol. 2018;71(19):2162-2175. doi:10.1016/j.jacc.2018.03.023

2. Priyanka P, Kupec JT, Krafft M, Shah NA, Reynolds GJ. Newer oral anticoagulants in the treatment of acute portal vein thrombosis in patients with and without cirrhosis. Int J Hepatol. 2018;2018:8432781. Published 2018 Jun 5. doi:10.1155/2018/8432781

3. Intagliata NM, Henry ZH, Maitland H, et al. Direct oral anticoagulants in cirrhosis patients pose similar risks of bleeding when compared to traditional anticoagulation. Dig Dis Sci. 2016;61(6):1721-1727. doi:10.1007/s10620-015-4012-2

4. Hum J, Shatzel JJ, Jou JH, Deloughery TG. The efficacy and safety of direct oral anticoagulants vs traditional anticoagulants in cirrhosis. Eur J Haematol. 2017;98(4):393-397. doi:10.1111/ejh.12844

5. Goriacko P, Veltri KT. Safety of direct oral anticoagulants vs warfarin in patients with chronic liver disease and atrial fibrillation. Eur J Haematol. 2018;100(5):488-493. doi:10.1111/ejh.13045

6. Schulman S, Kearon C; Subcommittee on Control of Anticoagulation of the Scientific and Standardization Committee of the International Society on Thrombosis and Haemostasis. Definition of major bleeding in clinical investigations of antihemostatic medicinal products in non-surgical patients. J Thromb Haemost. 2005;3(4):692-694. doi:10.1111/j.1538-7836.2005.01204.x

7. Rubboli A, Becattini C, Verheugt FW. Incidence, clinical impact and risk of bleeding during oral anticoagulation therapy. World J Cardiol. 2011;3(11):351-358. doi:10.4330/wjc.v3.i11.351

8. Ruff CT, Giugliano RP, Braunwald E, et al. Comparison of the efficacy and safety of new oral anticoagulants with warfarin in patients with atrial fibrillation: a meta-analysis of randomised trials. Lancet. 2014;383(9921):955-962. doi:10.1016/S0140-6736(13)62343-0

9. Hoolwerf EW, Kraaijpoel N, Büller HR, van Es N. Direct oral anticoagulants in patients with liver cirrhosis: A systematic review. Thromb Res. 2018;170:102-108. doi:10.1016/j.thromres.2018.08.011

10. Steuber TD, Howard ML, Nisly SA. Direct oral anticoagulants in chronic liver disease. Ann Pharmacother. 2019;53(10):1042-1049. doi:10.1177/1060028019841582

11. Janevska D, Chaloska-Ivanova V, Janevski V. Hepatocellular carcinoma: risk factors, diagnosis and treatment. Open Access Maced J Med Sci. 2015;3(4):732-736. doi:10.3889/oamjms.2015.111

12. Singal AK, Kamath PS. Model for End-Stage Liver Disease. J Clin Exp Hepatol. 2013;3(1):50-60. doi:10.1016/j.jceh.2012.11.002

13. Joppa SA, Salciccioli J, Adamski J, et al. A practical review of the emerging direct anticoagulants, laboratory monitoring, and reversal agents. J Clin Med. 2018;7(2):29. Published 2018 Feb 11. doi:10.3390/jcm7020029

14. Granger CB, Alexander JH, McMurray JJ, et al. Apixaban versus warfarin in patients with atrial fibrillation. N Engl J Med. 2011;365(11):981-992. doi:10.1056/NEJMoa1107039

15. Agnelli G, Buller HR, Cohen A, et al. Oral apixaban for the treatment of acute venous thromboembolism. N Engl J Med. 2013;369(9):799-808. doi:10.1056/NEJMoa1302507

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Kaitlyn Jones is a Clinical Pharmacy Specialist in Primary Care at the University of Kansas Health System in Kansas City, Kansas. Caroline Pham, Shaila Sheth, and Christine Aguilar are Clinical Pharmacy Specialists in Internal Medicine at the Michael E. DeBakey Veterans Affairs Medical Center in Houston, Texas. Caroline Pham, Christine Aguilar, and Shaila Sheth are Clinical Instructors at the Baylor College of Medicine in Houston.
 Correspondence: Kaitlyn Jones ([email protected])

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The authors report no actual or potential conflicts of interest with regard to this article.

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The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Kaitlyn Jones is a Clinical Pharmacy Specialist in Primary Care at the University of Kansas Health System in Kansas City, Kansas. Caroline Pham, Shaila Sheth, and Christine Aguilar are Clinical Pharmacy Specialists in Internal Medicine at the Michael E. DeBakey Veterans Affairs Medical Center in Houston, Texas. Caroline Pham, Christine Aguilar, and Shaila Sheth are Clinical Instructors at the Baylor College of Medicine in Houston.
 Correspondence: Kaitlyn Jones ([email protected])

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The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Author and Disclosure Information

Kaitlyn Jones is a Clinical Pharmacy Specialist in Primary Care at the University of Kansas Health System in Kansas City, Kansas. Caroline Pham, Shaila Sheth, and Christine Aguilar are Clinical Pharmacy Specialists in Internal Medicine at the Michael E. DeBakey Veterans Affairs Medical Center in Houston, Texas. Caroline Pham, Christine Aguilar, and Shaila Sheth are Clinical Instructors at the Baylor College of Medicine in Houston.
 Correspondence: Kaitlyn Jones ([email protected])

Author disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Related Articles

Coagulation in patients with cirrhosis is a complicated area of evolving research. Patients with cirrhosis were originally thought to be naturally anticoagulated due to the decreased production of clotting factors and platelets, combined with an increased international normalized ratio (INR).1 New data have shown that patients with cirrhosis are at a concomitant risk of bleeding and thrombosis due to increased platelet aggregation, decreased fibrinolysis, and decreased production of natural anticoagulants such as protein C and antithrombin.1 Traditionally, patients with cirrhosis needing anticoagulation therapy for comorbid conditions, such as nonvalvular atrial fibrillation (NVAF) or venous thromboembolism (VTE) were placed on warfarin therapy. Managing warfarin in patients with cirrhosis poses a challenge to clinicians due to the many food and drug interactions, narrow therapeutic index, and complications with maintaining a therapeutic INR.1

Direct oral anticoagulants (DOACs) have several benefits over warfarin therapy, including convenience, decreased monitoring, decreased drug and dietary restrictions, and faster onset of action.2 Conversely, DOACs undergo extensive hepatic metabolism giving rise to concerns about supratherapeutic drug levels and increased bleeding rates in patients with liver dysfunction.1 Consequently, patients with cirrhosis were excluded from the pivotal trials establishing DOACs for NVAF and VTE treatment. Exclusion of these patients in major clinical trials alongside the challenges of managing warfarin warrant an evaluation of the efficacy and safety of DOACs in patients with cirrhosis.

Recent retrospective studies have examined the use of DOACs in patients with cirrhosis and found favorable results. A retrospective chart review by Intagliata and colleagues consisting of 39 patients with cirrhosis using either a DOAC or warfarin found similar rates of all-cause bleeding and major bleeding between the 2 groups.3 A retrospective cohort study by Hum and colleagues consisting of 45 patients with cirrhosis compared the use of DOACs with warfarin or low-molecular weight heparin (LMWH).4 Hum and colleagues found patients prescribed a DOAC had significantly fewer major bleeding events than did patients using warfarin or LMWH.4 The largest retrospective cohort study consisted of 233 patients with chronic liver disease and found no differences among all-cause bleeding and major bleeding rates between patients using DOACs compared with those of patients using warfarin.5

The purpose of this research is to evaluate the safety and efficacy of DOACs in veteran patients with cirrhosis compared with patients using warfarin.

Methods

A retrospective single-center chart review was conducted at the Michael E. DeBakey Veterans Affairs Medical Center (MEDVAMC) in Houston, Texas, between October 31, 2014 and October 31, 2018. Patients included in the study were adults aged ≥ 18 years with a diagnosis of cirrhosis and prescribed any of the following oral anticoagulants: apixaban, dabigatran, edoxaban, rivaroxaban, or warfarin. Patients prescribed apixaban, dabigatran, edoxaban, or rivaroxaban were collectively grouped into the DOAC group, while patients prescribed warfarin were classified as the standard of care comparator group.

 

 

A diagnosis of cirrhosis was confirmed using a combination of the codes from the ninth and tenth editions of the International Classification of Diseases (ICD) for cirrhosis, documentation of diagnostic confirmation by clinicians from the gastroenterology or hepatology services, and positive liver biopsy result. Liver function tests, liver ultrasound results, and FibroSure biomarker assays were used to aid in confirming the diagnosis of cirrhosis but were not considered definitive. Patients were excluded from the trial if they had indications for anticoagulation other than NVAF and VTE and/or were prescribed triple antithrombotic therapy (dual antiplatelet therapy plus an anticoagulant). Patients who switched anticoagulant therapy during the trial period (ie, switched from warfarin to a DOAC) were also excluded from the analysis.

Patient demographic characteristics that were collected included weight; body mass index (BMI); etiology of cirrhosis; Child-Turcotte-Pugh, Model for End-Stage Liver Disease (MELD), and CHA2DS2-VASc score; concomitant antiplatelet, nonsteroidal anti-inflammatory drug (NSAID), proton pump inhibitor (PPI), and histamine-2 receptor antagonist (H2RA) medications; presence of gastric and/or esophageal varices; active malignancies; albumin, total bilirubin, serum creatinine, INR, and platelet laboratory values; and indication and duration of anticoagulation therapy.

Two patient lists were used to identify patients for inclusion in the warfarin arm. The first patient list was generated using the US Department of Veterans Affairs (VA) Cirrhosis Tracker, which identified patients with an ICD-9/10 code for cirrhosis and an INR laboratory value. Patients generated from the VA Cirrhosis Tracker with an INR > 1.5 were screened for a warfarin prescription and then evaluated for full study inclusion. The second patient list was generated using the VA Advanced Liver Disease Dashboard which identified patients with ICD-9/10 codes for advanced liver disease and an active warfarin prescription. Patients with an active warfarin prescription were then evaluated for full study inclusion. A single patient list was generated to identify patients for inclusion in the DOAC arm. This patient list was generated using the VA DOAC dashboard, which identified patients with an active DOAC prescription and an ICD-9/10 code for cirrhosis. Patients with an ICD-9/10 code for cirrhosis and prescribed a DOAC were screened for full study inclusion. Patient data were collected from the MEDVAMC Computerized Patient Record System (CPRS) electronic health record (EHR). The research study was approved by the Baylor College of Medicine Institutional Review Board and the VA Office of Research and Development.

Outcomes

The primary endpoint for the study was all-cause bleeding. The secondary endpoints for the study were major bleeding and failed efficacy. Major bleeding was defined using the International Society on Thrombosis and Haemostasis (ISTH) 2005 definition: fatal bleeding, symptomatic bleeding in a critical organ area (ie, intracranial, intraspinal, intraocular, retroperitoneal, intraarticular, pericardial, or intramuscular with compartment syndrome), or bleeding causing a fall in hemoglobin level of > 2 g/dL or leading to the transfusion of ≥ 2 units of red cells.6 Failed efficacy was a combination endpoint that included development of VTE, stroke, myocardial infarction (MI), and/or death. A prespecified subgroup analysis was conducted at the end of the study period to analyze trends in the DOAC and warfarin groups with respect to all-cause bleeding. All-cause bleeding risk was stratified by weight, BMI, Child-Turcotte-Pugh score, MELD score, presence of gastric and/or esophageal varices, active malignancies, percentage of time within therapeutic INR range in the warfarin group, indications for anticoagulation, and antiplatelet, NSAID, PPI, and H2RA therapy.

 

 

Statistical Analysis

Data were analyzed using descriptive and inferential statistics. Continuous data were analyzed using the Student t test, and categorical data were analyzed using the Fisher exact test. Previous studies determined an all-cause bleeding rate of 10 to 17% for warfarin compared with 5% for DOACs.7,8 To detect a 12% difference in the all-cause bleeding rate between DOACs and warfarin, 212 patients would be needed to achieve 80% power at an α level of 0.05.

Results

A total of 170 patients were screened, and after applying inclusion and exclusion criteria, 79 patients were enrolled in the study (Figure). The DOAC group included 42 patients, and the warfarin group included 37 patients. In the DOAC group, 69.1% (n = 29) of patients were taking apixaban, 21.4% (n = 9) rivaroxaban, and 9.5% (n = 4) dabigatran. There were no patients prescribed edoxaban during the study period.

Baseline characteristics were similar between the 2 groups except for Child-Turcotte-Pugh score, MELD score, mean INR, and number of days on anticoagulation therapy (Table 1). Most of the patients were male (98.7%), and the mean age was 71 years. The most common causes of cirrhosis were viral (29.1%), nonalcoholic fatty liver disease (NAFLD) (24.1%), multiple causes (22.8%), and alcohol (21.5%). Sixty-two patients (78.5%) had a NVAF indication for anticoagulation. The average CHA2DS2-VASc score was 3.7. Aspirin was prescribed in 51.9% (n = 41) of patients, and PPIs were prescribed in 48.1% (n = 38) of patients. At inclusion, esophageal varices were present in 13 patients and active malignancies were present in 6 patients.



Statistically significant differences in baseline characteristics were found between mean INR, Child-Turcotte-Pugh scores, MELD scores, and number of days on anticoagulant therapy. The mean INR was 1.3 in the DOAC group compared with 2.1 in the warfarin group (P = .0001). Eighty-one percent (n = 34) of patients in the DOAC group had a Child-Turcotte-Pugh score of A compared with 43.2% (n = 16) of patients in the warfarin group (P = .0009). Eight patients in the DOAC group had a Child-Turcotte-Pugh score of B compared with 19 patients in the warfarin group (P = .004). The mean MELD score was 9.4 in the DOAC group compared with 16.3 in the warfarin group (P = .0001). The mean days on anticoagulant therapy was 500.4 days for the DOAC group compared with 1,652.4 days for the warfarin group (P = .0001).

Safety Outcome

The primary outcome comparing all-cause bleeding rates between patients on DOACs compared with warfarin are listed in Table 2. With respect to the primary outcome, 7 (16.7%) patients on DOACs experienced a bleeding event compared with 8 (21.6%) patients on warfarin (P = .77). No statistically significant differences were detected between the DOAC and warfarin groups with respect to all-cause bleeding. Seven bleeding events occurred in the DOAC group; 1 met the qualification for major bleeding with a suspected gastrointestinal (GI) bleed.6 The other 6 bleeding episodes in the DOAC group consisted of hematoma, epistaxis, hematuria, and hematochezia. Eight bleeding events occurred in the warfarin group; 2 met the qualification for major bleeding with an intracranial hemorrhage and upper GI bleed.6 The other 6 bleeding episodes in the warfarin group consisted of epistaxis, bleeding gums, hematuria, and hematochezia. There were no statistically significant differences between the rates of major bleeding and nonmajor bleeding between the DOAC and warfarin groups.

 

 

Efficacy Outcomes

There were 3 events in the DOAC group and 3 events in the warfarin group (P = .99). In the DOAC group, 2 patients experienced a pulmonary embolism, and 1 patient experienced a MI. In the warfarin group, 3 patients died (end-stage heart failure, unknown cause due to death at an outside hospital, and sepsis/organ failure). There were no statistically significant differences between the composite endpoint of failed efficacy or the individual endpoints of VTE, stroke, MI, and death.

Subgroup Analysis

A prespecified subgroup analysis was conducted to determine risk factors for all-cause bleeding within each treatment group (Table 3). No significant trends were observed in the following risk factors: Child-Turcotte-Pugh score, indication for anticoagulation, use of NSAIDs, PPIs or H2RAs, presence of gastric or esophageal varices, active malignancies, and time within therapeutic INR range in the warfarin group. Patients with bleeding events had slightly increased weight and BMI vs patients without bleeding events. Within the warfarin group, patients with bleeding events had slightly elevated MELD scores compared to patients without bleeding events. There was an equal balance of patients prescribed aspirin therapy between the groups with and without bleeding events. Overall, no significant risk factors were identified for all-cause bleeding.

Discussion

Initially, patients with cirrhosis were excluded from DOAC trials due to concerns for increased bleeding risk with hepatically eliminated medications. New retrospective research has concluded that in patients with cirrhosis, DOACs have similar or lower bleeding rates when compared directly to warfarin.9,10

In this study, no statistically significant differences were detected between the primary and secondary outcomes of all-cause bleeding, major bleeding, or failed efficacy. Subgroup analysis did not identify any significant risk factors with respect to all-cause bleeding among patients in the DOAC and warfarin groups. To meet 80% power, 212 patients needed to be enrolled in the study; however, only 79 patients were enrolled, and power was not met. The results of this study should be interpreted cautiously as hypothesis-generating due to the small sample size. Strengths of this study include similar baseline characteristics between the DOAC and warfarin groups, 4-year length of retrospective data review, and availability of both inpatient and outpatient EHR limiting the amount of missing data points.

Baseline characteristics were similar between the groups except for mean INR, Child-Turcotte-Pugh score, MELD score, and number of days on anticoagulation therapy. The difference in mean INR between groups is expected as patients in the warfarin group have a goal INR of 2 to 3 to maintain therapeutic efficacy and safety. INR is not used as a marker of efficacy or safety with DOACs; therefore, a consistent elevation in INR is not expected. Child- Turcotte-Pugh scores are calculated using INR levels.11 When calculating the score, patients with an INR < 1.7 receive 1 point; patients with an INR between 1.7 and 2.3 receive 2 points.11 Therefore, patients in the warfarin group will have artificially inflated Child-Turcotte-Pugh scores as this group has goal INR levels of 2 to 3. This makes Child-Turcotte-Pugh scores unreliable markers of disease severity in patients using warfarin therapy. When the INR scores for patients prescribed warfarin were replaced with values < 1.7, the statistical difference disappeared between the warfarin and DOAC groups. The same effect is seen on MELD scores for patients prescribed warfarin therapy. The MELD score is calculated using INR levels.12 MELD scores also will be artificially elevated in patients prescribed warfarin therapy due to the INR elevation to between 2 and 3. When MELD scores for patients prescribed warfarin were replaced with values similar to those in the DOAC group, the statistical difference disappeared between the warfarin and DOAC groups.

The last statistically significant difference was found in number of days on anticoagulant therapy. This difference was expected as warfarin is the standard of care for anticoagulation treatment in patients with cirrhosis. The first DOAC, dabigatran, was not approved by the US Food and Drug Administration until 2010.13 DOACs have only recently been used in patients with cirrhosis accounting for the statistically significant difference in days on anticoagulation therapy between the warfarin and DOAC groups.

 

 

Limitations

The inability to meet power or evaluate adherence and appropriate renal dose adjustments for DOACs limited this study. This study was conducted at a single center in a predominantly male veteran population and therefore may not be generalizable to other populations. A majority of patients in the DOAC group were prescribed apixaban (69.1%), which may have affected the overall rate of major bleeding in the DOAC group. Pivotal trials of apixaban have shown a consistent decreased risk of major bleeding in patients with NVAF or VTE when compared with warfarin.14,15 Therefore, the results of this study may not be generalizable to all DOACs.

An inherent limitation of this study was the inability to collect data verifying adherence in the DOAC group. However, in the warfarin group, percentage of time within the therapeutic INR range of 2 to 3 was collected. While not a direct marker of adherence, this does allow for limited evaluation of therapeutic efficacy and safety within the warfarin group. Last, proper dosing of DOACs in patients with and without adequate renal function was not evaluated in this study.

Conclusions

The results of this study are consistent with other retrospective research and literature reviews. There were no statistically significant differences identified between the rates of all-cause bleeding, major bleeding, and failed efficacy between the DOAC and warfarin groups. DOACs may be a safe alternative to warfarin in patients with cirrhosis requiring anticoagulation for NVAF or VTE, but large randomized trials are required to confirm these results.

Coagulation in patients with cirrhosis is a complicated area of evolving research. Patients with cirrhosis were originally thought to be naturally anticoagulated due to the decreased production of clotting factors and platelets, combined with an increased international normalized ratio (INR).1 New data have shown that patients with cirrhosis are at a concomitant risk of bleeding and thrombosis due to increased platelet aggregation, decreased fibrinolysis, and decreased production of natural anticoagulants such as protein C and antithrombin.1 Traditionally, patients with cirrhosis needing anticoagulation therapy for comorbid conditions, such as nonvalvular atrial fibrillation (NVAF) or venous thromboembolism (VTE) were placed on warfarin therapy. Managing warfarin in patients with cirrhosis poses a challenge to clinicians due to the many food and drug interactions, narrow therapeutic index, and complications with maintaining a therapeutic INR.1

Direct oral anticoagulants (DOACs) have several benefits over warfarin therapy, including convenience, decreased monitoring, decreased drug and dietary restrictions, and faster onset of action.2 Conversely, DOACs undergo extensive hepatic metabolism giving rise to concerns about supratherapeutic drug levels and increased bleeding rates in patients with liver dysfunction.1 Consequently, patients with cirrhosis were excluded from the pivotal trials establishing DOACs for NVAF and VTE treatment. Exclusion of these patients in major clinical trials alongside the challenges of managing warfarin warrant an evaluation of the efficacy and safety of DOACs in patients with cirrhosis.

Recent retrospective studies have examined the use of DOACs in patients with cirrhosis and found favorable results. A retrospective chart review by Intagliata and colleagues consisting of 39 patients with cirrhosis using either a DOAC or warfarin found similar rates of all-cause bleeding and major bleeding between the 2 groups.3 A retrospective cohort study by Hum and colleagues consisting of 45 patients with cirrhosis compared the use of DOACs with warfarin or low-molecular weight heparin (LMWH).4 Hum and colleagues found patients prescribed a DOAC had significantly fewer major bleeding events than did patients using warfarin or LMWH.4 The largest retrospective cohort study consisted of 233 patients with chronic liver disease and found no differences among all-cause bleeding and major bleeding rates between patients using DOACs compared with those of patients using warfarin.5

The purpose of this research is to evaluate the safety and efficacy of DOACs in veteran patients with cirrhosis compared with patients using warfarin.

Methods

A retrospective single-center chart review was conducted at the Michael E. DeBakey Veterans Affairs Medical Center (MEDVAMC) in Houston, Texas, between October 31, 2014 and October 31, 2018. Patients included in the study were adults aged ≥ 18 years with a diagnosis of cirrhosis and prescribed any of the following oral anticoagulants: apixaban, dabigatran, edoxaban, rivaroxaban, or warfarin. Patients prescribed apixaban, dabigatran, edoxaban, or rivaroxaban were collectively grouped into the DOAC group, while patients prescribed warfarin were classified as the standard of care comparator group.

 

 

A diagnosis of cirrhosis was confirmed using a combination of the codes from the ninth and tenth editions of the International Classification of Diseases (ICD) for cirrhosis, documentation of diagnostic confirmation by clinicians from the gastroenterology or hepatology services, and positive liver biopsy result. Liver function tests, liver ultrasound results, and FibroSure biomarker assays were used to aid in confirming the diagnosis of cirrhosis but were not considered definitive. Patients were excluded from the trial if they had indications for anticoagulation other than NVAF and VTE and/or were prescribed triple antithrombotic therapy (dual antiplatelet therapy plus an anticoagulant). Patients who switched anticoagulant therapy during the trial period (ie, switched from warfarin to a DOAC) were also excluded from the analysis.

Patient demographic characteristics that were collected included weight; body mass index (BMI); etiology of cirrhosis; Child-Turcotte-Pugh, Model for End-Stage Liver Disease (MELD), and CHA2DS2-VASc score; concomitant antiplatelet, nonsteroidal anti-inflammatory drug (NSAID), proton pump inhibitor (PPI), and histamine-2 receptor antagonist (H2RA) medications; presence of gastric and/or esophageal varices; active malignancies; albumin, total bilirubin, serum creatinine, INR, and platelet laboratory values; and indication and duration of anticoagulation therapy.

Two patient lists were used to identify patients for inclusion in the warfarin arm. The first patient list was generated using the US Department of Veterans Affairs (VA) Cirrhosis Tracker, which identified patients with an ICD-9/10 code for cirrhosis and an INR laboratory value. Patients generated from the VA Cirrhosis Tracker with an INR > 1.5 were screened for a warfarin prescription and then evaluated for full study inclusion. The second patient list was generated using the VA Advanced Liver Disease Dashboard which identified patients with ICD-9/10 codes for advanced liver disease and an active warfarin prescription. Patients with an active warfarin prescription were then evaluated for full study inclusion. A single patient list was generated to identify patients for inclusion in the DOAC arm. This patient list was generated using the VA DOAC dashboard, which identified patients with an active DOAC prescription and an ICD-9/10 code for cirrhosis. Patients with an ICD-9/10 code for cirrhosis and prescribed a DOAC were screened for full study inclusion. Patient data were collected from the MEDVAMC Computerized Patient Record System (CPRS) electronic health record (EHR). The research study was approved by the Baylor College of Medicine Institutional Review Board and the VA Office of Research and Development.

Outcomes

The primary endpoint for the study was all-cause bleeding. The secondary endpoints for the study were major bleeding and failed efficacy. Major bleeding was defined using the International Society on Thrombosis and Haemostasis (ISTH) 2005 definition: fatal bleeding, symptomatic bleeding in a critical organ area (ie, intracranial, intraspinal, intraocular, retroperitoneal, intraarticular, pericardial, or intramuscular with compartment syndrome), or bleeding causing a fall in hemoglobin level of > 2 g/dL or leading to the transfusion of ≥ 2 units of red cells.6 Failed efficacy was a combination endpoint that included development of VTE, stroke, myocardial infarction (MI), and/or death. A prespecified subgroup analysis was conducted at the end of the study period to analyze trends in the DOAC and warfarin groups with respect to all-cause bleeding. All-cause bleeding risk was stratified by weight, BMI, Child-Turcotte-Pugh score, MELD score, presence of gastric and/or esophageal varices, active malignancies, percentage of time within therapeutic INR range in the warfarin group, indications for anticoagulation, and antiplatelet, NSAID, PPI, and H2RA therapy.

 

 

Statistical Analysis

Data were analyzed using descriptive and inferential statistics. Continuous data were analyzed using the Student t test, and categorical data were analyzed using the Fisher exact test. Previous studies determined an all-cause bleeding rate of 10 to 17% for warfarin compared with 5% for DOACs.7,8 To detect a 12% difference in the all-cause bleeding rate between DOACs and warfarin, 212 patients would be needed to achieve 80% power at an α level of 0.05.

Results

A total of 170 patients were screened, and after applying inclusion and exclusion criteria, 79 patients were enrolled in the study (Figure). The DOAC group included 42 patients, and the warfarin group included 37 patients. In the DOAC group, 69.1% (n = 29) of patients were taking apixaban, 21.4% (n = 9) rivaroxaban, and 9.5% (n = 4) dabigatran. There were no patients prescribed edoxaban during the study period.

Baseline characteristics were similar between the 2 groups except for Child-Turcotte-Pugh score, MELD score, mean INR, and number of days on anticoagulation therapy (Table 1). Most of the patients were male (98.7%), and the mean age was 71 years. The most common causes of cirrhosis were viral (29.1%), nonalcoholic fatty liver disease (NAFLD) (24.1%), multiple causes (22.8%), and alcohol (21.5%). Sixty-two patients (78.5%) had a NVAF indication for anticoagulation. The average CHA2DS2-VASc score was 3.7. Aspirin was prescribed in 51.9% (n = 41) of patients, and PPIs were prescribed in 48.1% (n = 38) of patients. At inclusion, esophageal varices were present in 13 patients and active malignancies were present in 6 patients.



Statistically significant differences in baseline characteristics were found between mean INR, Child-Turcotte-Pugh scores, MELD scores, and number of days on anticoagulant therapy. The mean INR was 1.3 in the DOAC group compared with 2.1 in the warfarin group (P = .0001). Eighty-one percent (n = 34) of patients in the DOAC group had a Child-Turcotte-Pugh score of A compared with 43.2% (n = 16) of patients in the warfarin group (P = .0009). Eight patients in the DOAC group had a Child-Turcotte-Pugh score of B compared with 19 patients in the warfarin group (P = .004). The mean MELD score was 9.4 in the DOAC group compared with 16.3 in the warfarin group (P = .0001). The mean days on anticoagulant therapy was 500.4 days for the DOAC group compared with 1,652.4 days for the warfarin group (P = .0001).

Safety Outcome

The primary outcome comparing all-cause bleeding rates between patients on DOACs compared with warfarin are listed in Table 2. With respect to the primary outcome, 7 (16.7%) patients on DOACs experienced a bleeding event compared with 8 (21.6%) patients on warfarin (P = .77). No statistically significant differences were detected between the DOAC and warfarin groups with respect to all-cause bleeding. Seven bleeding events occurred in the DOAC group; 1 met the qualification for major bleeding with a suspected gastrointestinal (GI) bleed.6 The other 6 bleeding episodes in the DOAC group consisted of hematoma, epistaxis, hematuria, and hematochezia. Eight bleeding events occurred in the warfarin group; 2 met the qualification for major bleeding with an intracranial hemorrhage and upper GI bleed.6 The other 6 bleeding episodes in the warfarin group consisted of epistaxis, bleeding gums, hematuria, and hematochezia. There were no statistically significant differences between the rates of major bleeding and nonmajor bleeding between the DOAC and warfarin groups.

 

 

Efficacy Outcomes

There were 3 events in the DOAC group and 3 events in the warfarin group (P = .99). In the DOAC group, 2 patients experienced a pulmonary embolism, and 1 patient experienced a MI. In the warfarin group, 3 patients died (end-stage heart failure, unknown cause due to death at an outside hospital, and sepsis/organ failure). There were no statistically significant differences between the composite endpoint of failed efficacy or the individual endpoints of VTE, stroke, MI, and death.

Subgroup Analysis

A prespecified subgroup analysis was conducted to determine risk factors for all-cause bleeding within each treatment group (Table 3). No significant trends were observed in the following risk factors: Child-Turcotte-Pugh score, indication for anticoagulation, use of NSAIDs, PPIs or H2RAs, presence of gastric or esophageal varices, active malignancies, and time within therapeutic INR range in the warfarin group. Patients with bleeding events had slightly increased weight and BMI vs patients without bleeding events. Within the warfarin group, patients with bleeding events had slightly elevated MELD scores compared to patients without bleeding events. There was an equal balance of patients prescribed aspirin therapy between the groups with and without bleeding events. Overall, no significant risk factors were identified for all-cause bleeding.

Discussion

Initially, patients with cirrhosis were excluded from DOAC trials due to concerns for increased bleeding risk with hepatically eliminated medications. New retrospective research has concluded that in patients with cirrhosis, DOACs have similar or lower bleeding rates when compared directly to warfarin.9,10

In this study, no statistically significant differences were detected between the primary and secondary outcomes of all-cause bleeding, major bleeding, or failed efficacy. Subgroup analysis did not identify any significant risk factors with respect to all-cause bleeding among patients in the DOAC and warfarin groups. To meet 80% power, 212 patients needed to be enrolled in the study; however, only 79 patients were enrolled, and power was not met. The results of this study should be interpreted cautiously as hypothesis-generating due to the small sample size. Strengths of this study include similar baseline characteristics between the DOAC and warfarin groups, 4-year length of retrospective data review, and availability of both inpatient and outpatient EHR limiting the amount of missing data points.

Baseline characteristics were similar between the groups except for mean INR, Child-Turcotte-Pugh score, MELD score, and number of days on anticoagulation therapy. The difference in mean INR between groups is expected as patients in the warfarin group have a goal INR of 2 to 3 to maintain therapeutic efficacy and safety. INR is not used as a marker of efficacy or safety with DOACs; therefore, a consistent elevation in INR is not expected. Child- Turcotte-Pugh scores are calculated using INR levels.11 When calculating the score, patients with an INR < 1.7 receive 1 point; patients with an INR between 1.7 and 2.3 receive 2 points.11 Therefore, patients in the warfarin group will have artificially inflated Child-Turcotte-Pugh scores as this group has goal INR levels of 2 to 3. This makes Child-Turcotte-Pugh scores unreliable markers of disease severity in patients using warfarin therapy. When the INR scores for patients prescribed warfarin were replaced with values < 1.7, the statistical difference disappeared between the warfarin and DOAC groups. The same effect is seen on MELD scores for patients prescribed warfarin therapy. The MELD score is calculated using INR levels.12 MELD scores also will be artificially elevated in patients prescribed warfarin therapy due to the INR elevation to between 2 and 3. When MELD scores for patients prescribed warfarin were replaced with values similar to those in the DOAC group, the statistical difference disappeared between the warfarin and DOAC groups.

The last statistically significant difference was found in number of days on anticoagulant therapy. This difference was expected as warfarin is the standard of care for anticoagulation treatment in patients with cirrhosis. The first DOAC, dabigatran, was not approved by the US Food and Drug Administration until 2010.13 DOACs have only recently been used in patients with cirrhosis accounting for the statistically significant difference in days on anticoagulation therapy between the warfarin and DOAC groups.

 

 

Limitations

The inability to meet power or evaluate adherence and appropriate renal dose adjustments for DOACs limited this study. This study was conducted at a single center in a predominantly male veteran population and therefore may not be generalizable to other populations. A majority of patients in the DOAC group were prescribed apixaban (69.1%), which may have affected the overall rate of major bleeding in the DOAC group. Pivotal trials of apixaban have shown a consistent decreased risk of major bleeding in patients with NVAF or VTE when compared with warfarin.14,15 Therefore, the results of this study may not be generalizable to all DOACs.

An inherent limitation of this study was the inability to collect data verifying adherence in the DOAC group. However, in the warfarin group, percentage of time within the therapeutic INR range of 2 to 3 was collected. While not a direct marker of adherence, this does allow for limited evaluation of therapeutic efficacy and safety within the warfarin group. Last, proper dosing of DOACs in patients with and without adequate renal function was not evaluated in this study.

Conclusions

The results of this study are consistent with other retrospective research and literature reviews. There were no statistically significant differences identified between the rates of all-cause bleeding, major bleeding, and failed efficacy between the DOAC and warfarin groups. DOACs may be a safe alternative to warfarin in patients with cirrhosis requiring anticoagulation for NVAF or VTE, but large randomized trials are required to confirm these results.

References

1. Qamar A, Vaduganathan M, Greenberger NJ, Giugliano RP. Oral anticoagulation in patients with liver disease. J Am Coll Cardiol. 2018;71(19):2162-2175. doi:10.1016/j.jacc.2018.03.023

2. Priyanka P, Kupec JT, Krafft M, Shah NA, Reynolds GJ. Newer oral anticoagulants in the treatment of acute portal vein thrombosis in patients with and without cirrhosis. Int J Hepatol. 2018;2018:8432781. Published 2018 Jun 5. doi:10.1155/2018/8432781

3. Intagliata NM, Henry ZH, Maitland H, et al. Direct oral anticoagulants in cirrhosis patients pose similar risks of bleeding when compared to traditional anticoagulation. Dig Dis Sci. 2016;61(6):1721-1727. doi:10.1007/s10620-015-4012-2

4. Hum J, Shatzel JJ, Jou JH, Deloughery TG. The efficacy and safety of direct oral anticoagulants vs traditional anticoagulants in cirrhosis. Eur J Haematol. 2017;98(4):393-397. doi:10.1111/ejh.12844

5. Goriacko P, Veltri KT. Safety of direct oral anticoagulants vs warfarin in patients with chronic liver disease and atrial fibrillation. Eur J Haematol. 2018;100(5):488-493. doi:10.1111/ejh.13045

6. Schulman S, Kearon C; Subcommittee on Control of Anticoagulation of the Scientific and Standardization Committee of the International Society on Thrombosis and Haemostasis. Definition of major bleeding in clinical investigations of antihemostatic medicinal products in non-surgical patients. J Thromb Haemost. 2005;3(4):692-694. doi:10.1111/j.1538-7836.2005.01204.x

7. Rubboli A, Becattini C, Verheugt FW. Incidence, clinical impact and risk of bleeding during oral anticoagulation therapy. World J Cardiol. 2011;3(11):351-358. doi:10.4330/wjc.v3.i11.351

8. Ruff CT, Giugliano RP, Braunwald E, et al. Comparison of the efficacy and safety of new oral anticoagulants with warfarin in patients with atrial fibrillation: a meta-analysis of randomised trials. Lancet. 2014;383(9921):955-962. doi:10.1016/S0140-6736(13)62343-0

9. Hoolwerf EW, Kraaijpoel N, Büller HR, van Es N. Direct oral anticoagulants in patients with liver cirrhosis: A systematic review. Thromb Res. 2018;170:102-108. doi:10.1016/j.thromres.2018.08.011

10. Steuber TD, Howard ML, Nisly SA. Direct oral anticoagulants in chronic liver disease. Ann Pharmacother. 2019;53(10):1042-1049. doi:10.1177/1060028019841582

11. Janevska D, Chaloska-Ivanova V, Janevski V. Hepatocellular carcinoma: risk factors, diagnosis and treatment. Open Access Maced J Med Sci. 2015;3(4):732-736. doi:10.3889/oamjms.2015.111

12. Singal AK, Kamath PS. Model for End-Stage Liver Disease. J Clin Exp Hepatol. 2013;3(1):50-60. doi:10.1016/j.jceh.2012.11.002

13. Joppa SA, Salciccioli J, Adamski J, et al. A practical review of the emerging direct anticoagulants, laboratory monitoring, and reversal agents. J Clin Med. 2018;7(2):29. Published 2018 Feb 11. doi:10.3390/jcm7020029

14. Granger CB, Alexander JH, McMurray JJ, et al. Apixaban versus warfarin in patients with atrial fibrillation. N Engl J Med. 2011;365(11):981-992. doi:10.1056/NEJMoa1107039

15. Agnelli G, Buller HR, Cohen A, et al. Oral apixaban for the treatment of acute venous thromboembolism. N Engl J Med. 2013;369(9):799-808. doi:10.1056/NEJMoa1302507

References

1. Qamar A, Vaduganathan M, Greenberger NJ, Giugliano RP. Oral anticoagulation in patients with liver disease. J Am Coll Cardiol. 2018;71(19):2162-2175. doi:10.1016/j.jacc.2018.03.023

2. Priyanka P, Kupec JT, Krafft M, Shah NA, Reynolds GJ. Newer oral anticoagulants in the treatment of acute portal vein thrombosis in patients with and without cirrhosis. Int J Hepatol. 2018;2018:8432781. Published 2018 Jun 5. doi:10.1155/2018/8432781

3. Intagliata NM, Henry ZH, Maitland H, et al. Direct oral anticoagulants in cirrhosis patients pose similar risks of bleeding when compared to traditional anticoagulation. Dig Dis Sci. 2016;61(6):1721-1727. doi:10.1007/s10620-015-4012-2

4. Hum J, Shatzel JJ, Jou JH, Deloughery TG. The efficacy and safety of direct oral anticoagulants vs traditional anticoagulants in cirrhosis. Eur J Haematol. 2017;98(4):393-397. doi:10.1111/ejh.12844

5. Goriacko P, Veltri KT. Safety of direct oral anticoagulants vs warfarin in patients with chronic liver disease and atrial fibrillation. Eur J Haematol. 2018;100(5):488-493. doi:10.1111/ejh.13045

6. Schulman S, Kearon C; Subcommittee on Control of Anticoagulation of the Scientific and Standardization Committee of the International Society on Thrombosis and Haemostasis. Definition of major bleeding in clinical investigations of antihemostatic medicinal products in non-surgical patients. J Thromb Haemost. 2005;3(4):692-694. doi:10.1111/j.1538-7836.2005.01204.x

7. Rubboli A, Becattini C, Verheugt FW. Incidence, clinical impact and risk of bleeding during oral anticoagulation therapy. World J Cardiol. 2011;3(11):351-358. doi:10.4330/wjc.v3.i11.351

8. Ruff CT, Giugliano RP, Braunwald E, et al. Comparison of the efficacy and safety of new oral anticoagulants with warfarin in patients with atrial fibrillation: a meta-analysis of randomised trials. Lancet. 2014;383(9921):955-962. doi:10.1016/S0140-6736(13)62343-0

9. Hoolwerf EW, Kraaijpoel N, Büller HR, van Es N. Direct oral anticoagulants in patients with liver cirrhosis: A systematic review. Thromb Res. 2018;170:102-108. doi:10.1016/j.thromres.2018.08.011

10. Steuber TD, Howard ML, Nisly SA. Direct oral anticoagulants in chronic liver disease. Ann Pharmacother. 2019;53(10):1042-1049. doi:10.1177/1060028019841582

11. Janevska D, Chaloska-Ivanova V, Janevski V. Hepatocellular carcinoma: risk factors, diagnosis and treatment. Open Access Maced J Med Sci. 2015;3(4):732-736. doi:10.3889/oamjms.2015.111

12. Singal AK, Kamath PS. Model for End-Stage Liver Disease. J Clin Exp Hepatol. 2013;3(1):50-60. doi:10.1016/j.jceh.2012.11.002

13. Joppa SA, Salciccioli J, Adamski J, et al. A practical review of the emerging direct anticoagulants, laboratory monitoring, and reversal agents. J Clin Med. 2018;7(2):29. Published 2018 Feb 11. doi:10.3390/jcm7020029

14. Granger CB, Alexander JH, McMurray JJ, et al. Apixaban versus warfarin in patients with atrial fibrillation. N Engl J Med. 2011;365(11):981-992. doi:10.1056/NEJMoa1107039

15. Agnelli G, Buller HR, Cohen A, et al. Oral apixaban for the treatment of acute venous thromboembolism. N Engl J Med. 2013;369(9):799-808. doi:10.1056/NEJMoa1302507

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Multidisciplinary Transitional Pain Service for the Veteran Population

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Tue, 10/20/2020 - 11:39

Despite advancements in techniques, postsurgical pain continues to be a prominent part of the patient experience. Often this experience can lead to developing chronic postsurgical pain that interferes with quality of life after the expected time to recovery.1-3 As many as 14% of patients who undergo surgery without any history of opioid use develop chronic opioid use that persists after recovery from their operation.4-8 For patients with existing chronic opioid use or a history of substance use disorder (SUD), surgeons, primary care providers, or addiction providers often do not provide sufficient presurgical planning or postsurgical coordination of care. This lack of pain care coordination can increase the risk of inadequate pain control, opioid use escalation, or SUD relapse after surgery.

Convincing arguments have been made that a perioperative surgical home can improve significantly the quality of perioperative care.9-14 This report describes our experience implementing a perioperative surgical home at the US Department of Veterans Affairs (VA) Salt Lake City VA Medical Center (SLCVAMC), focusing on pain management extending from the preoperative period until 6 months or more after surgery. This type of Transitional Pain Service (TPS) has been described previously.15-17 Our service differs from those described previously by enrolling all patients before surgery rather than select postsurgical enrollment of only patients with a history of opioid use or SUD or patients who struggle with persistent postsurgical pain.

Methods

In January 2018, we developed and implemented a new TPS at the SLCVAMC. The transitional pain team consisted of an anesthesiologist with specialization in acute pain management, a nurse practitioner (NP) with experience in both acute and chronic pain management, 2 nurse care coordinators, and a psychologist (Figure 1). Before implementation, a needs assessment took place with these key stakeholders and others at SLCVAMC to identify the following specific goals of the TPS: (1) reduce pain through pharmacologic and nonpharmacologic interventions; (2) eliminate new chronic opioid use in previously nonopioid user (NOU) patients; (3) address chronic opioid use in previous chronic opioid users (COUs) by providing support for opioid taper and alternative analgesic therapies for their chronic pain conditions; and (4) improve continuity of care by close coordination with the surgical team, primary care providers (PCPs), and mental health or chronic pain providers as needed.

Once these TPS goals were defined, the Consolidated Framework for Implementation Research (CFIR) guided the implementation. CFIR is a theory-based implementation framework consisting of 5 domains: intervention characteristics, inner setting, outer setting, characteristics of individuals, and process. These domains were used to identify barriers and facilitators during the early implementation process and helped refine TPS as it was put into clinical practice.

Patient Selection

During the initial implementation of TPS, enrollment was limited to patients scheduled for elective primary or revision knee, hip, or shoulder replacement as well as rotator cuff repair surgery. But as the TPS workflow became established after iterative refinement, we expanded the program to enroll patients with established risk factors for OUD having other types of surgery (Table 1). The diagnosis of risk factors, such as history of SUD, chronic opioid use, or significant mental health disorders (ie, history of suicidal ideation or attempt, posttraumatic stress disorder, and inpatient psychiatric care) were confirmed through both in-person interviews and electronic health record (EHR) documentation. The overall goal was to identify all at-risk patients as soon as they were indicated for surgery, to allow time for evaluation, education, developing an individualized pain plan, and opioid taper prior to surgery if indicated.

Preoperative Procedures

Once identified, patients were contacted by a TPS team member and invited to attend a onetime 90-minute presurgical expectations class held at SLCVAMC. The education curriculum was developed by the whole team, and classes were taught primarily by the TPS psychologist. The class included education about expectations for postoperative pain, available analgesic therapies, opioid education, appropriate use of opioids, and the effect of psychological factors on pain. Pain coping strategies were introduced using a mindfulness-based intervention (MBI) and the Acceptance and Commitment Therapy (ACT) matrix. Classes were offered multiple times a week to help maximize convenience for patients and were separate from the anesthesia preoperative evaluation. Patients attended class only once. High-risk patients (patients with chronic opioid therapy, recent history of or current SUDs, significant comorbid mental health issues) were encouraged to attend this class one-on-one with the TPS psychologist rather than in the group setting, so individual attention to mental health and SUD issues could be addressed directly. For patients who were unable to or who chose not to attend the class, the basic education component of the class without the MBI and ACT matrix was provided by nurse care coordinators and/or the anesthesiologist/NP individually before surgery either during the anesthesia preoperative visit or in the same-day surgery unit on the day of surgery.

 

 

Baseline history, morphine equivalent daily dose (MEDD), and patient-reported outcomes using measures from the Patient-Reported Outcome Measurement System (PROMIS) for pain intensity (PROMIS 3a), pain interference (PROMIS 6b), and physical function (PROMIS 8b), and a pain-catastrophizing scale (PCS) score were obtained on all patients.18 PROMIS measures are validated questionnaires developed with the National Institutes of Health to standardize and quantify patient-reported outcomes in many domains.19 Patients with a history of SUD or COU met with the anesthesiologist and/or NP, and a personalized pain plan was developed that included preoperative opioid taper, buprenorphine use strategy, or opioid-free strategies.

Hospital Procedures

On the day of surgery, the TPS team met with the patient preoperatively and implemented an individualized pain plan that included multimodal analgesic techniques with nonsteroidal anti-inflammatory drugs, acetaminophen, gabapentinoids, and regional anesthesia, where appropriate (Table 2). Enhanced recovery after surgery protocols were developed in conjunction with the surgeons to include local infiltration analgesia by the surgeon, postoperative multimodal analgesic strategies, and intensive physical therapy starting the day of surgery for inpatient procedures.

After surgery, the TPS team followed up with patients daily and provided recommendations for analgesic therapies. Patients were offered daily sessions with the psychologist to reinforce and practice nonpharmacologic pain-coping strategies, such as meditation and relaxation. Prior to patient discharge, the TPS team provided recommendations for discharge medications and an opioid taper plan. For some patients taking buprenorphine before surgery who had stopped this therapy prior to or during their hospital stay, TPS providers transitioned them back to buprenorphine before discharge.

Postoperative Procedures

Patients were called by the nurse care coordinators at postdischarge days 2, 7, 10, 14, 21, 28, and then monthly for ≥ 6 months. For patients who had not stopped opioid use or returned to their preoperative baseline opioid dose, weekly calls were made until opioid taper goals were achieved. At each call, nurses collected PROMIS scores for the previous 24 hours, the most recent 24-hour MEDD, the date of last opioid use, and the number of remaining opioid tablets after opioid cessation. In addition, nurses provided active listening and supportive care and encouragement as well as care coordination for issues related to rehabilitation facilities, physical therapy, transportation, medication questions, and wound questions. Nurses notified the anesthesiologist or NP when patients were unable to taper opioid use or had poor pain control as indicated by their PROMIS scores, opioid use, or directly expressed by the patient.

The TPS team prescribed alternative analgesic therapies, opioid taper plans, and communicated with surgeons and primary care providers if limited continued opioid therapy was recommended. Individual sessions with the psychologist were available to patients after discharge with a focus on ACT-matrix therapy and consultation with long-term mental health and/or substance abuse providers as indicated. Frequent communication and care coordination were maintained with the surgical team, the PCP, and other providers on the mental health or chronic pain services. This care coordination often included postsurgical joint clinic appointments in which TPS providers and nurses would be present with the surgeon or the PCP.

For patients with inadequately treated chronic pain conditions or who required long-term opioid tapers, we developed a combined clinic with the TPS and Anesthesia Chronic Pain group. This clinic allows patients to be seen by both services in the same setting, allowing a warm handoff by TPS to the chronic pain team.

 

 

Heath and Decision Support Tools 

An electronic dashboard registry of surgical episodes managed by TPS was developed to achieve clinical, administrative, and quality improvement goals. The dashboard registry consists of surgical episode data, opioid doses, patient-reported outcomes, and clinical decision-making processes. Custom-built note templates capture pertinent data through embedded data labels, called health factors. Data are captured as part of routine clinical care, recorded in Computerized Patient Record System as health factors. They are available in the VA Corporate Data Warehouse as structured data. Workflows are executed daily to keep the dashboard registry current, clean, and able to process new data. Information displays direct daily clinical workflow and support point-of-care clinical decision making (Figures 2, 3, and 4). Data are aggregated across patient-care encounters and allow nurse care coordinators to concisely review pertinent patient data prior to delivering care. These data include surgical history, comorbidities, timeline of opioid use, and PROMIS scores during their course of recovery. This system allows TPS to optimize care delivery by providing longitudinal data across the surgical episode, thereby reducing the time needed to review records. Secondary purposes of captured data include measuring clinic performance and quality improvement to improve care delivery.

Results

The TPS intervention was implemented January 1, 2018. Two-hundred thirteen patients were enrolled between January and December 2018, which included 60 (28%) patients with a history of chronic opioid use and 153 (72%) patients who were considered opioid naïve. A total of 99% of patients had ≥ 1 successful follow-up within 14 days after discharge, 96% had ≥ 1 follow-up between 14 and 30 days after surgery, and 72% had completed personal follow-up 90 days after discharge (Table 3). For patients who TPS was unable to contact in person or by phone, 90-day MEDD was obtained using prescription and Controlled Substance Database reviews. The protocol for this retrospective analysis was approved by the University of Utah Institutional Review Board and the VA Research Review Committee.

By 90 days after surgery, 26 (43.3%) COUs were off opioids completely, 17 (28.3%) had decreased their opioid dose from their preoperative baseline MEDD (120 [SD, 108] vs 55 [SD, 45]), 14 (23.3%) returned to their baseline dose, and 3 (5%) increased from their baseline dose. Of the 153 patients who were NOUs before surgery, only 1 (0.7%) was taking opioids after 90 days. TPS continued to work closely with the patient and their PCP and that patient was finally able to stop opioid use 262 days after discharge. Ten patients had an additional surgery within 90 days of the initial surgery. Of these, 6 were COU, of whom 3 stopped all opioids by 90 days from their original surgery, 2 had no change in MEDD at 90 days, and 1 had a lower MEDD at 90 days. Of the 4 NOU who had additional surgery, all were off opioids by 90 days from the original surgery.



Although difficult to quantify, a meaningful outcome of TPS has been to improve satisfaction substantially among health care providers caring for complex patients at risk for chronic opioid abuse. This group includes the many members of the surgical team, PCPs, and addiction specialists who appreciate the close care coordination and assistance in caring for patients with difficult issues, especially with opioid tapers or SUDs. We also have noticed changes in prescribing practices among surgeons and PCPs for their patients who are not part of TPS.

 

 

Discussion

With any new clinical service, there are obstacles and challenges. TPS requires a considerable investment in personnel, and currently no mechanism is in place for obtaining payment for many of the provided services. We were fortunate the VA Whole Health Initiative, the VA Office of Rural Health, and the VA Centers of Innovation provided support for the development, implementation, and pilot evaluation of TPS. After we presented our initial results to hospital leadership, we also received hospital support to expand TPS service to include a total of 4 nurse care coordinators and 2 psychologists. We are currently performing a cost analysis of the service but recognize that this model may be difficult to reproduce at other institutions without a change in reimbursement standards.

Developing a working relationship with the surgical and primary care services required a concerted effort from the TPS team and a number of months to become effective. As most veterans receive primary care, mental health care, and surgical care within the VA system, this model lends itself to close care coordination. Initially there was skepticism about TPS recommendations to reduce opioid use, especially from PCPs who had cared for complex patients over many years. But this uncertainty went away as we showed evidence of close patient follow-up and detailed communication. TPS soon became the designated service for both primary care and surgical providers who were otherwise uncomfortable with how to approach opioid tapers and nonopioid pain strategies. In fact, a substantial portion of our referrals now come directly from the PCP who is referring a high-risk patient for evaluation for surgery rather than from the surgeons, and joint visits with TPS and primary care have become commonplace.

Challenges abound when working with patients with substance abuse history, opioid use history, high anxiety, significant pain catastrophizing, and those who have had previous negative experiences with surgery. We have found that the most important facet of our service comes from the amount of time and effort team members, especially the nurses, spend helping patients. Much of the nurses' work focuses on nonpain-related issues, such as assisting patients with finding transportation, housing issues, questions about medications, help scheduling appointments, etc. Through this concerted effort, patients gain trust in TPS providers and are willing to listen to and experiment with our recommendations. Many patients who were initially extremely unreceptive to the presurgery education asked for our support weeks after surgery to help with postsurgery pain.

Another challenge we continue to experience comes from the success of the program. We receive many requests from PCPs to help with opioid tapers and pain management for nonsurgical patients. Although we are happy that they look to TPS for assistance, the pressure to expand threatens our ability to maintain the expected quality of work we are trying to provide for surgical patients.

Conclusions

The multidisciplinary TPS supports greater preoperative to postoperative longitudinal care for surgical patients. This endeavor has resulted in better patient preparation before surgery and improved care coordination after surgery, with specific improvements in appropriate use of opioid medications and smooth transitions of care for patients with ongoing and complex needs. Development of sophisticated note templates and customized health information technology allows for accurate follow-through and data gathering for quality improvement, facilitating data-driven improvements and proving value to the facility.

 

 

Given that TPS is a multidisciplinary program with multiple interventions, it is difficult to pinpoint which specific aspects of TPS are most effective in achieving success. For example, although we have little doubt that the work our psychologists do with our patients is beneficial and even essential for the success we have had with some of our most difficult patients, it is less clear whether it matters if they use mindfulness, ACT matrix, or cognitive behavioral therapy. We think that an important part of TPS is the frequent human interaction with a caring individual. Therefore, as TPS continues to grow, maintaining the ability to provide frequent personal interaction is a priority.

The role of opioids in acute pain deserves further scrutiny. In 2018, with TPS use of opioids after orthopedic surgery decreased by > 40% from the previous year. Despite this more restricted use of opioids, pain interference and physical function scores indicated that surgical patients do not seem to experience increased pain or reduced physical function. In addition, stopping opioid use for COUs did not seem to affect the quality of recovery, pain, or physical function. Future prospective controlled studies of TPS are needed to confirm these findings and identify which aspects of TPS are most effective in improving functional recovery of patients. Also, more evidence is needed to determine the appropriateness or need for opioids in acute postsurgical pain.

TPS has expanded to include all surgical specialties. Given the high burden and limited resources, we have chosen to focus on patients at higher risk for chronic postsurgical pain by type of surgery (eg, thoracotomy, open abdominal, limb amputation, major joint surgery) and/or history of substance abuse or chronic opioid use. To better direct scarce resources where it would be of most benefit, we are now enrolling only NOUs without other risk factors postoperatively if they request a refill of opioids or are otherwise struggling with pain control after surgery. Whether this approach affects the success we had in the first year in preventing new COUs after surgery remains to be seen.

It is unlikely that any single model of a perioperative surgical home will fit the needs of the many different types of medical systems that exist. The TPS model fits well in large hospital systems, like the VA, where patients receive most of their care within the same system. However, it seems to us that the optimal TPS program in any health system will provide education, support, and care coordination beginning preoperatively to prepare the patient for surgery and then to facilitate care coordination to transition patients back to their PCPs or on to specialized chronic care.

Acknowledgments

We would like to acknowledge the contributions of Candice Harmon, RN; David Merrill, RN; Amy Beckstead, RN, who have provided invaluable assistance with establishing the TPS program at the VA Salt Lake City and helping with the evaluation process.

Funding for the implementation and evaluation of the TPS was received from the VA Whole Health Initiative, the VA Center of Innovation, the VA Office of Rural Health, and National Institutes of Health Grant UL1TR002538.

References

1. Ilfeld BM, Madison SJ, Suresh PJ. Persistent postmastectomy pain and pain-related physical and emotional functioning with and without a continuous paravertebral nerve block: a prospective 1-year follow-up assessment of a randomized, triple-masked, placebo-controlled study. Ann Surg Oncol. 2015;22(6):2017-2025. doi:10.1245/s10434-014-4248-7

2. Richebé P, Capdevila X, Rivat C. Persistent postsurgical pain. Anesthesiology. 2018;129(3):590-607. doi:10.1097/aln.0000000000002238

3. Glare P, Aubrey KR, Myles PS. Transition from acute to chronic pain after surgery. Lancet. 2019;393(10180):1537-1546. doi:10.1016/s0140-6736(19)30352-6

4. Brummett CM, Waljee JF, Goesling J, et al. New persistent opioid use after minor and major surgical procedures in US adults. JAMA Surgery. 2017;152(6):e170504-e170504. doi:10.1001/jamasurg.2017.0504

5. Swenson CW, Kamdar NS, Seiler K, Morgan DM, Lin P, As-Sanie S. Definition development and prevalence of new persistent opioid use following hysterectomy. Am J Obstet Gynecol. 2018;219(5):486.e1-486.e7. doi:10.1016/j.ajog.2018.06.010

6. Bartels K, Fernandez-Bustamante A, McWilliams SK, Hopfer CJ, Mikulich-Gilbertson SK. Long-term opioid use after inpatient surgery - a retrospective cohort study. Drug Alcohol Depend. 2018;187:61-65. doi:10.1016/j.drugalcdep.2018.02.013

7. Bedard N, DeMik D, Dowdle S, Callaghan J. Trends and risk factors for prolonged opioid use after unicompartmental knee arthroplasty. Bone Joint J. 2018;100-B(1)(suppl A):62-67. doi:10.1302/0301-620x.100b1.bjj-2017-0547.r1

8. Politzer CS, Kildow BJ, Goltz DE, Green CL, Bolognesi MP, Seyler T. Trends in opioid utilization before and after total knee arthroplasty. J Arthroplasty. 2018;33(7S):S147-S153.e1. doi:10.1016/j.arth.2017.10.060

9. Mariano ER, Walters TL, Kim ET, Kain ZN. Why the perioperative surgical home makes sense for Veterans Affairs health care. Anesth Analg. 2015;120(5):1163-1166. doi:10.1213/ane.0000000000000712

10. Walters TL, Howard SK, Kou A, et al. Design and implementation of a perioperative surgical home at a Veterans Affairs hospital. Semin Cardiothorac Vasc Anesth. 2016;20(2):133-140. doi:10.1177/1089253215607066

11. Walters TL, Mariano ER, Clark DJ. Perioperative surgical home and the integral role of pain medicine. Pain Med. 2015;16(9):1666-1672. doi:10.1111/pme.12796

12. Vetter TR, Kain ZN. Role of the perioperative surgical home in optimizing the perioperative use of opioids. Anesth Analg. 2017;125(5):1653-1657. doi:10.1213/ane.0000000000002280

13. Shafer SL. Anesthesia & Analgesia’s 2015 collection on the perioperative surgical home. Anesth Analg. 2015;120(5):966-967. doi:10.1213/ane.0000000000000696

14. Wenzel JT, Schwenk ES, Baratta JL, Viscusi ER. Managing opioid-tolerant patients in the perioperative surgical home. Anesthesiol Clin. 2016;34(2):287-301. doi:10.1016/j.anclin.2016.01.005

15. Katz J, Weinrib A, Fashler SR, et al. The Toronto General Hospital Transitional Pain Service: development and implementation of a multidisciplinary program to prevent chronic postsurgical pain. J Pain Res. 2015;8:695-702. doi:10.2147/jpr.s91924

16. Tiippana E, Hamunen K, Heiskanen T, Nieminen T, Kalso E, Kontinen VK. New approach for treatment of prolonged postoperative pain: APS Out-Patient Clinic. Scand J Pain. 2016;12(1):19-24. doi:10.1016/j.sjpain.2016.02.008

17. Katz J, Weinrib AZ, Clarke H. Chronic postsurgical pain: from risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service. Can J Pain. 2019;3(2):49-58. doi:10.1080/24740527.2019.1574537

18. Sullivan MJ, Bishop SR, Pivik J. The Pain Catastrophizing Scale: development and validation. Psychol Assess. 1995;7(4):524-532. doi:10.1037/1040-3590.7.4.524

19. HealthMeasures. Intro to PROMIS. https://www.healthmeasures.net/explore-measurement-systems/promis. Accessed September 28, 2020.

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Correspondence: Michael Buys ([email protected].edu)

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Correspondence: Michael Buys ([email protected].edu)

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Michael Buys is an Anesthesiologist, Kimberlee Bayless is a Nurse Practitioner, Jennifer Romesser is a Psychologist, Zachary Anderson and Shardool Patel are Pharmacists, all at the Salt Lake City VA Medical Center in Utah. Julie Beckstrom is a Research Nurse and Benjamin Brook is an Associate Professor, both in the Department of Surgery; Michael Buys is an Associate Professor in the Department of Anesthesiology; Chong Zhang is a Statistician, and Angela Presson is a Research Associate Professor, both in the Department of Internal Medicine and Epidemiology; all at the University of Utah in Salt Lake City.
Correspondence: Michael Buys ([email protected].edu)

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The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

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Related Articles

Despite advancements in techniques, postsurgical pain continues to be a prominent part of the patient experience. Often this experience can lead to developing chronic postsurgical pain that interferes with quality of life after the expected time to recovery.1-3 As many as 14% of patients who undergo surgery without any history of opioid use develop chronic opioid use that persists after recovery from their operation.4-8 For patients with existing chronic opioid use or a history of substance use disorder (SUD), surgeons, primary care providers, or addiction providers often do not provide sufficient presurgical planning or postsurgical coordination of care. This lack of pain care coordination can increase the risk of inadequate pain control, opioid use escalation, or SUD relapse after surgery.

Convincing arguments have been made that a perioperative surgical home can improve significantly the quality of perioperative care.9-14 This report describes our experience implementing a perioperative surgical home at the US Department of Veterans Affairs (VA) Salt Lake City VA Medical Center (SLCVAMC), focusing on pain management extending from the preoperative period until 6 months or more after surgery. This type of Transitional Pain Service (TPS) has been described previously.15-17 Our service differs from those described previously by enrolling all patients before surgery rather than select postsurgical enrollment of only patients with a history of opioid use or SUD or patients who struggle with persistent postsurgical pain.

Methods

In January 2018, we developed and implemented a new TPS at the SLCVAMC. The transitional pain team consisted of an anesthesiologist with specialization in acute pain management, a nurse practitioner (NP) with experience in both acute and chronic pain management, 2 nurse care coordinators, and a psychologist (Figure 1). Before implementation, a needs assessment took place with these key stakeholders and others at SLCVAMC to identify the following specific goals of the TPS: (1) reduce pain through pharmacologic and nonpharmacologic interventions; (2) eliminate new chronic opioid use in previously nonopioid user (NOU) patients; (3) address chronic opioid use in previous chronic opioid users (COUs) by providing support for opioid taper and alternative analgesic therapies for their chronic pain conditions; and (4) improve continuity of care by close coordination with the surgical team, primary care providers (PCPs), and mental health or chronic pain providers as needed.

Once these TPS goals were defined, the Consolidated Framework for Implementation Research (CFIR) guided the implementation. CFIR is a theory-based implementation framework consisting of 5 domains: intervention characteristics, inner setting, outer setting, characteristics of individuals, and process. These domains were used to identify barriers and facilitators during the early implementation process and helped refine TPS as it was put into clinical practice.

Patient Selection

During the initial implementation of TPS, enrollment was limited to patients scheduled for elective primary or revision knee, hip, or shoulder replacement as well as rotator cuff repair surgery. But as the TPS workflow became established after iterative refinement, we expanded the program to enroll patients with established risk factors for OUD having other types of surgery (Table 1). The diagnosis of risk factors, such as history of SUD, chronic opioid use, or significant mental health disorders (ie, history of suicidal ideation or attempt, posttraumatic stress disorder, and inpatient psychiatric care) were confirmed through both in-person interviews and electronic health record (EHR) documentation. The overall goal was to identify all at-risk patients as soon as they were indicated for surgery, to allow time for evaluation, education, developing an individualized pain plan, and opioid taper prior to surgery if indicated.

Preoperative Procedures

Once identified, patients were contacted by a TPS team member and invited to attend a onetime 90-minute presurgical expectations class held at SLCVAMC. The education curriculum was developed by the whole team, and classes were taught primarily by the TPS psychologist. The class included education about expectations for postoperative pain, available analgesic therapies, opioid education, appropriate use of opioids, and the effect of psychological factors on pain. Pain coping strategies were introduced using a mindfulness-based intervention (MBI) and the Acceptance and Commitment Therapy (ACT) matrix. Classes were offered multiple times a week to help maximize convenience for patients and were separate from the anesthesia preoperative evaluation. Patients attended class only once. High-risk patients (patients with chronic opioid therapy, recent history of or current SUDs, significant comorbid mental health issues) were encouraged to attend this class one-on-one with the TPS psychologist rather than in the group setting, so individual attention to mental health and SUD issues could be addressed directly. For patients who were unable to or who chose not to attend the class, the basic education component of the class without the MBI and ACT matrix was provided by nurse care coordinators and/or the anesthesiologist/NP individually before surgery either during the anesthesia preoperative visit or in the same-day surgery unit on the day of surgery.

 

 

Baseline history, morphine equivalent daily dose (MEDD), and patient-reported outcomes using measures from the Patient-Reported Outcome Measurement System (PROMIS) for pain intensity (PROMIS 3a), pain interference (PROMIS 6b), and physical function (PROMIS 8b), and a pain-catastrophizing scale (PCS) score were obtained on all patients.18 PROMIS measures are validated questionnaires developed with the National Institutes of Health to standardize and quantify patient-reported outcomes in many domains.19 Patients with a history of SUD or COU met with the anesthesiologist and/or NP, and a personalized pain plan was developed that included preoperative opioid taper, buprenorphine use strategy, or opioid-free strategies.

Hospital Procedures

On the day of surgery, the TPS team met with the patient preoperatively and implemented an individualized pain plan that included multimodal analgesic techniques with nonsteroidal anti-inflammatory drugs, acetaminophen, gabapentinoids, and regional anesthesia, where appropriate (Table 2). Enhanced recovery after surgery protocols were developed in conjunction with the surgeons to include local infiltration analgesia by the surgeon, postoperative multimodal analgesic strategies, and intensive physical therapy starting the day of surgery for inpatient procedures.

After surgery, the TPS team followed up with patients daily and provided recommendations for analgesic therapies. Patients were offered daily sessions with the psychologist to reinforce and practice nonpharmacologic pain-coping strategies, such as meditation and relaxation. Prior to patient discharge, the TPS team provided recommendations for discharge medications and an opioid taper plan. For some patients taking buprenorphine before surgery who had stopped this therapy prior to or during their hospital stay, TPS providers transitioned them back to buprenorphine before discharge.

Postoperative Procedures

Patients were called by the nurse care coordinators at postdischarge days 2, 7, 10, 14, 21, 28, and then monthly for ≥ 6 months. For patients who had not stopped opioid use or returned to their preoperative baseline opioid dose, weekly calls were made until opioid taper goals were achieved. At each call, nurses collected PROMIS scores for the previous 24 hours, the most recent 24-hour MEDD, the date of last opioid use, and the number of remaining opioid tablets after opioid cessation. In addition, nurses provided active listening and supportive care and encouragement as well as care coordination for issues related to rehabilitation facilities, physical therapy, transportation, medication questions, and wound questions. Nurses notified the anesthesiologist or NP when patients were unable to taper opioid use or had poor pain control as indicated by their PROMIS scores, opioid use, or directly expressed by the patient.

The TPS team prescribed alternative analgesic therapies, opioid taper plans, and communicated with surgeons and primary care providers if limited continued opioid therapy was recommended. Individual sessions with the psychologist were available to patients after discharge with a focus on ACT-matrix therapy and consultation with long-term mental health and/or substance abuse providers as indicated. Frequent communication and care coordination were maintained with the surgical team, the PCP, and other providers on the mental health or chronic pain services. This care coordination often included postsurgical joint clinic appointments in which TPS providers and nurses would be present with the surgeon or the PCP.

For patients with inadequately treated chronic pain conditions or who required long-term opioid tapers, we developed a combined clinic with the TPS and Anesthesia Chronic Pain group. This clinic allows patients to be seen by both services in the same setting, allowing a warm handoff by TPS to the chronic pain team.

 

 

Heath and Decision Support Tools 

An electronic dashboard registry of surgical episodes managed by TPS was developed to achieve clinical, administrative, and quality improvement goals. The dashboard registry consists of surgical episode data, opioid doses, patient-reported outcomes, and clinical decision-making processes. Custom-built note templates capture pertinent data through embedded data labels, called health factors. Data are captured as part of routine clinical care, recorded in Computerized Patient Record System as health factors. They are available in the VA Corporate Data Warehouse as structured data. Workflows are executed daily to keep the dashboard registry current, clean, and able to process new data. Information displays direct daily clinical workflow and support point-of-care clinical decision making (Figures 2, 3, and 4). Data are aggregated across patient-care encounters and allow nurse care coordinators to concisely review pertinent patient data prior to delivering care. These data include surgical history, comorbidities, timeline of opioid use, and PROMIS scores during their course of recovery. This system allows TPS to optimize care delivery by providing longitudinal data across the surgical episode, thereby reducing the time needed to review records. Secondary purposes of captured data include measuring clinic performance and quality improvement to improve care delivery.

Results

The TPS intervention was implemented January 1, 2018. Two-hundred thirteen patients were enrolled between January and December 2018, which included 60 (28%) patients with a history of chronic opioid use and 153 (72%) patients who were considered opioid naïve. A total of 99% of patients had ≥ 1 successful follow-up within 14 days after discharge, 96% had ≥ 1 follow-up between 14 and 30 days after surgery, and 72% had completed personal follow-up 90 days after discharge (Table 3). For patients who TPS was unable to contact in person or by phone, 90-day MEDD was obtained using prescription and Controlled Substance Database reviews. The protocol for this retrospective analysis was approved by the University of Utah Institutional Review Board and the VA Research Review Committee.

By 90 days after surgery, 26 (43.3%) COUs were off opioids completely, 17 (28.3%) had decreased their opioid dose from their preoperative baseline MEDD (120 [SD, 108] vs 55 [SD, 45]), 14 (23.3%) returned to their baseline dose, and 3 (5%) increased from their baseline dose. Of the 153 patients who were NOUs before surgery, only 1 (0.7%) was taking opioids after 90 days. TPS continued to work closely with the patient and their PCP and that patient was finally able to stop opioid use 262 days after discharge. Ten patients had an additional surgery within 90 days of the initial surgery. Of these, 6 were COU, of whom 3 stopped all opioids by 90 days from their original surgery, 2 had no change in MEDD at 90 days, and 1 had a lower MEDD at 90 days. Of the 4 NOU who had additional surgery, all were off opioids by 90 days from the original surgery.



Although difficult to quantify, a meaningful outcome of TPS has been to improve satisfaction substantially among health care providers caring for complex patients at risk for chronic opioid abuse. This group includes the many members of the surgical team, PCPs, and addiction specialists who appreciate the close care coordination and assistance in caring for patients with difficult issues, especially with opioid tapers or SUDs. We also have noticed changes in prescribing practices among surgeons and PCPs for their patients who are not part of TPS.

 

 

Discussion

With any new clinical service, there are obstacles and challenges. TPS requires a considerable investment in personnel, and currently no mechanism is in place for obtaining payment for many of the provided services. We were fortunate the VA Whole Health Initiative, the VA Office of Rural Health, and the VA Centers of Innovation provided support for the development, implementation, and pilot evaluation of TPS. After we presented our initial results to hospital leadership, we also received hospital support to expand TPS service to include a total of 4 nurse care coordinators and 2 psychologists. We are currently performing a cost analysis of the service but recognize that this model may be difficult to reproduce at other institutions without a change in reimbursement standards.

Developing a working relationship with the surgical and primary care services required a concerted effort from the TPS team and a number of months to become effective. As most veterans receive primary care, mental health care, and surgical care within the VA system, this model lends itself to close care coordination. Initially there was skepticism about TPS recommendations to reduce opioid use, especially from PCPs who had cared for complex patients over many years. But this uncertainty went away as we showed evidence of close patient follow-up and detailed communication. TPS soon became the designated service for both primary care and surgical providers who were otherwise uncomfortable with how to approach opioid tapers and nonopioid pain strategies. In fact, a substantial portion of our referrals now come directly from the PCP who is referring a high-risk patient for evaluation for surgery rather than from the surgeons, and joint visits with TPS and primary care have become commonplace.

Challenges abound when working with patients with substance abuse history, opioid use history, high anxiety, significant pain catastrophizing, and those who have had previous negative experiences with surgery. We have found that the most important facet of our service comes from the amount of time and effort team members, especially the nurses, spend helping patients. Much of the nurses' work focuses on nonpain-related issues, such as assisting patients with finding transportation, housing issues, questions about medications, help scheduling appointments, etc. Through this concerted effort, patients gain trust in TPS providers and are willing to listen to and experiment with our recommendations. Many patients who were initially extremely unreceptive to the presurgery education asked for our support weeks after surgery to help with postsurgery pain.

Another challenge we continue to experience comes from the success of the program. We receive many requests from PCPs to help with opioid tapers and pain management for nonsurgical patients. Although we are happy that they look to TPS for assistance, the pressure to expand threatens our ability to maintain the expected quality of work we are trying to provide for surgical patients.

Conclusions

The multidisciplinary TPS supports greater preoperative to postoperative longitudinal care for surgical patients. This endeavor has resulted in better patient preparation before surgery and improved care coordination after surgery, with specific improvements in appropriate use of opioid medications and smooth transitions of care for patients with ongoing and complex needs. Development of sophisticated note templates and customized health information technology allows for accurate follow-through and data gathering for quality improvement, facilitating data-driven improvements and proving value to the facility.

 

 

Given that TPS is a multidisciplinary program with multiple interventions, it is difficult to pinpoint which specific aspects of TPS are most effective in achieving success. For example, although we have little doubt that the work our psychologists do with our patients is beneficial and even essential for the success we have had with some of our most difficult patients, it is less clear whether it matters if they use mindfulness, ACT matrix, or cognitive behavioral therapy. We think that an important part of TPS is the frequent human interaction with a caring individual. Therefore, as TPS continues to grow, maintaining the ability to provide frequent personal interaction is a priority.

The role of opioids in acute pain deserves further scrutiny. In 2018, with TPS use of opioids after orthopedic surgery decreased by > 40% from the previous year. Despite this more restricted use of opioids, pain interference and physical function scores indicated that surgical patients do not seem to experience increased pain or reduced physical function. In addition, stopping opioid use for COUs did not seem to affect the quality of recovery, pain, or physical function. Future prospective controlled studies of TPS are needed to confirm these findings and identify which aspects of TPS are most effective in improving functional recovery of patients. Also, more evidence is needed to determine the appropriateness or need for opioids in acute postsurgical pain.

TPS has expanded to include all surgical specialties. Given the high burden and limited resources, we have chosen to focus on patients at higher risk for chronic postsurgical pain by type of surgery (eg, thoracotomy, open abdominal, limb amputation, major joint surgery) and/or history of substance abuse or chronic opioid use. To better direct scarce resources where it would be of most benefit, we are now enrolling only NOUs without other risk factors postoperatively if they request a refill of opioids or are otherwise struggling with pain control after surgery. Whether this approach affects the success we had in the first year in preventing new COUs after surgery remains to be seen.

It is unlikely that any single model of a perioperative surgical home will fit the needs of the many different types of medical systems that exist. The TPS model fits well in large hospital systems, like the VA, where patients receive most of their care within the same system. However, it seems to us that the optimal TPS program in any health system will provide education, support, and care coordination beginning preoperatively to prepare the patient for surgery and then to facilitate care coordination to transition patients back to their PCPs or on to specialized chronic care.

Acknowledgments

We would like to acknowledge the contributions of Candice Harmon, RN; David Merrill, RN; Amy Beckstead, RN, who have provided invaluable assistance with establishing the TPS program at the VA Salt Lake City and helping with the evaluation process.

Funding for the implementation and evaluation of the TPS was received from the VA Whole Health Initiative, the VA Center of Innovation, the VA Office of Rural Health, and National Institutes of Health Grant UL1TR002538.

Despite advancements in techniques, postsurgical pain continues to be a prominent part of the patient experience. Often this experience can lead to developing chronic postsurgical pain that interferes with quality of life after the expected time to recovery.1-3 As many as 14% of patients who undergo surgery without any history of opioid use develop chronic opioid use that persists after recovery from their operation.4-8 For patients with existing chronic opioid use or a history of substance use disorder (SUD), surgeons, primary care providers, or addiction providers often do not provide sufficient presurgical planning or postsurgical coordination of care. This lack of pain care coordination can increase the risk of inadequate pain control, opioid use escalation, or SUD relapse after surgery.

Convincing arguments have been made that a perioperative surgical home can improve significantly the quality of perioperative care.9-14 This report describes our experience implementing a perioperative surgical home at the US Department of Veterans Affairs (VA) Salt Lake City VA Medical Center (SLCVAMC), focusing on pain management extending from the preoperative period until 6 months or more after surgery. This type of Transitional Pain Service (TPS) has been described previously.15-17 Our service differs from those described previously by enrolling all patients before surgery rather than select postsurgical enrollment of only patients with a history of opioid use or SUD or patients who struggle with persistent postsurgical pain.

Methods

In January 2018, we developed and implemented a new TPS at the SLCVAMC. The transitional pain team consisted of an anesthesiologist with specialization in acute pain management, a nurse practitioner (NP) with experience in both acute and chronic pain management, 2 nurse care coordinators, and a psychologist (Figure 1). Before implementation, a needs assessment took place with these key stakeholders and others at SLCVAMC to identify the following specific goals of the TPS: (1) reduce pain through pharmacologic and nonpharmacologic interventions; (2) eliminate new chronic opioid use in previously nonopioid user (NOU) patients; (3) address chronic opioid use in previous chronic opioid users (COUs) by providing support for opioid taper and alternative analgesic therapies for their chronic pain conditions; and (4) improve continuity of care by close coordination with the surgical team, primary care providers (PCPs), and mental health or chronic pain providers as needed.

Once these TPS goals were defined, the Consolidated Framework for Implementation Research (CFIR) guided the implementation. CFIR is a theory-based implementation framework consisting of 5 domains: intervention characteristics, inner setting, outer setting, characteristics of individuals, and process. These domains were used to identify barriers and facilitators during the early implementation process and helped refine TPS as it was put into clinical practice.

Patient Selection

During the initial implementation of TPS, enrollment was limited to patients scheduled for elective primary or revision knee, hip, or shoulder replacement as well as rotator cuff repair surgery. But as the TPS workflow became established after iterative refinement, we expanded the program to enroll patients with established risk factors for OUD having other types of surgery (Table 1). The diagnosis of risk factors, such as history of SUD, chronic opioid use, or significant mental health disorders (ie, history of suicidal ideation or attempt, posttraumatic stress disorder, and inpatient psychiatric care) were confirmed through both in-person interviews and electronic health record (EHR) documentation. The overall goal was to identify all at-risk patients as soon as they were indicated for surgery, to allow time for evaluation, education, developing an individualized pain plan, and opioid taper prior to surgery if indicated.

Preoperative Procedures

Once identified, patients were contacted by a TPS team member and invited to attend a onetime 90-minute presurgical expectations class held at SLCVAMC. The education curriculum was developed by the whole team, and classes were taught primarily by the TPS psychologist. The class included education about expectations for postoperative pain, available analgesic therapies, opioid education, appropriate use of opioids, and the effect of psychological factors on pain. Pain coping strategies were introduced using a mindfulness-based intervention (MBI) and the Acceptance and Commitment Therapy (ACT) matrix. Classes were offered multiple times a week to help maximize convenience for patients and were separate from the anesthesia preoperative evaluation. Patients attended class only once. High-risk patients (patients with chronic opioid therapy, recent history of or current SUDs, significant comorbid mental health issues) were encouraged to attend this class one-on-one with the TPS psychologist rather than in the group setting, so individual attention to mental health and SUD issues could be addressed directly. For patients who were unable to or who chose not to attend the class, the basic education component of the class without the MBI and ACT matrix was provided by nurse care coordinators and/or the anesthesiologist/NP individually before surgery either during the anesthesia preoperative visit or in the same-day surgery unit on the day of surgery.

 

 

Baseline history, morphine equivalent daily dose (MEDD), and patient-reported outcomes using measures from the Patient-Reported Outcome Measurement System (PROMIS) for pain intensity (PROMIS 3a), pain interference (PROMIS 6b), and physical function (PROMIS 8b), and a pain-catastrophizing scale (PCS) score were obtained on all patients.18 PROMIS measures are validated questionnaires developed with the National Institutes of Health to standardize and quantify patient-reported outcomes in many domains.19 Patients with a history of SUD or COU met with the anesthesiologist and/or NP, and a personalized pain plan was developed that included preoperative opioid taper, buprenorphine use strategy, or opioid-free strategies.

Hospital Procedures

On the day of surgery, the TPS team met with the patient preoperatively and implemented an individualized pain plan that included multimodal analgesic techniques with nonsteroidal anti-inflammatory drugs, acetaminophen, gabapentinoids, and regional anesthesia, where appropriate (Table 2). Enhanced recovery after surgery protocols were developed in conjunction with the surgeons to include local infiltration analgesia by the surgeon, postoperative multimodal analgesic strategies, and intensive physical therapy starting the day of surgery for inpatient procedures.

After surgery, the TPS team followed up with patients daily and provided recommendations for analgesic therapies. Patients were offered daily sessions with the psychologist to reinforce and practice nonpharmacologic pain-coping strategies, such as meditation and relaxation. Prior to patient discharge, the TPS team provided recommendations for discharge medications and an opioid taper plan. For some patients taking buprenorphine before surgery who had stopped this therapy prior to or during their hospital stay, TPS providers transitioned them back to buprenorphine before discharge.

Postoperative Procedures

Patients were called by the nurse care coordinators at postdischarge days 2, 7, 10, 14, 21, 28, and then monthly for ≥ 6 months. For patients who had not stopped opioid use or returned to their preoperative baseline opioid dose, weekly calls were made until opioid taper goals were achieved. At each call, nurses collected PROMIS scores for the previous 24 hours, the most recent 24-hour MEDD, the date of last opioid use, and the number of remaining opioid tablets after opioid cessation. In addition, nurses provided active listening and supportive care and encouragement as well as care coordination for issues related to rehabilitation facilities, physical therapy, transportation, medication questions, and wound questions. Nurses notified the anesthesiologist or NP when patients were unable to taper opioid use or had poor pain control as indicated by their PROMIS scores, opioid use, or directly expressed by the patient.

The TPS team prescribed alternative analgesic therapies, opioid taper plans, and communicated with surgeons and primary care providers if limited continued opioid therapy was recommended. Individual sessions with the psychologist were available to patients after discharge with a focus on ACT-matrix therapy and consultation with long-term mental health and/or substance abuse providers as indicated. Frequent communication and care coordination were maintained with the surgical team, the PCP, and other providers on the mental health or chronic pain services. This care coordination often included postsurgical joint clinic appointments in which TPS providers and nurses would be present with the surgeon or the PCP.

For patients with inadequately treated chronic pain conditions or who required long-term opioid tapers, we developed a combined clinic with the TPS and Anesthesia Chronic Pain group. This clinic allows patients to be seen by both services in the same setting, allowing a warm handoff by TPS to the chronic pain team.

 

 

Heath and Decision Support Tools 

An electronic dashboard registry of surgical episodes managed by TPS was developed to achieve clinical, administrative, and quality improvement goals. The dashboard registry consists of surgical episode data, opioid doses, patient-reported outcomes, and clinical decision-making processes. Custom-built note templates capture pertinent data through embedded data labels, called health factors. Data are captured as part of routine clinical care, recorded in Computerized Patient Record System as health factors. They are available in the VA Corporate Data Warehouse as structured data. Workflows are executed daily to keep the dashboard registry current, clean, and able to process new data. Information displays direct daily clinical workflow and support point-of-care clinical decision making (Figures 2, 3, and 4). Data are aggregated across patient-care encounters and allow nurse care coordinators to concisely review pertinent patient data prior to delivering care. These data include surgical history, comorbidities, timeline of opioid use, and PROMIS scores during their course of recovery. This system allows TPS to optimize care delivery by providing longitudinal data across the surgical episode, thereby reducing the time needed to review records. Secondary purposes of captured data include measuring clinic performance and quality improvement to improve care delivery.

Results

The TPS intervention was implemented January 1, 2018. Two-hundred thirteen patients were enrolled between January and December 2018, which included 60 (28%) patients with a history of chronic opioid use and 153 (72%) patients who were considered opioid naïve. A total of 99% of patients had ≥ 1 successful follow-up within 14 days after discharge, 96% had ≥ 1 follow-up between 14 and 30 days after surgery, and 72% had completed personal follow-up 90 days after discharge (Table 3). For patients who TPS was unable to contact in person or by phone, 90-day MEDD was obtained using prescription and Controlled Substance Database reviews. The protocol for this retrospective analysis was approved by the University of Utah Institutional Review Board and the VA Research Review Committee.

By 90 days after surgery, 26 (43.3%) COUs were off opioids completely, 17 (28.3%) had decreased their opioid dose from their preoperative baseline MEDD (120 [SD, 108] vs 55 [SD, 45]), 14 (23.3%) returned to their baseline dose, and 3 (5%) increased from their baseline dose. Of the 153 patients who were NOUs before surgery, only 1 (0.7%) was taking opioids after 90 days. TPS continued to work closely with the patient and their PCP and that patient was finally able to stop opioid use 262 days after discharge. Ten patients had an additional surgery within 90 days of the initial surgery. Of these, 6 were COU, of whom 3 stopped all opioids by 90 days from their original surgery, 2 had no change in MEDD at 90 days, and 1 had a lower MEDD at 90 days. Of the 4 NOU who had additional surgery, all were off opioids by 90 days from the original surgery.



Although difficult to quantify, a meaningful outcome of TPS has been to improve satisfaction substantially among health care providers caring for complex patients at risk for chronic opioid abuse. This group includes the many members of the surgical team, PCPs, and addiction specialists who appreciate the close care coordination and assistance in caring for patients with difficult issues, especially with opioid tapers or SUDs. We also have noticed changes in prescribing practices among surgeons and PCPs for their patients who are not part of TPS.

 

 

Discussion

With any new clinical service, there are obstacles and challenges. TPS requires a considerable investment in personnel, and currently no mechanism is in place for obtaining payment for many of the provided services. We were fortunate the VA Whole Health Initiative, the VA Office of Rural Health, and the VA Centers of Innovation provided support for the development, implementation, and pilot evaluation of TPS. After we presented our initial results to hospital leadership, we also received hospital support to expand TPS service to include a total of 4 nurse care coordinators and 2 psychologists. We are currently performing a cost analysis of the service but recognize that this model may be difficult to reproduce at other institutions without a change in reimbursement standards.

Developing a working relationship with the surgical and primary care services required a concerted effort from the TPS team and a number of months to become effective. As most veterans receive primary care, mental health care, and surgical care within the VA system, this model lends itself to close care coordination. Initially there was skepticism about TPS recommendations to reduce opioid use, especially from PCPs who had cared for complex patients over many years. But this uncertainty went away as we showed evidence of close patient follow-up and detailed communication. TPS soon became the designated service for both primary care and surgical providers who were otherwise uncomfortable with how to approach opioid tapers and nonopioid pain strategies. In fact, a substantial portion of our referrals now come directly from the PCP who is referring a high-risk patient for evaluation for surgery rather than from the surgeons, and joint visits with TPS and primary care have become commonplace.

Challenges abound when working with patients with substance abuse history, opioid use history, high anxiety, significant pain catastrophizing, and those who have had previous negative experiences with surgery. We have found that the most important facet of our service comes from the amount of time and effort team members, especially the nurses, spend helping patients. Much of the nurses' work focuses on nonpain-related issues, such as assisting patients with finding transportation, housing issues, questions about medications, help scheduling appointments, etc. Through this concerted effort, patients gain trust in TPS providers and are willing to listen to and experiment with our recommendations. Many patients who were initially extremely unreceptive to the presurgery education asked for our support weeks after surgery to help with postsurgery pain.

Another challenge we continue to experience comes from the success of the program. We receive many requests from PCPs to help with opioid tapers and pain management for nonsurgical patients. Although we are happy that they look to TPS for assistance, the pressure to expand threatens our ability to maintain the expected quality of work we are trying to provide for surgical patients.

Conclusions

The multidisciplinary TPS supports greater preoperative to postoperative longitudinal care for surgical patients. This endeavor has resulted in better patient preparation before surgery and improved care coordination after surgery, with specific improvements in appropriate use of opioid medications and smooth transitions of care for patients with ongoing and complex needs. Development of sophisticated note templates and customized health information technology allows for accurate follow-through and data gathering for quality improvement, facilitating data-driven improvements and proving value to the facility.

 

 

Given that TPS is a multidisciplinary program with multiple interventions, it is difficult to pinpoint which specific aspects of TPS are most effective in achieving success. For example, although we have little doubt that the work our psychologists do with our patients is beneficial and even essential for the success we have had with some of our most difficult patients, it is less clear whether it matters if they use mindfulness, ACT matrix, or cognitive behavioral therapy. We think that an important part of TPS is the frequent human interaction with a caring individual. Therefore, as TPS continues to grow, maintaining the ability to provide frequent personal interaction is a priority.

The role of opioids in acute pain deserves further scrutiny. In 2018, with TPS use of opioids after orthopedic surgery decreased by > 40% from the previous year. Despite this more restricted use of opioids, pain interference and physical function scores indicated that surgical patients do not seem to experience increased pain or reduced physical function. In addition, stopping opioid use for COUs did not seem to affect the quality of recovery, pain, or physical function. Future prospective controlled studies of TPS are needed to confirm these findings and identify which aspects of TPS are most effective in improving functional recovery of patients. Also, more evidence is needed to determine the appropriateness or need for opioids in acute postsurgical pain.

TPS has expanded to include all surgical specialties. Given the high burden and limited resources, we have chosen to focus on patients at higher risk for chronic postsurgical pain by type of surgery (eg, thoracotomy, open abdominal, limb amputation, major joint surgery) and/or history of substance abuse or chronic opioid use. To better direct scarce resources where it would be of most benefit, we are now enrolling only NOUs without other risk factors postoperatively if they request a refill of opioids or are otherwise struggling with pain control after surgery. Whether this approach affects the success we had in the first year in preventing new COUs after surgery remains to be seen.

It is unlikely that any single model of a perioperative surgical home will fit the needs of the many different types of medical systems that exist. The TPS model fits well in large hospital systems, like the VA, where patients receive most of their care within the same system. However, it seems to us that the optimal TPS program in any health system will provide education, support, and care coordination beginning preoperatively to prepare the patient for surgery and then to facilitate care coordination to transition patients back to their PCPs or on to specialized chronic care.

Acknowledgments

We would like to acknowledge the contributions of Candice Harmon, RN; David Merrill, RN; Amy Beckstead, RN, who have provided invaluable assistance with establishing the TPS program at the VA Salt Lake City and helping with the evaluation process.

Funding for the implementation and evaluation of the TPS was received from the VA Whole Health Initiative, the VA Center of Innovation, the VA Office of Rural Health, and National Institutes of Health Grant UL1TR002538.

References

1. Ilfeld BM, Madison SJ, Suresh PJ. Persistent postmastectomy pain and pain-related physical and emotional functioning with and without a continuous paravertebral nerve block: a prospective 1-year follow-up assessment of a randomized, triple-masked, placebo-controlled study. Ann Surg Oncol. 2015;22(6):2017-2025. doi:10.1245/s10434-014-4248-7

2. Richebé P, Capdevila X, Rivat C. Persistent postsurgical pain. Anesthesiology. 2018;129(3):590-607. doi:10.1097/aln.0000000000002238

3. Glare P, Aubrey KR, Myles PS. Transition from acute to chronic pain after surgery. Lancet. 2019;393(10180):1537-1546. doi:10.1016/s0140-6736(19)30352-6

4. Brummett CM, Waljee JF, Goesling J, et al. New persistent opioid use after minor and major surgical procedures in US adults. JAMA Surgery. 2017;152(6):e170504-e170504. doi:10.1001/jamasurg.2017.0504

5. Swenson CW, Kamdar NS, Seiler K, Morgan DM, Lin P, As-Sanie S. Definition development and prevalence of new persistent opioid use following hysterectomy. Am J Obstet Gynecol. 2018;219(5):486.e1-486.e7. doi:10.1016/j.ajog.2018.06.010

6. Bartels K, Fernandez-Bustamante A, McWilliams SK, Hopfer CJ, Mikulich-Gilbertson SK. Long-term opioid use after inpatient surgery - a retrospective cohort study. Drug Alcohol Depend. 2018;187:61-65. doi:10.1016/j.drugalcdep.2018.02.013

7. Bedard N, DeMik D, Dowdle S, Callaghan J. Trends and risk factors for prolonged opioid use after unicompartmental knee arthroplasty. Bone Joint J. 2018;100-B(1)(suppl A):62-67. doi:10.1302/0301-620x.100b1.bjj-2017-0547.r1

8. Politzer CS, Kildow BJ, Goltz DE, Green CL, Bolognesi MP, Seyler T. Trends in opioid utilization before and after total knee arthroplasty. J Arthroplasty. 2018;33(7S):S147-S153.e1. doi:10.1016/j.arth.2017.10.060

9. Mariano ER, Walters TL, Kim ET, Kain ZN. Why the perioperative surgical home makes sense for Veterans Affairs health care. Anesth Analg. 2015;120(5):1163-1166. doi:10.1213/ane.0000000000000712

10. Walters TL, Howard SK, Kou A, et al. Design and implementation of a perioperative surgical home at a Veterans Affairs hospital. Semin Cardiothorac Vasc Anesth. 2016;20(2):133-140. doi:10.1177/1089253215607066

11. Walters TL, Mariano ER, Clark DJ. Perioperative surgical home and the integral role of pain medicine. Pain Med. 2015;16(9):1666-1672. doi:10.1111/pme.12796

12. Vetter TR, Kain ZN. Role of the perioperative surgical home in optimizing the perioperative use of opioids. Anesth Analg. 2017;125(5):1653-1657. doi:10.1213/ane.0000000000002280

13. Shafer SL. Anesthesia & Analgesia’s 2015 collection on the perioperative surgical home. Anesth Analg. 2015;120(5):966-967. doi:10.1213/ane.0000000000000696

14. Wenzel JT, Schwenk ES, Baratta JL, Viscusi ER. Managing opioid-tolerant patients in the perioperative surgical home. Anesthesiol Clin. 2016;34(2):287-301. doi:10.1016/j.anclin.2016.01.005

15. Katz J, Weinrib A, Fashler SR, et al. The Toronto General Hospital Transitional Pain Service: development and implementation of a multidisciplinary program to prevent chronic postsurgical pain. J Pain Res. 2015;8:695-702. doi:10.2147/jpr.s91924

16. Tiippana E, Hamunen K, Heiskanen T, Nieminen T, Kalso E, Kontinen VK. New approach for treatment of prolonged postoperative pain: APS Out-Patient Clinic. Scand J Pain. 2016;12(1):19-24. doi:10.1016/j.sjpain.2016.02.008

17. Katz J, Weinrib AZ, Clarke H. Chronic postsurgical pain: from risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service. Can J Pain. 2019;3(2):49-58. doi:10.1080/24740527.2019.1574537

18. Sullivan MJ, Bishop SR, Pivik J. The Pain Catastrophizing Scale: development and validation. Psychol Assess. 1995;7(4):524-532. doi:10.1037/1040-3590.7.4.524

19. HealthMeasures. Intro to PROMIS. https://www.healthmeasures.net/explore-measurement-systems/promis. Accessed September 28, 2020.

References

1. Ilfeld BM, Madison SJ, Suresh PJ. Persistent postmastectomy pain and pain-related physical and emotional functioning with and without a continuous paravertebral nerve block: a prospective 1-year follow-up assessment of a randomized, triple-masked, placebo-controlled study. Ann Surg Oncol. 2015;22(6):2017-2025. doi:10.1245/s10434-014-4248-7

2. Richebé P, Capdevila X, Rivat C. Persistent postsurgical pain. Anesthesiology. 2018;129(3):590-607. doi:10.1097/aln.0000000000002238

3. Glare P, Aubrey KR, Myles PS. Transition from acute to chronic pain after surgery. Lancet. 2019;393(10180):1537-1546. doi:10.1016/s0140-6736(19)30352-6

4. Brummett CM, Waljee JF, Goesling J, et al. New persistent opioid use after minor and major surgical procedures in US adults. JAMA Surgery. 2017;152(6):e170504-e170504. doi:10.1001/jamasurg.2017.0504

5. Swenson CW, Kamdar NS, Seiler K, Morgan DM, Lin P, As-Sanie S. Definition development and prevalence of new persistent opioid use following hysterectomy. Am J Obstet Gynecol. 2018;219(5):486.e1-486.e7. doi:10.1016/j.ajog.2018.06.010

6. Bartels K, Fernandez-Bustamante A, McWilliams SK, Hopfer CJ, Mikulich-Gilbertson SK. Long-term opioid use after inpatient surgery - a retrospective cohort study. Drug Alcohol Depend. 2018;187:61-65. doi:10.1016/j.drugalcdep.2018.02.013

7. Bedard N, DeMik D, Dowdle S, Callaghan J. Trends and risk factors for prolonged opioid use after unicompartmental knee arthroplasty. Bone Joint J. 2018;100-B(1)(suppl A):62-67. doi:10.1302/0301-620x.100b1.bjj-2017-0547.r1

8. Politzer CS, Kildow BJ, Goltz DE, Green CL, Bolognesi MP, Seyler T. Trends in opioid utilization before and after total knee arthroplasty. J Arthroplasty. 2018;33(7S):S147-S153.e1. doi:10.1016/j.arth.2017.10.060

9. Mariano ER, Walters TL, Kim ET, Kain ZN. Why the perioperative surgical home makes sense for Veterans Affairs health care. Anesth Analg. 2015;120(5):1163-1166. doi:10.1213/ane.0000000000000712

10. Walters TL, Howard SK, Kou A, et al. Design and implementation of a perioperative surgical home at a Veterans Affairs hospital. Semin Cardiothorac Vasc Anesth. 2016;20(2):133-140. doi:10.1177/1089253215607066

11. Walters TL, Mariano ER, Clark DJ. Perioperative surgical home and the integral role of pain medicine. Pain Med. 2015;16(9):1666-1672. doi:10.1111/pme.12796

12. Vetter TR, Kain ZN. Role of the perioperative surgical home in optimizing the perioperative use of opioids. Anesth Analg. 2017;125(5):1653-1657. doi:10.1213/ane.0000000000002280

13. Shafer SL. Anesthesia & Analgesia’s 2015 collection on the perioperative surgical home. Anesth Analg. 2015;120(5):966-967. doi:10.1213/ane.0000000000000696

14. Wenzel JT, Schwenk ES, Baratta JL, Viscusi ER. Managing opioid-tolerant patients in the perioperative surgical home. Anesthesiol Clin. 2016;34(2):287-301. doi:10.1016/j.anclin.2016.01.005

15. Katz J, Weinrib A, Fashler SR, et al. The Toronto General Hospital Transitional Pain Service: development and implementation of a multidisciplinary program to prevent chronic postsurgical pain. J Pain Res. 2015;8:695-702. doi:10.2147/jpr.s91924

16. Tiippana E, Hamunen K, Heiskanen T, Nieminen T, Kalso E, Kontinen VK. New approach for treatment of prolonged postoperative pain: APS Out-Patient Clinic. Scand J Pain. 2016;12(1):19-24. doi:10.1016/j.sjpain.2016.02.008

17. Katz J, Weinrib AZ, Clarke H. Chronic postsurgical pain: from risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service. Can J Pain. 2019;3(2):49-58. doi:10.1080/24740527.2019.1574537

18. Sullivan MJ, Bishop SR, Pivik J. The Pain Catastrophizing Scale: development and validation. Psychol Assess. 1995;7(4):524-532. doi:10.1037/1040-3590.7.4.524

19. HealthMeasures. Intro to PROMIS. https://www.healthmeasures.net/explore-measurement-systems/promis. Accessed September 28, 2020.

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Penicillin Allergy Delabeling Can Decrease Antibiotic Resistance, Reduce Costs, and Optimize Patient Outcomes

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Antibiotics are one of the most frequently prescribed medications in both inpatient and outpatient settings.1,2 More than 266 million courses of antibiotics are prescribed annually in the outpatient setting; 49.9% of hospitalized patients were prescribed ≥ 1 antibiotic during their hospitalization.1,2 Among all classes of antibiotics, penicillins are prescribed due to their clinical efficacy, cost-effectiveness, and general safety for all ages. Unfortunately, penicillins also are the most common drug allergy listed in medical records. Patients with this allergy are consistently treated with broad-spectrum antibiotics, have more antibiotic resistant infections, incur higher health care costs, and experience more adverse effects (AEs).3,4

Drug allergies are distinguished by different immune mechanisms, including IgE-mediated reaction, T-lymphocyte-mediated mild skin reactions, and severe cutaneous adverse reactions (SCAR), or other systemic immune syndromes, such as hemolytic anemia, nephritis, and rash with eosinophilia.3 Although drug allergies should be a concern, compelling evidence shows that > 90% of patients labeled with a penicillin allergy are not allergic to penicillins (and associated β-lactams).3,4 Although this evidence is growing, clinicians still hesitate to prescribe penicillin, and patients are similarly anxious to take them. This article reviews the health care consequences of penicillin allergy and the application of this information to military medicine and readiness.

Penicillin Allergy Prevalence

Since their approval for public use in 1945, penicillins have been one of the most often prescribed antibiotics due to their clinical efficacy for many types of infections.3 However, 8 to 10% of the US population and up to 15% of hospitalized patients have a documented penicillin allergy, which limits the ability to use these effective antibiotics.3,4 Once a patient is labeled with a penicillin allergy, many clinicians avoid prescribing all β-lactam antibiotics to patients. Clinicians also avoid prescribing cephalosporins due to the concern for potential cross-reactivity (at a rate of about 2%, which is lower than previously reported).3 These reported allergies are often not clear and range from patients avoiding penicillins because their parents exhibited allergies, they had a symptom that was not likely allergic (ie, nausea, headache, itching with no rash), being told by their parents that they had a rash as a child, or experiencing severe anaphylaxis or other systemic reaction.3,4 Despite the high rates of documented penicillin allergy, studies now show that most patients do not have a serious allergy; < 1% of the population has a true immune-mediated penicillin allergy.3,4

 

Broad-Spectrum Antibiotic Risks

Even though penicillin allergies are often not confirmed, many patients are treated with alternative antibiotics. Unfortunately, most alternative antibiotics are not as effective or as safe as penicillin.3,4 Twenty percent of hospitalized patients will experience an AE related to their antibiotic; 19.3% of emergency department visits for adverse drug reactions (ADRs) are from antibiotics.5,6 Sulfonamides, clindamycin, and quinolones were the antibiotics most commonly associated with AEs.6

In a large database study over a 3-year period, > 400,000 hospitalizations were analyzed in patients matched for admission type, with and without a penicillin allergy in their medical record.7 Those with a documented penicillin allergy had longer hospitalizations; were treated with broad-spectrum antibiotics; and had increased rates of Clostridium difficile (C difficile), methicillin-resistant Staphylococcus aureus (MRSA), and vancomycin-resistant Enterococcus (VRE).7,8 In addition to being first-line treatment for many common infections, penicillins often are used for dental, perinatal, and perioperative prophylaxis.1,3 Nearly 25 million antibiotics are prescribed annually by dentists.1 If a patient has a penicillin allergy listed in their medical record, they will inevitably receive a second- or third-line treatment that is less effective and has higher risks. Common alternative antibiotics include clindamycin, fluoroquinolones, macrolides, and vancomycin.3,7,8

Clindamycin and fluoroquinolones are associated with C difficile infections.9,10 Fluoroquinolones come with a boxed warning for known serious ADRs, including tendon rupture, peripheral neuropathy, central nervous system effects, and are known for causing cardiac reactions such as QT prolongation, life-threatening arrhythmias, and cardiovascular death.11,12 Fluoroquinolones are associated with an increased risk for VRE and MRSA, in more than any other antibiotic classes.3,7,12,13

Macrolides, such as azithromycin and clarithromycin, are another common class of antibiotics used as an alternative for penicillins. Both are used frequently for upper respiratory infections. Known ADRs to macrolides include gastrointestinal adverse effects (AEs) (ie, nausea, vomiting, diarrhea, and abdominal pain), liver toxicity (ie, abnormal liver function tests, hepatitis, and liver failure), and cardiac risks (ie, QT prolongation and sudden death). When compared with amoxicillin, there was an increased risk for cardiovascular mortality in those patients receiving macrolides.14,15

Vancomycin is known for its potential to cause “red man syndrome,” an infusion-related reaction causing redness and itching as well as nephrotoxic and hematologic effects requiring close monitoring.3 Vancomycin is less effective than methicillin in clearing MRSA or other sensitive pathogens; however, vancomycin is used in patients with a penicillin allergy label.16-18 Intrapartum antibiotic use of vancomycin for group B streptococcus infection was associated with clinically significant morbidity and ADRs.19,20 Perioperatively, patients with penicillin allergies developed more surgical site infections due to the use of second-line antibiotics, such as vancomycin or others.21

 

 

Cost of Penicillin Allergies

Penicillin allergy plays an important role in rising health care costs. In 2017, health care spending reached 17.9% of the gross domestic product.22 Macy and Contreras demonstrated the significantly higher costs associated with having a reported (and unverified) penicillin allergy in a matched cohort study. Inferred for the extra hospital use, the penicillin allergy group cost the health care system $64,626,630 more than for the group who did not have a penicillin allergy label.7 A subsequent study by Macy and Contreras of both inpatient and outpatient settings showed a potential savings of $2,000 per patient per year in health care expenses with the testing and delabeling of penicillin allergies.23 Use of newer and broad-spectrum antibiotics also are more costly and contribute to higher health care costs.24

When these potential savings are applied to the military insurance population of 9.4 million beneficiaries (TRICARE, including active duty, their dependents, and all retirees participating in the program), the results showed that this could impart a savings of nearly $1.7 billion annually, using the model by Macy and Contreras.23,25,26

Previously with colleagues, I reviewed penicillin’s role in military history, compiled data from relevant studies from military penicillin allergy rates and delabeling efforts, and calculated the potential economic impact of penicillin allergies along with the benefits of testing.26 Calculations were estimated using the TRICARE beneficiary population (9.4 million) × the estimated prevalence (10%) to get an estimate of 940,000 TRICARE patients with penicillin allergy in their medical record.25 If 90% of those patients were delabeled, this would equal 846,000 TRICARE patients. When multiplied by the potential savings of $2,000 per patient per year, the estimated savings would be $1,692,000,000 annually.23,26

Current literature provides compelling evidence that all health care plans should use penicillin allergy testing and delabeling programs.3,23,26 As most patients with a history of penicillin allergy in their medical records do not have a verified allergy, delabeling those who do not have a true allergy will have individual, public health, and cost benefits.3,7,23,26

Antibiotic Stewardship

Antibiotic stewardship programs are now mandated to combat antibiotic resistance.3,27 This program is supported by major medical organizations, including the Centers for Disease Control and Prevention, Society for Healthcare Epidemiology of America, Infectious Disease Society of America, and the American Academy of Allergy Asthma and Immunology.3 Given the role of broad-spectrum antibiotics in antibiotic resistance, penicillin allergy testing and delabeling is an important component of these programs.3

In the US, > 2 million people acquire antibiotic resistant infections annually; 23,000 people die of these infections.27 More than 250,000 illnesses and 14,000 deaths annually are due to C difficile.27 There are many factors contributing to the increase in antibiotic resistance; however, one established and consistent factor is the use of broad-spectrum antibiotics. Further, broad-spectrum antibiotics are often used when first-line agents, such as penicillins, cannot be used due to a reported “allergy.” In addition, there are fewer novel antibiotics being developed, and as they are introduced, pathogens develop resistance to these new agents.27

 

 

Military Relevance

Infectious diseases have always accompanied military activity.28-30 Despite preventive programs such as vaccinations, hygiene measures, and prophylactic antibiotics, military personnel are at increased risk for infections due to the military’s mobile nature and crowded living situations.28-30 This situation has operational relevance from basic training, deployments, and combat operations to peacetime activities.

Military recruits are treated routinely with penicillin G benzathine as standard prophylaxis against streptococcal infections.26,30 A recent study by the Marine Corps Recruiting Depot in San Diego, California showed that in a cohort of 402 young healthy male recruits, only 5 (1.5%) had a positive reaction to penicillin testing and challenge over a 21-month period.31 The delabeled other 397 (98.5%) marine recruits were able to receive benzathine penicillin prophylaxis successfully.31 Recruits with a penicillin allergy who had a positive test or were not tested received azithromycin (or erythromycin at some recruit training locations).26,31 Military members may need to operate in remote or austere locations; the ability to use penicillins is important for readiness.

Evaluation and Management of Reported Penicillin Allergy

Verifying penicillin allergies is an important first step in optimizing medical care and decreasing resistance and ADRs.3,4,32,33 Although allergists can provide specialized evaluation, due to the high prevalence of penicillin allergy in the US, all health care team members, including clinicians and pharmacists, should be educated about penicillin allergies and be able to implement evaluations in both inpatient and outpatient settings. Reactions to any of the penicillins should be considered, including the natural penicillins (penicillin V, etc), antistaphylococcal penicillins (dicloxacillin), aminopenicillins (amoxicillin and ampicillin), and extended-spectrum penicillins (piperacillin).3 A thorough history, including the prior reaction (age, type of reaction) and subsequent tolerance are helpful in stratifying patients.3,26

 

Patient Risk Levels

Based on the clinical history, patients would fall into 4 categories from low risk, medium risk, high risk, to do not test/use.3,32,33 Low-risk patients are those who report mild or nonallergic symptoms (ie, gastrointestinal symptoms, headache, yeast infection, etc), remote cutaneous reactions (> 10 years), or in those with a family history of penicillin allergy.3,32,33 Low-risk patients often can be safely tested with an oral challenge. Although there are different approaches to the oral challenge, a single amoxicillin dose of 250 mg followed by 1 hour of direct monitoring is usually sufficient.3,32,33

Medium-risk patients have a more recent (< 1 year) history of pruritic rashes, urticaria, and/or angioedema without a history of severe or systemic reactions. These patients benefit from negative skin testing prior to an oral challenge, which can be performed by trained clinicians or pharmacists or an allergist. However, due to limited availability of skin testing and the potential for false positive testing with skin tests, a single dose or graded challenge would be a reasonable approach as well.3,32,33

High-risk patients are those with severe symptoms (anaphylaxis), a history of reactions to other β-lactam antibiotics, and/or recurrent reactions to antibiotics. These patients benefit from a formal evaluation by an allergist and skin testing prior to challenge.3,32,33 Testing and/or challenge should not be performed in patients who report a history of severe cutaneous reactions (blistering rash, such as Stevens Johnson syndrome), hemolytic anemia, serum sickness, drug fever, and other organ dysfunction.3,4,31,32



The Figure describes a published questionnaire, personnel, resources, and procedures for penicillin delabeling.26 Although skin testing is reliable in revealing a immunoglobulin E-mediated penicillin allergy, there is potential for false positives.32,33 The oral amoxicillin challenge effectively clears the patient for future penicillin administration.3,32-34 In high-risk patients, desensitization should be considered if penicillins (or cephalosporins) are required as first-line treatment. A test dose (one-tenth dose, higher or lower depending on route of administration, historic reaction, clinical status, and level of certainty of prior reaction) may be considered in low- to moderate-risk patients, depending on the indication for the use of the antibiotics.32

Penicillin evaluation pathways can occur in both inpatient and outpatient settings where antibiotics will be prescribed.32-34 There are several proposed pathways, including a screening questionnaire to determine the penicillin allergy risk.26,32,33 Implementation of perioperative testing has been successful in decreasing the rates of vancomycin use and lessening the morbidity associated with use of second-line antibiotics.35 Many hospitals throughout the country have implemented standardized penicillin delabeling programs.3,32-34

 

 

Conclusions

Penicillin allergies are an important barrier to effective antibiotic treatments and are associated with worse outcomes and higher economic costs.3,7,23,26,34 Therefore, in addition to vaccinations, infection control measures, and public health education, penicillin allergy verification and delabeling programs should be a proactive component of military medical readiness and all antibiotic stewardship initiatives in all health care settings.29 Given the many issues and negative impact of having a penicillin allergy label, penicillin delabeling will allow service members to be treated with the necessary antibiotics with fewer adverse complications, and return them to health and readiness for operational duties. In the current standardization of the Defense Health Agency, implementing this program across all services would have significant clinical, public health, and cost benefits for patients, the health care team, taxpayers, and the community at large.

Many patients report an allergy to penicillin, but only a small portion have a current true immune-mediated allergy. Given the clinical, public health, and economic costs associated with a penicillin allergy label, evaluation and clearance of penicillin allergies is a simple method that would improve clinical outcomes, decrease AEs to high-risk alternative broad-spectrum antibiotics, and prevent the spread of antibiotic resistance. In the military, penicillin delabeling improves readiness with optimal antibiotic options and avoidance of unnecessary risks of using alternative antibiotics, expediting return to full duty for military personnel.

References

1. Centers for Disease Control and Prevention. Outpatient antibiotic prescriptions-United States, 2014. https://www.cdc.gov/antibiotic-use/community/pdfs/annual-reportsummary_2014.pdf. Accessed August 15, 2020.

2. Magill SS, Edwards JR, Beldavs ZG, et al. Prevalence of antimicrobial use in US acute care hospitals, May-September 2011. JAMA. 2014;312(14):1438-1446. doi:10.1001/jama.2014.12923

3. Shenoy ES, Macy E, Rowe T, Blumenthal KG. Evaluation and management of penicillin allergy. JAMA. 2019;321:188-199. doi:10.1001/jama.2018.19283

4. Har D, Solensky R. Penicillin and beta-lactam hypersensitivity. Immunol Allergy Clin North Am. 2017;37(4):643-662. doi:10.1016/j.iac.2017.07.001

5. Tamma PD, Avdic E, Li DX, Dzintars K, Cosgrove SE. Association of adverse events with antibiotic use in hospitalized patients. JAMA Intern Med. 2017;177(9):1308-1315. doi:10.1001/jamainternmed.2017.1938

6. Shebab N, Patel PR, Srinivasan A, Budnitz DS. Emergency department visits for antibiotic-associated adverse events. Clin Infect Dis. 2008;47(6):735-743. doi:10.1086/591126

7. Macy E, Contreras R. Healthcare use and serious infection prevalence associated with penicillin “allergy” in hospitalized patients: a cohort study. J Allergy Clin Immunol. 2014;133(3):790-796. doi:10.1016/j.jaci.2013.09.021

8. Blumenthal KG, Lu N, Zhang Y, Li Y, Walensky RP, Choi HK. Risk of methicillin resistant Staphylococcal aureus and Clostridium difficile in patients with a documented penicillin allergy: population-based matched cohort study. BMJ. 2018;361:k2400. doi:10.1136/bmj.k2400

9. Loo VG, Poirier L, Miller MA, et al. A predominantly clonal multi-institutional outbreak of Clostridium difficile associated diarrhea with high morbidity and mortality. N Engl J Med. 2005;353(23):2442-2449. doi:10.1056/NEJMoa051639

10. Pepin J, Saheb N, Coulombe MA, et al. Emergence of fluoroquinolone as the predominant risk factor for Clostridium difficile-associated diarrhea: a cohort study during an epidemic in Quebec. Clin Infect Dis. 2005;41(9):1254-1260. doi:10.1086/496986

11. Chou HW, Wang JL, Chang CH, et al. Risks of cardiac arrhythmia and mortality among patients using new-generation macrolides, fluoroquinolones, and β-lactam/β-lactamase inhibitors: a Taiwanese nationwide study. Clin Infec Dis. 2015;60(4):566-577. doi:10.1093/cid/ciu914

12. Rao GA, Mann JR, Shoaibi A, et al. Azithromycin and levofloxacin use and increased risk of cardiac arrhythmia and death. Ann Fam Med. 2014;12(2):121-127. doi:10.1370/afm.1601

13. LeBlanc L, Pepin J, Toulouse K, et al. Fluoroquinolone and risk for methicillin-resistant Staphylococcus aureus, Canada. Emerg Infect Dis. 2006;12(9):1398-1405. doi:10.3201/eid1209.060397

14. Schembri S, Williamson PA, Short PM, et al. Cardiovascular events after clarithromycin use in lower respiratory tract infections: analysis of two prospective cohort studies. BMJ. 2013;346:f1245. doi:10.1136/bmj.f1235

15. Ray WA, Murray KT, Hall K, Arbogast PG, Stein CM. Azithromycin and the risk of cardiovascular death. N Engl J Med. 2012;366(20):1881-1890. doi:10.1056/NEJMoa1003833

16. McDaniel JS, Perencevich EN, Diekema DJ, et al. Comparative effectiveness of beta-lactams versus vancomycin for treatment of methicillin-susceptible Staphylococcus aureus bloodstream infections among 122 hospitals. Clin Infect Dis. 2015;61(3):361-367. doi:10.1093/cid/civ308

17. Wong D, Wong T, Romney M, Leung V. Comparison of outcomes in patients with methicillin-susceptible Staphylococcus aureus (MSSA) bacteremia who are treated with β-lactam vs vancomycin empiric therapy: a retrospective cohort study. BMC Infect Dis. 2016;16:224. doi:10.1186/s12879-016-1564-5

18. Blumenthal KG, Shenoy ES, Huang M, et al. The impact of reporting a prior penicillin allergy on the treatment of methicillin-sensitivity Staphylococcus aureus bacteremia. PLoS One. 2016;11(7):e0159406. doi:10.1371/journal.pone.0159406

19. Verani JR, McGee L, Schrag SJ; Division of Bacterial Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC). Prevention of perinatal group B streptococcal disease. MMWR Recomm Rep. 2010;59(RR-10):1-36.

20. Desai SH, Kaplan MS, Chen Q, Macy EM. Morbidity in pregnant women associated with unverified penicillin allergies, antibiotic use, and group B Streptococcus infections. Perm J. 2017;21:16-080. doi:10.7812/TPP/16-080

21. Blumenthal KG, Ryan EE, Li Y, Lee H, Kuhlen JL, Shenoy ES. The impact of a reported penicillin allergy on surgical site infection risk. Clin Infect Dis. 2018;66(3):329-336. doi:10.1093/cid/cix794

22. National Health Expenditures 2017 Highlights. Centers for Medicare & Medicaid services. https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/NationalHealthExpendData/Downloads/highlights.pdf. Accessed August 25, 2020.

23. Macy E, Shu YH. The effect of penicillin allergy testing on future health care utilization: a matched cohort study. J Allergy Clin Immunol Pract. 2017;5(3):705-710. doi:10.1016/j.jaip.2017.02.012

24. Picard M, Begin P, Bouchard H, et al. Treatment of patients with a history of penicillin allergy in a large tertiary-care academic hospital. J Allergy Clin Immunol Pract. 2013;1(3):252-257. doi:10.1016/j.jaip.2013.01.006

25. US Department of Defense. Beneficiary population statistics. https://health.mil/I-Am-A/Media/Media-Center/Patient-Population-Statistics. Accessed August 25, 2020.

26. Lee RU, Banks TA, Waibel KH, Rodriguez RG. Penicillin allergy…maybe not? The military relevance for penicillin testing and de-labeling. Mil Med. 2019;184(3-4):e163-e168. doi:10.1093/milmed/usy194

27. Antibiotic resistance threats in the United States, 2013. Centers for Disease Control and Prevention. https://www.cdc.gov/drugresistance/threat-report-2013/index.html. Accessed May 10, 2019.

28. Gray GC, Callahan JD, Hawksworth AW, Fisher CA, Gaydos JC. Respiratory diseases among U.S. military personnel: countering emerging threats. Emerg Infect Dis. 1999;5(3):379-385. doi:10.3201/eid0503.990308

29. Beaumier CM, Gomez-Rubio AM, Hotez PJ, Weina PJ. United States military tropical medicine: extraordinary legacy, uncertain future. PLoS Negl Trop Dis. 2013;7(12):e2448. doi:10.1371/journal.pntd.0002448

30. Thomas RJ, Conwill DE, Morton DE, et al. Penicillin prophylaxis for streptococcal infections in the United States Navy and Marine Corps recruit camps, 1951-1985. Rev Infect Dis. 1988;10(1):125-130. doi:10.1093/clinids/10.1.125

31. Tucker MH, Lomas CM, Ramchandar N, Waldram JD. Amoxicillin challenge without penicillin skin testing in evaluation of penicillin allergy in a cohort of Marine recruits. J Allergy Clin Immunol Pract. 2017;5(3):813-815. doi:10.1016/j.jaip.2017.01.023

32. Blumenthal KG, Shenoy ES, Wolfson AR, et al. Addressing inpatient beta-lactam allergies: a multihospital implementation. J Allergy Clin Immunol Pract. 2017;5(3):616-625. doi:10.1016/j.jaip.2017.02.019

33. Kuruvilla M, Shih J, Patel K, Scanlon N. Direct oral amoxicillin challenge without preliminary skin testing in adult patients with allergy and at low risk with reported penicillin allergy. Allergy Asthma Proc. 2019;40(1):57-61. doi:10.2500/aap.2019.40.4184

34. Banks TA, Tucker M, Macy E. Evaluating penicillin allergies without skin testing. Curr Allergy Asthma Rep. 2019;19(5):27. doi:10.1007/s11882-019-0854-6

35. Park M, Markus P, Matesic D, Li JT. Safety and effectiveness of a preoperative allergy clinic in decreasing vancomycin use in patients with a history of penicillin allergy. Ann Allergy Asthma Immunol. 2006;97(5):681-687.doi:10.1016/S1081-1206(10)61100-3

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Disclaimer
The opinions expressed herein are those of the author and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Disclaimer
The opinions expressed herein are those of the author and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Rachel Lee is a Staff Allergist and Immunologist in the Division of Allergy, Department of Internal Medicine at the Naval Medical Center in San Diego, California.
Correspondence: Rachel Lee ([email protected])

Author disclosures
The author reports no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the author and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Related Articles

Antibiotics are one of the most frequently prescribed medications in both inpatient and outpatient settings.1,2 More than 266 million courses of antibiotics are prescribed annually in the outpatient setting; 49.9% of hospitalized patients were prescribed ≥ 1 antibiotic during their hospitalization.1,2 Among all classes of antibiotics, penicillins are prescribed due to their clinical efficacy, cost-effectiveness, and general safety for all ages. Unfortunately, penicillins also are the most common drug allergy listed in medical records. Patients with this allergy are consistently treated with broad-spectrum antibiotics, have more antibiotic resistant infections, incur higher health care costs, and experience more adverse effects (AEs).3,4

Drug allergies are distinguished by different immune mechanisms, including IgE-mediated reaction, T-lymphocyte-mediated mild skin reactions, and severe cutaneous adverse reactions (SCAR), or other systemic immune syndromes, such as hemolytic anemia, nephritis, and rash with eosinophilia.3 Although drug allergies should be a concern, compelling evidence shows that > 90% of patients labeled with a penicillin allergy are not allergic to penicillins (and associated β-lactams).3,4 Although this evidence is growing, clinicians still hesitate to prescribe penicillin, and patients are similarly anxious to take them. This article reviews the health care consequences of penicillin allergy and the application of this information to military medicine and readiness.

Penicillin Allergy Prevalence

Since their approval for public use in 1945, penicillins have been one of the most often prescribed antibiotics due to their clinical efficacy for many types of infections.3 However, 8 to 10% of the US population and up to 15% of hospitalized patients have a documented penicillin allergy, which limits the ability to use these effective antibiotics.3,4 Once a patient is labeled with a penicillin allergy, many clinicians avoid prescribing all β-lactam antibiotics to patients. Clinicians also avoid prescribing cephalosporins due to the concern for potential cross-reactivity (at a rate of about 2%, which is lower than previously reported).3 These reported allergies are often not clear and range from patients avoiding penicillins because their parents exhibited allergies, they had a symptom that was not likely allergic (ie, nausea, headache, itching with no rash), being told by their parents that they had a rash as a child, or experiencing severe anaphylaxis or other systemic reaction.3,4 Despite the high rates of documented penicillin allergy, studies now show that most patients do not have a serious allergy; < 1% of the population has a true immune-mediated penicillin allergy.3,4

 

Broad-Spectrum Antibiotic Risks

Even though penicillin allergies are often not confirmed, many patients are treated with alternative antibiotics. Unfortunately, most alternative antibiotics are not as effective or as safe as penicillin.3,4 Twenty percent of hospitalized patients will experience an AE related to their antibiotic; 19.3% of emergency department visits for adverse drug reactions (ADRs) are from antibiotics.5,6 Sulfonamides, clindamycin, and quinolones were the antibiotics most commonly associated with AEs.6

In a large database study over a 3-year period, > 400,000 hospitalizations were analyzed in patients matched for admission type, with and without a penicillin allergy in their medical record.7 Those with a documented penicillin allergy had longer hospitalizations; were treated with broad-spectrum antibiotics; and had increased rates of Clostridium difficile (C difficile), methicillin-resistant Staphylococcus aureus (MRSA), and vancomycin-resistant Enterococcus (VRE).7,8 In addition to being first-line treatment for many common infections, penicillins often are used for dental, perinatal, and perioperative prophylaxis.1,3 Nearly 25 million antibiotics are prescribed annually by dentists.1 If a patient has a penicillin allergy listed in their medical record, they will inevitably receive a second- or third-line treatment that is less effective and has higher risks. Common alternative antibiotics include clindamycin, fluoroquinolones, macrolides, and vancomycin.3,7,8

Clindamycin and fluoroquinolones are associated with C difficile infections.9,10 Fluoroquinolones come with a boxed warning for known serious ADRs, including tendon rupture, peripheral neuropathy, central nervous system effects, and are known for causing cardiac reactions such as QT prolongation, life-threatening arrhythmias, and cardiovascular death.11,12 Fluoroquinolones are associated with an increased risk for VRE and MRSA, in more than any other antibiotic classes.3,7,12,13

Macrolides, such as azithromycin and clarithromycin, are another common class of antibiotics used as an alternative for penicillins. Both are used frequently for upper respiratory infections. Known ADRs to macrolides include gastrointestinal adverse effects (AEs) (ie, nausea, vomiting, diarrhea, and abdominal pain), liver toxicity (ie, abnormal liver function tests, hepatitis, and liver failure), and cardiac risks (ie, QT prolongation and sudden death). When compared with amoxicillin, there was an increased risk for cardiovascular mortality in those patients receiving macrolides.14,15

Vancomycin is known for its potential to cause “red man syndrome,” an infusion-related reaction causing redness and itching as well as nephrotoxic and hematologic effects requiring close monitoring.3 Vancomycin is less effective than methicillin in clearing MRSA or other sensitive pathogens; however, vancomycin is used in patients with a penicillin allergy label.16-18 Intrapartum antibiotic use of vancomycin for group B streptococcus infection was associated with clinically significant morbidity and ADRs.19,20 Perioperatively, patients with penicillin allergies developed more surgical site infections due to the use of second-line antibiotics, such as vancomycin or others.21

 

 

Cost of Penicillin Allergies

Penicillin allergy plays an important role in rising health care costs. In 2017, health care spending reached 17.9% of the gross domestic product.22 Macy and Contreras demonstrated the significantly higher costs associated with having a reported (and unverified) penicillin allergy in a matched cohort study. Inferred for the extra hospital use, the penicillin allergy group cost the health care system $64,626,630 more than for the group who did not have a penicillin allergy label.7 A subsequent study by Macy and Contreras of both inpatient and outpatient settings showed a potential savings of $2,000 per patient per year in health care expenses with the testing and delabeling of penicillin allergies.23 Use of newer and broad-spectrum antibiotics also are more costly and contribute to higher health care costs.24

When these potential savings are applied to the military insurance population of 9.4 million beneficiaries (TRICARE, including active duty, their dependents, and all retirees participating in the program), the results showed that this could impart a savings of nearly $1.7 billion annually, using the model by Macy and Contreras.23,25,26

Previously with colleagues, I reviewed penicillin’s role in military history, compiled data from relevant studies from military penicillin allergy rates and delabeling efforts, and calculated the potential economic impact of penicillin allergies along with the benefits of testing.26 Calculations were estimated using the TRICARE beneficiary population (9.4 million) × the estimated prevalence (10%) to get an estimate of 940,000 TRICARE patients with penicillin allergy in their medical record.25 If 90% of those patients were delabeled, this would equal 846,000 TRICARE patients. When multiplied by the potential savings of $2,000 per patient per year, the estimated savings would be $1,692,000,000 annually.23,26

Current literature provides compelling evidence that all health care plans should use penicillin allergy testing and delabeling programs.3,23,26 As most patients with a history of penicillin allergy in their medical records do not have a verified allergy, delabeling those who do not have a true allergy will have individual, public health, and cost benefits.3,7,23,26

Antibiotic Stewardship

Antibiotic stewardship programs are now mandated to combat antibiotic resistance.3,27 This program is supported by major medical organizations, including the Centers for Disease Control and Prevention, Society for Healthcare Epidemiology of America, Infectious Disease Society of America, and the American Academy of Allergy Asthma and Immunology.3 Given the role of broad-spectrum antibiotics in antibiotic resistance, penicillin allergy testing and delabeling is an important component of these programs.3

In the US, > 2 million people acquire antibiotic resistant infections annually; 23,000 people die of these infections.27 More than 250,000 illnesses and 14,000 deaths annually are due to C difficile.27 There are many factors contributing to the increase in antibiotic resistance; however, one established and consistent factor is the use of broad-spectrum antibiotics. Further, broad-spectrum antibiotics are often used when first-line agents, such as penicillins, cannot be used due to a reported “allergy.” In addition, there are fewer novel antibiotics being developed, and as they are introduced, pathogens develop resistance to these new agents.27

 

 

Military Relevance

Infectious diseases have always accompanied military activity.28-30 Despite preventive programs such as vaccinations, hygiene measures, and prophylactic antibiotics, military personnel are at increased risk for infections due to the military’s mobile nature and crowded living situations.28-30 This situation has operational relevance from basic training, deployments, and combat operations to peacetime activities.

Military recruits are treated routinely with penicillin G benzathine as standard prophylaxis against streptococcal infections.26,30 A recent study by the Marine Corps Recruiting Depot in San Diego, California showed that in a cohort of 402 young healthy male recruits, only 5 (1.5%) had a positive reaction to penicillin testing and challenge over a 21-month period.31 The delabeled other 397 (98.5%) marine recruits were able to receive benzathine penicillin prophylaxis successfully.31 Recruits with a penicillin allergy who had a positive test or were not tested received azithromycin (or erythromycin at some recruit training locations).26,31 Military members may need to operate in remote or austere locations; the ability to use penicillins is important for readiness.

Evaluation and Management of Reported Penicillin Allergy

Verifying penicillin allergies is an important first step in optimizing medical care and decreasing resistance and ADRs.3,4,32,33 Although allergists can provide specialized evaluation, due to the high prevalence of penicillin allergy in the US, all health care team members, including clinicians and pharmacists, should be educated about penicillin allergies and be able to implement evaluations in both inpatient and outpatient settings. Reactions to any of the penicillins should be considered, including the natural penicillins (penicillin V, etc), antistaphylococcal penicillins (dicloxacillin), aminopenicillins (amoxicillin and ampicillin), and extended-spectrum penicillins (piperacillin).3 A thorough history, including the prior reaction (age, type of reaction) and subsequent tolerance are helpful in stratifying patients.3,26

 

Patient Risk Levels

Based on the clinical history, patients would fall into 4 categories from low risk, medium risk, high risk, to do not test/use.3,32,33 Low-risk patients are those who report mild or nonallergic symptoms (ie, gastrointestinal symptoms, headache, yeast infection, etc), remote cutaneous reactions (> 10 years), or in those with a family history of penicillin allergy.3,32,33 Low-risk patients often can be safely tested with an oral challenge. Although there are different approaches to the oral challenge, a single amoxicillin dose of 250 mg followed by 1 hour of direct monitoring is usually sufficient.3,32,33

Medium-risk patients have a more recent (< 1 year) history of pruritic rashes, urticaria, and/or angioedema without a history of severe or systemic reactions. These patients benefit from negative skin testing prior to an oral challenge, which can be performed by trained clinicians or pharmacists or an allergist. However, due to limited availability of skin testing and the potential for false positive testing with skin tests, a single dose or graded challenge would be a reasonable approach as well.3,32,33

High-risk patients are those with severe symptoms (anaphylaxis), a history of reactions to other β-lactam antibiotics, and/or recurrent reactions to antibiotics. These patients benefit from a formal evaluation by an allergist and skin testing prior to challenge.3,32,33 Testing and/or challenge should not be performed in patients who report a history of severe cutaneous reactions (blistering rash, such as Stevens Johnson syndrome), hemolytic anemia, serum sickness, drug fever, and other organ dysfunction.3,4,31,32



The Figure describes a published questionnaire, personnel, resources, and procedures for penicillin delabeling.26 Although skin testing is reliable in revealing a immunoglobulin E-mediated penicillin allergy, there is potential for false positives.32,33 The oral amoxicillin challenge effectively clears the patient for future penicillin administration.3,32-34 In high-risk patients, desensitization should be considered if penicillins (or cephalosporins) are required as first-line treatment. A test dose (one-tenth dose, higher or lower depending on route of administration, historic reaction, clinical status, and level of certainty of prior reaction) may be considered in low- to moderate-risk patients, depending on the indication for the use of the antibiotics.32

Penicillin evaluation pathways can occur in both inpatient and outpatient settings where antibiotics will be prescribed.32-34 There are several proposed pathways, including a screening questionnaire to determine the penicillin allergy risk.26,32,33 Implementation of perioperative testing has been successful in decreasing the rates of vancomycin use and lessening the morbidity associated with use of second-line antibiotics.35 Many hospitals throughout the country have implemented standardized penicillin delabeling programs.3,32-34

 

 

Conclusions

Penicillin allergies are an important barrier to effective antibiotic treatments and are associated with worse outcomes and higher economic costs.3,7,23,26,34 Therefore, in addition to vaccinations, infection control measures, and public health education, penicillin allergy verification and delabeling programs should be a proactive component of military medical readiness and all antibiotic stewardship initiatives in all health care settings.29 Given the many issues and negative impact of having a penicillin allergy label, penicillin delabeling will allow service members to be treated with the necessary antibiotics with fewer adverse complications, and return them to health and readiness for operational duties. In the current standardization of the Defense Health Agency, implementing this program across all services would have significant clinical, public health, and cost benefits for patients, the health care team, taxpayers, and the community at large.

Many patients report an allergy to penicillin, but only a small portion have a current true immune-mediated allergy. Given the clinical, public health, and economic costs associated with a penicillin allergy label, evaluation and clearance of penicillin allergies is a simple method that would improve clinical outcomes, decrease AEs to high-risk alternative broad-spectrum antibiotics, and prevent the spread of antibiotic resistance. In the military, penicillin delabeling improves readiness with optimal antibiotic options and avoidance of unnecessary risks of using alternative antibiotics, expediting return to full duty for military personnel.

Antibiotics are one of the most frequently prescribed medications in both inpatient and outpatient settings.1,2 More than 266 million courses of antibiotics are prescribed annually in the outpatient setting; 49.9% of hospitalized patients were prescribed ≥ 1 antibiotic during their hospitalization.1,2 Among all classes of antibiotics, penicillins are prescribed due to their clinical efficacy, cost-effectiveness, and general safety for all ages. Unfortunately, penicillins also are the most common drug allergy listed in medical records. Patients with this allergy are consistently treated with broad-spectrum antibiotics, have more antibiotic resistant infections, incur higher health care costs, and experience more adverse effects (AEs).3,4

Drug allergies are distinguished by different immune mechanisms, including IgE-mediated reaction, T-lymphocyte-mediated mild skin reactions, and severe cutaneous adverse reactions (SCAR), or other systemic immune syndromes, such as hemolytic anemia, nephritis, and rash with eosinophilia.3 Although drug allergies should be a concern, compelling evidence shows that > 90% of patients labeled with a penicillin allergy are not allergic to penicillins (and associated β-lactams).3,4 Although this evidence is growing, clinicians still hesitate to prescribe penicillin, and patients are similarly anxious to take them. This article reviews the health care consequences of penicillin allergy and the application of this information to military medicine and readiness.

Penicillin Allergy Prevalence

Since their approval for public use in 1945, penicillins have been one of the most often prescribed antibiotics due to their clinical efficacy for many types of infections.3 However, 8 to 10% of the US population and up to 15% of hospitalized patients have a documented penicillin allergy, which limits the ability to use these effective antibiotics.3,4 Once a patient is labeled with a penicillin allergy, many clinicians avoid prescribing all β-lactam antibiotics to patients. Clinicians also avoid prescribing cephalosporins due to the concern for potential cross-reactivity (at a rate of about 2%, which is lower than previously reported).3 These reported allergies are often not clear and range from patients avoiding penicillins because their parents exhibited allergies, they had a symptom that was not likely allergic (ie, nausea, headache, itching with no rash), being told by their parents that they had a rash as a child, or experiencing severe anaphylaxis or other systemic reaction.3,4 Despite the high rates of documented penicillin allergy, studies now show that most patients do not have a serious allergy; < 1% of the population has a true immune-mediated penicillin allergy.3,4

 

Broad-Spectrum Antibiotic Risks

Even though penicillin allergies are often not confirmed, many patients are treated with alternative antibiotics. Unfortunately, most alternative antibiotics are not as effective or as safe as penicillin.3,4 Twenty percent of hospitalized patients will experience an AE related to their antibiotic; 19.3% of emergency department visits for adverse drug reactions (ADRs) are from antibiotics.5,6 Sulfonamides, clindamycin, and quinolones were the antibiotics most commonly associated with AEs.6

In a large database study over a 3-year period, > 400,000 hospitalizations were analyzed in patients matched for admission type, with and without a penicillin allergy in their medical record.7 Those with a documented penicillin allergy had longer hospitalizations; were treated with broad-spectrum antibiotics; and had increased rates of Clostridium difficile (C difficile), methicillin-resistant Staphylococcus aureus (MRSA), and vancomycin-resistant Enterococcus (VRE).7,8 In addition to being first-line treatment for many common infections, penicillins often are used for dental, perinatal, and perioperative prophylaxis.1,3 Nearly 25 million antibiotics are prescribed annually by dentists.1 If a patient has a penicillin allergy listed in their medical record, they will inevitably receive a second- or third-line treatment that is less effective and has higher risks. Common alternative antibiotics include clindamycin, fluoroquinolones, macrolides, and vancomycin.3,7,8

Clindamycin and fluoroquinolones are associated with C difficile infections.9,10 Fluoroquinolones come with a boxed warning for known serious ADRs, including tendon rupture, peripheral neuropathy, central nervous system effects, and are known for causing cardiac reactions such as QT prolongation, life-threatening arrhythmias, and cardiovascular death.11,12 Fluoroquinolones are associated with an increased risk for VRE and MRSA, in more than any other antibiotic classes.3,7,12,13

Macrolides, such as azithromycin and clarithromycin, are another common class of antibiotics used as an alternative for penicillins. Both are used frequently for upper respiratory infections. Known ADRs to macrolides include gastrointestinal adverse effects (AEs) (ie, nausea, vomiting, diarrhea, and abdominal pain), liver toxicity (ie, abnormal liver function tests, hepatitis, and liver failure), and cardiac risks (ie, QT prolongation and sudden death). When compared with amoxicillin, there was an increased risk for cardiovascular mortality in those patients receiving macrolides.14,15

Vancomycin is known for its potential to cause “red man syndrome,” an infusion-related reaction causing redness and itching as well as nephrotoxic and hematologic effects requiring close monitoring.3 Vancomycin is less effective than methicillin in clearing MRSA or other sensitive pathogens; however, vancomycin is used in patients with a penicillin allergy label.16-18 Intrapartum antibiotic use of vancomycin for group B streptococcus infection was associated with clinically significant morbidity and ADRs.19,20 Perioperatively, patients with penicillin allergies developed more surgical site infections due to the use of second-line antibiotics, such as vancomycin or others.21

 

 

Cost of Penicillin Allergies

Penicillin allergy plays an important role in rising health care costs. In 2017, health care spending reached 17.9% of the gross domestic product.22 Macy and Contreras demonstrated the significantly higher costs associated with having a reported (and unverified) penicillin allergy in a matched cohort study. Inferred for the extra hospital use, the penicillin allergy group cost the health care system $64,626,630 more than for the group who did not have a penicillin allergy label.7 A subsequent study by Macy and Contreras of both inpatient and outpatient settings showed a potential savings of $2,000 per patient per year in health care expenses with the testing and delabeling of penicillin allergies.23 Use of newer and broad-spectrum antibiotics also are more costly and contribute to higher health care costs.24

When these potential savings are applied to the military insurance population of 9.4 million beneficiaries (TRICARE, including active duty, their dependents, and all retirees participating in the program), the results showed that this could impart a savings of nearly $1.7 billion annually, using the model by Macy and Contreras.23,25,26

Previously with colleagues, I reviewed penicillin’s role in military history, compiled data from relevant studies from military penicillin allergy rates and delabeling efforts, and calculated the potential economic impact of penicillin allergies along with the benefits of testing.26 Calculations were estimated using the TRICARE beneficiary population (9.4 million) × the estimated prevalence (10%) to get an estimate of 940,000 TRICARE patients with penicillin allergy in their medical record.25 If 90% of those patients were delabeled, this would equal 846,000 TRICARE patients. When multiplied by the potential savings of $2,000 per patient per year, the estimated savings would be $1,692,000,000 annually.23,26

Current literature provides compelling evidence that all health care plans should use penicillin allergy testing and delabeling programs.3,23,26 As most patients with a history of penicillin allergy in their medical records do not have a verified allergy, delabeling those who do not have a true allergy will have individual, public health, and cost benefits.3,7,23,26

Antibiotic Stewardship

Antibiotic stewardship programs are now mandated to combat antibiotic resistance.3,27 This program is supported by major medical organizations, including the Centers for Disease Control and Prevention, Society for Healthcare Epidemiology of America, Infectious Disease Society of America, and the American Academy of Allergy Asthma and Immunology.3 Given the role of broad-spectrum antibiotics in antibiotic resistance, penicillin allergy testing and delabeling is an important component of these programs.3

In the US, > 2 million people acquire antibiotic resistant infections annually; 23,000 people die of these infections.27 More than 250,000 illnesses and 14,000 deaths annually are due to C difficile.27 There are many factors contributing to the increase in antibiotic resistance; however, one established and consistent factor is the use of broad-spectrum antibiotics. Further, broad-spectrum antibiotics are often used when first-line agents, such as penicillins, cannot be used due to a reported “allergy.” In addition, there are fewer novel antibiotics being developed, and as they are introduced, pathogens develop resistance to these new agents.27

 

 

Military Relevance

Infectious diseases have always accompanied military activity.28-30 Despite preventive programs such as vaccinations, hygiene measures, and prophylactic antibiotics, military personnel are at increased risk for infections due to the military’s mobile nature and crowded living situations.28-30 This situation has operational relevance from basic training, deployments, and combat operations to peacetime activities.

Military recruits are treated routinely with penicillin G benzathine as standard prophylaxis against streptococcal infections.26,30 A recent study by the Marine Corps Recruiting Depot in San Diego, California showed that in a cohort of 402 young healthy male recruits, only 5 (1.5%) had a positive reaction to penicillin testing and challenge over a 21-month period.31 The delabeled other 397 (98.5%) marine recruits were able to receive benzathine penicillin prophylaxis successfully.31 Recruits with a penicillin allergy who had a positive test or were not tested received azithromycin (or erythromycin at some recruit training locations).26,31 Military members may need to operate in remote or austere locations; the ability to use penicillins is important for readiness.

Evaluation and Management of Reported Penicillin Allergy

Verifying penicillin allergies is an important first step in optimizing medical care and decreasing resistance and ADRs.3,4,32,33 Although allergists can provide specialized evaluation, due to the high prevalence of penicillin allergy in the US, all health care team members, including clinicians and pharmacists, should be educated about penicillin allergies and be able to implement evaluations in both inpatient and outpatient settings. Reactions to any of the penicillins should be considered, including the natural penicillins (penicillin V, etc), antistaphylococcal penicillins (dicloxacillin), aminopenicillins (amoxicillin and ampicillin), and extended-spectrum penicillins (piperacillin).3 A thorough history, including the prior reaction (age, type of reaction) and subsequent tolerance are helpful in stratifying patients.3,26

 

Patient Risk Levels

Based on the clinical history, patients would fall into 4 categories from low risk, medium risk, high risk, to do not test/use.3,32,33 Low-risk patients are those who report mild or nonallergic symptoms (ie, gastrointestinal symptoms, headache, yeast infection, etc), remote cutaneous reactions (> 10 years), or in those with a family history of penicillin allergy.3,32,33 Low-risk patients often can be safely tested with an oral challenge. Although there are different approaches to the oral challenge, a single amoxicillin dose of 250 mg followed by 1 hour of direct monitoring is usually sufficient.3,32,33

Medium-risk patients have a more recent (< 1 year) history of pruritic rashes, urticaria, and/or angioedema without a history of severe or systemic reactions. These patients benefit from negative skin testing prior to an oral challenge, which can be performed by trained clinicians or pharmacists or an allergist. However, due to limited availability of skin testing and the potential for false positive testing with skin tests, a single dose or graded challenge would be a reasonable approach as well.3,32,33

High-risk patients are those with severe symptoms (anaphylaxis), a history of reactions to other β-lactam antibiotics, and/or recurrent reactions to antibiotics. These patients benefit from a formal evaluation by an allergist and skin testing prior to challenge.3,32,33 Testing and/or challenge should not be performed in patients who report a history of severe cutaneous reactions (blistering rash, such as Stevens Johnson syndrome), hemolytic anemia, serum sickness, drug fever, and other organ dysfunction.3,4,31,32



The Figure describes a published questionnaire, personnel, resources, and procedures for penicillin delabeling.26 Although skin testing is reliable in revealing a immunoglobulin E-mediated penicillin allergy, there is potential for false positives.32,33 The oral amoxicillin challenge effectively clears the patient for future penicillin administration.3,32-34 In high-risk patients, desensitization should be considered if penicillins (or cephalosporins) are required as first-line treatment. A test dose (one-tenth dose, higher or lower depending on route of administration, historic reaction, clinical status, and level of certainty of prior reaction) may be considered in low- to moderate-risk patients, depending on the indication for the use of the antibiotics.32

Penicillin evaluation pathways can occur in both inpatient and outpatient settings where antibiotics will be prescribed.32-34 There are several proposed pathways, including a screening questionnaire to determine the penicillin allergy risk.26,32,33 Implementation of perioperative testing has been successful in decreasing the rates of vancomycin use and lessening the morbidity associated with use of second-line antibiotics.35 Many hospitals throughout the country have implemented standardized penicillin delabeling programs.3,32-34

 

 

Conclusions

Penicillin allergies are an important barrier to effective antibiotic treatments and are associated with worse outcomes and higher economic costs.3,7,23,26,34 Therefore, in addition to vaccinations, infection control measures, and public health education, penicillin allergy verification and delabeling programs should be a proactive component of military medical readiness and all antibiotic stewardship initiatives in all health care settings.29 Given the many issues and negative impact of having a penicillin allergy label, penicillin delabeling will allow service members to be treated with the necessary antibiotics with fewer adverse complications, and return them to health and readiness for operational duties. In the current standardization of the Defense Health Agency, implementing this program across all services would have significant clinical, public health, and cost benefits for patients, the health care team, taxpayers, and the community at large.

Many patients report an allergy to penicillin, but only a small portion have a current true immune-mediated allergy. Given the clinical, public health, and economic costs associated with a penicillin allergy label, evaluation and clearance of penicillin allergies is a simple method that would improve clinical outcomes, decrease AEs to high-risk alternative broad-spectrum antibiotics, and prevent the spread of antibiotic resistance. In the military, penicillin delabeling improves readiness with optimal antibiotic options and avoidance of unnecessary risks of using alternative antibiotics, expediting return to full duty for military personnel.

References

1. Centers for Disease Control and Prevention. Outpatient antibiotic prescriptions-United States, 2014. https://www.cdc.gov/antibiotic-use/community/pdfs/annual-reportsummary_2014.pdf. Accessed August 15, 2020.

2. Magill SS, Edwards JR, Beldavs ZG, et al. Prevalence of antimicrobial use in US acute care hospitals, May-September 2011. JAMA. 2014;312(14):1438-1446. doi:10.1001/jama.2014.12923

3. Shenoy ES, Macy E, Rowe T, Blumenthal KG. Evaluation and management of penicillin allergy. JAMA. 2019;321:188-199. doi:10.1001/jama.2018.19283

4. Har D, Solensky R. Penicillin and beta-lactam hypersensitivity. Immunol Allergy Clin North Am. 2017;37(4):643-662. doi:10.1016/j.iac.2017.07.001

5. Tamma PD, Avdic E, Li DX, Dzintars K, Cosgrove SE. Association of adverse events with antibiotic use in hospitalized patients. JAMA Intern Med. 2017;177(9):1308-1315. doi:10.1001/jamainternmed.2017.1938

6. Shebab N, Patel PR, Srinivasan A, Budnitz DS. Emergency department visits for antibiotic-associated adverse events. Clin Infect Dis. 2008;47(6):735-743. doi:10.1086/591126

7. Macy E, Contreras R. Healthcare use and serious infection prevalence associated with penicillin “allergy” in hospitalized patients: a cohort study. J Allergy Clin Immunol. 2014;133(3):790-796. doi:10.1016/j.jaci.2013.09.021

8. Blumenthal KG, Lu N, Zhang Y, Li Y, Walensky RP, Choi HK. Risk of methicillin resistant Staphylococcal aureus and Clostridium difficile in patients with a documented penicillin allergy: population-based matched cohort study. BMJ. 2018;361:k2400. doi:10.1136/bmj.k2400

9. Loo VG, Poirier L, Miller MA, et al. A predominantly clonal multi-institutional outbreak of Clostridium difficile associated diarrhea with high morbidity and mortality. N Engl J Med. 2005;353(23):2442-2449. doi:10.1056/NEJMoa051639

10. Pepin J, Saheb N, Coulombe MA, et al. Emergence of fluoroquinolone as the predominant risk factor for Clostridium difficile-associated diarrhea: a cohort study during an epidemic in Quebec. Clin Infect Dis. 2005;41(9):1254-1260. doi:10.1086/496986

11. Chou HW, Wang JL, Chang CH, et al. Risks of cardiac arrhythmia and mortality among patients using new-generation macrolides, fluoroquinolones, and β-lactam/β-lactamase inhibitors: a Taiwanese nationwide study. Clin Infec Dis. 2015;60(4):566-577. doi:10.1093/cid/ciu914

12. Rao GA, Mann JR, Shoaibi A, et al. Azithromycin and levofloxacin use and increased risk of cardiac arrhythmia and death. Ann Fam Med. 2014;12(2):121-127. doi:10.1370/afm.1601

13. LeBlanc L, Pepin J, Toulouse K, et al. Fluoroquinolone and risk for methicillin-resistant Staphylococcus aureus, Canada. Emerg Infect Dis. 2006;12(9):1398-1405. doi:10.3201/eid1209.060397

14. Schembri S, Williamson PA, Short PM, et al. Cardiovascular events after clarithromycin use in lower respiratory tract infections: analysis of two prospective cohort studies. BMJ. 2013;346:f1245. doi:10.1136/bmj.f1235

15. Ray WA, Murray KT, Hall K, Arbogast PG, Stein CM. Azithromycin and the risk of cardiovascular death. N Engl J Med. 2012;366(20):1881-1890. doi:10.1056/NEJMoa1003833

16. McDaniel JS, Perencevich EN, Diekema DJ, et al. Comparative effectiveness of beta-lactams versus vancomycin for treatment of methicillin-susceptible Staphylococcus aureus bloodstream infections among 122 hospitals. Clin Infect Dis. 2015;61(3):361-367. doi:10.1093/cid/civ308

17. Wong D, Wong T, Romney M, Leung V. Comparison of outcomes in patients with methicillin-susceptible Staphylococcus aureus (MSSA) bacteremia who are treated with β-lactam vs vancomycin empiric therapy: a retrospective cohort study. BMC Infect Dis. 2016;16:224. doi:10.1186/s12879-016-1564-5

18. Blumenthal KG, Shenoy ES, Huang M, et al. The impact of reporting a prior penicillin allergy on the treatment of methicillin-sensitivity Staphylococcus aureus bacteremia. PLoS One. 2016;11(7):e0159406. doi:10.1371/journal.pone.0159406

19. Verani JR, McGee L, Schrag SJ; Division of Bacterial Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC). Prevention of perinatal group B streptococcal disease. MMWR Recomm Rep. 2010;59(RR-10):1-36.

20. Desai SH, Kaplan MS, Chen Q, Macy EM. Morbidity in pregnant women associated with unverified penicillin allergies, antibiotic use, and group B Streptococcus infections. Perm J. 2017;21:16-080. doi:10.7812/TPP/16-080

21. Blumenthal KG, Ryan EE, Li Y, Lee H, Kuhlen JL, Shenoy ES. The impact of a reported penicillin allergy on surgical site infection risk. Clin Infect Dis. 2018;66(3):329-336. doi:10.1093/cid/cix794

22. National Health Expenditures 2017 Highlights. Centers for Medicare & Medicaid services. https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/NationalHealthExpendData/Downloads/highlights.pdf. Accessed August 25, 2020.

23. Macy E, Shu YH. The effect of penicillin allergy testing on future health care utilization: a matched cohort study. J Allergy Clin Immunol Pract. 2017;5(3):705-710. doi:10.1016/j.jaip.2017.02.012

24. Picard M, Begin P, Bouchard H, et al. Treatment of patients with a history of penicillin allergy in a large tertiary-care academic hospital. J Allergy Clin Immunol Pract. 2013;1(3):252-257. doi:10.1016/j.jaip.2013.01.006

25. US Department of Defense. Beneficiary population statistics. https://health.mil/I-Am-A/Media/Media-Center/Patient-Population-Statistics. Accessed August 25, 2020.

26. Lee RU, Banks TA, Waibel KH, Rodriguez RG. Penicillin allergy…maybe not? The military relevance for penicillin testing and de-labeling. Mil Med. 2019;184(3-4):e163-e168. doi:10.1093/milmed/usy194

27. Antibiotic resistance threats in the United States, 2013. Centers for Disease Control and Prevention. https://www.cdc.gov/drugresistance/threat-report-2013/index.html. Accessed May 10, 2019.

28. Gray GC, Callahan JD, Hawksworth AW, Fisher CA, Gaydos JC. Respiratory diseases among U.S. military personnel: countering emerging threats. Emerg Infect Dis. 1999;5(3):379-385. doi:10.3201/eid0503.990308

29. Beaumier CM, Gomez-Rubio AM, Hotez PJ, Weina PJ. United States military tropical medicine: extraordinary legacy, uncertain future. PLoS Negl Trop Dis. 2013;7(12):e2448. doi:10.1371/journal.pntd.0002448

30. Thomas RJ, Conwill DE, Morton DE, et al. Penicillin prophylaxis for streptococcal infections in the United States Navy and Marine Corps recruit camps, 1951-1985. Rev Infect Dis. 1988;10(1):125-130. doi:10.1093/clinids/10.1.125

31. Tucker MH, Lomas CM, Ramchandar N, Waldram JD. Amoxicillin challenge without penicillin skin testing in evaluation of penicillin allergy in a cohort of Marine recruits. J Allergy Clin Immunol Pract. 2017;5(3):813-815. doi:10.1016/j.jaip.2017.01.023

32. Blumenthal KG, Shenoy ES, Wolfson AR, et al. Addressing inpatient beta-lactam allergies: a multihospital implementation. J Allergy Clin Immunol Pract. 2017;5(3):616-625. doi:10.1016/j.jaip.2017.02.019

33. Kuruvilla M, Shih J, Patel K, Scanlon N. Direct oral amoxicillin challenge without preliminary skin testing in adult patients with allergy and at low risk with reported penicillin allergy. Allergy Asthma Proc. 2019;40(1):57-61. doi:10.2500/aap.2019.40.4184

34. Banks TA, Tucker M, Macy E. Evaluating penicillin allergies without skin testing. Curr Allergy Asthma Rep. 2019;19(5):27. doi:10.1007/s11882-019-0854-6

35. Park M, Markus P, Matesic D, Li JT. Safety and effectiveness of a preoperative allergy clinic in decreasing vancomycin use in patients with a history of penicillin allergy. Ann Allergy Asthma Immunol. 2006;97(5):681-687.doi:10.1016/S1081-1206(10)61100-3

References

1. Centers for Disease Control and Prevention. Outpatient antibiotic prescriptions-United States, 2014. https://www.cdc.gov/antibiotic-use/community/pdfs/annual-reportsummary_2014.pdf. Accessed August 15, 2020.

2. Magill SS, Edwards JR, Beldavs ZG, et al. Prevalence of antimicrobial use in US acute care hospitals, May-September 2011. JAMA. 2014;312(14):1438-1446. doi:10.1001/jama.2014.12923

3. Shenoy ES, Macy E, Rowe T, Blumenthal KG. Evaluation and management of penicillin allergy. JAMA. 2019;321:188-199. doi:10.1001/jama.2018.19283

4. Har D, Solensky R. Penicillin and beta-lactam hypersensitivity. Immunol Allergy Clin North Am. 2017;37(4):643-662. doi:10.1016/j.iac.2017.07.001

5. Tamma PD, Avdic E, Li DX, Dzintars K, Cosgrove SE. Association of adverse events with antibiotic use in hospitalized patients. JAMA Intern Med. 2017;177(9):1308-1315. doi:10.1001/jamainternmed.2017.1938

6. Shebab N, Patel PR, Srinivasan A, Budnitz DS. Emergency department visits for antibiotic-associated adverse events. Clin Infect Dis. 2008;47(6):735-743. doi:10.1086/591126

7. Macy E, Contreras R. Healthcare use and serious infection prevalence associated with penicillin “allergy” in hospitalized patients: a cohort study. J Allergy Clin Immunol. 2014;133(3):790-796. doi:10.1016/j.jaci.2013.09.021

8. Blumenthal KG, Lu N, Zhang Y, Li Y, Walensky RP, Choi HK. Risk of methicillin resistant Staphylococcal aureus and Clostridium difficile in patients with a documented penicillin allergy: population-based matched cohort study. BMJ. 2018;361:k2400. doi:10.1136/bmj.k2400

9. Loo VG, Poirier L, Miller MA, et al. A predominantly clonal multi-institutional outbreak of Clostridium difficile associated diarrhea with high morbidity and mortality. N Engl J Med. 2005;353(23):2442-2449. doi:10.1056/NEJMoa051639

10. Pepin J, Saheb N, Coulombe MA, et al. Emergence of fluoroquinolone as the predominant risk factor for Clostridium difficile-associated diarrhea: a cohort study during an epidemic in Quebec. Clin Infect Dis. 2005;41(9):1254-1260. doi:10.1086/496986

11. Chou HW, Wang JL, Chang CH, et al. Risks of cardiac arrhythmia and mortality among patients using new-generation macrolides, fluoroquinolones, and β-lactam/β-lactamase inhibitors: a Taiwanese nationwide study. Clin Infec Dis. 2015;60(4):566-577. doi:10.1093/cid/ciu914

12. Rao GA, Mann JR, Shoaibi A, et al. Azithromycin and levofloxacin use and increased risk of cardiac arrhythmia and death. Ann Fam Med. 2014;12(2):121-127. doi:10.1370/afm.1601

13. LeBlanc L, Pepin J, Toulouse K, et al. Fluoroquinolone and risk for methicillin-resistant Staphylococcus aureus, Canada. Emerg Infect Dis. 2006;12(9):1398-1405. doi:10.3201/eid1209.060397

14. Schembri S, Williamson PA, Short PM, et al. Cardiovascular events after clarithromycin use in lower respiratory tract infections: analysis of two prospective cohort studies. BMJ. 2013;346:f1245. doi:10.1136/bmj.f1235

15. Ray WA, Murray KT, Hall K, Arbogast PG, Stein CM. Azithromycin and the risk of cardiovascular death. N Engl J Med. 2012;366(20):1881-1890. doi:10.1056/NEJMoa1003833

16. McDaniel JS, Perencevich EN, Diekema DJ, et al. Comparative effectiveness of beta-lactams versus vancomycin for treatment of methicillin-susceptible Staphylococcus aureus bloodstream infections among 122 hospitals. Clin Infect Dis. 2015;61(3):361-367. doi:10.1093/cid/civ308

17. Wong D, Wong T, Romney M, Leung V. Comparison of outcomes in patients with methicillin-susceptible Staphylococcus aureus (MSSA) bacteremia who are treated with β-lactam vs vancomycin empiric therapy: a retrospective cohort study. BMC Infect Dis. 2016;16:224. doi:10.1186/s12879-016-1564-5

18. Blumenthal KG, Shenoy ES, Huang M, et al. The impact of reporting a prior penicillin allergy on the treatment of methicillin-sensitivity Staphylococcus aureus bacteremia. PLoS One. 2016;11(7):e0159406. doi:10.1371/journal.pone.0159406

19. Verani JR, McGee L, Schrag SJ; Division of Bacterial Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC). Prevention of perinatal group B streptococcal disease. MMWR Recomm Rep. 2010;59(RR-10):1-36.

20. Desai SH, Kaplan MS, Chen Q, Macy EM. Morbidity in pregnant women associated with unverified penicillin allergies, antibiotic use, and group B Streptococcus infections. Perm J. 2017;21:16-080. doi:10.7812/TPP/16-080

21. Blumenthal KG, Ryan EE, Li Y, Lee H, Kuhlen JL, Shenoy ES. The impact of a reported penicillin allergy on surgical site infection risk. Clin Infect Dis. 2018;66(3):329-336. doi:10.1093/cid/cix794

22. National Health Expenditures 2017 Highlights. Centers for Medicare & Medicaid services. https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/NationalHealthExpendData/Downloads/highlights.pdf. Accessed August 25, 2020.

23. Macy E, Shu YH. The effect of penicillin allergy testing on future health care utilization: a matched cohort study. J Allergy Clin Immunol Pract. 2017;5(3):705-710. doi:10.1016/j.jaip.2017.02.012

24. Picard M, Begin P, Bouchard H, et al. Treatment of patients with a history of penicillin allergy in a large tertiary-care academic hospital. J Allergy Clin Immunol Pract. 2013;1(3):252-257. doi:10.1016/j.jaip.2013.01.006

25. US Department of Defense. Beneficiary population statistics. https://health.mil/I-Am-A/Media/Media-Center/Patient-Population-Statistics. Accessed August 25, 2020.

26. Lee RU, Banks TA, Waibel KH, Rodriguez RG. Penicillin allergy…maybe not? The military relevance for penicillin testing and de-labeling. Mil Med. 2019;184(3-4):e163-e168. doi:10.1093/milmed/usy194

27. Antibiotic resistance threats in the United States, 2013. Centers for Disease Control and Prevention. https://www.cdc.gov/drugresistance/threat-report-2013/index.html. Accessed May 10, 2019.

28. Gray GC, Callahan JD, Hawksworth AW, Fisher CA, Gaydos JC. Respiratory diseases among U.S. military personnel: countering emerging threats. Emerg Infect Dis. 1999;5(3):379-385. doi:10.3201/eid0503.990308

29. Beaumier CM, Gomez-Rubio AM, Hotez PJ, Weina PJ. United States military tropical medicine: extraordinary legacy, uncertain future. PLoS Negl Trop Dis. 2013;7(12):e2448. doi:10.1371/journal.pntd.0002448

30. Thomas RJ, Conwill DE, Morton DE, et al. Penicillin prophylaxis for streptococcal infections in the United States Navy and Marine Corps recruit camps, 1951-1985. Rev Infect Dis. 1988;10(1):125-130. doi:10.1093/clinids/10.1.125

31. Tucker MH, Lomas CM, Ramchandar N, Waldram JD. Amoxicillin challenge without penicillin skin testing in evaluation of penicillin allergy in a cohort of Marine recruits. J Allergy Clin Immunol Pract. 2017;5(3):813-815. doi:10.1016/j.jaip.2017.01.023

32. Blumenthal KG, Shenoy ES, Wolfson AR, et al. Addressing inpatient beta-lactam allergies: a multihospital implementation. J Allergy Clin Immunol Pract. 2017;5(3):616-625. doi:10.1016/j.jaip.2017.02.019

33. Kuruvilla M, Shih J, Patel K, Scanlon N. Direct oral amoxicillin challenge without preliminary skin testing in adult patients with allergy and at low risk with reported penicillin allergy. Allergy Asthma Proc. 2019;40(1):57-61. doi:10.2500/aap.2019.40.4184

34. Banks TA, Tucker M, Macy E. Evaluating penicillin allergies without skin testing. Curr Allergy Asthma Rep. 2019;19(5):27. doi:10.1007/s11882-019-0854-6

35. Park M, Markus P, Matesic D, Li JT. Safety and effectiveness of a preoperative allergy clinic in decreasing vancomycin use in patients with a history of penicillin allergy. Ann Allergy Asthma Immunol. 2006;97(5):681-687.doi:10.1016/S1081-1206(10)61100-3

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Serotonin Syndrome/Serotonin Toxicity

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Tue, 10/20/2020 - 11:31

Serotonin, or 5-hydroxytryptamine (5-HT), is a chemical neurotransmitter in the central and peripheral nervous systems that was discovered in 1940s. 1 O ne of the most widely studied chemical messengers , serotonin influences many physiologic functions in humans, including regulation of mood, sleep-wake cycle, appetite suppression, memory, emesis, breathing, cognition, blood coagulation, libido, and many other functions. 2 In 1992, Insel and colleagues first document ed the toxic symptoms produced from too much serotonin in the central and peripheral nervous systems , naming it serotonin syndrome. 3,4

Serotonin Syndrome

Experts in the fields of psychiatry, pharmacy, and toxicology refer to these symptoms as serotonin toxicity, because the symptoms result from the toxic effects of too much serotonin.5-9 The term toxicity instead of syndrome “clarifies that it is a form of poisoning, just as lithium toxicity is a form of poisoning.”6 Therefore, serotonin toxicity (ST) can develop with administration of any serotonin-enhancing medication, including therapeutic use, polypharmacy, or accidental/intentional drug overdose.

The incidence of ST has increased over the past decade.5,6,10,11 Several reasons explain this increase: (1) ST mirrors the increase in depression in the US populations10,12,13; (2) There has been an increase in off-label antidepressant prescribing by both primary care and mental health providers14-16; (3) the increased use of illicit drugs13; (4) an increase in suicide attempts with antidepressants17; and (5) increased use of opioids for pain management, including both prescription and illicit use.11,14 This paper reviews the potential lethal combinations of commonly prescribed medications used to treat both veteran and nonveteran patients and includes the latest information on offending medications; a presentation of symptoms from in utero to adult; diagnostic criteria; and recommended treatments.

The Veterans Health Administration (VHA) and non-VHA health care providers can play a key role in identifying and preventing serotonin syndrome/ST by keeping abreast of the latest updates of potentially lethal drug combinations. Commonly prescribed medications with the potential for a reaction include antidepressants, anxiolytics, pain medications, antinausea medications, herbal medications, and over-the-counter (OTC) medications, such as cough suppressants. Patients may be at increased risk for ST due to the growth of polypharmacy management of comorbidities.

Antidepressants

Over the past decade, antidepressant use has increased substantially in the US,United Kingdom, and Canada.14 Also the types of antidepressants prescribed has changed and been replaced with the newer agents. The selective serotonin reuptake inhibitors (SSRIs) and selective norepinephrine reuptake inhibitors (SNRIs) have replaced the older tricyclics (TCAs) and monoamine oxidase inhibitors (MAOIs) as first-line treatments for depression due to their improved comparative efficacy, reduced mortality following overdose, adverse effects (AEs) that are more tolerable for most patients, and the SSRIs have no anticholinergic properties (except paroxetine) (Table 1).18

In 2017 the National Institute of Mental Health reported that about 17 million adults and 3 million adolescents (aged 11-18 years) experienced at least 1 episode of major depression.19 About 40% of US veterans will experience depression, which is 3 times higher than the rate of the general US population.12 A random sampling survey conducted of about 17,000 active-duty service members by the US Department of Defense (DoD) from November 2015 to April 2016 revealed 9.4% reported depression.20 Antidepressant usage in the US and among veterans continues to increase.12,16 In 2018, the list of top US prescribed drugs, included sertraline (14th), citalopram (21st), trazodone (24th), and escitalopram (26th).21 Antidepressant prescribing in the US increased 18% from 2012 to 2017.22 This trend also continues within the military with a 40% increase of antidepressant use in the past decade.16

One reason for the increase in antidepressant use is off-label prescribing.14,23 A sampling of about 2 billion psychiatric outpatient visits in a western portion of the US found 12.9% of the prescriptions filled were off-label.15 In Minnesota, off-label prescribing of antidepressants was found to contribute to an increase in drug interactions in elderly nursing home residents.24 An investigation by the Military Times of the military community revealed off-label prescribing occurs not only with antidepressant medications, but also with anticonvulsants, antipsychotics, anti-anxiety drugs, and antiepileptic medications.14

A case report that brought ST to the forefront occurred in the 1980s and involved a college student.25 She was initially diagnosed with the flu. Her symptoms progressed over a 24-hour period despite treatment, leading to seizures, hyperthermia, generalized clonus, muscle rigidity, respiratory failure, and death because of unrecognized ST. Her combination of serotonin-elevating drugs included meperidine, phenelzine, chlorpheniramine, and haldol. On autopsy, there were traces of cocaine found in some of her tissue samples.

 

 

Pathophysiology

Tryptophan is a precursor of serotonin and must be ingested from foods, including meats, dairy, fruits, and seeds. About 90% of all serotonin is made in the gastrointestinal epithelium and is the major component of the brain-gut axis.26 Serotonin cannot cross the blood-brain barrier; therefore, it is synthesized and stored in presynaptic terminals around the midline of the brainstem.1,26 Transport of serotonin is provided by serotonin transporter (SERT).1,26,27 Once released, serotonin can either stimulate postsynaptic neuron receptors or is taken up into the presynaptic terminals for reuse. SSRI antidepressants, such as citalopram and paroxetine inhibit the reuptake of serotonin by binding to 2 different sites on the SERT thus allowing more available serotonin to be accessible to other neurons.27 There are 7 families of serotonin receptors, 5-HT1 to 5-HT7 and at least 15 mammalian subtypes.28,29 The majority of these receptors have been implicated in depression or depressive-like behavior as evidenced by the efficacy of increasing extracellular serotonin for the treatment of depression with SSRIs, SNRIs, TCAs, and MAOIs.29 Three of the most studied receptors include 5-HTIA,5-HT1B,and 5-HT2A.

Etiology

Most serotonin-induced drug fatalities occur when combining serotonergic drugs that work through different pathways (Table 2).30 The most toxic combination of serotonin-enhancing drugs includes MAOIs taken with SSRIs or SNRIs, or a combination of 2 MAOIs.5-9

Other potentially lethal combinations may includepolypharmacy with antidepressants, pain medications, OTC medications, and illicit drugs. Linezolid, a new synthetic antimicrobial, is considered to be a weak MAOI. Therefore, prescribing it with other serotonin-elevating agents has been reported to precipitate ST.18

Most cases of ST do not require hospitalization and can be managed by stopping the medication or decreasing the dose. Therapeutic doses of a single drug are highly unlikely to cause toxicity, although there have been reported cases of patients who are sensitive or more susceptible and develop symptoms after administration of a single agent and/or a dosage increase.

Delayed ST reactions have occurred because of a prolonged half-life of a drug, iron deficiency anemia, and coingestion of shorter acting serotonin antagonists.31 Most antidepressants have a short half-life (< 24 hours)except for fluoxetine. A decrease in iron may contribute to ST because iron is needed to process serotonin from tryptophan. An example of 2 shorter-acting serotonin antagonists include cyproheptadine and olanzapine. Cyproheptadine is used in the treatment of ST, and olanzapine is an antipsychotic.

Symptoms

Symptoms of ST range from mild to severe and include a combination of neuromuscular, autonomic, and mental status changes (Table 3).5,10 Mild symptoms of ST can start within 1 to 2 hours after ingesting a medication that increases serotonin to a toxic state unless the drug has a long half-life (eg, fluoxetine). Sometimes mild symptoms of ST can be difficult to distinguish from common drug AEs, flu symptoms, or viruses. Patients taking therapeutic doses of SSRIs can experience serotonin symptoms, such as lower limb hyperreflexia or a few beats of ankle clonus without being toxic. One thing to remember is that not all patients will start with mild symptoms and may present in moderate or severe distress.

 

 

Moderate-to-severe ST symptoms require hospitalization, usually in the intensive care unit (ICU). At this stage, clonus progresses from the lower extremities to the upper body and becomes more generalized. Ocular clonus can be continuous, intermittent, or have a ping pong effect (short cycle, periodic, alternating lateral gaze).

Severe ST is life threatening and leads to multiorgan failure within hours if not treated. The patient is intubated to assist with breathing and sedated because excess agitation and muscular tremors can increase temperature, which is already elevated by the time the symptoms reach the severe state. Of note, hyperthermia is due to a noninfectious elevation of body temperature from hypertonicity, agitation, and muscle rigidity.A true core temperature > 105.8°F causes irreversible cell damage, cerebral injury, and death.32,33 The patient can develop seizures and a coma. Multiorgan failure occurs, including rhabdomyolysis, myoglobinuria, renal failure, metabolic acidosis, acute respiratory distress, and disseminated intravascular coagulation.

Diagnosis

The diagnosis of ST is clinical and based on a history of ingesting serotonin-elevating medications and physical findings as per Hunter Serotonin Toxicity Criteria34 (Table 4). An in-depth history needs to include previous and current prescriptions, indications of the prescriptions (eg, therapeutic, increase in dosage, suicide intent), OTC medications, and illicit drug use. Early recognition of symptoms, identification of serotonergic medications, and appropriate resuscitative measures lead to more successful outcomes. A serotonin drug level is ineffective and does not correlate with the dosage since serotonin does not cross the blood-brain barrier.

The type of drug determines the length and response of the episode. The drug(s) elimination half-lives need to be calculated along with the pharmacokinetic or pharmacodynamics; agonist, antagonist, reuptake inhibitor, etc. Many drugs have half-lives of < 24 hours; therefore, reducing or eliminating the offending drug(s) will result in a steady reduction of symptoms.Exceptions include medications with a longer activity, such as the irreversible MAOIs (eg, phenelzine, isocarboxazid) and drugs with a longer half-life, such as fluoxetine. These types of medications may have been stopped weeks earlier and may prolong reduction of symptoms.

When initiating or increasing SSRIs or SNRIs, there are common nontoxic AEs that are not consistent with ST, including anxiety, restlessness, and irritability that may last for 2 weeks. The difference in toxic vs nontoxic reactions are the timing and rapid progression of symptoms. The toxic symptoms will start within hours of ingesting the offending agents(s) and progress rapidly to severe symptoms within 24 hours. Therefore, it is imperative to review AEs with the patient and or caregiver, so they may act as their own advocate and seek immediate assistance.

Differentials

There are symptoms specific to ST that can be used to differentiate it from other conditions. These include hyperthermia, bilateral symmetric clonus (inducible, spontaneous, ocular), and hyperreflexia.These criteria form the basis for Hunter criteria.

Differential diagnoses to consider include neuroleptic malignant syndrome; antidepressant initiation AEs; antidepressant discontinuation syndrome; malignant hyperthermia; anticholinergic toxicity; meningitis/encephalitis; sepsis; drug overdose; alcohol/benzodiazepine withdrawal; and preeclampsia. Neuroleptic malignant syndrome (NMS) is the disorder most often misdiagnosed as ST.Key elements that distinguish ST from NMS include the timing of the clinical course (NMS develops over days to weeks); the medications ingested (NMS from dopaminergic drugs); and the symptoms of NMS (bradyreflexia, bradykinesia, bradyphrenia, and no clonus).According to Gillman, serotonin toxicity is a manifestation of toxicity that is predictable and common with specific drug combinations, while NMS is a “rare idiosyncratic reaction to essentially normal doses and very rarely occurs after overdoses.”35 Preeclampsia is a pregnancy complication that can mimic ST with symptoms of hypertension, clonus, and hyperreflexia. It has been estimated to complicate 2% to 8% of pregnancies and remains a principle cause of maternal and fetal morbidity and mortality.36,37

 

 

Treatment

Mild-to-moderate symptoms usually resolve on their own 1 to 3 days after decreasing or stopping the offending drug. The timing will depend on the half-life or active metabolites of the drug. Treatment is largely supportive and may require treatment for control of agitation with benzodiazepines and IV fluids for dehydration/hypotension.14 In cases not responding to supportive care, treatment with oral cyproheptadine is recommended.14

There are other medications that have been used in treatment such as olanzapine, chlorpromazine, propranolol, bromocriptine, dantrolene, droperidol, and haloperidol, but their efficacy is unproven and not recommended.10 Chlorpromazine can cause hypotension and increase hyperthermia. Propranolol has a long duration of action, may cause a prolonged hypotension, and can mask tachycardia that can be used to monitor the effectiveness of treatment.10 Bromocriptine is a serotonin agonist and may exacerbate symptoms. Dantrolene has no effect on survival in animal models.10 Droperidol and haloperidol can worsen hyperthermia by inhibiting sweating.38

Mechanical ventilation should be considered especially if muscle rigidity progresses and depressed respiratory function occurs. If the temperature starts to rise, immediate sedation, paralysis, mechanical ventilation, and cyproheptadine are administered.The overall goal is prevention of hyperthermia, which leads to multiorgan failure. A core temperature of ≥ 104°F is associated with neurologic cell death, and recovery is minimal.32 Consultation with an experienced toxicologist is strongly recommended.Antipyretics should not be used, because elevated temperature is centrally mediated from muscle rigidity. If presentation occurs within 1 hour, activated charcoal can be used for detoxification of potentially lethal amounts.

Warning Label Controversies

In 2006, the US Food and Drug Administration (FDA) issued an advisory warning against concurrently using a tryptan antimigraine drug and serotonin-mediated medications.39 In 2018, a research team conducted a 14-year retrospective analysis on 20,000 patients who were coprescribed a tryptan drug with SSRIs or SNRIs.40 The study reported that the risk of ST was rare and suggested that the FDA reconsider their advisory. There are several other controversial medications with a ST FDA warning label due to their mechanisms of action and inaccurate case reports.41

Human Poisonings

Consistent with the 2017 American Association of Poison Control Centers Toxic Exposure report, antidepressants continue to be in the top 5 substance classes most frequently involved in human exposures.42 Most accidental ingestions of antidepressants occur in toddlers, whereas intentional ingestions are usually done by adolesents.43 Over the past 10 years, antidepressants are the No. 1 fastest growing category of human exposures in all age groups.42

ST in the Pediatric Population

ST in the pediatric population mirrors that in adults.Differences include the inability of the child to report symptoms, lack of clinician awareness, and reluctance of adolescents to disclose recreational drug use.Management is the same as for adults, including discontinuing the offending drug, supportive care, adequate sedation, oxygen, IV fluids, and continuous cardiac monitoring. Sedation is weight based for benzodiazepines. Mild-to-moderate reactions require admission for observation. Severe reactions require admission to the ICU.

There have been at least 4 published case reports of children aged < 6 years with moderate-to-severe ST secondary to acute vilazodone ingestion.44 The dosages included 5.5 to 37 mg/kg. All 4 patients had altered mental status, seizures, hyperthermia, mild clonus, tachycardia, and hypertension. They all survived with intensive care treatment, including intubation, sedation, cyproheptadine in 2 cases, activated charcoal and IV lorazepam in the other cases.

Direk and colleagues reported a case of a 12-year-old girl who was brought to the emergency department by her stepmother for seizurelike activity and was diagnosed with epilepsy and status epilepticus.45 In the pediatric ICU she developed tachycardia, fever, agitation, dilated pupils, tremors, increased deep tendon reflexes, spontaneous clonus, and horizontal ocular movements. A detailed clinical history was retaken and revealed that the child had been prescribed risperidone 1 week before by the psychiatric clinic due to behavioral problems, including stealing money, lying, and running away from home and school. On further investigation, the stepmother was taking clomipramine and discovered 9 missing pills.

 

 

Pregnancy and Lactation

The American College of Obstetricians and Gynecologists recommends that clinicians screen patients at least once during the perinatal period for depression and anxiety symptoms, using a standardized, validated tool and complete a full assessment of mood and emotional well-being during the postpartum, including screening for postpartum depression and anxiety with a validated instrument.46 Treatment with antidepressants is controversial. “Current evidence is generally reassuring and indicates that the absolute risks of negative infant outcomes are small except for PNAS [poor neonatal adaptation syndrome], which largely appears to be self-limited.”47 Antidepressants cross the human placenta and fetal blood-brain barrier.48 Several cases of infant toxicity from SSRIs have been reported with citalopram and escitalopram.49,50 Symptoms included severe muscle rigidity, lethargy, tachycardia, QTc prolongation, altered consciousness, hypertonia, and seizures at birth. These mothers had taken an SSRI during pregnancy.

Conclusions

This article highlights some of the latest information on ST. Increased awareness of all clinicians and their patients may help decrease unnecessary comorbidities and death. Early identification of ST symptoms will increase the chances for survival, because of the rapid progression of symptoms within 24 hours. Most fatal reactions occur when combining MAOIs with SSRIs, SNRIs, or another MAOI. Overdose with an SSRI does not progress to the severe symptoms unless combined with another serotonin-elevating medication.

Education of all patients who are prescribed antidepressants must include awareness of the potential for serotonergic drug interactions, particularly from OTC medications, herbal medications, and illicit drugs. The diagnosis of ST is based on clinical findings and there must be a history of ingesting serotonin-elevating drug(s). Hunter Serotonin Toxicity Criteria is the gold standard for diagnosing symptoms along with consulting a toxicologist. Prevention of ST includes informed clinicians, patient education, careful prescribing and monitoring, and avoidance of multidrug regimens.

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17. Hengartner MP, Plöderl M. Newer-generation antidepressants and suicide risk in randomized controlled trials; a re-analysis of the FDA database [letter]. Psychother Psychosom. 2019:88:247-248. doi:10.1159/000501215

18. Rosebush PI. Serotonin syndrome. https://www.mhaus.org/nmsis/medical-education-programs/serotonin-syndrome. Accessed March 24, 2020.

19. National Institute of Mental Health. Major depression. https://www.nimh.nih.gov/health/statistics/major-depression.shtml. Updated February 2019. Accessed March 24, 2020.

20. Meadows SO, Engel RL, Beckman RL, et al. 2015 health related behaviors survey: mental and emotional health among U.S. active-duty service members. https://www.rand.org/pubs/research_briefs/RB9955z3.html. Published 2018. Accessed August 17, 2020.

21. ClinCalc. The top 300 drugs of 2020. https://clincalc.com/DrugStats/Top300Drugs.aspx. Update February 11, 2017. Accessed March 24, 2020.

22. Corrigan C. Revealed: massive rise in antidepressant prescribing. https://www.rte.ie/news/investigations-unit/2019/0218/1031271-massive-rise-antidepressant-prescribing. Published June 14, 2019. Accessed August 17, 2020.

23. Skånland SS, Cieślar-Pobuda A. Off-label uses of drugs for depression. Eur J Pharmacol. 2019;865: 172732. doi:10.1016/j.ejphar.2019.172732

24. Bobo WV, Grossardt BR, Lapid MI, et al. Frequency and predictors of the potential overprescribing of antidepressants in elderly residents of a geographically defined U.S. population. Pharmacol Res Perspect. 2019;7(1):e00461. doi:10.1002/prp2.461

25. Patel N. Learning lessons. The Libby Zion case revisited. J Am Coll Cardiol. 2014;64(25):2802-2804. doi:10.1016/j.jacc.2014.11.007

26. Jenkins TA, Nguyen JCD, Polglase KE, Bertrand PP. Influence of tryptophan and serotonin on mood and cognition with a possible role of the gut-brain axis. Nutrients. 2016;8(1):56. doi:10.3390/nu8010056

27. Coleman JA, Green EM, Gouaux E. X-ray structures and mechanism of the human serotonin transporter. Nature Int J Sci. 2016;532(7599):334-339. doi:10.1038/nature17629

28. Garcia-Garcia AL, Newman-Tancredi A, Leonardo ED. 5-HT(1A) [corrected] receptors in mood and anxiety: recent insights into autoreceptor versus heteroreceptor function. Psychopharmacology (Berl). 2013;231(4):623-636. doi:10.1007/s00213-013-3389-x

29. Nautiyal KM, Hen R. Serotonin receptors in depression: from A to B. F1000Res. 2017;6:123. doi:10.12688/f1000research.9736.1

30. Francescangeli J, Karamchandani K, Powell M, Bonavia A. The serotonin syndrome: from molecular mechanisms to clinical practice. Int J Mol Sci. 2019;20(9):2288. doi:10.3390/ijms20092288

31. Little K, Lin CM, Reynolds PM. Delayed serotonin syndrome in the setting of a mixed fluoxetine and serotonin antagonist overdose. Am J Case Rep. 2018;19:604-607. doi:10.12659/AJCR.909063

32. Walter EJ, Carraretto M. The neurological and cognitive consequences of hyperthermia. Crit Care. 2016;20:199. doi:10.1186/s13054-016-1376-4

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33. Platt M, Price T. Heat illness. In: Walls, ed. Rosen’s Emergency Medicine: Concepts and Clinical Practice. Philadelphia, PA: Elsevier; 2018:1755-1764.

34. Dunkley EJC, Isbister GK, Sibbritt D, Dawson AH, Whyte IM. The Hunter Serotonin Toxicity Criteria: simple and accurate diagnostic decision rules for serotonin toxicity. QJM. 2003;96(9):635-642. doi:10.1093/qjmed/hcg109

35. Gillman KP. Serotonin toxicity contrasted with neuroleptic malignant syndrome. https://psychotropical.com/serotonin-syndrome-and-neuroleptic-malignant-syndrome. Published January 1, 2005. Updated November 6, 2017. Accessed August 17, 2020.

36. Asusta HB, Keyser E, Dominguez P, Miller M, Odedokun T. Serotonin syndrome in obstetrics: a case report and review of management. Mil Med. 2018;184(1-2):e284-e286. doi:10.1093/milmed/usy135

37. English FA, Kenny LC, McCarthy FP. Risk factors and effective management of preeclampsia. Integr Blood Press Control 2015;8:7-12. doi:10.2147/IBPC.S50641

38. Bruggeman C, O’Day CS. Selective serotonin reuptake inhibitor (SSRI) toxicity. https://pubmed.ncbi.nlm.nih.gov/30521236. Published December 3, 2019. Accessed August 17, 2020.

39. US Food and Drug Administration. Selective serotonin reuptake inhibitors (SSRIs) Information. https://www.fda.gov/drugs/information-drug-class/selective-serotonin-reuptake-inhibitors-ssris-information. Updated December 23, 2014. Accessed March 24, 2020.

40. Orlova Y, Rizzoli P, Loder E. Association of coprescription of triptan antimigraine drugs and selective serotonin reuptake inhibitor or selective norepinephrine reuptake inhibitor antidepressants with serotonin syndrome. JAMA Neurol. 2018;75(5):566-572. doi:10.1001/jamaneurol.2017.5144

41. Gillman KP. Regulatory agencies (WH0, FDA) offer ill-conceived advice about serotonin toxicity (serotonin syndrome) with 5–HT3 antagonist: a worldwide problem. https://psychotropical.com/serotonin-toxicity-and-5-ht3-antagonists. Published November 13, 2014. Updated March 23, 2019. Accessed August 17, 2020.

42. Gummin DD, Mowry JB, Spyker DA, Brooks DE, Osterthaler KM, Banner W. 2017 Annual Report of the American Association of Poison Control Centers’ National Poison Data System (NPDS): 35th Annual Report. Clin Toxicol (Phila). 2018;56(12):1213-1415. doi:10.1080/15563650.2018.1533727

43. Badawy MK, Maffei FA. Pediatric selective serotonin reuptake inhibitor toxicity. https://emedicine.medscape.com/article/1011436. Updated September 27, 2019. Accessed August 17, 2020.

44. Laliberte B, Kishk OA. Serotonin syndrome in a pediatric patient after vilazodone ingestion. Pediatr Emerg Care. 2018;34(12):e226-e228. doi:10.1097/PEC.0000000000001115

45. Direk MC, Yildirim V, Gϋnes S, Bozlu G, Okuyaz C. Serotonin syndrome after clomipramine overdose in a child. Clin Psychopharmacol Neurosci. 2016;14(4):388-390. doi:10.9758/cpn.2016.14.4.38846. ACOG Committee Opinion No. 757: Screening for perinatal depression. Obstet Gynecol. 2018;132(5):e208-e212. doi:10.1097/AOG.0000000000002927

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49. Degiacomo J, Luedtke S. Neonatal toxicity from escitalopram use in utero: a case report. J Pediatr Pharmacol Ther. 2016;21(6):522-526. doi:10.5863/1551-6776-21.6.522

50. Eleftheriou G, Butera R, Cottini FC, Bonati M, Farina M. Neonatal toxicity following maternal citalopram treatment. Fetal Pediatr Pathol. 2013;32(5):362-356. doi:10.3109/15513815.2013.768743

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The opinions expressed herein are those of the author and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations— including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Disclaimer
The opinions expressed herein are those of the author and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations— including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Related Articles

Serotonin, or 5-hydroxytryptamine (5-HT), is a chemical neurotransmitter in the central and peripheral nervous systems that was discovered in 1940s. 1 O ne of the most widely studied chemical messengers , serotonin influences many physiologic functions in humans, including regulation of mood, sleep-wake cycle, appetite suppression, memory, emesis, breathing, cognition, blood coagulation, libido, and many other functions. 2 In 1992, Insel and colleagues first document ed the toxic symptoms produced from too much serotonin in the central and peripheral nervous systems , naming it serotonin syndrome. 3,4

Serotonin Syndrome

Experts in the fields of psychiatry, pharmacy, and toxicology refer to these symptoms as serotonin toxicity, because the symptoms result from the toxic effects of too much serotonin.5-9 The term toxicity instead of syndrome “clarifies that it is a form of poisoning, just as lithium toxicity is a form of poisoning.”6 Therefore, serotonin toxicity (ST) can develop with administration of any serotonin-enhancing medication, including therapeutic use, polypharmacy, or accidental/intentional drug overdose.

The incidence of ST has increased over the past decade.5,6,10,11 Several reasons explain this increase: (1) ST mirrors the increase in depression in the US populations10,12,13; (2) There has been an increase in off-label antidepressant prescribing by both primary care and mental health providers14-16; (3) the increased use of illicit drugs13; (4) an increase in suicide attempts with antidepressants17; and (5) increased use of opioids for pain management, including both prescription and illicit use.11,14 This paper reviews the potential lethal combinations of commonly prescribed medications used to treat both veteran and nonveteran patients and includes the latest information on offending medications; a presentation of symptoms from in utero to adult; diagnostic criteria; and recommended treatments.

The Veterans Health Administration (VHA) and non-VHA health care providers can play a key role in identifying and preventing serotonin syndrome/ST by keeping abreast of the latest updates of potentially lethal drug combinations. Commonly prescribed medications with the potential for a reaction include antidepressants, anxiolytics, pain medications, antinausea medications, herbal medications, and over-the-counter (OTC) medications, such as cough suppressants. Patients may be at increased risk for ST due to the growth of polypharmacy management of comorbidities.

Antidepressants

Over the past decade, antidepressant use has increased substantially in the US,United Kingdom, and Canada.14 Also the types of antidepressants prescribed has changed and been replaced with the newer agents. The selective serotonin reuptake inhibitors (SSRIs) and selective norepinephrine reuptake inhibitors (SNRIs) have replaced the older tricyclics (TCAs) and monoamine oxidase inhibitors (MAOIs) as first-line treatments for depression due to their improved comparative efficacy, reduced mortality following overdose, adverse effects (AEs) that are more tolerable for most patients, and the SSRIs have no anticholinergic properties (except paroxetine) (Table 1).18

In 2017 the National Institute of Mental Health reported that about 17 million adults and 3 million adolescents (aged 11-18 years) experienced at least 1 episode of major depression.19 About 40% of US veterans will experience depression, which is 3 times higher than the rate of the general US population.12 A random sampling survey conducted of about 17,000 active-duty service members by the US Department of Defense (DoD) from November 2015 to April 2016 revealed 9.4% reported depression.20 Antidepressant usage in the US and among veterans continues to increase.12,16 In 2018, the list of top US prescribed drugs, included sertraline (14th), citalopram (21st), trazodone (24th), and escitalopram (26th).21 Antidepressant prescribing in the US increased 18% from 2012 to 2017.22 This trend also continues within the military with a 40% increase of antidepressant use in the past decade.16

One reason for the increase in antidepressant use is off-label prescribing.14,23 A sampling of about 2 billion psychiatric outpatient visits in a western portion of the US found 12.9% of the prescriptions filled were off-label.15 In Minnesota, off-label prescribing of antidepressants was found to contribute to an increase in drug interactions in elderly nursing home residents.24 An investigation by the Military Times of the military community revealed off-label prescribing occurs not only with antidepressant medications, but also with anticonvulsants, antipsychotics, anti-anxiety drugs, and antiepileptic medications.14

A case report that brought ST to the forefront occurred in the 1980s and involved a college student.25 She was initially diagnosed with the flu. Her symptoms progressed over a 24-hour period despite treatment, leading to seizures, hyperthermia, generalized clonus, muscle rigidity, respiratory failure, and death because of unrecognized ST. Her combination of serotonin-elevating drugs included meperidine, phenelzine, chlorpheniramine, and haldol. On autopsy, there were traces of cocaine found in some of her tissue samples.

 

 

Pathophysiology

Tryptophan is a precursor of serotonin and must be ingested from foods, including meats, dairy, fruits, and seeds. About 90% of all serotonin is made in the gastrointestinal epithelium and is the major component of the brain-gut axis.26 Serotonin cannot cross the blood-brain barrier; therefore, it is synthesized and stored in presynaptic terminals around the midline of the brainstem.1,26 Transport of serotonin is provided by serotonin transporter (SERT).1,26,27 Once released, serotonin can either stimulate postsynaptic neuron receptors or is taken up into the presynaptic terminals for reuse. SSRI antidepressants, such as citalopram and paroxetine inhibit the reuptake of serotonin by binding to 2 different sites on the SERT thus allowing more available serotonin to be accessible to other neurons.27 There are 7 families of serotonin receptors, 5-HT1 to 5-HT7 and at least 15 mammalian subtypes.28,29 The majority of these receptors have been implicated in depression or depressive-like behavior as evidenced by the efficacy of increasing extracellular serotonin for the treatment of depression with SSRIs, SNRIs, TCAs, and MAOIs.29 Three of the most studied receptors include 5-HTIA,5-HT1B,and 5-HT2A.

Etiology

Most serotonin-induced drug fatalities occur when combining serotonergic drugs that work through different pathways (Table 2).30 The most toxic combination of serotonin-enhancing drugs includes MAOIs taken with SSRIs or SNRIs, or a combination of 2 MAOIs.5-9

Other potentially lethal combinations may includepolypharmacy with antidepressants, pain medications, OTC medications, and illicit drugs. Linezolid, a new synthetic antimicrobial, is considered to be a weak MAOI. Therefore, prescribing it with other serotonin-elevating agents has been reported to precipitate ST.18

Most cases of ST do not require hospitalization and can be managed by stopping the medication or decreasing the dose. Therapeutic doses of a single drug are highly unlikely to cause toxicity, although there have been reported cases of patients who are sensitive or more susceptible and develop symptoms after administration of a single agent and/or a dosage increase.

Delayed ST reactions have occurred because of a prolonged half-life of a drug, iron deficiency anemia, and coingestion of shorter acting serotonin antagonists.31 Most antidepressants have a short half-life (< 24 hours)except for fluoxetine. A decrease in iron may contribute to ST because iron is needed to process serotonin from tryptophan. An example of 2 shorter-acting serotonin antagonists include cyproheptadine and olanzapine. Cyproheptadine is used in the treatment of ST, and olanzapine is an antipsychotic.

Symptoms

Symptoms of ST range from mild to severe and include a combination of neuromuscular, autonomic, and mental status changes (Table 3).5,10 Mild symptoms of ST can start within 1 to 2 hours after ingesting a medication that increases serotonin to a toxic state unless the drug has a long half-life (eg, fluoxetine). Sometimes mild symptoms of ST can be difficult to distinguish from common drug AEs, flu symptoms, or viruses. Patients taking therapeutic doses of SSRIs can experience serotonin symptoms, such as lower limb hyperreflexia or a few beats of ankle clonus without being toxic. One thing to remember is that not all patients will start with mild symptoms and may present in moderate or severe distress.

 

 

Moderate-to-severe ST symptoms require hospitalization, usually in the intensive care unit (ICU). At this stage, clonus progresses from the lower extremities to the upper body and becomes more generalized. Ocular clonus can be continuous, intermittent, or have a ping pong effect (short cycle, periodic, alternating lateral gaze).

Severe ST is life threatening and leads to multiorgan failure within hours if not treated. The patient is intubated to assist with breathing and sedated because excess agitation and muscular tremors can increase temperature, which is already elevated by the time the symptoms reach the severe state. Of note, hyperthermia is due to a noninfectious elevation of body temperature from hypertonicity, agitation, and muscle rigidity.A true core temperature > 105.8°F causes irreversible cell damage, cerebral injury, and death.32,33 The patient can develop seizures and a coma. Multiorgan failure occurs, including rhabdomyolysis, myoglobinuria, renal failure, metabolic acidosis, acute respiratory distress, and disseminated intravascular coagulation.

Diagnosis

The diagnosis of ST is clinical and based on a history of ingesting serotonin-elevating medications and physical findings as per Hunter Serotonin Toxicity Criteria34 (Table 4). An in-depth history needs to include previous and current prescriptions, indications of the prescriptions (eg, therapeutic, increase in dosage, suicide intent), OTC medications, and illicit drug use. Early recognition of symptoms, identification of serotonergic medications, and appropriate resuscitative measures lead to more successful outcomes. A serotonin drug level is ineffective and does not correlate with the dosage since serotonin does not cross the blood-brain barrier.

The type of drug determines the length and response of the episode. The drug(s) elimination half-lives need to be calculated along with the pharmacokinetic or pharmacodynamics; agonist, antagonist, reuptake inhibitor, etc. Many drugs have half-lives of < 24 hours; therefore, reducing or eliminating the offending drug(s) will result in a steady reduction of symptoms.Exceptions include medications with a longer activity, such as the irreversible MAOIs (eg, phenelzine, isocarboxazid) and drugs with a longer half-life, such as fluoxetine. These types of medications may have been stopped weeks earlier and may prolong reduction of symptoms.

When initiating or increasing SSRIs or SNRIs, there are common nontoxic AEs that are not consistent with ST, including anxiety, restlessness, and irritability that may last for 2 weeks. The difference in toxic vs nontoxic reactions are the timing and rapid progression of symptoms. The toxic symptoms will start within hours of ingesting the offending agents(s) and progress rapidly to severe symptoms within 24 hours. Therefore, it is imperative to review AEs with the patient and or caregiver, so they may act as their own advocate and seek immediate assistance.

Differentials

There are symptoms specific to ST that can be used to differentiate it from other conditions. These include hyperthermia, bilateral symmetric clonus (inducible, spontaneous, ocular), and hyperreflexia.These criteria form the basis for Hunter criteria.

Differential diagnoses to consider include neuroleptic malignant syndrome; antidepressant initiation AEs; antidepressant discontinuation syndrome; malignant hyperthermia; anticholinergic toxicity; meningitis/encephalitis; sepsis; drug overdose; alcohol/benzodiazepine withdrawal; and preeclampsia. Neuroleptic malignant syndrome (NMS) is the disorder most often misdiagnosed as ST.Key elements that distinguish ST from NMS include the timing of the clinical course (NMS develops over days to weeks); the medications ingested (NMS from dopaminergic drugs); and the symptoms of NMS (bradyreflexia, bradykinesia, bradyphrenia, and no clonus).According to Gillman, serotonin toxicity is a manifestation of toxicity that is predictable and common with specific drug combinations, while NMS is a “rare idiosyncratic reaction to essentially normal doses and very rarely occurs after overdoses.”35 Preeclampsia is a pregnancy complication that can mimic ST with symptoms of hypertension, clonus, and hyperreflexia. It has been estimated to complicate 2% to 8% of pregnancies and remains a principle cause of maternal and fetal morbidity and mortality.36,37

 

 

Treatment

Mild-to-moderate symptoms usually resolve on their own 1 to 3 days after decreasing or stopping the offending drug. The timing will depend on the half-life or active metabolites of the drug. Treatment is largely supportive and may require treatment for control of agitation with benzodiazepines and IV fluids for dehydration/hypotension.14 In cases not responding to supportive care, treatment with oral cyproheptadine is recommended.14

There are other medications that have been used in treatment such as olanzapine, chlorpromazine, propranolol, bromocriptine, dantrolene, droperidol, and haloperidol, but their efficacy is unproven and not recommended.10 Chlorpromazine can cause hypotension and increase hyperthermia. Propranolol has a long duration of action, may cause a prolonged hypotension, and can mask tachycardia that can be used to monitor the effectiveness of treatment.10 Bromocriptine is a serotonin agonist and may exacerbate symptoms. Dantrolene has no effect on survival in animal models.10 Droperidol and haloperidol can worsen hyperthermia by inhibiting sweating.38

Mechanical ventilation should be considered especially if muscle rigidity progresses and depressed respiratory function occurs. If the temperature starts to rise, immediate sedation, paralysis, mechanical ventilation, and cyproheptadine are administered.The overall goal is prevention of hyperthermia, which leads to multiorgan failure. A core temperature of ≥ 104°F is associated with neurologic cell death, and recovery is minimal.32 Consultation with an experienced toxicologist is strongly recommended.Antipyretics should not be used, because elevated temperature is centrally mediated from muscle rigidity. If presentation occurs within 1 hour, activated charcoal can be used for detoxification of potentially lethal amounts.

Warning Label Controversies

In 2006, the US Food and Drug Administration (FDA) issued an advisory warning against concurrently using a tryptan antimigraine drug and serotonin-mediated medications.39 In 2018, a research team conducted a 14-year retrospective analysis on 20,000 patients who were coprescribed a tryptan drug with SSRIs or SNRIs.40 The study reported that the risk of ST was rare and suggested that the FDA reconsider their advisory. There are several other controversial medications with a ST FDA warning label due to their mechanisms of action and inaccurate case reports.41

Human Poisonings

Consistent with the 2017 American Association of Poison Control Centers Toxic Exposure report, antidepressants continue to be in the top 5 substance classes most frequently involved in human exposures.42 Most accidental ingestions of antidepressants occur in toddlers, whereas intentional ingestions are usually done by adolesents.43 Over the past 10 years, antidepressants are the No. 1 fastest growing category of human exposures in all age groups.42

ST in the Pediatric Population

ST in the pediatric population mirrors that in adults.Differences include the inability of the child to report symptoms, lack of clinician awareness, and reluctance of adolescents to disclose recreational drug use.Management is the same as for adults, including discontinuing the offending drug, supportive care, adequate sedation, oxygen, IV fluids, and continuous cardiac monitoring. Sedation is weight based for benzodiazepines. Mild-to-moderate reactions require admission for observation. Severe reactions require admission to the ICU.

There have been at least 4 published case reports of children aged < 6 years with moderate-to-severe ST secondary to acute vilazodone ingestion.44 The dosages included 5.5 to 37 mg/kg. All 4 patients had altered mental status, seizures, hyperthermia, mild clonus, tachycardia, and hypertension. They all survived with intensive care treatment, including intubation, sedation, cyproheptadine in 2 cases, activated charcoal and IV lorazepam in the other cases.

Direk and colleagues reported a case of a 12-year-old girl who was brought to the emergency department by her stepmother for seizurelike activity and was diagnosed with epilepsy and status epilepticus.45 In the pediatric ICU she developed tachycardia, fever, agitation, dilated pupils, tremors, increased deep tendon reflexes, spontaneous clonus, and horizontal ocular movements. A detailed clinical history was retaken and revealed that the child had been prescribed risperidone 1 week before by the psychiatric clinic due to behavioral problems, including stealing money, lying, and running away from home and school. On further investigation, the stepmother was taking clomipramine and discovered 9 missing pills.

 

 

Pregnancy and Lactation

The American College of Obstetricians and Gynecologists recommends that clinicians screen patients at least once during the perinatal period for depression and anxiety symptoms, using a standardized, validated tool and complete a full assessment of mood and emotional well-being during the postpartum, including screening for postpartum depression and anxiety with a validated instrument.46 Treatment with antidepressants is controversial. “Current evidence is generally reassuring and indicates that the absolute risks of negative infant outcomes are small except for PNAS [poor neonatal adaptation syndrome], which largely appears to be self-limited.”47 Antidepressants cross the human placenta and fetal blood-brain barrier.48 Several cases of infant toxicity from SSRIs have been reported with citalopram and escitalopram.49,50 Symptoms included severe muscle rigidity, lethargy, tachycardia, QTc prolongation, altered consciousness, hypertonia, and seizures at birth. These mothers had taken an SSRI during pregnancy.

Conclusions

This article highlights some of the latest information on ST. Increased awareness of all clinicians and their patients may help decrease unnecessary comorbidities and death. Early identification of ST symptoms will increase the chances for survival, because of the rapid progression of symptoms within 24 hours. Most fatal reactions occur when combining MAOIs with SSRIs, SNRIs, or another MAOI. Overdose with an SSRI does not progress to the severe symptoms unless combined with another serotonin-elevating medication.

Education of all patients who are prescribed antidepressants must include awareness of the potential for serotonergic drug interactions, particularly from OTC medications, herbal medications, and illicit drugs. The diagnosis of ST is based on clinical findings and there must be a history of ingesting serotonin-elevating drug(s). Hunter Serotonin Toxicity Criteria is the gold standard for diagnosing symptoms along with consulting a toxicologist. Prevention of ST includes informed clinicians, patient education, careful prescribing and monitoring, and avoidance of multidrug regimens.

Serotonin, or 5-hydroxytryptamine (5-HT), is a chemical neurotransmitter in the central and peripheral nervous systems that was discovered in 1940s. 1 O ne of the most widely studied chemical messengers , serotonin influences many physiologic functions in humans, including regulation of mood, sleep-wake cycle, appetite suppression, memory, emesis, breathing, cognition, blood coagulation, libido, and many other functions. 2 In 1992, Insel and colleagues first document ed the toxic symptoms produced from too much serotonin in the central and peripheral nervous systems , naming it serotonin syndrome. 3,4

Serotonin Syndrome

Experts in the fields of psychiatry, pharmacy, and toxicology refer to these symptoms as serotonin toxicity, because the symptoms result from the toxic effects of too much serotonin.5-9 The term toxicity instead of syndrome “clarifies that it is a form of poisoning, just as lithium toxicity is a form of poisoning.”6 Therefore, serotonin toxicity (ST) can develop with administration of any serotonin-enhancing medication, including therapeutic use, polypharmacy, or accidental/intentional drug overdose.

The incidence of ST has increased over the past decade.5,6,10,11 Several reasons explain this increase: (1) ST mirrors the increase in depression in the US populations10,12,13; (2) There has been an increase in off-label antidepressant prescribing by both primary care and mental health providers14-16; (3) the increased use of illicit drugs13; (4) an increase in suicide attempts with antidepressants17; and (5) increased use of opioids for pain management, including both prescription and illicit use.11,14 This paper reviews the potential lethal combinations of commonly prescribed medications used to treat both veteran and nonveteran patients and includes the latest information on offending medications; a presentation of symptoms from in utero to adult; diagnostic criteria; and recommended treatments.

The Veterans Health Administration (VHA) and non-VHA health care providers can play a key role in identifying and preventing serotonin syndrome/ST by keeping abreast of the latest updates of potentially lethal drug combinations. Commonly prescribed medications with the potential for a reaction include antidepressants, anxiolytics, pain medications, antinausea medications, herbal medications, and over-the-counter (OTC) medications, such as cough suppressants. Patients may be at increased risk for ST due to the growth of polypharmacy management of comorbidities.

Antidepressants

Over the past decade, antidepressant use has increased substantially in the US,United Kingdom, and Canada.14 Also the types of antidepressants prescribed has changed and been replaced with the newer agents. The selective serotonin reuptake inhibitors (SSRIs) and selective norepinephrine reuptake inhibitors (SNRIs) have replaced the older tricyclics (TCAs) and monoamine oxidase inhibitors (MAOIs) as first-line treatments for depression due to their improved comparative efficacy, reduced mortality following overdose, adverse effects (AEs) that are more tolerable for most patients, and the SSRIs have no anticholinergic properties (except paroxetine) (Table 1).18

In 2017 the National Institute of Mental Health reported that about 17 million adults and 3 million adolescents (aged 11-18 years) experienced at least 1 episode of major depression.19 About 40% of US veterans will experience depression, which is 3 times higher than the rate of the general US population.12 A random sampling survey conducted of about 17,000 active-duty service members by the US Department of Defense (DoD) from November 2015 to April 2016 revealed 9.4% reported depression.20 Antidepressant usage in the US and among veterans continues to increase.12,16 In 2018, the list of top US prescribed drugs, included sertraline (14th), citalopram (21st), trazodone (24th), and escitalopram (26th).21 Antidepressant prescribing in the US increased 18% from 2012 to 2017.22 This trend also continues within the military with a 40% increase of antidepressant use in the past decade.16

One reason for the increase in antidepressant use is off-label prescribing.14,23 A sampling of about 2 billion psychiatric outpatient visits in a western portion of the US found 12.9% of the prescriptions filled were off-label.15 In Minnesota, off-label prescribing of antidepressants was found to contribute to an increase in drug interactions in elderly nursing home residents.24 An investigation by the Military Times of the military community revealed off-label prescribing occurs not only with antidepressant medications, but also with anticonvulsants, antipsychotics, anti-anxiety drugs, and antiepileptic medications.14

A case report that brought ST to the forefront occurred in the 1980s and involved a college student.25 She was initially diagnosed with the flu. Her symptoms progressed over a 24-hour period despite treatment, leading to seizures, hyperthermia, generalized clonus, muscle rigidity, respiratory failure, and death because of unrecognized ST. Her combination of serotonin-elevating drugs included meperidine, phenelzine, chlorpheniramine, and haldol. On autopsy, there were traces of cocaine found in some of her tissue samples.

 

 

Pathophysiology

Tryptophan is a precursor of serotonin and must be ingested from foods, including meats, dairy, fruits, and seeds. About 90% of all serotonin is made in the gastrointestinal epithelium and is the major component of the brain-gut axis.26 Serotonin cannot cross the blood-brain barrier; therefore, it is synthesized and stored in presynaptic terminals around the midline of the brainstem.1,26 Transport of serotonin is provided by serotonin transporter (SERT).1,26,27 Once released, serotonin can either stimulate postsynaptic neuron receptors or is taken up into the presynaptic terminals for reuse. SSRI antidepressants, such as citalopram and paroxetine inhibit the reuptake of serotonin by binding to 2 different sites on the SERT thus allowing more available serotonin to be accessible to other neurons.27 There are 7 families of serotonin receptors, 5-HT1 to 5-HT7 and at least 15 mammalian subtypes.28,29 The majority of these receptors have been implicated in depression or depressive-like behavior as evidenced by the efficacy of increasing extracellular serotonin for the treatment of depression with SSRIs, SNRIs, TCAs, and MAOIs.29 Three of the most studied receptors include 5-HTIA,5-HT1B,and 5-HT2A.

Etiology

Most serotonin-induced drug fatalities occur when combining serotonergic drugs that work through different pathways (Table 2).30 The most toxic combination of serotonin-enhancing drugs includes MAOIs taken with SSRIs or SNRIs, or a combination of 2 MAOIs.5-9

Other potentially lethal combinations may includepolypharmacy with antidepressants, pain medications, OTC medications, and illicit drugs. Linezolid, a new synthetic antimicrobial, is considered to be a weak MAOI. Therefore, prescribing it with other serotonin-elevating agents has been reported to precipitate ST.18

Most cases of ST do not require hospitalization and can be managed by stopping the medication or decreasing the dose. Therapeutic doses of a single drug are highly unlikely to cause toxicity, although there have been reported cases of patients who are sensitive or more susceptible and develop symptoms after administration of a single agent and/or a dosage increase.

Delayed ST reactions have occurred because of a prolonged half-life of a drug, iron deficiency anemia, and coingestion of shorter acting serotonin antagonists.31 Most antidepressants have a short half-life (< 24 hours)except for fluoxetine. A decrease in iron may contribute to ST because iron is needed to process serotonin from tryptophan. An example of 2 shorter-acting serotonin antagonists include cyproheptadine and olanzapine. Cyproheptadine is used in the treatment of ST, and olanzapine is an antipsychotic.

Symptoms

Symptoms of ST range from mild to severe and include a combination of neuromuscular, autonomic, and mental status changes (Table 3).5,10 Mild symptoms of ST can start within 1 to 2 hours after ingesting a medication that increases serotonin to a toxic state unless the drug has a long half-life (eg, fluoxetine). Sometimes mild symptoms of ST can be difficult to distinguish from common drug AEs, flu symptoms, or viruses. Patients taking therapeutic doses of SSRIs can experience serotonin symptoms, such as lower limb hyperreflexia or a few beats of ankle clonus without being toxic. One thing to remember is that not all patients will start with mild symptoms and may present in moderate or severe distress.

 

 

Moderate-to-severe ST symptoms require hospitalization, usually in the intensive care unit (ICU). At this stage, clonus progresses from the lower extremities to the upper body and becomes more generalized. Ocular clonus can be continuous, intermittent, or have a ping pong effect (short cycle, periodic, alternating lateral gaze).

Severe ST is life threatening and leads to multiorgan failure within hours if not treated. The patient is intubated to assist with breathing and sedated because excess agitation and muscular tremors can increase temperature, which is already elevated by the time the symptoms reach the severe state. Of note, hyperthermia is due to a noninfectious elevation of body temperature from hypertonicity, agitation, and muscle rigidity.A true core temperature > 105.8°F causes irreversible cell damage, cerebral injury, and death.32,33 The patient can develop seizures and a coma. Multiorgan failure occurs, including rhabdomyolysis, myoglobinuria, renal failure, metabolic acidosis, acute respiratory distress, and disseminated intravascular coagulation.

Diagnosis

The diagnosis of ST is clinical and based on a history of ingesting serotonin-elevating medications and physical findings as per Hunter Serotonin Toxicity Criteria34 (Table 4). An in-depth history needs to include previous and current prescriptions, indications of the prescriptions (eg, therapeutic, increase in dosage, suicide intent), OTC medications, and illicit drug use. Early recognition of symptoms, identification of serotonergic medications, and appropriate resuscitative measures lead to more successful outcomes. A serotonin drug level is ineffective and does not correlate with the dosage since serotonin does not cross the blood-brain barrier.

The type of drug determines the length and response of the episode. The drug(s) elimination half-lives need to be calculated along with the pharmacokinetic or pharmacodynamics; agonist, antagonist, reuptake inhibitor, etc. Many drugs have half-lives of < 24 hours; therefore, reducing or eliminating the offending drug(s) will result in a steady reduction of symptoms.Exceptions include medications with a longer activity, such as the irreversible MAOIs (eg, phenelzine, isocarboxazid) and drugs with a longer half-life, such as fluoxetine. These types of medications may have been stopped weeks earlier and may prolong reduction of symptoms.

When initiating or increasing SSRIs or SNRIs, there are common nontoxic AEs that are not consistent with ST, including anxiety, restlessness, and irritability that may last for 2 weeks. The difference in toxic vs nontoxic reactions are the timing and rapid progression of symptoms. The toxic symptoms will start within hours of ingesting the offending agents(s) and progress rapidly to severe symptoms within 24 hours. Therefore, it is imperative to review AEs with the patient and or caregiver, so they may act as their own advocate and seek immediate assistance.

Differentials

There are symptoms specific to ST that can be used to differentiate it from other conditions. These include hyperthermia, bilateral symmetric clonus (inducible, spontaneous, ocular), and hyperreflexia.These criteria form the basis for Hunter criteria.

Differential diagnoses to consider include neuroleptic malignant syndrome; antidepressant initiation AEs; antidepressant discontinuation syndrome; malignant hyperthermia; anticholinergic toxicity; meningitis/encephalitis; sepsis; drug overdose; alcohol/benzodiazepine withdrawal; and preeclampsia. Neuroleptic malignant syndrome (NMS) is the disorder most often misdiagnosed as ST.Key elements that distinguish ST from NMS include the timing of the clinical course (NMS develops over days to weeks); the medications ingested (NMS from dopaminergic drugs); and the symptoms of NMS (bradyreflexia, bradykinesia, bradyphrenia, and no clonus).According to Gillman, serotonin toxicity is a manifestation of toxicity that is predictable and common with specific drug combinations, while NMS is a “rare idiosyncratic reaction to essentially normal doses and very rarely occurs after overdoses.”35 Preeclampsia is a pregnancy complication that can mimic ST with symptoms of hypertension, clonus, and hyperreflexia. It has been estimated to complicate 2% to 8% of pregnancies and remains a principle cause of maternal and fetal morbidity and mortality.36,37

 

 

Treatment

Mild-to-moderate symptoms usually resolve on their own 1 to 3 days after decreasing or stopping the offending drug. The timing will depend on the half-life or active metabolites of the drug. Treatment is largely supportive and may require treatment for control of agitation with benzodiazepines and IV fluids for dehydration/hypotension.14 In cases not responding to supportive care, treatment with oral cyproheptadine is recommended.14

There are other medications that have been used in treatment such as olanzapine, chlorpromazine, propranolol, bromocriptine, dantrolene, droperidol, and haloperidol, but their efficacy is unproven and not recommended.10 Chlorpromazine can cause hypotension and increase hyperthermia. Propranolol has a long duration of action, may cause a prolonged hypotension, and can mask tachycardia that can be used to monitor the effectiveness of treatment.10 Bromocriptine is a serotonin agonist and may exacerbate symptoms. Dantrolene has no effect on survival in animal models.10 Droperidol and haloperidol can worsen hyperthermia by inhibiting sweating.38

Mechanical ventilation should be considered especially if muscle rigidity progresses and depressed respiratory function occurs. If the temperature starts to rise, immediate sedation, paralysis, mechanical ventilation, and cyproheptadine are administered.The overall goal is prevention of hyperthermia, which leads to multiorgan failure. A core temperature of ≥ 104°F is associated with neurologic cell death, and recovery is minimal.32 Consultation with an experienced toxicologist is strongly recommended.Antipyretics should not be used, because elevated temperature is centrally mediated from muscle rigidity. If presentation occurs within 1 hour, activated charcoal can be used for detoxification of potentially lethal amounts.

Warning Label Controversies

In 2006, the US Food and Drug Administration (FDA) issued an advisory warning against concurrently using a tryptan antimigraine drug and serotonin-mediated medications.39 In 2018, a research team conducted a 14-year retrospective analysis on 20,000 patients who were coprescribed a tryptan drug with SSRIs or SNRIs.40 The study reported that the risk of ST was rare and suggested that the FDA reconsider their advisory. There are several other controversial medications with a ST FDA warning label due to their mechanisms of action and inaccurate case reports.41

Human Poisonings

Consistent with the 2017 American Association of Poison Control Centers Toxic Exposure report, antidepressants continue to be in the top 5 substance classes most frequently involved in human exposures.42 Most accidental ingestions of antidepressants occur in toddlers, whereas intentional ingestions are usually done by adolesents.43 Over the past 10 years, antidepressants are the No. 1 fastest growing category of human exposures in all age groups.42

ST in the Pediatric Population

ST in the pediatric population mirrors that in adults.Differences include the inability of the child to report symptoms, lack of clinician awareness, and reluctance of adolescents to disclose recreational drug use.Management is the same as for adults, including discontinuing the offending drug, supportive care, adequate sedation, oxygen, IV fluids, and continuous cardiac monitoring. Sedation is weight based for benzodiazepines. Mild-to-moderate reactions require admission for observation. Severe reactions require admission to the ICU.

There have been at least 4 published case reports of children aged < 6 years with moderate-to-severe ST secondary to acute vilazodone ingestion.44 The dosages included 5.5 to 37 mg/kg. All 4 patients had altered mental status, seizures, hyperthermia, mild clonus, tachycardia, and hypertension. They all survived with intensive care treatment, including intubation, sedation, cyproheptadine in 2 cases, activated charcoal and IV lorazepam in the other cases.

Direk and colleagues reported a case of a 12-year-old girl who was brought to the emergency department by her stepmother for seizurelike activity and was diagnosed with epilepsy and status epilepticus.45 In the pediatric ICU she developed tachycardia, fever, agitation, dilated pupils, tremors, increased deep tendon reflexes, spontaneous clonus, and horizontal ocular movements. A detailed clinical history was retaken and revealed that the child had been prescribed risperidone 1 week before by the psychiatric clinic due to behavioral problems, including stealing money, lying, and running away from home and school. On further investigation, the stepmother was taking clomipramine and discovered 9 missing pills.

 

 

Pregnancy and Lactation

The American College of Obstetricians and Gynecologists recommends that clinicians screen patients at least once during the perinatal period for depression and anxiety symptoms, using a standardized, validated tool and complete a full assessment of mood and emotional well-being during the postpartum, including screening for postpartum depression and anxiety with a validated instrument.46 Treatment with antidepressants is controversial. “Current evidence is generally reassuring and indicates that the absolute risks of negative infant outcomes are small except for PNAS [poor neonatal adaptation syndrome], which largely appears to be self-limited.”47 Antidepressants cross the human placenta and fetal blood-brain barrier.48 Several cases of infant toxicity from SSRIs have been reported with citalopram and escitalopram.49,50 Symptoms included severe muscle rigidity, lethargy, tachycardia, QTc prolongation, altered consciousness, hypertonia, and seizures at birth. These mothers had taken an SSRI during pregnancy.

Conclusions

This article highlights some of the latest information on ST. Increased awareness of all clinicians and their patients may help decrease unnecessary comorbidities and death. Early identification of ST symptoms will increase the chances for survival, because of the rapid progression of symptoms within 24 hours. Most fatal reactions occur when combining MAOIs with SSRIs, SNRIs, or another MAOI. Overdose with an SSRI does not progress to the severe symptoms unless combined with another serotonin-elevating medication.

Education of all patients who are prescribed antidepressants must include awareness of the potential for serotonergic drug interactions, particularly from OTC medications, herbal medications, and illicit drugs. The diagnosis of ST is based on clinical findings and there must be a history of ingesting serotonin-elevating drug(s). Hunter Serotonin Toxicity Criteria is the gold standard for diagnosing symptoms along with consulting a toxicologist. Prevention of ST includes informed clinicians, patient education, careful prescribing and monitoring, and avoidance of multidrug regimens.

References

1. Rapport MM, Green AA, Page IH. Serum vasoconstrictor, serotonin; isolation and characterization. J Biol Chem. 1948;176(3):1243-1251.

2. McCorvy JD, Roth BL. Structure and function of serotonin g protein coupled receptors. Pharmacol Ther. 2015;150:129-142. doi:10.1016/j.pharmthera. 2015.01.009 3. Insel TR, Roy BF, Cohen RM, Murphy DL. Possible development of serotonin syndrome in man. Am J Psychiatry. 1982;139(7):954-955. doi:10.1176/ajp.139.7.954

4. Scotton WJ, Hill LJ, Williams AC, Barnes NM. Serotonin syndrome: pathophysiology, clinical features, management, and potential future directions. Int J Tryptophan Res. 2019;12:1-14. doi:10.1177/1178646919873925

5. Buckley N, Dawson AH, Isbister GK. Serotonin syndrome. BMJ. 2014;348:g1626. doi:10.1136/bmj.g1626

6. Gillman KP. Serotonin toxicity: introduction. https://psychotropical.com/serotonin-toxicity-introduction. Published November 13, 2014. Updated July 13, 2019. Accessed August 17, 2020.

7. Foong A-L, Patel T, Kellar J, Grindrod KA. The scoop on serotonin syndrome. Can Pharm J (OTT). 2018;151(4):233-239. doi:10.1177/1715163518779096

8. Foong A-L, Grindrod KA, Patel T, Kellar J. Demystifying serotonin syndrome (or serotonin toxicity). Can Fam Physician. 2018;64(10):720-727.

9. Gillman KP. Serotonin toxicity: summary. https://psychotropical.com/serotonin-toxicity-summary. Published November 13, 2014. Updated January 25, 2018. Accessed August 17, 2020.

10. Boyer EW. Serotonin syndrome (serotonin toxicity). https://www.uptodate.com/contents/serotonin-syndrome-serotonin-toxicity. Updated March 12, 2018. Access December 12, 2019.

11. Wang RZ, Vashistha V, Kaur S, Houchens NW. Serotonin syndrome: preventing, recognizing, and treating it. Cleve Clin J Med. 2016;83(11):810-817. doi:10.3949/ccjm.83a.15129

12. Walker T. The economic burden of depression among veterans. https://www.managedhealthcareexecutive.com/article/economic-burden-depression-among-veterans. Published November 9, 2018. Accessed August 17, 2020.

13. Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics and Quality. Key substance use and mental health indicators in the United States: results from the 2018 National Survey on Drug Use and Health (HHS Publication No. PEP19-5068, NSDUH Series H-54). Rockville, MD: Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration; 2019.

14. Wong J, Motulsky A, Abrahamowicz M, et al. Off label indications for antidepressants in primary care; descriptive study of prescriptions from an indication based electronic prescribing system. BMJ. 2017;356:j603. doi:org/10.1136/bmj.j603

15. Vijay A, Becker JE, Ross JS. Patterns and predictors of off-label prescription of psychiatric drugs. PLOS One. 2018;13(7):e0198363. doi:10.1371/journal.pone.0198363

16. Medicating the military—use of psychiatric drugs has spiked; concerns surface about suicide, other dangers. https://www.militarytimes.com/2013/03/29/medicating-the-military-use-of-psychiatric-drugs-has-spiked-concerns-surface-about-suicide-other-dangers. Published March 29, 2013. Accessed August 17, 2020.

17. Hengartner MP, Plöderl M. Newer-generation antidepressants and suicide risk in randomized controlled trials; a re-analysis of the FDA database [letter]. Psychother Psychosom. 2019:88:247-248. doi:10.1159/000501215

18. Rosebush PI. Serotonin syndrome. https://www.mhaus.org/nmsis/medical-education-programs/serotonin-syndrome. Accessed March 24, 2020.

19. National Institute of Mental Health. Major depression. https://www.nimh.nih.gov/health/statistics/major-depression.shtml. Updated February 2019. Accessed March 24, 2020.

20. Meadows SO, Engel RL, Beckman RL, et al. 2015 health related behaviors survey: mental and emotional health among U.S. active-duty service members. https://www.rand.org/pubs/research_briefs/RB9955z3.html. Published 2018. Accessed August 17, 2020.

21. ClinCalc. The top 300 drugs of 2020. https://clincalc.com/DrugStats/Top300Drugs.aspx. Update February 11, 2017. Accessed March 24, 2020.

22. Corrigan C. Revealed: massive rise in antidepressant prescribing. https://www.rte.ie/news/investigations-unit/2019/0218/1031271-massive-rise-antidepressant-prescribing. Published June 14, 2019. Accessed August 17, 2020.

23. Skånland SS, Cieślar-Pobuda A. Off-label uses of drugs for depression. Eur J Pharmacol. 2019;865: 172732. doi:10.1016/j.ejphar.2019.172732

24. Bobo WV, Grossardt BR, Lapid MI, et al. Frequency and predictors of the potential overprescribing of antidepressants in elderly residents of a geographically defined U.S. population. Pharmacol Res Perspect. 2019;7(1):e00461. doi:10.1002/prp2.461

25. Patel N. Learning lessons. The Libby Zion case revisited. J Am Coll Cardiol. 2014;64(25):2802-2804. doi:10.1016/j.jacc.2014.11.007

26. Jenkins TA, Nguyen JCD, Polglase KE, Bertrand PP. Influence of tryptophan and serotonin on mood and cognition with a possible role of the gut-brain axis. Nutrients. 2016;8(1):56. doi:10.3390/nu8010056

27. Coleman JA, Green EM, Gouaux E. X-ray structures and mechanism of the human serotonin transporter. Nature Int J Sci. 2016;532(7599):334-339. doi:10.1038/nature17629

28. Garcia-Garcia AL, Newman-Tancredi A, Leonardo ED. 5-HT(1A) [corrected] receptors in mood and anxiety: recent insights into autoreceptor versus heteroreceptor function. Psychopharmacology (Berl). 2013;231(4):623-636. doi:10.1007/s00213-013-3389-x

29. Nautiyal KM, Hen R. Serotonin receptors in depression: from A to B. F1000Res. 2017;6:123. doi:10.12688/f1000research.9736.1

30. Francescangeli J, Karamchandani K, Powell M, Bonavia A. The serotonin syndrome: from molecular mechanisms to clinical practice. Int J Mol Sci. 2019;20(9):2288. doi:10.3390/ijms20092288

31. Little K, Lin CM, Reynolds PM. Delayed serotonin syndrome in the setting of a mixed fluoxetine and serotonin antagonist overdose. Am J Case Rep. 2018;19:604-607. doi:10.12659/AJCR.909063

32. Walter EJ, Carraretto M. The neurological and cognitive consequences of hyperthermia. Crit Care. 2016;20:199. doi:10.1186/s13054-016-1376-4

<--pagebreak-->

33. Platt M, Price T. Heat illness. In: Walls, ed. Rosen’s Emergency Medicine: Concepts and Clinical Practice. Philadelphia, PA: Elsevier; 2018:1755-1764.

34. Dunkley EJC, Isbister GK, Sibbritt D, Dawson AH, Whyte IM. The Hunter Serotonin Toxicity Criteria: simple and accurate diagnostic decision rules for serotonin toxicity. QJM. 2003;96(9):635-642. doi:10.1093/qjmed/hcg109

35. Gillman KP. Serotonin toxicity contrasted with neuroleptic malignant syndrome. https://psychotropical.com/serotonin-syndrome-and-neuroleptic-malignant-syndrome. Published January 1, 2005. Updated November 6, 2017. Accessed August 17, 2020.

36. Asusta HB, Keyser E, Dominguez P, Miller M, Odedokun T. Serotonin syndrome in obstetrics: a case report and review of management. Mil Med. 2018;184(1-2):e284-e286. doi:10.1093/milmed/usy135

37. English FA, Kenny LC, McCarthy FP. Risk factors and effective management of preeclampsia. Integr Blood Press Control 2015;8:7-12. doi:10.2147/IBPC.S50641

38. Bruggeman C, O’Day CS. Selective serotonin reuptake inhibitor (SSRI) toxicity. https://pubmed.ncbi.nlm.nih.gov/30521236. Published December 3, 2019. Accessed August 17, 2020.

39. US Food and Drug Administration. Selective serotonin reuptake inhibitors (SSRIs) Information. https://www.fda.gov/drugs/information-drug-class/selective-serotonin-reuptake-inhibitors-ssris-information. Updated December 23, 2014. Accessed March 24, 2020.

40. Orlova Y, Rizzoli P, Loder E. Association of coprescription of triptan antimigraine drugs and selective serotonin reuptake inhibitor or selective norepinephrine reuptake inhibitor antidepressants with serotonin syndrome. JAMA Neurol. 2018;75(5):566-572. doi:10.1001/jamaneurol.2017.5144

41. Gillman KP. Regulatory agencies (WH0, FDA) offer ill-conceived advice about serotonin toxicity (serotonin syndrome) with 5–HT3 antagonist: a worldwide problem. https://psychotropical.com/serotonin-toxicity-and-5-ht3-antagonists. Published November 13, 2014. Updated March 23, 2019. Accessed August 17, 2020.

42. Gummin DD, Mowry JB, Spyker DA, Brooks DE, Osterthaler KM, Banner W. 2017 Annual Report of the American Association of Poison Control Centers’ National Poison Data System (NPDS): 35th Annual Report. Clin Toxicol (Phila). 2018;56(12):1213-1415. doi:10.1080/15563650.2018.1533727

43. Badawy MK, Maffei FA. Pediatric selective serotonin reuptake inhibitor toxicity. https://emedicine.medscape.com/article/1011436. Updated September 27, 2019. Accessed August 17, 2020.

44. Laliberte B, Kishk OA. Serotonin syndrome in a pediatric patient after vilazodone ingestion. Pediatr Emerg Care. 2018;34(12):e226-e228. doi:10.1097/PEC.0000000000001115

45. Direk MC, Yildirim V, Gϋnes S, Bozlu G, Okuyaz C. Serotonin syndrome after clomipramine overdose in a child. Clin Psychopharmacol Neurosci. 2016;14(4):388-390. doi:10.9758/cpn.2016.14.4.38846. ACOG Committee Opinion No. 757: Screening for perinatal depression. Obstet Gynecol. 2018;132(5):e208-e212. doi:10.1097/AOG.0000000000002927

47. Osborne LM, McEvoy K, Payne JL. Antidepressants in pregnancy: balancing needs and risks in clinical practice. Psychiatric Times. 2017;34(4).

48. Stewart D, Vigod S. Antenatal use of antidepressants and risk of teratogenicity and adverse pregnancy outcomes: selective serotonin reuptake inhibitors (SSRIs). https://www.uptodate.com/contents/antenatal-use-of-antidepressants-and-risk-of-teratogenicity-and-adverse-pregnancy-outcomes-selective-serotonin-reuptake-inhibitors-ssris. Accessed March 24, 2020.

49. Degiacomo J, Luedtke S. Neonatal toxicity from escitalopram use in utero: a case report. J Pediatr Pharmacol Ther. 2016;21(6):522-526. doi:10.5863/1551-6776-21.6.522

50. Eleftheriou G, Butera R, Cottini FC, Bonati M, Farina M. Neonatal toxicity following maternal citalopram treatment. Fetal Pediatr Pathol. 2013;32(5):362-356. doi:10.3109/15513815.2013.768743

References

1. Rapport MM, Green AA, Page IH. Serum vasoconstrictor, serotonin; isolation and characterization. J Biol Chem. 1948;176(3):1243-1251.

2. McCorvy JD, Roth BL. Structure and function of serotonin g protein coupled receptors. Pharmacol Ther. 2015;150:129-142. doi:10.1016/j.pharmthera. 2015.01.009 3. Insel TR, Roy BF, Cohen RM, Murphy DL. Possible development of serotonin syndrome in man. Am J Psychiatry. 1982;139(7):954-955. doi:10.1176/ajp.139.7.954

4. Scotton WJ, Hill LJ, Williams AC, Barnes NM. Serotonin syndrome: pathophysiology, clinical features, management, and potential future directions. Int J Tryptophan Res. 2019;12:1-14. doi:10.1177/1178646919873925

5. Buckley N, Dawson AH, Isbister GK. Serotonin syndrome. BMJ. 2014;348:g1626. doi:10.1136/bmj.g1626

6. Gillman KP. Serotonin toxicity: introduction. https://psychotropical.com/serotonin-toxicity-introduction. Published November 13, 2014. Updated July 13, 2019. Accessed August 17, 2020.

7. Foong A-L, Patel T, Kellar J, Grindrod KA. The scoop on serotonin syndrome. Can Pharm J (OTT). 2018;151(4):233-239. doi:10.1177/1715163518779096

8. Foong A-L, Grindrod KA, Patel T, Kellar J. Demystifying serotonin syndrome (or serotonin toxicity). Can Fam Physician. 2018;64(10):720-727.

9. Gillman KP. Serotonin toxicity: summary. https://psychotropical.com/serotonin-toxicity-summary. Published November 13, 2014. Updated January 25, 2018. Accessed August 17, 2020.

10. Boyer EW. Serotonin syndrome (serotonin toxicity). https://www.uptodate.com/contents/serotonin-syndrome-serotonin-toxicity. Updated March 12, 2018. Access December 12, 2019.

11. Wang RZ, Vashistha V, Kaur S, Houchens NW. Serotonin syndrome: preventing, recognizing, and treating it. Cleve Clin J Med. 2016;83(11):810-817. doi:10.3949/ccjm.83a.15129

12. Walker T. The economic burden of depression among veterans. https://www.managedhealthcareexecutive.com/article/economic-burden-depression-among-veterans. Published November 9, 2018. Accessed August 17, 2020.

13. Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics and Quality. Key substance use and mental health indicators in the United States: results from the 2018 National Survey on Drug Use and Health (HHS Publication No. PEP19-5068, NSDUH Series H-54). Rockville, MD: Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration; 2019.

14. Wong J, Motulsky A, Abrahamowicz M, et al. Off label indications for antidepressants in primary care; descriptive study of prescriptions from an indication based electronic prescribing system. BMJ. 2017;356:j603. doi:org/10.1136/bmj.j603

15. Vijay A, Becker JE, Ross JS. Patterns and predictors of off-label prescription of psychiatric drugs. PLOS One. 2018;13(7):e0198363. doi:10.1371/journal.pone.0198363

16. Medicating the military—use of psychiatric drugs has spiked; concerns surface about suicide, other dangers. https://www.militarytimes.com/2013/03/29/medicating-the-military-use-of-psychiatric-drugs-has-spiked-concerns-surface-about-suicide-other-dangers. Published March 29, 2013. Accessed August 17, 2020.

17. Hengartner MP, Plöderl M. Newer-generation antidepressants and suicide risk in randomized controlled trials; a re-analysis of the FDA database [letter]. Psychother Psychosom. 2019:88:247-248. doi:10.1159/000501215

18. Rosebush PI. Serotonin syndrome. https://www.mhaus.org/nmsis/medical-education-programs/serotonin-syndrome. Accessed March 24, 2020.

19. National Institute of Mental Health. Major depression. https://www.nimh.nih.gov/health/statistics/major-depression.shtml. Updated February 2019. Accessed March 24, 2020.

20. Meadows SO, Engel RL, Beckman RL, et al. 2015 health related behaviors survey: mental and emotional health among U.S. active-duty service members. https://www.rand.org/pubs/research_briefs/RB9955z3.html. Published 2018. Accessed August 17, 2020.

21. ClinCalc. The top 300 drugs of 2020. https://clincalc.com/DrugStats/Top300Drugs.aspx. Update February 11, 2017. Accessed March 24, 2020.

22. Corrigan C. Revealed: massive rise in antidepressant prescribing. https://www.rte.ie/news/investigations-unit/2019/0218/1031271-massive-rise-antidepressant-prescribing. Published June 14, 2019. Accessed August 17, 2020.

23. Skånland SS, Cieślar-Pobuda A. Off-label uses of drugs for depression. Eur J Pharmacol. 2019;865: 172732. doi:10.1016/j.ejphar.2019.172732

24. Bobo WV, Grossardt BR, Lapid MI, et al. Frequency and predictors of the potential overprescribing of antidepressants in elderly residents of a geographically defined U.S. population. Pharmacol Res Perspect. 2019;7(1):e00461. doi:10.1002/prp2.461

25. Patel N. Learning lessons. The Libby Zion case revisited. J Am Coll Cardiol. 2014;64(25):2802-2804. doi:10.1016/j.jacc.2014.11.007

26. Jenkins TA, Nguyen JCD, Polglase KE, Bertrand PP. Influence of tryptophan and serotonin on mood and cognition with a possible role of the gut-brain axis. Nutrients. 2016;8(1):56. doi:10.3390/nu8010056

27. Coleman JA, Green EM, Gouaux E. X-ray structures and mechanism of the human serotonin transporter. Nature Int J Sci. 2016;532(7599):334-339. doi:10.1038/nature17629

28. Garcia-Garcia AL, Newman-Tancredi A, Leonardo ED. 5-HT(1A) [corrected] receptors in mood and anxiety: recent insights into autoreceptor versus heteroreceptor function. Psychopharmacology (Berl). 2013;231(4):623-636. doi:10.1007/s00213-013-3389-x

29. Nautiyal KM, Hen R. Serotonin receptors in depression: from A to B. F1000Res. 2017;6:123. doi:10.12688/f1000research.9736.1

30. Francescangeli J, Karamchandani K, Powell M, Bonavia A. The serotonin syndrome: from molecular mechanisms to clinical practice. Int J Mol Sci. 2019;20(9):2288. doi:10.3390/ijms20092288

31. Little K, Lin CM, Reynolds PM. Delayed serotonin syndrome in the setting of a mixed fluoxetine and serotonin antagonist overdose. Am J Case Rep. 2018;19:604-607. doi:10.12659/AJCR.909063

32. Walter EJ, Carraretto M. The neurological and cognitive consequences of hyperthermia. Crit Care. 2016;20:199. doi:10.1186/s13054-016-1376-4

<--pagebreak-->

33. Platt M, Price T. Heat illness. In: Walls, ed. Rosen’s Emergency Medicine: Concepts and Clinical Practice. Philadelphia, PA: Elsevier; 2018:1755-1764.

34. Dunkley EJC, Isbister GK, Sibbritt D, Dawson AH, Whyte IM. The Hunter Serotonin Toxicity Criteria: simple and accurate diagnostic decision rules for serotonin toxicity. QJM. 2003;96(9):635-642. doi:10.1093/qjmed/hcg109

35. Gillman KP. Serotonin toxicity contrasted with neuroleptic malignant syndrome. https://psychotropical.com/serotonin-syndrome-and-neuroleptic-malignant-syndrome. Published January 1, 2005. Updated November 6, 2017. Accessed August 17, 2020.

36. Asusta HB, Keyser E, Dominguez P, Miller M, Odedokun T. Serotonin syndrome in obstetrics: a case report and review of management. Mil Med. 2018;184(1-2):e284-e286. doi:10.1093/milmed/usy135

37. English FA, Kenny LC, McCarthy FP. Risk factors and effective management of preeclampsia. Integr Blood Press Control 2015;8:7-12. doi:10.2147/IBPC.S50641

38. Bruggeman C, O’Day CS. Selective serotonin reuptake inhibitor (SSRI) toxicity. https://pubmed.ncbi.nlm.nih.gov/30521236. Published December 3, 2019. Accessed August 17, 2020.

39. US Food and Drug Administration. Selective serotonin reuptake inhibitors (SSRIs) Information. https://www.fda.gov/drugs/information-drug-class/selective-serotonin-reuptake-inhibitors-ssris-information. Updated December 23, 2014. Accessed March 24, 2020.

40. Orlova Y, Rizzoli P, Loder E. Association of coprescription of triptan antimigraine drugs and selective serotonin reuptake inhibitor or selective norepinephrine reuptake inhibitor antidepressants with serotonin syndrome. JAMA Neurol. 2018;75(5):566-572. doi:10.1001/jamaneurol.2017.5144

41. Gillman KP. Regulatory agencies (WH0, FDA) offer ill-conceived advice about serotonin toxicity (serotonin syndrome) with 5–HT3 antagonist: a worldwide problem. https://psychotropical.com/serotonin-toxicity-and-5-ht3-antagonists. Published November 13, 2014. Updated March 23, 2019. Accessed August 17, 2020.

42. Gummin DD, Mowry JB, Spyker DA, Brooks DE, Osterthaler KM, Banner W. 2017 Annual Report of the American Association of Poison Control Centers’ National Poison Data System (NPDS): 35th Annual Report. Clin Toxicol (Phila). 2018;56(12):1213-1415. doi:10.1080/15563650.2018.1533727

43. Badawy MK, Maffei FA. Pediatric selective serotonin reuptake inhibitor toxicity. https://emedicine.medscape.com/article/1011436. Updated September 27, 2019. Accessed August 17, 2020.

44. Laliberte B, Kishk OA. Serotonin syndrome in a pediatric patient after vilazodone ingestion. Pediatr Emerg Care. 2018;34(12):e226-e228. doi:10.1097/PEC.0000000000001115

45. Direk MC, Yildirim V, Gϋnes S, Bozlu G, Okuyaz C. Serotonin syndrome after clomipramine overdose in a child. Clin Psychopharmacol Neurosci. 2016;14(4):388-390. doi:10.9758/cpn.2016.14.4.38846. ACOG Committee Opinion No. 757: Screening for perinatal depression. Obstet Gynecol. 2018;132(5):e208-e212. doi:10.1097/AOG.0000000000002927

47. Osborne LM, McEvoy K, Payne JL. Antidepressants in pregnancy: balancing needs and risks in clinical practice. Psychiatric Times. 2017;34(4).

48. Stewart D, Vigod S. Antenatal use of antidepressants and risk of teratogenicity and adverse pregnancy outcomes: selective serotonin reuptake inhibitors (SSRIs). https://www.uptodate.com/contents/antenatal-use-of-antidepressants-and-risk-of-teratogenicity-and-adverse-pregnancy-outcomes-selective-serotonin-reuptake-inhibitors-ssris. Accessed March 24, 2020.

49. Degiacomo J, Luedtke S. Neonatal toxicity from escitalopram use in utero: a case report. J Pediatr Pharmacol Ther. 2016;21(6):522-526. doi:10.5863/1551-6776-21.6.522

50. Eleftheriou G, Butera R, Cottini FC, Bonati M, Farina M. Neonatal toxicity following maternal citalopram treatment. Fetal Pediatr Pathol. 2013;32(5):362-356. doi:10.3109/15513815.2013.768743

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Evaluation of Glycemic Control and Cost Savings Associated With Liraglutide Dose Reduction at a Veterans Affairs Hospital

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Glucagon-like peptide 1 receptor agonists (GLP-1 RAs) are injectable incretin hormones approved for the treatment of type 2 diabetes mellitus (T2DM). They are highly efficacious agents with hemoglobin A1c (HbA1c) reduction potential of approximately 0.8 to 1.6% and mechanisms of action that result in an average weight loss of 1 to 3 kg.1,2 Published in 2016, The LEADER (Liraglutide Effect and Action in Diabetes: Evaluation of Cardiovascular Outcome Results) trial established cardiovascular benefits associated with liraglutide, making it a preferred GLP-1 RA.3

In addition to HbA1c reduction, weight loss, and cardiovascular benefits, liraglutide also has shown insulin-sparing effects when used in combination with insulin. A trial by Lane and colleagues revealed a 34% decrease in total daily insulin dose 6 months after the addition of liraglutide to insulin in patients with T2DM receiving > 100 units of insulin daily.4 When used in combination with basal insulin analogues (glargine or detemir) similar findings also were shown.5

The Michael E. DeBakey Veterans Affairs Medical Center (MEDVAMC) in Houston, Texas, selected liraglutide as its preferred GLP-1 RA because of its favorable glycemic and cardiovascular outcomes. In addition, as part of a cost-savings initiative for fiscal year 2018, liraglutide 6 mg/mL injection 2-count pen packs was selected as the preferred liraglutide product. Before the availability of the 2-count pen packs, veterans previously received 3-count pen packs, which allowed for up to a 30-day supply of liraglutide 1.8 mg daily dosing. However, the cost-efficient 2-count pen packs allow for up to 1.2 mg daily dose of liraglutide for a 30-day supply. Due to these changes, veterans at MEDVAMC were converted from liraglutide 1.8 mg daily to 1.2 mg daily between May 2018 and August 2018.

The primary objective of this study was to assess sustained glycemic control and cost savings that resulted from this change. The secondary objectives were to assess sustained weight loss and adverse effects (AEs).

Methods

This study was approved by the MEDVAMC Quality Assurance and Regulatory Affairs committee. In this single-center study, a retrospective chart review was conducted on veterans with T2DM who underwent a liraglutide dose reduction from 1.8 mg daily to 1.2 mg daily between May 2018 and August 2018. Patients were included if they were aged ≥ 18 years with an active prescription for liraglutide 1.8 mg daily and insulin (with or without other antihyperglycemic agents) at the time of conversion. In addition, patients must have had ≥ 1 HbA1c reading within 3 months of the dose conversion and a follow-up HbA1c within 6 months after the dose conversion. To assess the primary objective of glycemic control that resulted from the liraglutide dose reduction, mean change of HbA1c at time of dose conversion was compared with mean HbA1c 6 months postconversion. To assess savings, cost information was obtained from the US Department of Veterans Affairs (VA) Drug Price Database and monthly and annual costs of liraglutide 6 mg/mL injection 2-count pen pack were compared with that of the 3-count pen pack. A chart review of patients’ electronic health records assessed secondary outcomes. The VA Computerized Patient Record System (CPRS) was used to collect patient data.

Patients and Characteristics

The following patient information was obtained from patients’ records: age, sex, race/ethnicity, diabetic medications (at time of conversion and 6 months after conversion), cardiovascular history and risk factors (hypertension, coronary artery disease, heart failure, arrhythmias, peripheral artery disease, obesity, etc), prescriber type (physician, nurse practitioner/physician assistant, pharmacist, etc), weight (at baseline, at time of conversion, and 6 months after conversion), HbA1c (at baseline, at time of conversion, and 6 months after conversion), average blood glucose (at baseline, at time of conversion, and 6 months after conversion), insulin dose (at time of conversion and 6 months after conversion), and reported AEs.

Statistical Analysis

The 2-tailed, paired t test was used to assess changes in HbA1c, average blood glucose, and body weight. Demographic data and other outcomes were assessed using descriptive statistics.

Results

Prior to the dose reduction, 312 veterans had active prescriptions for liraglutide 1.8 mg daily. Due to lack of glycemic control benefit (failing to achieve a HbA1c reduction of at least 0.5% after at least 3 to 6 months following initiation of therapy) or nonadherence (assessed by medication refill history), 126 veterans did not meet the criteria for the dose conversion. As a result, liraglutide was discontinued, and veterans were sent patient letter notifications and health care providers were notified via medication review notes in the patient electronic health record “to make medication adjustments if warranted. A total of 186 veterans underwent a liraglutide dose reduction between May and August 2018. Thirty-two veterans were without active insulin prescriptions, 53 were without HbA1c results, and 4 veterans died; resulting in 97 veterans who were included in the study (Figure 1).

Most of the patients included in the study were male (90.7%) and White (63.9%) with an average (SD) age of 65.9 years (7.9) and a mean (SD) HbA1c at baseline of 8.4% (1.2). About 56.7% received concurrent T2DM treatment with metformin, and 8.3% received concurrent treatment with empagliflozin. The most common cardiovascular disease/risk factors included hypertension (93.8%), hyperlipidemia (85.6%), and obesity (85.6%) (Table 1).

Glycemic Control and Weight Loss

At the time of conversion, the average (SD) HbA1c was 8.2% (1.4) and increased to an average (SD) of 8.7% (1.8) (P =.0005) 6 months after the dose reduction (Table 2). The average (SD) body weight was 116.2 kg (23.2) at time of conversion and increased to 116.5 (24.6) 6 months following the dose reduction; however, the difference was not statistically significant (P = .8).

As a result of the HbA1c change, 41.2% of veterans underwent an insulin dose increase with dose increase of 5 to 200 units of total daily insulin during the 6-month period. Antihyperglycemic regimen remained unchanged for 40.2% of veterans, while additional glucose lowering agents were initiated in 6 veterans. Medications initiated included empagliflozin in 4 veterans and saxagliptin in 2 veterans.

HbA1c reduction was noted in 33% of veterans (Figure 2) mostly due to improved diet and exercise habits. A majority of veterans, 62%, experienced an increase in HbA1c, whereas 5.2% of veterans maintained the same HbA1c. Of 60 veterans with HbA1c increases, 15 had an increase between 0.1% and 0.5%, another 15 with an increase between 0.5 to 0.9%, and half had HbA1c increases of at least 1% with a maximum increase of 5.1% (Figure 3).

Cost Savings

Cost information was obtained from the VA Drug Price Database. The estimated monthly cost savings per patient associated with the conversion from 3-count to 2-count injection pen packs of liraglutide 6 mg/mL was $103.46. With 186 veterans converted to the 2-count pen packs, MEDVAMC saved $115,461.36 in a 6-month period. The estimated annualized cost savings was estimated to be about $231,000 (Figure 4).

Adverse Effects During the 6-month period following the dose conversion, no major AEs associated with liraglutide were documented. Documented AEs included 3 cases of diarrhea, resulting in the discontinuation of metformin. Metformin also was discontinued in a veteran with worsened renal function and eGFR < 30 mL/min/1.73 m2.

Discussion

According to previous clinical trials, when used in combination with insulin, 1.2 mg and 1.8 mg daily liraglutide showed significant improvement in glycemic control and body weight and was associated with decreased insulin requirements.4-6 However, subgroup analyses were not performed to show differences in benefit between the liraglutide 1.8 mg and 1.2 mg groups.4-6 Similarly, cardiovascular benefit was observed in patients receiving liraglutide 1.2 mg daily and liraglutide 1.8 mg daily in the LEADER trial with no subgroup analysis or distinction between treatment doses.3 With this information and approval by the Veterans Integrated Services Network, the pharmacoeconomics team at MEDVAMC made the decision to select a more cost-efficient preparation and, hence, lower dose of liraglutide.

To ensure that patients only taking liraglutide for glycemic control were captured, patients without insulin therapies at baseline were excluded. Due to concerns of potential off-label use of liraglutide for weight loss, patients without active prescriptions for insulin at baseline were excluded.

A mean HbA1c increase of 0.5% was observed over the 6-month period, supporting findings of a dose-dependent HbA1c decrease observed in clinical trials. In the LEAD-3 MONO trial when used as monotherapy, liraglutide 1.8 mg was associated with significantly greater HbA1c reduction than liraglutide 1.2 mg (–0·29%; –0·50 to –0.09, P = .005) after 52 weeks of treatment.7 Liraglutide 1.8 mg was also associated with higher rates of AEs; particularly gastrointestinal. 7 To minimize these AEs, it is recommended to initiate liraglutide at 0.6 mg daily for a week then increase to 1.2 mg daily. If tolerated, liraglutide can be further titrated to 1.8 mg daily to optimize glycemic control.8 Unsurprisingly, no major AEs were noted in this study, as AEs are typically noted with increased doses.

Despite the observed trend of increased HbA1c, no changes were made to glucoselowering agents in 39 veterans. This group of veterans consisted primarily of those whose HbA1c remained unchanged during the 6-month period, those whose HbA1c improved (with no documented hypoglycemia), and older veterans with less stringent HbA1c goals. As a result, doses of glucose lowering agents were maintained as appropriate.

No significant difference was noted in body weight during the 6-month period. The slight weight gain observed may have been due to several factors. Lack of exercise and dietary changes may have contributed to weight gain. In addition, insulin doses were increased in 40 veterans, which may have contributed to the observed weight gain.

As expected, significant cost savings were achieved as a result of the liraglutide dose reduction. Of note, liraglutide was discontinued in 126 veterans (prior to the dose reduction) due to nonadherence or inadequate response to therapy, which also resulted in additional savings. Although cost savings was achieved, the long-term benefit of this initiative still remains unknown. The worsened glycemic control that was detected may increase the risk of microvascular and macrovascular complications, thereby negating cost savings achieved. To assess this effect, longterm prospective studies are warranted.

Limitations

A number of issues limit these finding, including its retrospective data review, small sample size, additional factors contributing to HbA1c increase, and missing documentation in some patient records. Only 97 patients were included in the study, reflecting less than half of the charts reviewed (52% exclusion rate). In addition, several confounding factors may have contributed to the increased HbA1c observed. Medication changes and lifestyle factors may have contributed to the observed change in HbA1c levels. Exclusion of patients without active prescriptions for insulin may have contributed to a selection bias, as most patients included in the study were veterans with uncontrolled T2DM requiring insulin. Finally, as a retrospective study involving patient records, investigators relied heavily on information provided in patients’ charts (HbA1c, body weight, insulin doses, adverse effects, etc), which may not entirely be accurate and may have been missing other pertinent information.

Conclusions

The daily dose reduction of liraglutide from 1.8 mg to 1.2 mg due to a cost-savings initiative resulted in a HbA1c increase of 0.5% in a 6-month period. Due to HbA1c increases, 41.2% of veterans underwent an insulin dose increase, negating the insulin-sparing role of liraglutide. Although this study further confirms the dose-dependent HbA1c reduction with liraglutide that has been noted in previous trials, long-term prospective studies and cost-effectiveness analyses are warranted to assess the overall clinical significance and other benefits of the change, including its effects on cardiovascular outcomes.

References

1. American Diabetes Association. Pharmacologic approaches to glycemic treatment. Diabetes Care. 2019;42(suppl 1):S90-S102. doi:10.2337/dc19-S009

2. Hinnen D. Glucagon-like peptide 1 receptor agonists for type 2 diabetes. Diabetes Spectr. 2017;30(3):202-210. doi:10.2337/ds16-0026

3. Marso SP, Daniels GH, Brown-Frandsen K, et al. Liraglutide and cardiovascular outcomes in type 2 diabetes. N Engl J Med. 2016;375(4):311-322. doi:10.1056/NEJMoa1603827

4. Lane W, Weinrib S, Rappaport J, Hale C. The effect of addition of liraglutide to high-dose intensive insulin therapy: a randomized prospective trial. Diabetes Obes Metab. 2014;16(9):827-832. doi:10.1111/dom.12286

5. Ahmann A, Rodbard HW, Rosenstock J, et al. Efficacy and safety of liraglutide versus placebo added to basal insulin analogues (with or without metformin) in patients with type 2 diabetes: a randomized, placebo-controlled trial. Diabetes Obes Metab. 2015;17(11):1056-1064. doi:10.1111/dom.12539

6. Lane W, Weinrib S, Rappaport J. The effect of liraglutide added to U-500 insulin in patients with type 2 diabetes and high insulin requirements. Diabetes Technol Ther. 2011;13(5):592-595. doi:10.1089/dia.2010.0221

7. Garber A, Henry R, Ratner R, et al. Liraglutide versus glimepiride monotherapy for type 2 diabetes (LEAD-3 Mono): a randomised, 52-week, phase III, double-blind, parallel-treatment trial. Lancet. 2009;373(9662):473-481. doi:10.1016/S0140-6736(08)61246-5.

8. Victoza [package insert]. Princeton: Novo Nordisk Inc; 2020.

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Correspondence: Fiona Imarhia ([email protected])

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The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations— including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Fiona Imarhia is a Clinical Pharmacy Specialist in Home Based Primary Care and Janeca Malveaux is a Clinical Pharmacy Specialist in Primary Care, both at the Michael E. DeBakey Veterans Affairs Medical Center in Houston, Texas.
Correspondence: Fiona Imarhia ([email protected])

Author disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations— including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Author and Disclosure Information

Fiona Imarhia is a Clinical Pharmacy Specialist in Home Based Primary Care and Janeca Malveaux is a Clinical Pharmacy Specialist in Primary Care, both at the Michael E. DeBakey Veterans Affairs Medical Center in Houston, Texas.
Correspondence: Fiona Imarhia ([email protected])

Author disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations— including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Related Articles

Glucagon-like peptide 1 receptor agonists (GLP-1 RAs) are injectable incretin hormones approved for the treatment of type 2 diabetes mellitus (T2DM). They are highly efficacious agents with hemoglobin A1c (HbA1c) reduction potential of approximately 0.8 to 1.6% and mechanisms of action that result in an average weight loss of 1 to 3 kg.1,2 Published in 2016, The LEADER (Liraglutide Effect and Action in Diabetes: Evaluation of Cardiovascular Outcome Results) trial established cardiovascular benefits associated with liraglutide, making it a preferred GLP-1 RA.3

In addition to HbA1c reduction, weight loss, and cardiovascular benefits, liraglutide also has shown insulin-sparing effects when used in combination with insulin. A trial by Lane and colleagues revealed a 34% decrease in total daily insulin dose 6 months after the addition of liraglutide to insulin in patients with T2DM receiving > 100 units of insulin daily.4 When used in combination with basal insulin analogues (glargine or detemir) similar findings also were shown.5

The Michael E. DeBakey Veterans Affairs Medical Center (MEDVAMC) in Houston, Texas, selected liraglutide as its preferred GLP-1 RA because of its favorable glycemic and cardiovascular outcomes. In addition, as part of a cost-savings initiative for fiscal year 2018, liraglutide 6 mg/mL injection 2-count pen packs was selected as the preferred liraglutide product. Before the availability of the 2-count pen packs, veterans previously received 3-count pen packs, which allowed for up to a 30-day supply of liraglutide 1.8 mg daily dosing. However, the cost-efficient 2-count pen packs allow for up to 1.2 mg daily dose of liraglutide for a 30-day supply. Due to these changes, veterans at MEDVAMC were converted from liraglutide 1.8 mg daily to 1.2 mg daily between May 2018 and August 2018.

The primary objective of this study was to assess sustained glycemic control and cost savings that resulted from this change. The secondary objectives were to assess sustained weight loss and adverse effects (AEs).

Methods

This study was approved by the MEDVAMC Quality Assurance and Regulatory Affairs committee. In this single-center study, a retrospective chart review was conducted on veterans with T2DM who underwent a liraglutide dose reduction from 1.8 mg daily to 1.2 mg daily between May 2018 and August 2018. Patients were included if they were aged ≥ 18 years with an active prescription for liraglutide 1.8 mg daily and insulin (with or without other antihyperglycemic agents) at the time of conversion. In addition, patients must have had ≥ 1 HbA1c reading within 3 months of the dose conversion and a follow-up HbA1c within 6 months after the dose conversion. To assess the primary objective of glycemic control that resulted from the liraglutide dose reduction, mean change of HbA1c at time of dose conversion was compared with mean HbA1c 6 months postconversion. To assess savings, cost information was obtained from the US Department of Veterans Affairs (VA) Drug Price Database and monthly and annual costs of liraglutide 6 mg/mL injection 2-count pen pack were compared with that of the 3-count pen pack. A chart review of patients’ electronic health records assessed secondary outcomes. The VA Computerized Patient Record System (CPRS) was used to collect patient data.

Patients and Characteristics

The following patient information was obtained from patients’ records: age, sex, race/ethnicity, diabetic medications (at time of conversion and 6 months after conversion), cardiovascular history and risk factors (hypertension, coronary artery disease, heart failure, arrhythmias, peripheral artery disease, obesity, etc), prescriber type (physician, nurse practitioner/physician assistant, pharmacist, etc), weight (at baseline, at time of conversion, and 6 months after conversion), HbA1c (at baseline, at time of conversion, and 6 months after conversion), average blood glucose (at baseline, at time of conversion, and 6 months after conversion), insulin dose (at time of conversion and 6 months after conversion), and reported AEs.

Statistical Analysis

The 2-tailed, paired t test was used to assess changes in HbA1c, average blood glucose, and body weight. Demographic data and other outcomes were assessed using descriptive statistics.

Results

Prior to the dose reduction, 312 veterans had active prescriptions for liraglutide 1.8 mg daily. Due to lack of glycemic control benefit (failing to achieve a HbA1c reduction of at least 0.5% after at least 3 to 6 months following initiation of therapy) or nonadherence (assessed by medication refill history), 126 veterans did not meet the criteria for the dose conversion. As a result, liraglutide was discontinued, and veterans were sent patient letter notifications and health care providers were notified via medication review notes in the patient electronic health record “to make medication adjustments if warranted. A total of 186 veterans underwent a liraglutide dose reduction between May and August 2018. Thirty-two veterans were without active insulin prescriptions, 53 were without HbA1c results, and 4 veterans died; resulting in 97 veterans who were included in the study (Figure 1).

Most of the patients included in the study were male (90.7%) and White (63.9%) with an average (SD) age of 65.9 years (7.9) and a mean (SD) HbA1c at baseline of 8.4% (1.2). About 56.7% received concurrent T2DM treatment with metformin, and 8.3% received concurrent treatment with empagliflozin. The most common cardiovascular disease/risk factors included hypertension (93.8%), hyperlipidemia (85.6%), and obesity (85.6%) (Table 1).

Glycemic Control and Weight Loss

At the time of conversion, the average (SD) HbA1c was 8.2% (1.4) and increased to an average (SD) of 8.7% (1.8) (P =.0005) 6 months after the dose reduction (Table 2). The average (SD) body weight was 116.2 kg (23.2) at time of conversion and increased to 116.5 (24.6) 6 months following the dose reduction; however, the difference was not statistically significant (P = .8).

As a result of the HbA1c change, 41.2% of veterans underwent an insulin dose increase with dose increase of 5 to 200 units of total daily insulin during the 6-month period. Antihyperglycemic regimen remained unchanged for 40.2% of veterans, while additional glucose lowering agents were initiated in 6 veterans. Medications initiated included empagliflozin in 4 veterans and saxagliptin in 2 veterans.

HbA1c reduction was noted in 33% of veterans (Figure 2) mostly due to improved diet and exercise habits. A majority of veterans, 62%, experienced an increase in HbA1c, whereas 5.2% of veterans maintained the same HbA1c. Of 60 veterans with HbA1c increases, 15 had an increase between 0.1% and 0.5%, another 15 with an increase between 0.5 to 0.9%, and half had HbA1c increases of at least 1% with a maximum increase of 5.1% (Figure 3).

Cost Savings

Cost information was obtained from the VA Drug Price Database. The estimated monthly cost savings per patient associated with the conversion from 3-count to 2-count injection pen packs of liraglutide 6 mg/mL was $103.46. With 186 veterans converted to the 2-count pen packs, MEDVAMC saved $115,461.36 in a 6-month period. The estimated annualized cost savings was estimated to be about $231,000 (Figure 4).

Adverse Effects During the 6-month period following the dose conversion, no major AEs associated with liraglutide were documented. Documented AEs included 3 cases of diarrhea, resulting in the discontinuation of metformin. Metformin also was discontinued in a veteran with worsened renal function and eGFR < 30 mL/min/1.73 m2.

Discussion

According to previous clinical trials, when used in combination with insulin, 1.2 mg and 1.8 mg daily liraglutide showed significant improvement in glycemic control and body weight and was associated with decreased insulin requirements.4-6 However, subgroup analyses were not performed to show differences in benefit between the liraglutide 1.8 mg and 1.2 mg groups.4-6 Similarly, cardiovascular benefit was observed in patients receiving liraglutide 1.2 mg daily and liraglutide 1.8 mg daily in the LEADER trial with no subgroup analysis or distinction between treatment doses.3 With this information and approval by the Veterans Integrated Services Network, the pharmacoeconomics team at MEDVAMC made the decision to select a more cost-efficient preparation and, hence, lower dose of liraglutide.

To ensure that patients only taking liraglutide for glycemic control were captured, patients without insulin therapies at baseline were excluded. Due to concerns of potential off-label use of liraglutide for weight loss, patients without active prescriptions for insulin at baseline were excluded.

A mean HbA1c increase of 0.5% was observed over the 6-month period, supporting findings of a dose-dependent HbA1c decrease observed in clinical trials. In the LEAD-3 MONO trial when used as monotherapy, liraglutide 1.8 mg was associated with significantly greater HbA1c reduction than liraglutide 1.2 mg (–0·29%; –0·50 to –0.09, P = .005) after 52 weeks of treatment.7 Liraglutide 1.8 mg was also associated with higher rates of AEs; particularly gastrointestinal. 7 To minimize these AEs, it is recommended to initiate liraglutide at 0.6 mg daily for a week then increase to 1.2 mg daily. If tolerated, liraglutide can be further titrated to 1.8 mg daily to optimize glycemic control.8 Unsurprisingly, no major AEs were noted in this study, as AEs are typically noted with increased doses.

Despite the observed trend of increased HbA1c, no changes were made to glucoselowering agents in 39 veterans. This group of veterans consisted primarily of those whose HbA1c remained unchanged during the 6-month period, those whose HbA1c improved (with no documented hypoglycemia), and older veterans with less stringent HbA1c goals. As a result, doses of glucose lowering agents were maintained as appropriate.

No significant difference was noted in body weight during the 6-month period. The slight weight gain observed may have been due to several factors. Lack of exercise and dietary changes may have contributed to weight gain. In addition, insulin doses were increased in 40 veterans, which may have contributed to the observed weight gain.

As expected, significant cost savings were achieved as a result of the liraglutide dose reduction. Of note, liraglutide was discontinued in 126 veterans (prior to the dose reduction) due to nonadherence or inadequate response to therapy, which also resulted in additional savings. Although cost savings was achieved, the long-term benefit of this initiative still remains unknown. The worsened glycemic control that was detected may increase the risk of microvascular and macrovascular complications, thereby negating cost savings achieved. To assess this effect, longterm prospective studies are warranted.

Limitations

A number of issues limit these finding, including its retrospective data review, small sample size, additional factors contributing to HbA1c increase, and missing documentation in some patient records. Only 97 patients were included in the study, reflecting less than half of the charts reviewed (52% exclusion rate). In addition, several confounding factors may have contributed to the increased HbA1c observed. Medication changes and lifestyle factors may have contributed to the observed change in HbA1c levels. Exclusion of patients without active prescriptions for insulin may have contributed to a selection bias, as most patients included in the study were veterans with uncontrolled T2DM requiring insulin. Finally, as a retrospective study involving patient records, investigators relied heavily on information provided in patients’ charts (HbA1c, body weight, insulin doses, adverse effects, etc), which may not entirely be accurate and may have been missing other pertinent information.

Conclusions

The daily dose reduction of liraglutide from 1.8 mg to 1.2 mg due to a cost-savings initiative resulted in a HbA1c increase of 0.5% in a 6-month period. Due to HbA1c increases, 41.2% of veterans underwent an insulin dose increase, negating the insulin-sparing role of liraglutide. Although this study further confirms the dose-dependent HbA1c reduction with liraglutide that has been noted in previous trials, long-term prospective studies and cost-effectiveness analyses are warranted to assess the overall clinical significance and other benefits of the change, including its effects on cardiovascular outcomes.

Glucagon-like peptide 1 receptor agonists (GLP-1 RAs) are injectable incretin hormones approved for the treatment of type 2 diabetes mellitus (T2DM). They are highly efficacious agents with hemoglobin A1c (HbA1c) reduction potential of approximately 0.8 to 1.6% and mechanisms of action that result in an average weight loss of 1 to 3 kg.1,2 Published in 2016, The LEADER (Liraglutide Effect and Action in Diabetes: Evaluation of Cardiovascular Outcome Results) trial established cardiovascular benefits associated with liraglutide, making it a preferred GLP-1 RA.3

In addition to HbA1c reduction, weight loss, and cardiovascular benefits, liraglutide also has shown insulin-sparing effects when used in combination with insulin. A trial by Lane and colleagues revealed a 34% decrease in total daily insulin dose 6 months after the addition of liraglutide to insulin in patients with T2DM receiving > 100 units of insulin daily.4 When used in combination with basal insulin analogues (glargine or detemir) similar findings also were shown.5

The Michael E. DeBakey Veterans Affairs Medical Center (MEDVAMC) in Houston, Texas, selected liraglutide as its preferred GLP-1 RA because of its favorable glycemic and cardiovascular outcomes. In addition, as part of a cost-savings initiative for fiscal year 2018, liraglutide 6 mg/mL injection 2-count pen packs was selected as the preferred liraglutide product. Before the availability of the 2-count pen packs, veterans previously received 3-count pen packs, which allowed for up to a 30-day supply of liraglutide 1.8 mg daily dosing. However, the cost-efficient 2-count pen packs allow for up to 1.2 mg daily dose of liraglutide for a 30-day supply. Due to these changes, veterans at MEDVAMC were converted from liraglutide 1.8 mg daily to 1.2 mg daily between May 2018 and August 2018.

The primary objective of this study was to assess sustained glycemic control and cost savings that resulted from this change. The secondary objectives were to assess sustained weight loss and adverse effects (AEs).

Methods

This study was approved by the MEDVAMC Quality Assurance and Regulatory Affairs committee. In this single-center study, a retrospective chart review was conducted on veterans with T2DM who underwent a liraglutide dose reduction from 1.8 mg daily to 1.2 mg daily between May 2018 and August 2018. Patients were included if they were aged ≥ 18 years with an active prescription for liraglutide 1.8 mg daily and insulin (with or without other antihyperglycemic agents) at the time of conversion. In addition, patients must have had ≥ 1 HbA1c reading within 3 months of the dose conversion and a follow-up HbA1c within 6 months after the dose conversion. To assess the primary objective of glycemic control that resulted from the liraglutide dose reduction, mean change of HbA1c at time of dose conversion was compared with mean HbA1c 6 months postconversion. To assess savings, cost information was obtained from the US Department of Veterans Affairs (VA) Drug Price Database and monthly and annual costs of liraglutide 6 mg/mL injection 2-count pen pack were compared with that of the 3-count pen pack. A chart review of patients’ electronic health records assessed secondary outcomes. The VA Computerized Patient Record System (CPRS) was used to collect patient data.

Patients and Characteristics

The following patient information was obtained from patients’ records: age, sex, race/ethnicity, diabetic medications (at time of conversion and 6 months after conversion), cardiovascular history and risk factors (hypertension, coronary artery disease, heart failure, arrhythmias, peripheral artery disease, obesity, etc), prescriber type (physician, nurse practitioner/physician assistant, pharmacist, etc), weight (at baseline, at time of conversion, and 6 months after conversion), HbA1c (at baseline, at time of conversion, and 6 months after conversion), average blood glucose (at baseline, at time of conversion, and 6 months after conversion), insulin dose (at time of conversion and 6 months after conversion), and reported AEs.

Statistical Analysis

The 2-tailed, paired t test was used to assess changes in HbA1c, average blood glucose, and body weight. Demographic data and other outcomes were assessed using descriptive statistics.

Results

Prior to the dose reduction, 312 veterans had active prescriptions for liraglutide 1.8 mg daily. Due to lack of glycemic control benefit (failing to achieve a HbA1c reduction of at least 0.5% after at least 3 to 6 months following initiation of therapy) or nonadherence (assessed by medication refill history), 126 veterans did not meet the criteria for the dose conversion. As a result, liraglutide was discontinued, and veterans were sent patient letter notifications and health care providers were notified via medication review notes in the patient electronic health record “to make medication adjustments if warranted. A total of 186 veterans underwent a liraglutide dose reduction between May and August 2018. Thirty-two veterans were without active insulin prescriptions, 53 were without HbA1c results, and 4 veterans died; resulting in 97 veterans who were included in the study (Figure 1).

Most of the patients included in the study were male (90.7%) and White (63.9%) with an average (SD) age of 65.9 years (7.9) and a mean (SD) HbA1c at baseline of 8.4% (1.2). About 56.7% received concurrent T2DM treatment with metformin, and 8.3% received concurrent treatment with empagliflozin. The most common cardiovascular disease/risk factors included hypertension (93.8%), hyperlipidemia (85.6%), and obesity (85.6%) (Table 1).

Glycemic Control and Weight Loss

At the time of conversion, the average (SD) HbA1c was 8.2% (1.4) and increased to an average (SD) of 8.7% (1.8) (P =.0005) 6 months after the dose reduction (Table 2). The average (SD) body weight was 116.2 kg (23.2) at time of conversion and increased to 116.5 (24.6) 6 months following the dose reduction; however, the difference was not statistically significant (P = .8).

As a result of the HbA1c change, 41.2% of veterans underwent an insulin dose increase with dose increase of 5 to 200 units of total daily insulin during the 6-month period. Antihyperglycemic regimen remained unchanged for 40.2% of veterans, while additional glucose lowering agents were initiated in 6 veterans. Medications initiated included empagliflozin in 4 veterans and saxagliptin in 2 veterans.

HbA1c reduction was noted in 33% of veterans (Figure 2) mostly due to improved diet and exercise habits. A majority of veterans, 62%, experienced an increase in HbA1c, whereas 5.2% of veterans maintained the same HbA1c. Of 60 veterans with HbA1c increases, 15 had an increase between 0.1% and 0.5%, another 15 with an increase between 0.5 to 0.9%, and half had HbA1c increases of at least 1% with a maximum increase of 5.1% (Figure 3).

Cost Savings

Cost information was obtained from the VA Drug Price Database. The estimated monthly cost savings per patient associated with the conversion from 3-count to 2-count injection pen packs of liraglutide 6 mg/mL was $103.46. With 186 veterans converted to the 2-count pen packs, MEDVAMC saved $115,461.36 in a 6-month period. The estimated annualized cost savings was estimated to be about $231,000 (Figure 4).

Adverse Effects During the 6-month period following the dose conversion, no major AEs associated with liraglutide were documented. Documented AEs included 3 cases of diarrhea, resulting in the discontinuation of metformin. Metformin also was discontinued in a veteran with worsened renal function and eGFR < 30 mL/min/1.73 m2.

Discussion

According to previous clinical trials, when used in combination with insulin, 1.2 mg and 1.8 mg daily liraglutide showed significant improvement in glycemic control and body weight and was associated with decreased insulin requirements.4-6 However, subgroup analyses were not performed to show differences in benefit between the liraglutide 1.8 mg and 1.2 mg groups.4-6 Similarly, cardiovascular benefit was observed in patients receiving liraglutide 1.2 mg daily and liraglutide 1.8 mg daily in the LEADER trial with no subgroup analysis or distinction between treatment doses.3 With this information and approval by the Veterans Integrated Services Network, the pharmacoeconomics team at MEDVAMC made the decision to select a more cost-efficient preparation and, hence, lower dose of liraglutide.

To ensure that patients only taking liraglutide for glycemic control were captured, patients without insulin therapies at baseline were excluded. Due to concerns of potential off-label use of liraglutide for weight loss, patients without active prescriptions for insulin at baseline were excluded.

A mean HbA1c increase of 0.5% was observed over the 6-month period, supporting findings of a dose-dependent HbA1c decrease observed in clinical trials. In the LEAD-3 MONO trial when used as monotherapy, liraglutide 1.8 mg was associated with significantly greater HbA1c reduction than liraglutide 1.2 mg (–0·29%; –0·50 to –0.09, P = .005) after 52 weeks of treatment.7 Liraglutide 1.8 mg was also associated with higher rates of AEs; particularly gastrointestinal. 7 To minimize these AEs, it is recommended to initiate liraglutide at 0.6 mg daily for a week then increase to 1.2 mg daily. If tolerated, liraglutide can be further titrated to 1.8 mg daily to optimize glycemic control.8 Unsurprisingly, no major AEs were noted in this study, as AEs are typically noted with increased doses.

Despite the observed trend of increased HbA1c, no changes were made to glucoselowering agents in 39 veterans. This group of veterans consisted primarily of those whose HbA1c remained unchanged during the 6-month period, those whose HbA1c improved (with no documented hypoglycemia), and older veterans with less stringent HbA1c goals. As a result, doses of glucose lowering agents were maintained as appropriate.

No significant difference was noted in body weight during the 6-month period. The slight weight gain observed may have been due to several factors. Lack of exercise and dietary changes may have contributed to weight gain. In addition, insulin doses were increased in 40 veterans, which may have contributed to the observed weight gain.

As expected, significant cost savings were achieved as a result of the liraglutide dose reduction. Of note, liraglutide was discontinued in 126 veterans (prior to the dose reduction) due to nonadherence or inadequate response to therapy, which also resulted in additional savings. Although cost savings was achieved, the long-term benefit of this initiative still remains unknown. The worsened glycemic control that was detected may increase the risk of microvascular and macrovascular complications, thereby negating cost savings achieved. To assess this effect, longterm prospective studies are warranted.

Limitations

A number of issues limit these finding, including its retrospective data review, small sample size, additional factors contributing to HbA1c increase, and missing documentation in some patient records. Only 97 patients were included in the study, reflecting less than half of the charts reviewed (52% exclusion rate). In addition, several confounding factors may have contributed to the increased HbA1c observed. Medication changes and lifestyle factors may have contributed to the observed change in HbA1c levels. Exclusion of patients without active prescriptions for insulin may have contributed to a selection bias, as most patients included in the study were veterans with uncontrolled T2DM requiring insulin. Finally, as a retrospective study involving patient records, investigators relied heavily on information provided in patients’ charts (HbA1c, body weight, insulin doses, adverse effects, etc), which may not entirely be accurate and may have been missing other pertinent information.

Conclusions

The daily dose reduction of liraglutide from 1.8 mg to 1.2 mg due to a cost-savings initiative resulted in a HbA1c increase of 0.5% in a 6-month period. Due to HbA1c increases, 41.2% of veterans underwent an insulin dose increase, negating the insulin-sparing role of liraglutide. Although this study further confirms the dose-dependent HbA1c reduction with liraglutide that has been noted in previous trials, long-term prospective studies and cost-effectiveness analyses are warranted to assess the overall clinical significance and other benefits of the change, including its effects on cardiovascular outcomes.

References

1. American Diabetes Association. Pharmacologic approaches to glycemic treatment. Diabetes Care. 2019;42(suppl 1):S90-S102. doi:10.2337/dc19-S009

2. Hinnen D. Glucagon-like peptide 1 receptor agonists for type 2 diabetes. Diabetes Spectr. 2017;30(3):202-210. doi:10.2337/ds16-0026

3. Marso SP, Daniels GH, Brown-Frandsen K, et al. Liraglutide and cardiovascular outcomes in type 2 diabetes. N Engl J Med. 2016;375(4):311-322. doi:10.1056/NEJMoa1603827

4. Lane W, Weinrib S, Rappaport J, Hale C. The effect of addition of liraglutide to high-dose intensive insulin therapy: a randomized prospective trial. Diabetes Obes Metab. 2014;16(9):827-832. doi:10.1111/dom.12286

5. Ahmann A, Rodbard HW, Rosenstock J, et al. Efficacy and safety of liraglutide versus placebo added to basal insulin analogues (with or without metformin) in patients with type 2 diabetes: a randomized, placebo-controlled trial. Diabetes Obes Metab. 2015;17(11):1056-1064. doi:10.1111/dom.12539

6. Lane W, Weinrib S, Rappaport J. The effect of liraglutide added to U-500 insulin in patients with type 2 diabetes and high insulin requirements. Diabetes Technol Ther. 2011;13(5):592-595. doi:10.1089/dia.2010.0221

7. Garber A, Henry R, Ratner R, et al. Liraglutide versus glimepiride monotherapy for type 2 diabetes (LEAD-3 Mono): a randomised, 52-week, phase III, double-blind, parallel-treatment trial. Lancet. 2009;373(9662):473-481. doi:10.1016/S0140-6736(08)61246-5.

8. Victoza [package insert]. Princeton: Novo Nordisk Inc; 2020.

References

1. American Diabetes Association. Pharmacologic approaches to glycemic treatment. Diabetes Care. 2019;42(suppl 1):S90-S102. doi:10.2337/dc19-S009

2. Hinnen D. Glucagon-like peptide 1 receptor agonists for type 2 diabetes. Diabetes Spectr. 2017;30(3):202-210. doi:10.2337/ds16-0026

3. Marso SP, Daniels GH, Brown-Frandsen K, et al. Liraglutide and cardiovascular outcomes in type 2 diabetes. N Engl J Med. 2016;375(4):311-322. doi:10.1056/NEJMoa1603827

4. Lane W, Weinrib S, Rappaport J, Hale C. The effect of addition of liraglutide to high-dose intensive insulin therapy: a randomized prospective trial. Diabetes Obes Metab. 2014;16(9):827-832. doi:10.1111/dom.12286

5. Ahmann A, Rodbard HW, Rosenstock J, et al. Efficacy and safety of liraglutide versus placebo added to basal insulin analogues (with or without metformin) in patients with type 2 diabetes: a randomized, placebo-controlled trial. Diabetes Obes Metab. 2015;17(11):1056-1064. doi:10.1111/dom.12539

6. Lane W, Weinrib S, Rappaport J. The effect of liraglutide added to U-500 insulin in patients with type 2 diabetes and high insulin requirements. Diabetes Technol Ther. 2011;13(5):592-595. doi:10.1089/dia.2010.0221

7. Garber A, Henry R, Ratner R, et al. Liraglutide versus glimepiride monotherapy for type 2 diabetes (LEAD-3 Mono): a randomised, 52-week, phase III, double-blind, parallel-treatment trial. Lancet. 2009;373(9662):473-481. doi:10.1016/S0140-6736(08)61246-5.

8. Victoza [package insert]. Princeton: Novo Nordisk Inc; 2020.

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