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ONLINE EXCLUSIVE: Budget Cuts Threaten Doctor-Aid Programs
Just as the federal government is introducing several new programs to promote the recruitment, training, and placement of more primary-care providers, other efforts are being threatened with funding decreases or elimination.
One, the Children’s Hospitals Graduate Medical Education program, distributed $268 million in pediatric training funds to 55 freestanding children’s teaching hospitals in fiscal-year 2012. The program, however, was zeroed out in President Obama’s initial budget proposal last year, and the president’s fiscal-year 2013 budget proposal recommends slashing the program’s annual funding by two-thirds to $88 million.
—Robert Phillips, MD, MSPH, director, Robert Graham Center, a primary-care research center in Washington, D.C.
Kathleen Klink, MD, director of the Division of Medicine and Dentistry in the federal Health Resources and Services Administration, also points to the Title VII Area Health Education Center program as an example of government-funded assistance. The competitive grant process supports innovation and access to care for vulnerable populations, in part by improving the primary-care workforce’s geographic and ethnic distribution. Some of the grantees introduce high school students to medical careers, while others recruit and train minorities or place providers in underserved communities, effectively targeting both ends of the pipeline.
Robert Phillips, MD, MSPH, director of the Washington, D.C.-based Robert Graham Center, a primary-care research center, has high regard for the Title VII program. But making an impact requires a long-term investment, he cautions. “In the states that do this well, like Arkansas and North Carolina, it pays off,” he says. “But they can’t prove it sufficiently to save their budget.” The federal program received $233 million in fiscal-year 2012. Under the president’s fiscal-year 2013 budget proposal, however, the funding is likewise eliminated.
Other programs have debuted in recent legislation. One program, introduced under the Affordable Care Act, provides $230 million over five years to expand residency training slots within ambulatory primary-care settings. Dr. Klink says the Teaching Health Center Graduate Medical Education program, as it is known, has so far supported 22 health centers and 150 enrolled residents. “It’s just the beginning,” she adds.
Another program, the Primary Care Residency Expansion, likewise initiated under the Affordable Care Act, will distribute $167 million to train an estimated 700 primary-care physicians (PCPs), 900 physician assistants, and 600 nurse practitioners and nurse midwives over five years. Glen Stream, president of the American Academy of Family Physicians, recently told The Washington Post, “It’s good, but it’s also a drop in the bucket.”
Bryn Nelson is a freelance medical writer in Seattle.
Just as the federal government is introducing several new programs to promote the recruitment, training, and placement of more primary-care providers, other efforts are being threatened with funding decreases or elimination.
One, the Children’s Hospitals Graduate Medical Education program, distributed $268 million in pediatric training funds to 55 freestanding children’s teaching hospitals in fiscal-year 2012. The program, however, was zeroed out in President Obama’s initial budget proposal last year, and the president’s fiscal-year 2013 budget proposal recommends slashing the program’s annual funding by two-thirds to $88 million.
—Robert Phillips, MD, MSPH, director, Robert Graham Center, a primary-care research center in Washington, D.C.
Kathleen Klink, MD, director of the Division of Medicine and Dentistry in the federal Health Resources and Services Administration, also points to the Title VII Area Health Education Center program as an example of government-funded assistance. The competitive grant process supports innovation and access to care for vulnerable populations, in part by improving the primary-care workforce’s geographic and ethnic distribution. Some of the grantees introduce high school students to medical careers, while others recruit and train minorities or place providers in underserved communities, effectively targeting both ends of the pipeline.
Robert Phillips, MD, MSPH, director of the Washington, D.C.-based Robert Graham Center, a primary-care research center, has high regard for the Title VII program. But making an impact requires a long-term investment, he cautions. “In the states that do this well, like Arkansas and North Carolina, it pays off,” he says. “But they can’t prove it sufficiently to save their budget.” The federal program received $233 million in fiscal-year 2012. Under the president’s fiscal-year 2013 budget proposal, however, the funding is likewise eliminated.
Other programs have debuted in recent legislation. One program, introduced under the Affordable Care Act, provides $230 million over five years to expand residency training slots within ambulatory primary-care settings. Dr. Klink says the Teaching Health Center Graduate Medical Education program, as it is known, has so far supported 22 health centers and 150 enrolled residents. “It’s just the beginning,” she adds.
Another program, the Primary Care Residency Expansion, likewise initiated under the Affordable Care Act, will distribute $167 million to train an estimated 700 primary-care physicians (PCPs), 900 physician assistants, and 600 nurse practitioners and nurse midwives over five years. Glen Stream, president of the American Academy of Family Physicians, recently told The Washington Post, “It’s good, but it’s also a drop in the bucket.”
Bryn Nelson is a freelance medical writer in Seattle.
Just as the federal government is introducing several new programs to promote the recruitment, training, and placement of more primary-care providers, other efforts are being threatened with funding decreases or elimination.
One, the Children’s Hospitals Graduate Medical Education program, distributed $268 million in pediatric training funds to 55 freestanding children’s teaching hospitals in fiscal-year 2012. The program, however, was zeroed out in President Obama’s initial budget proposal last year, and the president’s fiscal-year 2013 budget proposal recommends slashing the program’s annual funding by two-thirds to $88 million.
—Robert Phillips, MD, MSPH, director, Robert Graham Center, a primary-care research center in Washington, D.C.
Kathleen Klink, MD, director of the Division of Medicine and Dentistry in the federal Health Resources and Services Administration, also points to the Title VII Area Health Education Center program as an example of government-funded assistance. The competitive grant process supports innovation and access to care for vulnerable populations, in part by improving the primary-care workforce’s geographic and ethnic distribution. Some of the grantees introduce high school students to medical careers, while others recruit and train minorities or place providers in underserved communities, effectively targeting both ends of the pipeline.
Robert Phillips, MD, MSPH, director of the Washington, D.C.-based Robert Graham Center, a primary-care research center, has high regard for the Title VII program. But making an impact requires a long-term investment, he cautions. “In the states that do this well, like Arkansas and North Carolina, it pays off,” he says. “But they can’t prove it sufficiently to save their budget.” The federal program received $233 million in fiscal-year 2012. Under the president’s fiscal-year 2013 budget proposal, however, the funding is likewise eliminated.
Other programs have debuted in recent legislation. One program, introduced under the Affordable Care Act, provides $230 million over five years to expand residency training slots within ambulatory primary-care settings. Dr. Klink says the Teaching Health Center Graduate Medical Education program, as it is known, has so far supported 22 health centers and 150 enrolled residents. “It’s just the beginning,” she adds.
Another program, the Primary Care Residency Expansion, likewise initiated under the Affordable Care Act, will distribute $167 million to train an estimated 700 primary-care physicians (PCPs), 900 physician assistants, and 600 nurse practitioners and nurse midwives over five years. Glen Stream, president of the American Academy of Family Physicians, recently told The Washington Post, “It’s good, but it’s also a drop in the bucket.”
Bryn Nelson is a freelance medical writer in Seattle.
The Artificial Heart and LVADs
The permanent implantable cardiac heart pump was developed in the mid-20th century as an outgrowth of the success of heart-lung machines –which provided systemic support during cardiac arrest – required for valve replacement and later coronary bypass surgery.
The challenge to build a totally implantable heart has been the "holy grail" for almost half a century and occurred long before heart failure therapy was high on the agenda of cardiologists. It emerged as a result of the experimental perseverance and genius of Dr. Willem Kolff, who in 1957 was able to totally support dogs using an artificial heart device. Other surgeons, working in separate laboratories – including Dr. Adrian Kantrowitz, Dr. Denton Cooley, and Dr. Robert Jarvik – provided additional research support for the ultimate creation of the artificial heart. However, it wasn’t until 15 years later, in 1982, that Dr. Kolff captured the attention of the medical and lay press by supporting a Seattle dentist suffering from severe heart failure, Dr. Barney Clark, for 112 days with the heart that he and Dr. Jarvik had developed.
Since then, research on the totally implantable heart led to the approval in 2004 the SynCardia temporary Total Artificial Heart as a bridge to transplantation in patients with biventricular failure. In 2001, the first AbioCor totally implantable pump with an external power source was implanted. Initially approved by the FDA as a bridge to transplant for patients with biventricular failure, more recently it has been approved for patients with end stage heart failure as destination therapy.
As work went forward on the totally implantable heart, left ventricular assist devices (LVAD) were also being developed. The pharmacologic support of end stage left ventricular failure with vasodilators and inotropic agents has provided modest temporary benefit; but it has become obvious that we have reached a therapeutic wall with very few new medical options on the horizon. LVADs appeared to be our current best hope of providing additional short- and long-term support for the failing left ventricle.
Dr. E. Stanley Crawford and Dr. Domingo Liotta performed the first LVAD implant in 1966 in a patient who had cardiac arrest after surgery. Since then, there have been a variety of LVADs developed that were initially pulsatile, but now are more commonly continuous flow. Both types of devices are externally powered via drive lines and able to achieve flows up to 10 L/min and are interposed between a left ventricular apical conduit and an ascending aorta conduit. The initial LVADs were pulsatile devices based on the presumption that pulsatile flow was important for systemic perfusion and normal physiology. However, continuous-flow LVAD has proven to be quite compatible with normal organ function and perfusion, and shown better durability and lower mortality and morbidity compared to the pulsatile flow devices. (J. Am. Coll. Cardiol. 2011;57:1890-8).
In addition, as noted in "The Lead," LVADs have shown superiority over medical therapy in patients with advanced heart failure as destination therapy, and the 1-year mortality with continuous flow LVADs now approximates the experience with the 1-year mortality of patients receiving a heart transplant.
The expanded use of LVADs from creating a bridge for transplantation to destination therapy has opened an entirely new opportunity for the use of LVADs in the treatment of acute, but most importantly, chronic heart failure. The limitation of heart transplantation as a function of donor availability together with the limitation of medical therapy for heart failure patients has generated increased interest in LVADs for chronic therapy in patients with end-stage heart failure. The observation that in some patients, particularly those with reversible heart failure like myocarditis, the heart may actually recover during LVAD therapy and allow for its removal, provides a window into future clinical applications (N. Engl. J. Med. 2006:355;1873-84)
The potential for further miniaturization of these devices and the potential for total implantability also open new horizons for LVAD therapy. Total implantability hinges on the ability to apply technology of transcutaneous power source that is already available in a number of electronic implantable devices, including the total heart implant. The resolution of these technical issues will allow for further expansion of the clinical indications for LVAD therapy.
Dr. Goldstein, medical editor of Cardiology News, is a professor of medicine at Wayne State University and division head emeritus of cardiovascular medicine at Henry Ford Hospital, both in Detroit. He is on data safety monitoring committees for the National Institutes of Health and several pharmaceutical companies.
The permanent implantable cardiac heart pump was developed in the mid-20th century as an outgrowth of the success of heart-lung machines –which provided systemic support during cardiac arrest – required for valve replacement and later coronary bypass surgery.
The challenge to build a totally implantable heart has been the "holy grail" for almost half a century and occurred long before heart failure therapy was high on the agenda of cardiologists. It emerged as a result of the experimental perseverance and genius of Dr. Willem Kolff, who in 1957 was able to totally support dogs using an artificial heart device. Other surgeons, working in separate laboratories – including Dr. Adrian Kantrowitz, Dr. Denton Cooley, and Dr. Robert Jarvik – provided additional research support for the ultimate creation of the artificial heart. However, it wasn’t until 15 years later, in 1982, that Dr. Kolff captured the attention of the medical and lay press by supporting a Seattle dentist suffering from severe heart failure, Dr. Barney Clark, for 112 days with the heart that he and Dr. Jarvik had developed.
Since then, research on the totally implantable heart led to the approval in 2004 the SynCardia temporary Total Artificial Heart as a bridge to transplantation in patients with biventricular failure. In 2001, the first AbioCor totally implantable pump with an external power source was implanted. Initially approved by the FDA as a bridge to transplant for patients with biventricular failure, more recently it has been approved for patients with end stage heart failure as destination therapy.
As work went forward on the totally implantable heart, left ventricular assist devices (LVAD) were also being developed. The pharmacologic support of end stage left ventricular failure with vasodilators and inotropic agents has provided modest temporary benefit; but it has become obvious that we have reached a therapeutic wall with very few new medical options on the horizon. LVADs appeared to be our current best hope of providing additional short- and long-term support for the failing left ventricle.
Dr. E. Stanley Crawford and Dr. Domingo Liotta performed the first LVAD implant in 1966 in a patient who had cardiac arrest after surgery. Since then, there have been a variety of LVADs developed that were initially pulsatile, but now are more commonly continuous flow. Both types of devices are externally powered via drive lines and able to achieve flows up to 10 L/min and are interposed between a left ventricular apical conduit and an ascending aorta conduit. The initial LVADs were pulsatile devices based on the presumption that pulsatile flow was important for systemic perfusion and normal physiology. However, continuous-flow LVAD has proven to be quite compatible with normal organ function and perfusion, and shown better durability and lower mortality and morbidity compared to the pulsatile flow devices. (J. Am. Coll. Cardiol. 2011;57:1890-8).
In addition, as noted in "The Lead," LVADs have shown superiority over medical therapy in patients with advanced heart failure as destination therapy, and the 1-year mortality with continuous flow LVADs now approximates the experience with the 1-year mortality of patients receiving a heart transplant.
The expanded use of LVADs from creating a bridge for transplantation to destination therapy has opened an entirely new opportunity for the use of LVADs in the treatment of acute, but most importantly, chronic heart failure. The limitation of heart transplantation as a function of donor availability together with the limitation of medical therapy for heart failure patients has generated increased interest in LVADs for chronic therapy in patients with end-stage heart failure. The observation that in some patients, particularly those with reversible heart failure like myocarditis, the heart may actually recover during LVAD therapy and allow for its removal, provides a window into future clinical applications (N. Engl. J. Med. 2006:355;1873-84)
The potential for further miniaturization of these devices and the potential for total implantability also open new horizons for LVAD therapy. Total implantability hinges on the ability to apply technology of transcutaneous power source that is already available in a number of electronic implantable devices, including the total heart implant. The resolution of these technical issues will allow for further expansion of the clinical indications for LVAD therapy.
Dr. Goldstein, medical editor of Cardiology News, is a professor of medicine at Wayne State University and division head emeritus of cardiovascular medicine at Henry Ford Hospital, both in Detroit. He is on data safety monitoring committees for the National Institutes of Health and several pharmaceutical companies.
The permanent implantable cardiac heart pump was developed in the mid-20th century as an outgrowth of the success of heart-lung machines –which provided systemic support during cardiac arrest – required for valve replacement and later coronary bypass surgery.
The challenge to build a totally implantable heart has been the "holy grail" for almost half a century and occurred long before heart failure therapy was high on the agenda of cardiologists. It emerged as a result of the experimental perseverance and genius of Dr. Willem Kolff, who in 1957 was able to totally support dogs using an artificial heart device. Other surgeons, working in separate laboratories – including Dr. Adrian Kantrowitz, Dr. Denton Cooley, and Dr. Robert Jarvik – provided additional research support for the ultimate creation of the artificial heart. However, it wasn’t until 15 years later, in 1982, that Dr. Kolff captured the attention of the medical and lay press by supporting a Seattle dentist suffering from severe heart failure, Dr. Barney Clark, for 112 days with the heart that he and Dr. Jarvik had developed.
Since then, research on the totally implantable heart led to the approval in 2004 the SynCardia temporary Total Artificial Heart as a bridge to transplantation in patients with biventricular failure. In 2001, the first AbioCor totally implantable pump with an external power source was implanted. Initially approved by the FDA as a bridge to transplant for patients with biventricular failure, more recently it has been approved for patients with end stage heart failure as destination therapy.
As work went forward on the totally implantable heart, left ventricular assist devices (LVAD) were also being developed. The pharmacologic support of end stage left ventricular failure with vasodilators and inotropic agents has provided modest temporary benefit; but it has become obvious that we have reached a therapeutic wall with very few new medical options on the horizon. LVADs appeared to be our current best hope of providing additional short- and long-term support for the failing left ventricle.
Dr. E. Stanley Crawford and Dr. Domingo Liotta performed the first LVAD implant in 1966 in a patient who had cardiac arrest after surgery. Since then, there have been a variety of LVADs developed that were initially pulsatile, but now are more commonly continuous flow. Both types of devices are externally powered via drive lines and able to achieve flows up to 10 L/min and are interposed between a left ventricular apical conduit and an ascending aorta conduit. The initial LVADs were pulsatile devices based on the presumption that pulsatile flow was important for systemic perfusion and normal physiology. However, continuous-flow LVAD has proven to be quite compatible with normal organ function and perfusion, and shown better durability and lower mortality and morbidity compared to the pulsatile flow devices. (J. Am. Coll. Cardiol. 2011;57:1890-8).
In addition, as noted in "The Lead," LVADs have shown superiority over medical therapy in patients with advanced heart failure as destination therapy, and the 1-year mortality with continuous flow LVADs now approximates the experience with the 1-year mortality of patients receiving a heart transplant.
The expanded use of LVADs from creating a bridge for transplantation to destination therapy has opened an entirely new opportunity for the use of LVADs in the treatment of acute, but most importantly, chronic heart failure. The limitation of heart transplantation as a function of donor availability together with the limitation of medical therapy for heart failure patients has generated increased interest in LVADs for chronic therapy in patients with end-stage heart failure. The observation that in some patients, particularly those with reversible heart failure like myocarditis, the heart may actually recover during LVAD therapy and allow for its removal, provides a window into future clinical applications (N. Engl. J. Med. 2006:355;1873-84)
The potential for further miniaturization of these devices and the potential for total implantability also open new horizons for LVAD therapy. Total implantability hinges on the ability to apply technology of transcutaneous power source that is already available in a number of electronic implantable devices, including the total heart implant. The resolution of these technical issues will allow for further expansion of the clinical indications for LVAD therapy.
Dr. Goldstein, medical editor of Cardiology News, is a professor of medicine at Wayne State University and division head emeritus of cardiovascular medicine at Henry Ford Hospital, both in Detroit. He is on data safety monitoring committees for the National Institutes of Health and several pharmaceutical companies.
New Paradigms in HIV Prevention
The recent International AIDS Conference held in Washington highlighted new paradigms in HIV prevention. The biennial meeting brought more than 20,000 attendees together to focus on the political and social – as well as the clinical – aspects of the HIV/AIDS epidemic.
A major discussion topic was the new approach to HIV prevention. Back in the early 1980s, "safe sex" via condoms and abstinence was the focus of prevention strategies. In 2006, the Centers for Disease Control and Prevention recommended routine testing for everyone, in order to broaden the potential for both treatment and prevention (MMWR 2006;55(RR-14);1-17). But in the past 3-4 years, we’ve expanded the concept of prevention in the following three ways:
• Verbal consent. In July, Massachusetts became the 49th state to stop requiring written consent for HIV testing. Other states have done the same over the last 18-24 months. Now the test is explained to the patient, and the patient can simply agree verbally to be tested for HIV, without having to sign a form. We believe that’s a significant step forward, because the requirement for a signature made HIV testing different from any other medical test, which often scared patients and resulted in their reluctance to be tested.
• Treatment as prevention. In August 2011, the landmark HIV Prevention Trial 052 (HPTN 052) showed that early antiviral therapy in HIV-infected individuals who were in serodiscordant sexual relationships reduced transmission to their uninfected partners by 96% (N. Engl. J. Med. 2011;365:493-505). This means that now, part of the clinical decision about starting treatment involves consideration of the patient’s sexual contacts and their protection as well.
There is still concern about the side effects (such as insomnia, gastrointestinal problems, and bone demineralization) of antiretrovirals, as well as uncertainty about long-term adherence when treatment is started early. However, the new data on transmission have shifted the risk/benefit equation in favor of treating more people. In HPTN 052, treatment was started at CD4 counts of 350-550 cells per mcL. Now, many experts advocate starting HIV-infected individuals at T cell counts of 500 or greater, for both improved outcome in the individual and reduction in the risk of HIV transmission.
• Prophylaxis as prevention. With the approval of the combination emtricitabine and tenofovir disoproxil fumarate (Truvada) for pre-exposure prophylaxis, we now have the option of not only treating the HIV-infected partner in serodiscordant couples, but also prophylaxing the uninfected partner in order to prevent transmission.
To do this, the individual must be tested and prove to be HIV negative prior to starting on pre-exposure prophylaxis. Regular testing must also be done every 3-6 months thereafter for as long as the person is taking Truvada. Such testing is necessary because Truvada (which comprises two reverse transcriptase inhibitors) does not sufficiently suppress viral replication by itself, and must be used in combination with antiretrovirals of other classes in the treatment of HIV-infected individuals. If a person were to become HIV infected while taking only Truvada without other classes of antiretrovirals, there is a high risk for the development of resistance as a result of mutations in the replicating virus.
Of course, it could be argued that it is more ethical to treat the person who actually has the disease than to subject an uninfected person to potential antiretroviral toxicity. However, consider the following case I saw recently: A pregnant woman said that her HIV-infected partner was taking his medication, but the partner’s physician said he hadn\'t seen the patient in many months and didn’t know if he was still taking the antiretrovirals. The woman was in labor, and said she’d had sex with the man recently. If there had been time, we would have started her on nevirapine and AZT (zidovudine) prior to delivery. But in this case, she delivered too quickly. So we put the infant on antiretrovirals and tested the mother a month later. She was negative, so we were able to take the infant off the drugs.
There are many examples like this, in which the real world doesn’t quite line up with what we try to achieve through research and guidelines.
Of course, cost is a consideration as well. Insurance will typically cover some or all of the cost ($800-$1,000 per month) for antiretroviral treatment, but it’s too early to know whether that coverage will extend to prophylaxis. I think the cost will limit its use in that capacity, at least until reasonable clinical guidelines are developed to determine which patients would be best targeted with this approach. And just to note: Although Truvada is approved for treating those as young as age 12 years, thus far its use as prophylaxis is restricted to adults aged 18 years and older.
Dr. Pelton is chief of pediatric infectious disease and coordinator of the maternal-child HIV program at Boston Medical Center. He said he had no relevant financial disclosures.
The recent International AIDS Conference held in Washington highlighted new paradigms in HIV prevention. The biennial meeting brought more than 20,000 attendees together to focus on the political and social – as well as the clinical – aspects of the HIV/AIDS epidemic.
A major discussion topic was the new approach to HIV prevention. Back in the early 1980s, "safe sex" via condoms and abstinence was the focus of prevention strategies. In 2006, the Centers for Disease Control and Prevention recommended routine testing for everyone, in order to broaden the potential for both treatment and prevention (MMWR 2006;55(RR-14);1-17). But in the past 3-4 years, we’ve expanded the concept of prevention in the following three ways:
• Verbal consent. In July, Massachusetts became the 49th state to stop requiring written consent for HIV testing. Other states have done the same over the last 18-24 months. Now the test is explained to the patient, and the patient can simply agree verbally to be tested for HIV, without having to sign a form. We believe that’s a significant step forward, because the requirement for a signature made HIV testing different from any other medical test, which often scared patients and resulted in their reluctance to be tested.
• Treatment as prevention. In August 2011, the landmark HIV Prevention Trial 052 (HPTN 052) showed that early antiviral therapy in HIV-infected individuals who were in serodiscordant sexual relationships reduced transmission to their uninfected partners by 96% (N. Engl. J. Med. 2011;365:493-505). This means that now, part of the clinical decision about starting treatment involves consideration of the patient’s sexual contacts and their protection as well.
There is still concern about the side effects (such as insomnia, gastrointestinal problems, and bone demineralization) of antiretrovirals, as well as uncertainty about long-term adherence when treatment is started early. However, the new data on transmission have shifted the risk/benefit equation in favor of treating more people. In HPTN 052, treatment was started at CD4 counts of 350-550 cells per mcL. Now, many experts advocate starting HIV-infected individuals at T cell counts of 500 or greater, for both improved outcome in the individual and reduction in the risk of HIV transmission.
• Prophylaxis as prevention. With the approval of the combination emtricitabine and tenofovir disoproxil fumarate (Truvada) for pre-exposure prophylaxis, we now have the option of not only treating the HIV-infected partner in serodiscordant couples, but also prophylaxing the uninfected partner in order to prevent transmission.
To do this, the individual must be tested and prove to be HIV negative prior to starting on pre-exposure prophylaxis. Regular testing must also be done every 3-6 months thereafter for as long as the person is taking Truvada. Such testing is necessary because Truvada (which comprises two reverse transcriptase inhibitors) does not sufficiently suppress viral replication by itself, and must be used in combination with antiretrovirals of other classes in the treatment of HIV-infected individuals. If a person were to become HIV infected while taking only Truvada without other classes of antiretrovirals, there is a high risk for the development of resistance as a result of mutations in the replicating virus.
Of course, it could be argued that it is more ethical to treat the person who actually has the disease than to subject an uninfected person to potential antiretroviral toxicity. However, consider the following case I saw recently: A pregnant woman said that her HIV-infected partner was taking his medication, but the partner’s physician said he hadn\'t seen the patient in many months and didn’t know if he was still taking the antiretrovirals. The woman was in labor, and said she’d had sex with the man recently. If there had been time, we would have started her on nevirapine and AZT (zidovudine) prior to delivery. But in this case, she delivered too quickly. So we put the infant on antiretrovirals and tested the mother a month later. She was negative, so we were able to take the infant off the drugs.
There are many examples like this, in which the real world doesn’t quite line up with what we try to achieve through research and guidelines.
Of course, cost is a consideration as well. Insurance will typically cover some or all of the cost ($800-$1,000 per month) for antiretroviral treatment, but it’s too early to know whether that coverage will extend to prophylaxis. I think the cost will limit its use in that capacity, at least until reasonable clinical guidelines are developed to determine which patients would be best targeted with this approach. And just to note: Although Truvada is approved for treating those as young as age 12 years, thus far its use as prophylaxis is restricted to adults aged 18 years and older.
Dr. Pelton is chief of pediatric infectious disease and coordinator of the maternal-child HIV program at Boston Medical Center. He said he had no relevant financial disclosures.
The recent International AIDS Conference held in Washington highlighted new paradigms in HIV prevention. The biennial meeting brought more than 20,000 attendees together to focus on the political and social – as well as the clinical – aspects of the HIV/AIDS epidemic.
A major discussion topic was the new approach to HIV prevention. Back in the early 1980s, "safe sex" via condoms and abstinence was the focus of prevention strategies. In 2006, the Centers for Disease Control and Prevention recommended routine testing for everyone, in order to broaden the potential for both treatment and prevention (MMWR 2006;55(RR-14);1-17). But in the past 3-4 years, we’ve expanded the concept of prevention in the following three ways:
• Verbal consent. In July, Massachusetts became the 49th state to stop requiring written consent for HIV testing. Other states have done the same over the last 18-24 months. Now the test is explained to the patient, and the patient can simply agree verbally to be tested for HIV, without having to sign a form. We believe that’s a significant step forward, because the requirement for a signature made HIV testing different from any other medical test, which often scared patients and resulted in their reluctance to be tested.
• Treatment as prevention. In August 2011, the landmark HIV Prevention Trial 052 (HPTN 052) showed that early antiviral therapy in HIV-infected individuals who were in serodiscordant sexual relationships reduced transmission to their uninfected partners by 96% (N. Engl. J. Med. 2011;365:493-505). This means that now, part of the clinical decision about starting treatment involves consideration of the patient’s sexual contacts and their protection as well.
There is still concern about the side effects (such as insomnia, gastrointestinal problems, and bone demineralization) of antiretrovirals, as well as uncertainty about long-term adherence when treatment is started early. However, the new data on transmission have shifted the risk/benefit equation in favor of treating more people. In HPTN 052, treatment was started at CD4 counts of 350-550 cells per mcL. Now, many experts advocate starting HIV-infected individuals at T cell counts of 500 or greater, for both improved outcome in the individual and reduction in the risk of HIV transmission.
• Prophylaxis as prevention. With the approval of the combination emtricitabine and tenofovir disoproxil fumarate (Truvada) for pre-exposure prophylaxis, we now have the option of not only treating the HIV-infected partner in serodiscordant couples, but also prophylaxing the uninfected partner in order to prevent transmission.
To do this, the individual must be tested and prove to be HIV negative prior to starting on pre-exposure prophylaxis. Regular testing must also be done every 3-6 months thereafter for as long as the person is taking Truvada. Such testing is necessary because Truvada (which comprises two reverse transcriptase inhibitors) does not sufficiently suppress viral replication by itself, and must be used in combination with antiretrovirals of other classes in the treatment of HIV-infected individuals. If a person were to become HIV infected while taking only Truvada without other classes of antiretrovirals, there is a high risk for the development of resistance as a result of mutations in the replicating virus.
Of course, it could be argued that it is more ethical to treat the person who actually has the disease than to subject an uninfected person to potential antiretroviral toxicity. However, consider the following case I saw recently: A pregnant woman said that her HIV-infected partner was taking his medication, but the partner’s physician said he hadn\'t seen the patient in many months and didn’t know if he was still taking the antiretrovirals. The woman was in labor, and said she’d had sex with the man recently. If there had been time, we would have started her on nevirapine and AZT (zidovudine) prior to delivery. But in this case, she delivered too quickly. So we put the infant on antiretrovirals and tested the mother a month later. She was negative, so we were able to take the infant off the drugs.
There are many examples like this, in which the real world doesn’t quite line up with what we try to achieve through research and guidelines.
Of course, cost is a consideration as well. Insurance will typically cover some or all of the cost ($800-$1,000 per month) for antiretroviral treatment, but it’s too early to know whether that coverage will extend to prophylaxis. I think the cost will limit its use in that capacity, at least until reasonable clinical guidelines are developed to determine which patients would be best targeted with this approach. And just to note: Although Truvada is approved for treating those as young as age 12 years, thus far its use as prophylaxis is restricted to adults aged 18 years and older.
Dr. Pelton is chief of pediatric infectious disease and coordinator of the maternal-child HIV program at Boston Medical Center. He said he had no relevant financial disclosures.
Why I Run
The Olympic Games have dominated the news in the past week. Part of the appeal is that the athletes seem so normal. They have parents. They go to school. They eat. In fact, there is now a Facebook page called "My Name Is Usain Bolt And I Love Chicken Nuggets."
When we listen to their stories, transfixed as we are by the minutiae of their lives, it is as if, in their "normalcy," we can almost see ourselves; as if by achieving the same degree of masochistic discipline, we might also turn ourselves into the better versions of ourselves that we know are hiding somewhere.
But I think another reason the athletes fascinate us is that there is a meditative, almost spiritual quality to them. It seems to permeate everything, from their training regimens to their very demeanor on that nerve-wracking world stage of Olympic sports.
I ran my first half marathon in March of this year, a few months before my 37th birthday.
There are no elaborate explanations for how I started running. I used to run in college, until I didn’t want to anymore. For a long time, I maintained a sedentary lifestyle. Medical school, marriage, residency, and fellowship provided convenient excuses.
But 3 years ago, a friend was diagnosed with cancer, and soon after that she started running. She started off with just 2 miles every day, and I thought to myself that if she, with her new life-altering reality, can run, shouldn’t I, too, be challenging myself to do something good for myself?
I couldn’t even run 2 miles. I started with half a mile and was done.
Three years later I finally ran a half-marathon. Three years. There are books out there that promise you can go from "couch to [insert whatever goal you want]" in 13 weeks or 26 weeks. It took me 3 years.
The reality is, if you keep at something consistently, you’ll get comfortable with it, and it may take 13 weeks, but it may not. When I encourage patients to exercise, I don’t frame it in terms of achieving a goal in a given time period. Consistency is very frequently just as important as goal setting; there is no need to torture yourself by setting expectations too high.
I don’t particularly enjoy running, but I don’t mind it either. It is inexpensive, does not require a lot of training, and your only competitor is yourself. You decide when you’re done. You can run and chat with friends or listen to music or podcasts. Or you can run with only your internal monologue for company. You can run at the gym and watch your favorite reality show (anyone with a guilty pleasure out there?), or run in your neighborhood and make friends with neighborhood pets.
Another added advantage, for those who might have some expendable income, is that you can run for a cause. The Arthritis Foundation, for example, is a great cause we can all get behind.
And then there’s the proverbial "runner’s high." If this is real (and there is not much evidence that it is), I didn’t get it. Or at least I did not experience what I expected it to feel like. However, I did feel an overwhelming sense of having accomplished something when I ran the half marathon. The last 2 miles of the race course were lined with spectators cheering us on, reaching out to slap hands with us, and holding up signs of people running for various causes. This was an extremely emotional moment for reasons I cannot explain scientifically, but I cried seeing those placards.
After that first half-marathon, I did not run as consistently as I should have, for various reasons (a family emergency; a subsequent soleus injury from, perhaps, stretching too enthusiastically after a run). But I signed up for another half marathon, coming up in 2 weeks, thereby forcing myself to get back to my regimen. And I discovered a wonderful thing when I started up again: My mood improved greatly. I did not even know that I was dysthymic until I started running again.
Haruki Murakami, famous writer of (really strange) Japanese fiction, is also an avid runner and has several marathons under his belt. Not only has he run the Boston Marathon, one of the hardest marathon courses, he has also run the real Marathon, from the site of the battle of Marathon to Athens (which thankfully survived, in contrast to Pheidippides’s unfortunate outcome). Murakami started running later in life as well, and documents this in his book "What I Talk About When I Talk About Running" (New York: Alfred A. Knopf, 2008).
Perhaps my favorite line in the book, and my ultimate reason for running: "Somerset Maugham once said that in each shave lies a philosophy. ... No matter how mundane some action might appear, keep at it long enough and it becomes a contemplative, even meditative act."
And, in fact, that previously mentioned Facebook page, the one called "My Name Is Usain Bolt And I Love Chicken Nuggets," its page description says "like if you love Usain Bolt’s calm relaxed personality."
Dr. Chan practices rheumatology in Pawtucket, R.I.
The Olympic Games have dominated the news in the past week. Part of the appeal is that the athletes seem so normal. They have parents. They go to school. They eat. In fact, there is now a Facebook page called "My Name Is Usain Bolt And I Love Chicken Nuggets."
When we listen to their stories, transfixed as we are by the minutiae of their lives, it is as if, in their "normalcy," we can almost see ourselves; as if by achieving the same degree of masochistic discipline, we might also turn ourselves into the better versions of ourselves that we know are hiding somewhere.
But I think another reason the athletes fascinate us is that there is a meditative, almost spiritual quality to them. It seems to permeate everything, from their training regimens to their very demeanor on that nerve-wracking world stage of Olympic sports.
I ran my first half marathon in March of this year, a few months before my 37th birthday.
There are no elaborate explanations for how I started running. I used to run in college, until I didn’t want to anymore. For a long time, I maintained a sedentary lifestyle. Medical school, marriage, residency, and fellowship provided convenient excuses.
But 3 years ago, a friend was diagnosed with cancer, and soon after that she started running. She started off with just 2 miles every day, and I thought to myself that if she, with her new life-altering reality, can run, shouldn’t I, too, be challenging myself to do something good for myself?
I couldn’t even run 2 miles. I started with half a mile and was done.
Three years later I finally ran a half-marathon. Three years. There are books out there that promise you can go from "couch to [insert whatever goal you want]" in 13 weeks or 26 weeks. It took me 3 years.
The reality is, if you keep at something consistently, you’ll get comfortable with it, and it may take 13 weeks, but it may not. When I encourage patients to exercise, I don’t frame it in terms of achieving a goal in a given time period. Consistency is very frequently just as important as goal setting; there is no need to torture yourself by setting expectations too high.
I don’t particularly enjoy running, but I don’t mind it either. It is inexpensive, does not require a lot of training, and your only competitor is yourself. You decide when you’re done. You can run and chat with friends or listen to music or podcasts. Or you can run with only your internal monologue for company. You can run at the gym and watch your favorite reality show (anyone with a guilty pleasure out there?), or run in your neighborhood and make friends with neighborhood pets.
Another added advantage, for those who might have some expendable income, is that you can run for a cause. The Arthritis Foundation, for example, is a great cause we can all get behind.
And then there’s the proverbial "runner’s high." If this is real (and there is not much evidence that it is), I didn’t get it. Or at least I did not experience what I expected it to feel like. However, I did feel an overwhelming sense of having accomplished something when I ran the half marathon. The last 2 miles of the race course were lined with spectators cheering us on, reaching out to slap hands with us, and holding up signs of people running for various causes. This was an extremely emotional moment for reasons I cannot explain scientifically, but I cried seeing those placards.
After that first half-marathon, I did not run as consistently as I should have, for various reasons (a family emergency; a subsequent soleus injury from, perhaps, stretching too enthusiastically after a run). But I signed up for another half marathon, coming up in 2 weeks, thereby forcing myself to get back to my regimen. And I discovered a wonderful thing when I started up again: My mood improved greatly. I did not even know that I was dysthymic until I started running again.
Haruki Murakami, famous writer of (really strange) Japanese fiction, is also an avid runner and has several marathons under his belt. Not only has he run the Boston Marathon, one of the hardest marathon courses, he has also run the real Marathon, from the site of the battle of Marathon to Athens (which thankfully survived, in contrast to Pheidippides’s unfortunate outcome). Murakami started running later in life as well, and documents this in his book "What I Talk About When I Talk About Running" (New York: Alfred A. Knopf, 2008).
Perhaps my favorite line in the book, and my ultimate reason for running: "Somerset Maugham once said that in each shave lies a philosophy. ... No matter how mundane some action might appear, keep at it long enough and it becomes a contemplative, even meditative act."
And, in fact, that previously mentioned Facebook page, the one called "My Name Is Usain Bolt And I Love Chicken Nuggets," its page description says "like if you love Usain Bolt’s calm relaxed personality."
Dr. Chan practices rheumatology in Pawtucket, R.I.
The Olympic Games have dominated the news in the past week. Part of the appeal is that the athletes seem so normal. They have parents. They go to school. They eat. In fact, there is now a Facebook page called "My Name Is Usain Bolt And I Love Chicken Nuggets."
When we listen to their stories, transfixed as we are by the minutiae of their lives, it is as if, in their "normalcy," we can almost see ourselves; as if by achieving the same degree of masochistic discipline, we might also turn ourselves into the better versions of ourselves that we know are hiding somewhere.
But I think another reason the athletes fascinate us is that there is a meditative, almost spiritual quality to them. It seems to permeate everything, from their training regimens to their very demeanor on that nerve-wracking world stage of Olympic sports.
I ran my first half marathon in March of this year, a few months before my 37th birthday.
There are no elaborate explanations for how I started running. I used to run in college, until I didn’t want to anymore. For a long time, I maintained a sedentary lifestyle. Medical school, marriage, residency, and fellowship provided convenient excuses.
But 3 years ago, a friend was diagnosed with cancer, and soon after that she started running. She started off with just 2 miles every day, and I thought to myself that if she, with her new life-altering reality, can run, shouldn’t I, too, be challenging myself to do something good for myself?
I couldn’t even run 2 miles. I started with half a mile and was done.
Three years later I finally ran a half-marathon. Three years. There are books out there that promise you can go from "couch to [insert whatever goal you want]" in 13 weeks or 26 weeks. It took me 3 years.
The reality is, if you keep at something consistently, you’ll get comfortable with it, and it may take 13 weeks, but it may not. When I encourage patients to exercise, I don’t frame it in terms of achieving a goal in a given time period. Consistency is very frequently just as important as goal setting; there is no need to torture yourself by setting expectations too high.
I don’t particularly enjoy running, but I don’t mind it either. It is inexpensive, does not require a lot of training, and your only competitor is yourself. You decide when you’re done. You can run and chat with friends or listen to music or podcasts. Or you can run with only your internal monologue for company. You can run at the gym and watch your favorite reality show (anyone with a guilty pleasure out there?), or run in your neighborhood and make friends with neighborhood pets.
Another added advantage, for those who might have some expendable income, is that you can run for a cause. The Arthritis Foundation, for example, is a great cause we can all get behind.
And then there’s the proverbial "runner’s high." If this is real (and there is not much evidence that it is), I didn’t get it. Or at least I did not experience what I expected it to feel like. However, I did feel an overwhelming sense of having accomplished something when I ran the half marathon. The last 2 miles of the race course were lined with spectators cheering us on, reaching out to slap hands with us, and holding up signs of people running for various causes. This was an extremely emotional moment for reasons I cannot explain scientifically, but I cried seeing those placards.
After that first half-marathon, I did not run as consistently as I should have, for various reasons (a family emergency; a subsequent soleus injury from, perhaps, stretching too enthusiastically after a run). But I signed up for another half marathon, coming up in 2 weeks, thereby forcing myself to get back to my regimen. And I discovered a wonderful thing when I started up again: My mood improved greatly. I did not even know that I was dysthymic until I started running again.
Haruki Murakami, famous writer of (really strange) Japanese fiction, is also an avid runner and has several marathons under his belt. Not only has he run the Boston Marathon, one of the hardest marathon courses, he has also run the real Marathon, from the site of the battle of Marathon to Athens (which thankfully survived, in contrast to Pheidippides’s unfortunate outcome). Murakami started running later in life as well, and documents this in his book "What I Talk About When I Talk About Running" (New York: Alfred A. Knopf, 2008).
Perhaps my favorite line in the book, and my ultimate reason for running: "Somerset Maugham once said that in each shave lies a philosophy. ... No matter how mundane some action might appear, keep at it long enough and it becomes a contemplative, even meditative act."
And, in fact, that previously mentioned Facebook page, the one called "My Name Is Usain Bolt And I Love Chicken Nuggets," its page description says "like if you love Usain Bolt’s calm relaxed personality."
Dr. Chan practices rheumatology in Pawtucket, R.I.
Study: Collaborative Approach to Med Rec Effective, Cost-Efficient
A paper published in the May/June issue of the Journal of Hospital Medicine shows that a collaborative approach to medication reconciliation ("med rec") appears to both prevent adverse drug events and pay for itself.
The paper, "Nurse-Pharmacist Collaboration on Medication Reconciliation Prevents Potential Harm," found that 225 of 500 surveyed patients had at least one unintended discrepancy in their house medication list (HML) on admission or discharge. And 162 of those patients had a discrepancy ranked on the upper end of the study's risk scale.
However, having nurses and pharmacists work together "allowed many discrepancies to be reconciled before causing harm," the study concluded.
"It absolutely supports the idea that we need to approach medicine as a team game," says hospitalist and lead author Lenny Feldman, MD, FACP, FAAP, SFHM, of John Hopkins School of Medicine in Baltimore. "We can't do this alone, and patients don't do better when we do this alone."
The study noted that it cost $113.64 to find one potentially harmful medication discrepancy. To offset those costs, an institution would have to prevent one discrepancy for every 290 patient encounters. The Johns Hopkins team averted 81 such events, but Dr. Feldman notes that without a control group, it’s difficult to say how many of those potential issues would have been caught at some other point in a patient's stay.
Still, he says, part of the value of a multidisciplinary approach to med rec is that it can help hospitalists improve patient care. By having nurses, physicians, and pharmacists working together, more potential adverse drug events could be prevented, Dr. Feldman says.
"That data-gathering is difficult and time-consuming, and it is not something hospitalists need do on their own," he adds.
A paper published in the May/June issue of the Journal of Hospital Medicine shows that a collaborative approach to medication reconciliation ("med rec") appears to both prevent adverse drug events and pay for itself.
The paper, "Nurse-Pharmacist Collaboration on Medication Reconciliation Prevents Potential Harm," found that 225 of 500 surveyed patients had at least one unintended discrepancy in their house medication list (HML) on admission or discharge. And 162 of those patients had a discrepancy ranked on the upper end of the study's risk scale.
However, having nurses and pharmacists work together "allowed many discrepancies to be reconciled before causing harm," the study concluded.
"It absolutely supports the idea that we need to approach medicine as a team game," says hospitalist and lead author Lenny Feldman, MD, FACP, FAAP, SFHM, of John Hopkins School of Medicine in Baltimore. "We can't do this alone, and patients don't do better when we do this alone."
The study noted that it cost $113.64 to find one potentially harmful medication discrepancy. To offset those costs, an institution would have to prevent one discrepancy for every 290 patient encounters. The Johns Hopkins team averted 81 such events, but Dr. Feldman notes that without a control group, it’s difficult to say how many of those potential issues would have been caught at some other point in a patient's stay.
Still, he says, part of the value of a multidisciplinary approach to med rec is that it can help hospitalists improve patient care. By having nurses, physicians, and pharmacists working together, more potential adverse drug events could be prevented, Dr. Feldman says.
"That data-gathering is difficult and time-consuming, and it is not something hospitalists need do on their own," he adds.
A paper published in the May/June issue of the Journal of Hospital Medicine shows that a collaborative approach to medication reconciliation ("med rec") appears to both prevent adverse drug events and pay for itself.
The paper, "Nurse-Pharmacist Collaboration on Medication Reconciliation Prevents Potential Harm," found that 225 of 500 surveyed patients had at least one unintended discrepancy in their house medication list (HML) on admission or discharge. And 162 of those patients had a discrepancy ranked on the upper end of the study's risk scale.
However, having nurses and pharmacists work together "allowed many discrepancies to be reconciled before causing harm," the study concluded.
"It absolutely supports the idea that we need to approach medicine as a team game," says hospitalist and lead author Lenny Feldman, MD, FACP, FAAP, SFHM, of John Hopkins School of Medicine in Baltimore. "We can't do this alone, and patients don't do better when we do this alone."
The study noted that it cost $113.64 to find one potentially harmful medication discrepancy. To offset those costs, an institution would have to prevent one discrepancy for every 290 patient encounters. The Johns Hopkins team averted 81 such events, but Dr. Feldman notes that without a control group, it’s difficult to say how many of those potential issues would have been caught at some other point in a patient's stay.
Still, he says, part of the value of a multidisciplinary approach to med rec is that it can help hospitalists improve patient care. By having nurses, physicians, and pharmacists working together, more potential adverse drug events could be prevented, Dr. Feldman says.
"That data-gathering is difficult and time-consuming, and it is not something hospitalists need do on their own," he adds.
ITL: Physician Reviews of HM-Relevant Research
Clinical question: Is azithromycin use associated with an increased risk of cardiovascular death?
Background: Accumulating evidence suggests that azithromycin might have pro-arrhythmic effects on the heart. Other macrolides, including erythromycin and clarithromycin, can increase the risk for serious ventricular arrhythmias and are associated with an increased risk of sudden cardiac death. The risk of cardiac death associated with azithromycin use is unclear.
Study design: Retrospective cohort study.
Setting: Statewide database of patients enrolled in the Tennessee Medicaid program.
Synopsis: This study matched patients who took a five-day course of azithromycin (347,795 prescriptions) with those who took no antibiotics (1,391,180 control periods). Patients taking azithromycin had an increased risk of cardiovascular death (hazard ratio [HR], 2.88; P<0.001) and death from any cause (HR, 1.85; P=0.002).
Additional control groups of patients taking other antibiotics were included in this study for comparison. Patients who took amoxicillin did not have an increased risk of death. Relative to amoxicillin, azithromycin was associated with a significantly increased risk of cardiovascular death, with an estimated 47 additional cardiovascular deaths per 1 million courses. The risk of cardiovascular death was greater with azithromycin than with ciprofloxacin but did not differ significantly from levofloxacin.
Importantly, patients with factors conferring a high risk of death were excluded from analysis. The increased risk of death did not appear to persist after azithromycin therapy ended. A major limitation of this study was confounding associated with antibiotic use, which the authors attempted to mitigate with the use of multiple control groups.
Bottom line: A five-day treatment course of azithromycin is associated with a small absolute increase in cardiovascular deaths and deaths from any cause.
Citation: Ray WA, Murray KT, Hall K, Arbogast PG, Stein CM. Azithromycin and the risk of cardiovascular death. N Engl J Med. 2012;366:1881-1890.
Clinical question: Is azithromycin use associated with an increased risk of cardiovascular death?
Background: Accumulating evidence suggests that azithromycin might have pro-arrhythmic effects on the heart. Other macrolides, including erythromycin and clarithromycin, can increase the risk for serious ventricular arrhythmias and are associated with an increased risk of sudden cardiac death. The risk of cardiac death associated with azithromycin use is unclear.
Study design: Retrospective cohort study.
Setting: Statewide database of patients enrolled in the Tennessee Medicaid program.
Synopsis: This study matched patients who took a five-day course of azithromycin (347,795 prescriptions) with those who took no antibiotics (1,391,180 control periods). Patients taking azithromycin had an increased risk of cardiovascular death (hazard ratio [HR], 2.88; P<0.001) and death from any cause (HR, 1.85; P=0.002).
Additional control groups of patients taking other antibiotics were included in this study for comparison. Patients who took amoxicillin did not have an increased risk of death. Relative to amoxicillin, azithromycin was associated with a significantly increased risk of cardiovascular death, with an estimated 47 additional cardiovascular deaths per 1 million courses. The risk of cardiovascular death was greater with azithromycin than with ciprofloxacin but did not differ significantly from levofloxacin.
Importantly, patients with factors conferring a high risk of death were excluded from analysis. The increased risk of death did not appear to persist after azithromycin therapy ended. A major limitation of this study was confounding associated with antibiotic use, which the authors attempted to mitigate with the use of multiple control groups.
Bottom line: A five-day treatment course of azithromycin is associated with a small absolute increase in cardiovascular deaths and deaths from any cause.
Citation: Ray WA, Murray KT, Hall K, Arbogast PG, Stein CM. Azithromycin and the risk of cardiovascular death. N Engl J Med. 2012;366:1881-1890.
Clinical question: Is azithromycin use associated with an increased risk of cardiovascular death?
Background: Accumulating evidence suggests that azithromycin might have pro-arrhythmic effects on the heart. Other macrolides, including erythromycin and clarithromycin, can increase the risk for serious ventricular arrhythmias and are associated with an increased risk of sudden cardiac death. The risk of cardiac death associated with azithromycin use is unclear.
Study design: Retrospective cohort study.
Setting: Statewide database of patients enrolled in the Tennessee Medicaid program.
Synopsis: This study matched patients who took a five-day course of azithromycin (347,795 prescriptions) with those who took no antibiotics (1,391,180 control periods). Patients taking azithromycin had an increased risk of cardiovascular death (hazard ratio [HR], 2.88; P<0.001) and death from any cause (HR, 1.85; P=0.002).
Additional control groups of patients taking other antibiotics were included in this study for comparison. Patients who took amoxicillin did not have an increased risk of death. Relative to amoxicillin, azithromycin was associated with a significantly increased risk of cardiovascular death, with an estimated 47 additional cardiovascular deaths per 1 million courses. The risk of cardiovascular death was greater with azithromycin than with ciprofloxacin but did not differ significantly from levofloxacin.
Importantly, patients with factors conferring a high risk of death were excluded from analysis. The increased risk of death did not appear to persist after azithromycin therapy ended. A major limitation of this study was confounding associated with antibiotic use, which the authors attempted to mitigate with the use of multiple control groups.
Bottom line: A five-day treatment course of azithromycin is associated with a small absolute increase in cardiovascular deaths and deaths from any cause.
Citation: Ray WA, Murray KT, Hall K, Arbogast PG, Stein CM. Azithromycin and the risk of cardiovascular death. N Engl J Med. 2012;366:1881-1890.
ONLINE EXCLUSIVE: Elbert Huang discusses primary care's role in providing access and value
Click here to listen to Dr. Huang
Click here to listen to Dr. Huang
Click here to listen to Dr. Huang
New Stent Approved by FDA for Iliac Artery Disease
Abbott announced on August 7 that the U.S. Food and Drug Administration (FDA) approved the Omnilink Elite® Vascular Balloon-Expandable Stent System for the treatment of iliac artery disease, The FDA approval was based on positive clinical data from the MOBILITY (Omnilink Elite or Absolute Pro® Stent Used in the Iliac Artery) study.
The Omnilink Elite stent is based on the Multi-Link stent design with a cobalt chromium alloy. According to Abbott, cobalt chromium is stronger and more radiopaque than stainless steel, making the stent easy to see under X-ray while maintaining thin, flexible struts. These features are designed to enable the easier navigation of the stent in complex anatomy and to facilitate accurate placement of the device.
"At nine months, patients experienced significant improvements in walking distance and speed, and were able to climb more stairs than they could before treatment,\" said Dr. Tony S. Das, director, Peripheral Vascular Interventions, Presbyterian Heart Institute in Dallas, Texas, and co-principal investigator of the MOBILITY study.
The MOBILITY study was a prospective, non-randomized, two-arm, multi-center study conducted at 48 centers in the United States to evaluate the effectiveness of two Abbott stents – Absolute Pro Vascular Self-Expanding Stent System and Omnilink Elite Vascular Balloon-Expandable Stent System – in patients who had iliac artery disease with intermittent claudication or critical limb ischemia, including complex lesions. The study did not exclude patients with highly calcified lesions or severe peripheral vascular disease. Of the 304 patients enrolled in the study, 151 were treated with Absolute Pro and 153 were treated with Omnilink Elite.
The study met its primary endpoint: a nine-month major adverse event rate of 6.1 percent for patients treated with Absolute Pro and 5.4 percent for patients treated with Omnilink Elite. Walking ability significantly improved for patients in both arms of the study, according to the press release from Abbot.
Abbott announced on August 7 that the U.S. Food and Drug Administration (FDA) approved the Omnilink Elite® Vascular Balloon-Expandable Stent System for the treatment of iliac artery disease, The FDA approval was based on positive clinical data from the MOBILITY (Omnilink Elite or Absolute Pro® Stent Used in the Iliac Artery) study.
The Omnilink Elite stent is based on the Multi-Link stent design with a cobalt chromium alloy. According to Abbott, cobalt chromium is stronger and more radiopaque than stainless steel, making the stent easy to see under X-ray while maintaining thin, flexible struts. These features are designed to enable the easier navigation of the stent in complex anatomy and to facilitate accurate placement of the device.
"At nine months, patients experienced significant improvements in walking distance and speed, and were able to climb more stairs than they could before treatment,\" said Dr. Tony S. Das, director, Peripheral Vascular Interventions, Presbyterian Heart Institute in Dallas, Texas, and co-principal investigator of the MOBILITY study.
The MOBILITY study was a prospective, non-randomized, two-arm, multi-center study conducted at 48 centers in the United States to evaluate the effectiveness of two Abbott stents – Absolute Pro Vascular Self-Expanding Stent System and Omnilink Elite Vascular Balloon-Expandable Stent System – in patients who had iliac artery disease with intermittent claudication or critical limb ischemia, including complex lesions. The study did not exclude patients with highly calcified lesions or severe peripheral vascular disease. Of the 304 patients enrolled in the study, 151 were treated with Absolute Pro and 153 were treated with Omnilink Elite.
The study met its primary endpoint: a nine-month major adverse event rate of 6.1 percent for patients treated with Absolute Pro and 5.4 percent for patients treated with Omnilink Elite. Walking ability significantly improved for patients in both arms of the study, according to the press release from Abbot.
Abbott announced on August 7 that the U.S. Food and Drug Administration (FDA) approved the Omnilink Elite® Vascular Balloon-Expandable Stent System for the treatment of iliac artery disease, The FDA approval was based on positive clinical data from the MOBILITY (Omnilink Elite or Absolute Pro® Stent Used in the Iliac Artery) study.
The Omnilink Elite stent is based on the Multi-Link stent design with a cobalt chromium alloy. According to Abbott, cobalt chromium is stronger and more radiopaque than stainless steel, making the stent easy to see under X-ray while maintaining thin, flexible struts. These features are designed to enable the easier navigation of the stent in complex anatomy and to facilitate accurate placement of the device.
"At nine months, patients experienced significant improvements in walking distance and speed, and were able to climb more stairs than they could before treatment,\" said Dr. Tony S. Das, director, Peripheral Vascular Interventions, Presbyterian Heart Institute in Dallas, Texas, and co-principal investigator of the MOBILITY study.
The MOBILITY study was a prospective, non-randomized, two-arm, multi-center study conducted at 48 centers in the United States to evaluate the effectiveness of two Abbott stents – Absolute Pro Vascular Self-Expanding Stent System and Omnilink Elite Vascular Balloon-Expandable Stent System – in patients who had iliac artery disease with intermittent claudication or critical limb ischemia, including complex lesions. The study did not exclude patients with highly calcified lesions or severe peripheral vascular disease. Of the 304 patients enrolled in the study, 151 were treated with Absolute Pro and 153 were treated with Omnilink Elite.
The study met its primary endpoint: a nine-month major adverse event rate of 6.1 percent for patients treated with Absolute Pro and 5.4 percent for patients treated with Omnilink Elite. Walking ability significantly improved for patients in both arms of the study, according to the press release from Abbot.
Survey of Hospitalist Supervision
In 2003, the Accreditation Council for Graduate Medical Education (ACGME) announced the first in a series of guidelines related to the regulation and oversight of residency training.1 The initial iteration specifically focused on the total and consecutive numbers of duty hours worked by trainees. These limitations began a new era of shift work in internal medicine residency training. With decreases in housestaff admitting capacity, clinical work has frequently been offloaded to non‐teaching or attending‐only services, increasing the demand for hospitalists to fill the void in physician‐staffed care in the hospital.2, 3 Since the implementation of the 2003 ACGME guidelines and a growing focus on patient safety, there has been increased study of, and call for, oversight of trainees in medicine; among these was the 2008 Institute of Medicine report,4 calling for 24/7 attending‐level supervision. The updated ACGME requirements,5 effective July 1, 2011, mandate enhanced on‐site supervision of trainee physicians. These new regulations not only define varying levels of supervision for trainees, including direct supervision with the physical presence of a supervisor and the degree of availability of said supervisor, they also describe ensuring the quality of supervision provided.5 While continuous attending‐level supervision is not yet mandated, many residency programs look to their academic hospitalists to fill the supervisory void, particularly at night. However, what specific roles hospitalists play in the nighttime supervision of trainees or the impact of this supervision remains unclear. To date, no study has examined a broad sample of hospitalist programs in teaching hospitals and the types of resident oversight they provide. We aimed to describe the current state of academic hospitalists in the clinical supervision of housestaff, specifically during the overnight period, and hospitalist perceptions of how the new ACGME requirements would impact traineehospitalist interactions.
METHODS
The Housestaff Oversight Subcommittee, a working group of the Society of General Internal Medicine (SGIM) Academic Hospitalist Task Force, surveyed a sample of academic hospitalist program leaders to assess the current status of trainee supervision performed by hospitalists. Programs were considered academic if they were located in the primary hospital of a residency that participates in the National Resident Matching Program for Internal Medicine. To obtain a broad geographic spectrum of academic hospitalist programs, all programs, both university and community‐based, in 4 states and 2 metropolitan regions were sampled: Washington, Oregon, Texas, Maryland, and the Philadelphia and Chicago metropolitan areas. Hospitalist program leaders were identified by members of the Taskforce using individual program websites and by querying departmental leadership at eligible teaching hospitals. Respondents were contacted by e‐mail for participation. None of the authors of the manuscript were participants in the survey.
The survey was developed by consensus of the working group after reviewing the salient literature and included additional questions queried to internal medicine program directors.6 The 19‐item SurveyMonkey instrument included questions about hospitalists' role in trainees' education and evaluation. A Likert‐type scale was used to assess perceptions regarding the impact of on‐site hospitalist supervision on trainee autonomy and hospitalist workload (1 = strongly disagree to 5 = strongly agree). Descriptive statistics were performed and, where appropriate, t test and Fisher's exact test were performed to identify associations between program characteristics and perceptions. Stata SE was used (STATA Corp, College Station, TX) for all statistical analysis.
RESULTS
The survey was sent to 47 individuals identified as likely hospitalist program leaders and completed by 41 individuals (87%). However, 7 respondents turned out not to be program leaders and were therefore excluded, resulting in a 72% (34/47) survey response rate.
The programs for which we did not obtain responses were similar to respondent programs, and did not include a larger proportion of community‐based programs or overrepresent a specific geographic region. Twenty‐five (73%) of the 34 hospitalist program leaders were male, with an average age of 44.3 years, and an average of 12 years post‐residency training (range, 530 years). They reported leading groups with an average of 18 full‐time equivalent (FTE) faculty (range, 350 persons).
Relationship of Hospitalist Programs With the Residency Program
The majority (32/34, 94%) of respondents describe their program as having traditional housestaffhospitalist interactions on an attending‐covered housestaff teaching service. Other hospitalists' clinical roles included: attending on uncovered (non‐housestaff services; 29/34, 85%); nighttime coverage (24/34, 70%); attending on consult services with housestaff (24/34, 70%). All respondents reported that hospitalist faculty are expected to participate in housestaff teaching or to fulfill other educational roles within the residency training program. These educational roles include participating in didactics or educational conferences, and serving as advisors. Additionally, the faculty of 30 (88%) programs have a formal evaluative role over the housestaff they supervise on teaching services (eg, members of formal housestaff evaluation committee). Finally, 28 (82%) programs have faculty who play administrative roles in the residency programs, such as involvement in program leadership or recruitment. Although 63% of the corresponding internal medicine residency programs have a formal housestaff supervision policy, only 43% of program leaders stated that their hospitalists receive formal faculty development on how to provide this supervision to resident trainees. Instead, the majority of hospitalist programs were described as having teaching expectations in the absence of a formal policy.
Twenty‐one programs (21/34, 61%) described having an attending hospitalist physician on‐site overnight to provide ongoing patient care or admit new patients. Of those with on‐site attending coverage, a minority of programs (8/21, 38%) reported having a formal defined supervisory role of housestaff trainees for hospitalists during the overnight period. In these 8 programs, this defined role included a requirement for housestaff to present newly admitted patients or contact hospitalists with questions regarding patient management. Twenty‐four percent (5/21) of the programs with nighttime coverage stated that the role of the nocturnal attending was only to cover the non‐teaching services, without housestaff interaction or supervision. The remainder of programs (8/21, 38%) describe only informal interactions between housestaff and hospitalist faculty, without clearly defined expectations for supervision.
Perceptions of New Regulations and Night Work
Hospitalist leaders viewed increased supervision of housestaff both positively and negatively. Leaders were asked their level of agreement with the potential impact of increased hospitalist nighttime supervision. Of respondents, 85% (27/32) agreed that formal overnight supervision by an attending hospitalist would improve patient safety, and 60% (20/33) agreed that formal overnight supervision would improve traineehospitalist relationships. In addition, 60% (20/33) of respondents felt that nighttime supervision of housestaff by faculty hospitalists would improve resident education. However, approximately 40% (13/33) expressed concern that increased on‐site hospitalist supervision would hamper resident decision‐making autonomy, and 75% (25/33) agreed that a formal housestaff supervisory role would increase hospitalist work load. The perception of increased workload was influenced by a hospitalist program's current supervisory role. Hospitalists programs providing formal nighttime supervision for housestaff, compared to those with informal or poorly defined faculty roles, were less likely to perceive these new regulations as resulting in an increase in hospitalist workload (3.72 vs 4.42; P = 0.02). In addition, hospitalist programs with a formal nighttime role were more likely to identify lack of specific parameters for attending‐level contact as a barrier to residents not contacting their supervisors during the overnight period (2.54 vs 3.54; P = 0.03). No differences in perception of the regulations were noted for those hospitalist programs which had existing faculty development on clinical supervision.
DISCUSSION
This study provides important information about how academic hospitalists currently contribute to the supervision of internal medicine residents. While academic hospitalist groups frequently have faculty providing clinical care on‐site at night, and often hospitalists provide overnight supervision of internal medicine trainees, formal supervision of trainees is not uniform, and few hospitalists groups have a mechanism to provide training or faculty development on how to effectively supervise resident trainees. Hospitalist leaders expressed concerns that creating additional formal overnight supervisory responsibilities may add to an already burdened overnight hospitalist. Formalizing this supervisory role, including explicit role definitions and faculty training for trainee supervision, is necessary.
Though our sample size is small, we captured a diverse geographic range of both university and community‐based academic hospitalist programs by surveying group leaders in several distinct regions. We are unable to comment on differences between responding and non‐responding hospitalist programs, but there does not appear to be a systematic difference between these groups.
Our findings are consistent with work describing a lack of structured conceptual frameworks in effectively supervising trainees,7, 8 and also, at times, nebulous expectations for hospitalist faculty. We found that the existence of a formal supervisory policy within the associated residency program, as well as defined roles for hospitalists, increases the likelihood of positive perceptions of the new ACGME supervisory recommendations. However, the existence of these requirements does not mean that all programs are capable of following them. While additional discussion is required to best delineate a formal overnight hospitalist role in trainee supervision, clearly defining expectations for both faculty and trainees, and their interactions, may alleviate the struggles that exist in programs with ill‐defined roles for hospitalist faculty supervision. While faculty duty hours standards do not exist, additional duties of nighttime coverage for hospitalists suggests that close attention should be paid to burn‐out.9 Faculty development on nighttime supervision and teaching may help maximize both learning and patient care efficiency, and provide a framework for this often unstructured educational time.
Acknowledgements
The research reported here was supported by the Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service (REA 05‐129, CDA 07‐022). The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs.
- ,,.New requirements for resident duty hours.JAMA.2002;288:1112–1114.
- ,,,,.Cost implications of reduced work hours and workloads for resident physicians.N Engl J Med.2009;360:2202–2215.
- Why have working hour restrictions apparently not improved patient safety?BMJ.2011;342:d1200.
- Ulmer C, Wolman DM, Johns MME, eds.Resident Duty Hours: Enhancing Sleep, Supervision, and Safety.Washington, DC:National Academies Press;2008.
- ,,;for the ACGME Duty Hour Task Force.The new recommendations on duty hours from the ACGME Task Force.N Engl J Med.2010;363.
- Association of Program Directors in Internal Medicine (APDIM) Survey 2009. Available at: http://www.im.org/toolbox/surveys/SurveyDataand Reports/APDIMSurveyData/Documents/2009_APDIM_summary_web. pdf. Accessed on July 30, 2012.
- ,,,,.Clinical oversight: conceptualizing the relationship between supervision and safety.J Gen Intern Med.2007;22(8):1080–1085.
- ,,, et al.Strategies for effective on‐call supervision for internal medicine residents: the SUPERB/SAFETY model.J Grad Med Educ.2010;2(1):46–52.
- ,,,,,.Career satisfaction and burn‐out in academic hospital medicine.Arch Intern Med.2011;171(8):782–785.
In 2003, the Accreditation Council for Graduate Medical Education (ACGME) announced the first in a series of guidelines related to the regulation and oversight of residency training.1 The initial iteration specifically focused on the total and consecutive numbers of duty hours worked by trainees. These limitations began a new era of shift work in internal medicine residency training. With decreases in housestaff admitting capacity, clinical work has frequently been offloaded to non‐teaching or attending‐only services, increasing the demand for hospitalists to fill the void in physician‐staffed care in the hospital.2, 3 Since the implementation of the 2003 ACGME guidelines and a growing focus on patient safety, there has been increased study of, and call for, oversight of trainees in medicine; among these was the 2008 Institute of Medicine report,4 calling for 24/7 attending‐level supervision. The updated ACGME requirements,5 effective July 1, 2011, mandate enhanced on‐site supervision of trainee physicians. These new regulations not only define varying levels of supervision for trainees, including direct supervision with the physical presence of a supervisor and the degree of availability of said supervisor, they also describe ensuring the quality of supervision provided.5 While continuous attending‐level supervision is not yet mandated, many residency programs look to their academic hospitalists to fill the supervisory void, particularly at night. However, what specific roles hospitalists play in the nighttime supervision of trainees or the impact of this supervision remains unclear. To date, no study has examined a broad sample of hospitalist programs in teaching hospitals and the types of resident oversight they provide. We aimed to describe the current state of academic hospitalists in the clinical supervision of housestaff, specifically during the overnight period, and hospitalist perceptions of how the new ACGME requirements would impact traineehospitalist interactions.
METHODS
The Housestaff Oversight Subcommittee, a working group of the Society of General Internal Medicine (SGIM) Academic Hospitalist Task Force, surveyed a sample of academic hospitalist program leaders to assess the current status of trainee supervision performed by hospitalists. Programs were considered academic if they were located in the primary hospital of a residency that participates in the National Resident Matching Program for Internal Medicine. To obtain a broad geographic spectrum of academic hospitalist programs, all programs, both university and community‐based, in 4 states and 2 metropolitan regions were sampled: Washington, Oregon, Texas, Maryland, and the Philadelphia and Chicago metropolitan areas. Hospitalist program leaders were identified by members of the Taskforce using individual program websites and by querying departmental leadership at eligible teaching hospitals. Respondents were contacted by e‐mail for participation. None of the authors of the manuscript were participants in the survey.
The survey was developed by consensus of the working group after reviewing the salient literature and included additional questions queried to internal medicine program directors.6 The 19‐item SurveyMonkey instrument included questions about hospitalists' role in trainees' education and evaluation. A Likert‐type scale was used to assess perceptions regarding the impact of on‐site hospitalist supervision on trainee autonomy and hospitalist workload (1 = strongly disagree to 5 = strongly agree). Descriptive statistics were performed and, where appropriate, t test and Fisher's exact test were performed to identify associations between program characteristics and perceptions. Stata SE was used (STATA Corp, College Station, TX) for all statistical analysis.
RESULTS
The survey was sent to 47 individuals identified as likely hospitalist program leaders and completed by 41 individuals (87%). However, 7 respondents turned out not to be program leaders and were therefore excluded, resulting in a 72% (34/47) survey response rate.
The programs for which we did not obtain responses were similar to respondent programs, and did not include a larger proportion of community‐based programs or overrepresent a specific geographic region. Twenty‐five (73%) of the 34 hospitalist program leaders were male, with an average age of 44.3 years, and an average of 12 years post‐residency training (range, 530 years). They reported leading groups with an average of 18 full‐time equivalent (FTE) faculty (range, 350 persons).
Relationship of Hospitalist Programs With the Residency Program
The majority (32/34, 94%) of respondents describe their program as having traditional housestaffhospitalist interactions on an attending‐covered housestaff teaching service. Other hospitalists' clinical roles included: attending on uncovered (non‐housestaff services; 29/34, 85%); nighttime coverage (24/34, 70%); attending on consult services with housestaff (24/34, 70%). All respondents reported that hospitalist faculty are expected to participate in housestaff teaching or to fulfill other educational roles within the residency training program. These educational roles include participating in didactics or educational conferences, and serving as advisors. Additionally, the faculty of 30 (88%) programs have a formal evaluative role over the housestaff they supervise on teaching services (eg, members of formal housestaff evaluation committee). Finally, 28 (82%) programs have faculty who play administrative roles in the residency programs, such as involvement in program leadership or recruitment. Although 63% of the corresponding internal medicine residency programs have a formal housestaff supervision policy, only 43% of program leaders stated that their hospitalists receive formal faculty development on how to provide this supervision to resident trainees. Instead, the majority of hospitalist programs were described as having teaching expectations in the absence of a formal policy.
Twenty‐one programs (21/34, 61%) described having an attending hospitalist physician on‐site overnight to provide ongoing patient care or admit new patients. Of those with on‐site attending coverage, a minority of programs (8/21, 38%) reported having a formal defined supervisory role of housestaff trainees for hospitalists during the overnight period. In these 8 programs, this defined role included a requirement for housestaff to present newly admitted patients or contact hospitalists with questions regarding patient management. Twenty‐four percent (5/21) of the programs with nighttime coverage stated that the role of the nocturnal attending was only to cover the non‐teaching services, without housestaff interaction or supervision. The remainder of programs (8/21, 38%) describe only informal interactions between housestaff and hospitalist faculty, without clearly defined expectations for supervision.
Perceptions of New Regulations and Night Work
Hospitalist leaders viewed increased supervision of housestaff both positively and negatively. Leaders were asked their level of agreement with the potential impact of increased hospitalist nighttime supervision. Of respondents, 85% (27/32) agreed that formal overnight supervision by an attending hospitalist would improve patient safety, and 60% (20/33) agreed that formal overnight supervision would improve traineehospitalist relationships. In addition, 60% (20/33) of respondents felt that nighttime supervision of housestaff by faculty hospitalists would improve resident education. However, approximately 40% (13/33) expressed concern that increased on‐site hospitalist supervision would hamper resident decision‐making autonomy, and 75% (25/33) agreed that a formal housestaff supervisory role would increase hospitalist work load. The perception of increased workload was influenced by a hospitalist program's current supervisory role. Hospitalists programs providing formal nighttime supervision for housestaff, compared to those with informal or poorly defined faculty roles, were less likely to perceive these new regulations as resulting in an increase in hospitalist workload (3.72 vs 4.42; P = 0.02). In addition, hospitalist programs with a formal nighttime role were more likely to identify lack of specific parameters for attending‐level contact as a barrier to residents not contacting their supervisors during the overnight period (2.54 vs 3.54; P = 0.03). No differences in perception of the regulations were noted for those hospitalist programs which had existing faculty development on clinical supervision.
DISCUSSION
This study provides important information about how academic hospitalists currently contribute to the supervision of internal medicine residents. While academic hospitalist groups frequently have faculty providing clinical care on‐site at night, and often hospitalists provide overnight supervision of internal medicine trainees, formal supervision of trainees is not uniform, and few hospitalists groups have a mechanism to provide training or faculty development on how to effectively supervise resident trainees. Hospitalist leaders expressed concerns that creating additional formal overnight supervisory responsibilities may add to an already burdened overnight hospitalist. Formalizing this supervisory role, including explicit role definitions and faculty training for trainee supervision, is necessary.
Though our sample size is small, we captured a diverse geographic range of both university and community‐based academic hospitalist programs by surveying group leaders in several distinct regions. We are unable to comment on differences between responding and non‐responding hospitalist programs, but there does not appear to be a systematic difference between these groups.
Our findings are consistent with work describing a lack of structured conceptual frameworks in effectively supervising trainees,7, 8 and also, at times, nebulous expectations for hospitalist faculty. We found that the existence of a formal supervisory policy within the associated residency program, as well as defined roles for hospitalists, increases the likelihood of positive perceptions of the new ACGME supervisory recommendations. However, the existence of these requirements does not mean that all programs are capable of following them. While additional discussion is required to best delineate a formal overnight hospitalist role in trainee supervision, clearly defining expectations for both faculty and trainees, and their interactions, may alleviate the struggles that exist in programs with ill‐defined roles for hospitalist faculty supervision. While faculty duty hours standards do not exist, additional duties of nighttime coverage for hospitalists suggests that close attention should be paid to burn‐out.9 Faculty development on nighttime supervision and teaching may help maximize both learning and patient care efficiency, and provide a framework for this often unstructured educational time.
Acknowledgements
The research reported here was supported by the Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service (REA 05‐129, CDA 07‐022). The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs.
In 2003, the Accreditation Council for Graduate Medical Education (ACGME) announced the first in a series of guidelines related to the regulation and oversight of residency training.1 The initial iteration specifically focused on the total and consecutive numbers of duty hours worked by trainees. These limitations began a new era of shift work in internal medicine residency training. With decreases in housestaff admitting capacity, clinical work has frequently been offloaded to non‐teaching or attending‐only services, increasing the demand for hospitalists to fill the void in physician‐staffed care in the hospital.2, 3 Since the implementation of the 2003 ACGME guidelines and a growing focus on patient safety, there has been increased study of, and call for, oversight of trainees in medicine; among these was the 2008 Institute of Medicine report,4 calling for 24/7 attending‐level supervision. The updated ACGME requirements,5 effective July 1, 2011, mandate enhanced on‐site supervision of trainee physicians. These new regulations not only define varying levels of supervision for trainees, including direct supervision with the physical presence of a supervisor and the degree of availability of said supervisor, they also describe ensuring the quality of supervision provided.5 While continuous attending‐level supervision is not yet mandated, many residency programs look to their academic hospitalists to fill the supervisory void, particularly at night. However, what specific roles hospitalists play in the nighttime supervision of trainees or the impact of this supervision remains unclear. To date, no study has examined a broad sample of hospitalist programs in teaching hospitals and the types of resident oversight they provide. We aimed to describe the current state of academic hospitalists in the clinical supervision of housestaff, specifically during the overnight period, and hospitalist perceptions of how the new ACGME requirements would impact traineehospitalist interactions.
METHODS
The Housestaff Oversight Subcommittee, a working group of the Society of General Internal Medicine (SGIM) Academic Hospitalist Task Force, surveyed a sample of academic hospitalist program leaders to assess the current status of trainee supervision performed by hospitalists. Programs were considered academic if they were located in the primary hospital of a residency that participates in the National Resident Matching Program for Internal Medicine. To obtain a broad geographic spectrum of academic hospitalist programs, all programs, both university and community‐based, in 4 states and 2 metropolitan regions were sampled: Washington, Oregon, Texas, Maryland, and the Philadelphia and Chicago metropolitan areas. Hospitalist program leaders were identified by members of the Taskforce using individual program websites and by querying departmental leadership at eligible teaching hospitals. Respondents were contacted by e‐mail for participation. None of the authors of the manuscript were participants in the survey.
The survey was developed by consensus of the working group after reviewing the salient literature and included additional questions queried to internal medicine program directors.6 The 19‐item SurveyMonkey instrument included questions about hospitalists' role in trainees' education and evaluation. A Likert‐type scale was used to assess perceptions regarding the impact of on‐site hospitalist supervision on trainee autonomy and hospitalist workload (1 = strongly disagree to 5 = strongly agree). Descriptive statistics were performed and, where appropriate, t test and Fisher's exact test were performed to identify associations between program characteristics and perceptions. Stata SE was used (STATA Corp, College Station, TX) for all statistical analysis.
RESULTS
The survey was sent to 47 individuals identified as likely hospitalist program leaders and completed by 41 individuals (87%). However, 7 respondents turned out not to be program leaders and were therefore excluded, resulting in a 72% (34/47) survey response rate.
The programs for which we did not obtain responses were similar to respondent programs, and did not include a larger proportion of community‐based programs or overrepresent a specific geographic region. Twenty‐five (73%) of the 34 hospitalist program leaders were male, with an average age of 44.3 years, and an average of 12 years post‐residency training (range, 530 years). They reported leading groups with an average of 18 full‐time equivalent (FTE) faculty (range, 350 persons).
Relationship of Hospitalist Programs With the Residency Program
The majority (32/34, 94%) of respondents describe their program as having traditional housestaffhospitalist interactions on an attending‐covered housestaff teaching service. Other hospitalists' clinical roles included: attending on uncovered (non‐housestaff services; 29/34, 85%); nighttime coverage (24/34, 70%); attending on consult services with housestaff (24/34, 70%). All respondents reported that hospitalist faculty are expected to participate in housestaff teaching or to fulfill other educational roles within the residency training program. These educational roles include participating in didactics or educational conferences, and serving as advisors. Additionally, the faculty of 30 (88%) programs have a formal evaluative role over the housestaff they supervise on teaching services (eg, members of formal housestaff evaluation committee). Finally, 28 (82%) programs have faculty who play administrative roles in the residency programs, such as involvement in program leadership or recruitment. Although 63% of the corresponding internal medicine residency programs have a formal housestaff supervision policy, only 43% of program leaders stated that their hospitalists receive formal faculty development on how to provide this supervision to resident trainees. Instead, the majority of hospitalist programs were described as having teaching expectations in the absence of a formal policy.
Twenty‐one programs (21/34, 61%) described having an attending hospitalist physician on‐site overnight to provide ongoing patient care or admit new patients. Of those with on‐site attending coverage, a minority of programs (8/21, 38%) reported having a formal defined supervisory role of housestaff trainees for hospitalists during the overnight period. In these 8 programs, this defined role included a requirement for housestaff to present newly admitted patients or contact hospitalists with questions regarding patient management. Twenty‐four percent (5/21) of the programs with nighttime coverage stated that the role of the nocturnal attending was only to cover the non‐teaching services, without housestaff interaction or supervision. The remainder of programs (8/21, 38%) describe only informal interactions between housestaff and hospitalist faculty, without clearly defined expectations for supervision.
Perceptions of New Regulations and Night Work
Hospitalist leaders viewed increased supervision of housestaff both positively and negatively. Leaders were asked their level of agreement with the potential impact of increased hospitalist nighttime supervision. Of respondents, 85% (27/32) agreed that formal overnight supervision by an attending hospitalist would improve patient safety, and 60% (20/33) agreed that formal overnight supervision would improve traineehospitalist relationships. In addition, 60% (20/33) of respondents felt that nighttime supervision of housestaff by faculty hospitalists would improve resident education. However, approximately 40% (13/33) expressed concern that increased on‐site hospitalist supervision would hamper resident decision‐making autonomy, and 75% (25/33) agreed that a formal housestaff supervisory role would increase hospitalist work load. The perception of increased workload was influenced by a hospitalist program's current supervisory role. Hospitalists programs providing formal nighttime supervision for housestaff, compared to those with informal or poorly defined faculty roles, were less likely to perceive these new regulations as resulting in an increase in hospitalist workload (3.72 vs 4.42; P = 0.02). In addition, hospitalist programs with a formal nighttime role were more likely to identify lack of specific parameters for attending‐level contact as a barrier to residents not contacting their supervisors during the overnight period (2.54 vs 3.54; P = 0.03). No differences in perception of the regulations were noted for those hospitalist programs which had existing faculty development on clinical supervision.
DISCUSSION
This study provides important information about how academic hospitalists currently contribute to the supervision of internal medicine residents. While academic hospitalist groups frequently have faculty providing clinical care on‐site at night, and often hospitalists provide overnight supervision of internal medicine trainees, formal supervision of trainees is not uniform, and few hospitalists groups have a mechanism to provide training or faculty development on how to effectively supervise resident trainees. Hospitalist leaders expressed concerns that creating additional formal overnight supervisory responsibilities may add to an already burdened overnight hospitalist. Formalizing this supervisory role, including explicit role definitions and faculty training for trainee supervision, is necessary.
Though our sample size is small, we captured a diverse geographic range of both university and community‐based academic hospitalist programs by surveying group leaders in several distinct regions. We are unable to comment on differences between responding and non‐responding hospitalist programs, but there does not appear to be a systematic difference between these groups.
Our findings are consistent with work describing a lack of structured conceptual frameworks in effectively supervising trainees,7, 8 and also, at times, nebulous expectations for hospitalist faculty. We found that the existence of a formal supervisory policy within the associated residency program, as well as defined roles for hospitalists, increases the likelihood of positive perceptions of the new ACGME supervisory recommendations. However, the existence of these requirements does not mean that all programs are capable of following them. While additional discussion is required to best delineate a formal overnight hospitalist role in trainee supervision, clearly defining expectations for both faculty and trainees, and their interactions, may alleviate the struggles that exist in programs with ill‐defined roles for hospitalist faculty supervision. While faculty duty hours standards do not exist, additional duties of nighttime coverage for hospitalists suggests that close attention should be paid to burn‐out.9 Faculty development on nighttime supervision and teaching may help maximize both learning and patient care efficiency, and provide a framework for this often unstructured educational time.
Acknowledgements
The research reported here was supported by the Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service (REA 05‐129, CDA 07‐022). The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs.
- ,,.New requirements for resident duty hours.JAMA.2002;288:1112–1114.
- ,,,,.Cost implications of reduced work hours and workloads for resident physicians.N Engl J Med.2009;360:2202–2215.
- Why have working hour restrictions apparently not improved patient safety?BMJ.2011;342:d1200.
- Ulmer C, Wolman DM, Johns MME, eds.Resident Duty Hours: Enhancing Sleep, Supervision, and Safety.Washington, DC:National Academies Press;2008.
- ,,;for the ACGME Duty Hour Task Force.The new recommendations on duty hours from the ACGME Task Force.N Engl J Med.2010;363.
- Association of Program Directors in Internal Medicine (APDIM) Survey 2009. Available at: http://www.im.org/toolbox/surveys/SurveyDataand Reports/APDIMSurveyData/Documents/2009_APDIM_summary_web. pdf. Accessed on July 30, 2012.
- ,,,,.Clinical oversight: conceptualizing the relationship between supervision and safety.J Gen Intern Med.2007;22(8):1080–1085.
- ,,, et al.Strategies for effective on‐call supervision for internal medicine residents: the SUPERB/SAFETY model.J Grad Med Educ.2010;2(1):46–52.
- ,,,,,.Career satisfaction and burn‐out in academic hospital medicine.Arch Intern Med.2011;171(8):782–785.
- ,,.New requirements for resident duty hours.JAMA.2002;288:1112–1114.
- ,,,,.Cost implications of reduced work hours and workloads for resident physicians.N Engl J Med.2009;360:2202–2215.
- Why have working hour restrictions apparently not improved patient safety?BMJ.2011;342:d1200.
- Ulmer C, Wolman DM, Johns MME, eds.Resident Duty Hours: Enhancing Sleep, Supervision, and Safety.Washington, DC:National Academies Press;2008.
- ,,;for the ACGME Duty Hour Task Force.The new recommendations on duty hours from the ACGME Task Force.N Engl J Med.2010;363.
- Association of Program Directors in Internal Medicine (APDIM) Survey 2009. Available at: http://www.im.org/toolbox/surveys/SurveyDataand Reports/APDIMSurveyData/Documents/2009_APDIM_summary_web. pdf. Accessed on July 30, 2012.
- ,,,,.Clinical oversight: conceptualizing the relationship between supervision and safety.J Gen Intern Med.2007;22(8):1080–1085.
- ,,, et al.Strategies for effective on‐call supervision for internal medicine residents: the SUPERB/SAFETY model.J Grad Med Educ.2010;2(1):46–52.
- ,,,,,.Career satisfaction and burn‐out in academic hospital medicine.Arch Intern Med.2011;171(8):782–785.
DM Screening in Preoperative Patients
In the era of Accountable Care Organizations (ACO) and need to improve transitions of care, diagnosis and management of diseases across the continuum from ambulatory to inpatient care remains of paramount importance.1, 2 Opportunities for screening have typically been viewed as the responsibility of the ambulatory primary care provider (PCP), yet in an ACO model, patients who present more frequently to a hospital as opposed to a clinic are still the responsibility of the ACO, and therefore opportunistic screening for certain diseases by hospitalists and other inpatient providers is a possibility that may merit further investigation. This opportunistic rationale has already been used to advocate for pneumococcal and influenza vaccination prior to discharge in hospitalized patients, but has not been well investigated in chronic disease screening.35
Diabetes mellitus is a disease that has reached epidemic proportions. National Health and Nutrition Examination Survey (NHANES) data documented the ambulatory prevalence of diabetes mellitus (DM) in adults 20 years of age in the United States to be 12.9%.6 However, the most significant health crisis may be that 40% of these adult patients with diabetes are unaware of their diagnosis.6 In other words, 5.1% of all adults 20 years of age or older in this country have undiagnosed diabetes.6, 7 As diabetes is a disease where clinical manifestations are often preceded by a prolonged asymptomatic period, screening with either of the preferred diagnostic tests, fasting blood glucose (FBG) or hemoglobin A1C (Hgb A1C), is required to make a new diagnosis.79
Diagnosis of hyperglycemia is important so that appropriate glycemic control can be achieved, and preventive care and risk factor modification can be initiated, including screening and treatment of hypertension, hyperlipidemia, retinopathy, nephropathy, and other comorbid conditions.7, 9 As glycemic control cannot be achieved in patients who remain undiagnosed, screening may play a role in preventing long‐term complications of diabetes.7 Awareness of the prediabetic states impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) is also important because lifestyle modification may delay or prevent the progression to diabetes and its associated complications, such as cardiovascular disease, retinopathy, and nephropathy.10, 11 In the inpatient setting, undiagnosed elevation of Hgb A1C in the diabetes or prediabetes range has been shown to increase cost and length of stay in some spine surgery patients compared to patients with known diabetes.12
Virtually every inpatient has at least 1 glucose value drawn during hospitalization as part of a chemistry panel, many of which are fasting, or NPO (nil per os, meaning nothing by mouth), by virtue of clinical condition or anticipated procedure. Provided the preoperative state in an elective surgery patient is not taxing enough to induce stress hyperglycemia,1315 this typically fasting time may provide an easy and excellent diabetes screening opportunity to not only risk stratify for the inpatient stay, but to diagnose diabetes that will initiate lifelong care and prevention, provided information learned during hospitalization is conveyed to the PCP at discharge. While prior studies1618 have measured preoperative glucose as a means to risk stratify and predict undiagnosed diabetes, none of these analyses have obtained a second glycemic test (either FBG or Hgb A1C) as required by the American Diabetes Association (ADA) to make a diagnosis of diabetes. Lack of a confirmatory glycemic test in the existing literature also leaves uncertainty in reproducibility and validity of the preoperative glucose as a risk‐stratification tool, as it is not certain that it is truly unstressed. Finally, studies to date have not evaluated or controlled for factors that could contribute to undiagnosed diabetes, such as health insurance and access to primary care.
To investigate the prevalence of undiagnosed diabetes and prediabetes in a hospitalized population, and to pilot the concept of screening in the inpatient preoperative setting, we performed a prospective analysis of adult orthopedic patients presenting for elective hip, knee, and spine surgery at a large Midwestern academic medical center from December 1, 2007 to November 30, 2008. Our primary objective was to determine the feasibility of preoperative testing in finding the prevalence of undiagnosed diabetes and prediabetes in an insured, inpatient population with access to prior preventive care. In addition, we investigated systems issues related to the general concept of inpatient screening, including assessment of whether providers recognized hyperglycemic patients in the hospital once tested, or conveyed test information to PCPs at discharge.
METHODS
The University of Wisconsin Institutional Review Board approved this prospective observational cohort study. All patients aged 18 years scheduled for elective total knee or hip arthroplasty, or elective lumbar decompression and/or fusion, presenting for preoperative appointment from December 1, 2007 to November 30, 2008, were invited to participate. Pregnant patients, and patients unable to give consent were excluded. Patients with hemolytic processes or on new regimens of oral or intravenous steroids within 7 days of surgery were also excluded. Patients on chronic oral, inhaled, intranasal, or topical steroids were included.
Preoperative Clinic Visit (Visit 1)
Patients who consented to participate had basic measures recorded, including height, weight, age, ethnicity, sex, date of surgery, and type of surgery. Patients then completed a questionnaire regarding previous history of diabetes and prediabetes (IFG or IGT), and personal history of other ADA‐designated risk factors9 to prompt diabetes screening, including gestational diabetes, hypertension, hyperlipidemia, vascular disease, and physical inactivity, as measured by the University of California, Los Angeles (UCLA) score.19 Patient self‐reported diagnosis of DM or prediabetes was compared to anesthesia preoperative assessment for confirmation. Finally, insurance status and most recent visit to a PCP were recorded (Figure 1).
Preoperative Day of Surgery (Visit 2)
On the morning of surgery, the study coordinator met with patients in the preoperative unit to confirm fasting status (nothing to eat for 8 or more hours), no new intravenous or oral steroids, and that intravenous fluids were dextrose free. Fasting blood glucose was collected as whole blood and centrifuged in the central laboratory, after which plasma glucose was measured using the hexokinase method (Siemens Dimension Vista 3000T, Siemens Healthcare Diagnostics, Inc, Newark, DE). Hemoglobin A1C (Tosoh G7 HPLC, Tosoh Bioscience, Tokyo, Japan) was also obtained. Patients with preoperative FBG 100 mg/dL were notified and scheduled to return for another FBG measurement at their 68 week orthopedic ambulatory clinic follow‐up visit.
Postoperative Clinic Visit (Visit 3)
At 68 week follow‐up, patients with preoperative FBG 100 mg/dL had an additional FBG performed. Those who also had a follow‐up FBG 100 mg/dL at Visit 3 were determined to have DM or IFG, identified as New Diabetes/Prediabetes. Patients with glucose 100 mg/dL prior to surgery that was <100 mg/dL in follow‐up, as well as patients with blood glucose <100 mg/dL at preoperative Visit 2 (and therefore did not require a follow‐up glucose measurement) were designated Normoglycemia. Patients with preexisting DM or IFG were labeled Known Diabetes/Prediabetes.
Statistical Methods
Categorical variables were summarized using percents. Continuous variables were summarized using means and standard deviations. Chi‐square tests were conducted for categorical variables and Student t tests were used for continuous variables to compare differences between patients with newly diagnosed IFG or DM (New Diabetes/Prediabetes) and patients without diabetes (Normoglycemia), and to compare differences between patients with New Diabetes/Prediabetes and patients with known DM or IFG (Known Diabetes/Prediabetes). Sample size was determined by number of adult elective spine and total joint orthopedic patients presenting to clinic during the prespecified 1‐year period of time. All tests were considered significant if P value < 0.05.
RESULTS
A total of 302 patients met inclusion criteria and enrolled in the study. Of these patients, 27 (8.9%) were not included in final analysis due to incomplete preoperative labs (7 patients, 2.3%), lack of follow‐up (11 patients, 3.6%), withdrawal of consent (5 patients, 1.7%), or not having surgery (4 patients, 1.3%). Of the remaining 275, 54% were female. The mean patient age was 60.3 years, and 88% (243/275) of patients had a body mass index (BMI) 25 kg/m2, indicating overweight or obese. All of the patients (100%) had healthcare insurance; 97% reported having a primary care provider, with 96.6% of patients stating that they had seen a primary provider within the year prior to surgery (Table 1).
| No. (%) | |
|---|---|
| |
| Demographics | |
| Female | 148 (54) |
| Age, mean (SD) | 60.3 (11.3) |
| BMI, mean (SD) | 31.16 (5.93) |
| Surgery type | |
| Hip | 99 (36) |
| Knee | 147 (53) |
| Spine | 29 (11) |
| Socioeconomic status/healthcare access | |
| Have healthcare insurance* | 274 (100) |
| Have regular PCP | 267 (97) |
| Last PCP visit | |
| Never | 2 (0.7) |
| >3 y | 1 (0.4) |
| 13 y | 6 (2.2) |
| 6 mo1 y | 18 (6.6) |
| <6 mo | 244 (90) |
| Medical history | |
| Diabetes history | |
| No history of dysglycemia | 225 (82) |
| Prior IFG | 17 (6) |
| Prior DM | 33 (12) |
| American Diabetes Association risk factors | |
| BMI 25 | 243 (88) |
| Physical inactivity (UCLA score 3) | 40 (18) |
| High risk ethnicity | 3 (1) |
| Gestational DM | 2 (1) |
| First degree family history | 91 (33) |
| Cardiac disease | 35 (13) |
| Hypertension | 127 (46) |
| Hypercholesterolemia | 114 (42) |
| Prior IFG/IGT | 19 (7) |
| Age 45 y | 249 (91) |
Of the 275 patients, 50 (18%) had Known Diabetes/Prediabetes, 67 (24%) were given a new diagnosis of DM or IFG (New Diabetes/Prediabetes), and the remaining 158 (58%) were classified as Normoglycemia (Table 2). The sum of Known Diabetes/Prediabetes (50) and New Diabetes/Prediabetes (67) equaled the true inpatient prevalence of DM and IFG (117/275, 43%). Of the Known Diabetes/Prediabetes patients, 33/50 (66%) had DM and 17/50 (34%) had IFG. Of those with New Diabetes/Prediabetes, 8/67 (12%) had DM range values, with the remaining 59/67 (88%) in IFG range.
| Diagnosis | No. (%) | Hemoglobin A1C (Mean, SD) | Preoperative Glucose (Mean, SD) | Follow‐up Glucose (Mean, SD) | Days Between (Mean, SD) |
|---|---|---|---|---|---|
| |||||
| Known diabetes/prediabetes | 50 (18) | 6.53 (0.99) | 129.02 (33.85) | ||
| New diabetes/prediabetes* | 67 (24) | 5.80 (0.39) | 110.79 (8.69) | 107.91 (7.47) | 51.67 (13.73) |
| Normoglycemia | 158 (58) | 5.45 (0.36) | 96.04 (9.10) | ||
| Preop glucose 100, follow‐up <100 | 38 (14) | 5.54 (0.35) | 107.26 (8.69) | 93.68 (5.16) | 49.21 (12.11) |
| Preop glucose <100 | 120 (44) | 5.42 (0.36) | 92.49 (5.73) | ||
Patients with New Diabetes/Prediabetes had a higher preoperative Visit 2 glucose (mean [standard deviation], 110.79 [8.69] and 96.04 [9.10], P < 0.0001) and Hgb A1C (5.80 [0.39] and 5.45 [0.36], P < 0.0001) compared to Normoglycemia. A subset of the Normoglycemia patients (38/158, 24%), had an elevated preoperative Visit 2 glucose, but a normal (<100 mg/dL) second confirmatory Visit 3 glucose, and therefore did not have New Diabetes/Prediabetes. New Diabetes/Prediabetes was also significantly different from this particular Normoglycemia subset in both FBG (110.79 [8.69] and 107.26 [8.69], P = 0.048) and Hgb A1C (5.80 [0.39] and 5.54 [0.35], P = 0.001) (Table 2). Preoperative Visit 2 FBG of 100 mg/dL predicted Visit 3 FBG 100 mg/dL 64% of the time. Having both preoperative Visit 2 FBG 100 mg/dL and Hgb A1C 5.7 (the ADA‐determined level for prediabetes),3 predicted Visit 3 FBG 100 mg/dL 72% of the time.
Patients with New Diabetes/Prediabetes were slightly older than Normoglycemia patients (62.37 [9.70] vs 58.08 [12.01], P = 0.0054), meeting the ADA diabetes screening age of 45 significantly more often than Normoglycemia patients (100% [67] vs 84% [132], P < 0.001). The groups otherwise did not differ in the incidence of other ADA‐defined risk factors9 (Table 3). Patients with New Diabetes/Prediabetes were less likely to report having seen their PCP within 6 months prior to surgery compared to their Normoglycemia counterparts (82% [54] vs 91% [141], P = 0.046), although this difference disappeared by 1 year (94% vs 96%). Finally, there was no increase in the number of point‐of‐care (POC) glucose tests ordered, or mention of hyperglycemia on discharge summaries in the New Diabetes/Prediabetes group (Table 3).
| Demographics | Normoglycemia (N = 158) | New Diabetes/ Prediabetes (N = 67) | Known Diabetes/ Prediabetes (N = 50) |
|---|---|---|---|
| |||
| Female | 90 (57) | 33 (49) | 25 (50) |
| Age, mean (SD) | 58.08 (12.01)* | 62.37 (9.70) | 64.60 (9.02) |
| BMI, mean (SD) | 30.13 (5.76) | 31.65 (5.76) | 33.74 (5.92) |
| Surgery type | |||
| Hip | 62 (39) | 21 (31) | 16 (32) |
| Knee | 76 (48) | 41 (61) | 30 (60) |
| Spine | 20 (13) | 5 (7) | 4 (8) |
| Socioeconomic status/healthcare access | |||
| Have healthcare insurance | 158 (100) | 66 (100) | 50 (100) |
| Have regular PCP | 153 (97) | 65 (98) | 49 (98) |
| Last PCP Visit | |||
| Never | 2 (1) | 0 (0) | 0 (0) |
| >3 y | 1 (1) | 0 (0) | 0 (0) |
| 13 y | 1 (1) | 4 (6) | 1 (2) |
| 6 mo1 y | 10 (6) | 8 (12) | 0 (0) |
| In last 6 mo | 141 (91)* | 54 (82) | 49 (98) |
| Medical history | |||
| American Diabetes Association risk factors | |||
| BMI 25 | 133 (84) | 62 (93) | 48 (96) |
| Physical inactivity (UCLA score 3) | 16 (13) | 10 (18) | 14 (35) |
| High‐risk ethnicity | 2 (1) | 1 (1) | 1 (2) |
| Gestational diabetes | 1 (1) | 1 (1) | 0 (0) |
| First degree family history | 45 (28) | 19 (28) | 27 (55) |
| Cardiac disease | 14 (9) | 7 (10) | 14 (28) |
| Hypertension | 62 (39) | 31 (46) | 34 (68) |
| Hyperlipidemia | 54 (34) | 28 (42) | 32 (64) |
| Age 45 | 132 (84)* | 67 (100) | 50 (100) |
| Follow‐up | |||
| Point‐of‐care glucose ordered | 1 (1) | 0 (0) | 31 (62) |
| Dysglycemia mentioned on discharge summary | 0 (0) | 0 (0) | 28 (56) |
DISCUSSION AND CONCLUSION
The main finding of this study is that in an insured, elective orthopedic population with access to primary care, 24% of patients had unrecognized IFG or DM on the basis of 2 fasting blood glucose values. Remarkably, this statistic likely represents a best‐case scenario, as the percent of undiagnosed patients is likely higher in uninsured patients,20 those without primary care visits, and those hospitalized for emergent or urgent reasons who, by definition, did not have an ambulatory preoperative evaluation, and who may also have greater severity of illness at baseline. With over 1,053,000 total knee and hip operations done in the United States each year, opportunistic screening of this population alone could identify 252,720 patients with prediabetes or diabetes who might otherwise remain undiagnosed.21 Even more significant, with at least 70 million patients undergoing ambulatory or inpatient procedures each year, if even a quarter of these procedures were elective adult lower acuity surgeries allowing for easy preoperative testing, over 4 million cases of DM and IFG could be found each year using this process.21, 22 These numbers demonstrate the need to investigate new and novel screening opportunities, such as in hospitalized patients. These statistics also demonstrate the need for all inpatient providers to be aware of undiagnosed diabetes and prediabetes in their patients, and confirm recommendations of the Endocrine Society to obtain a blood glucose for all patients on admission, and measure Hgb A1C in all hyperglycemic or diabetic inpatients if not performed in the preceding 23 months.23
Diagnosis of DM has historically been difficult to make in the hospital setting. The primary diagnostic test, FBG, may be elevated in the setting of counter‐regulatory hormone surge and inflammatory stress response, and its use has been discouraged in the acute care setting.14, 15, 24 While not affected by stress, Hgb A1C, endorsed in 2010 by the ADA for diagnosis of DM,8 may still be unreliable in the setting of blood loss, transfusion, hemolysis, and other factors common during surgery and hospitalization.9, 25 However, we found that 64% of patients with elevated (100 mg/dL) blood glucose at the time of pre‐anesthesia evaluation did have persistently elevated blood glucose at 68 week follow‐up. This suggests that the preoperative glucose is unstressed, and may be a rapid, reasonably reliable indicator of patients needing ambulatory follow‐up to confirm DM or prediabetes. This may also provide perioperative risk stratification if glycemic history is unknown. As many fasting, preoperative patients have routine chemistry panels ordered already, the simple glucose included in such panels may prove to be the most useful diabetes test for anesthesiologists, surgeons, hospitalists, and other inpatient providers. Our data suggests that Hgb A1C 5.7, the ADA‐suggested IFG/prediabetes cut point,9 can also be used in combination with FBG 100 to predict persistent hyperglycemia.
This study also revealed several significant systems issues that merit attention if opportunistic inpatient screening or preventive care is to be successful in a shared responsibility ACO system. Most importantly, none of our patients with elevated preoperative blood glucose had these results conveyed to their primary care provider at discharge, revealing both a need for improved transitions in care and development of formal ACO structure if inpatient or preoperative screening is to be successful. Second, our study also showed that providers did not change plan of care for patients without known DM or IFG and preoperative elevated glucose. None of these patients had point‐of‐care glucose checks ordered while in the hospital, demonstrating that previously undiagnosed dysglycemic patients receive different in‐hospital care compared to patients with known DM. While it is possible that providers consciously decided not to monitor patients with mild hyperglycemia, consistent with inpatient guidelines recommending glycemic targets of <180 mg/dL for general care patients,20 it is more likely that there was lack of recognition of hyperglycemia in these patients without prior DM or IFG, as has been demonstrated previously.26 Inpatient providers should be informed of, and encouraged to, follow Endocrine Society recommendations to monitor POC glucose in patients with hyperglycemia (>140 mg/dL) for at least 2448 hours.23
It is important to state that controversy exists regarding which patients should be screened for diabetes. The United States Preventive Services Task Force (USPSTF) recommends screening adult patients only if they have hypertension.27 The ADA recommends screening all patients 45 years of age and older, and younger, overweight patients with at least 1 additional risk factor.9 We have previously shown that using USPSTF guidelines misses 33.1% of cases of DM compared to the ADA standard.28 As such, our institution and the Wisconsin State Diabetes Screening Guidelines mirror the ADA guidelines.29, 30 In the present study, 91% were aged 45 and older, and 88% were overweight, so nearly everyone in our study met our state and institution guidelines for diabetes screening. However, this might not be the case at all institutions if USPSTF guidelines were instead followed.
A limitation of the present study was that a selection bias of subjects could have occurred by both patients and providers, as less healthy patients with higher surgical risk may not have been candidates for surgery as often as lower‐risk patients. While entirely appropriate to maximize safety for elective surgery patients, this may in part explain the lower Hgb A1C (6.53 [0.14]) in our Known Diabetes/Prediabetes group, and lower range of blood glucose values in our New Diabetes/Prediabetes patients, with the majority being in the prediabetes range. However, this limitation also allows for the conclusion that any patient, regardless of perceived good health and primary care visits, may still have undiagnosed DM or IFG.
In summary, this study strongly supports the practice of screening obligate fasting patients to reduce the prevalence of undiagnosed diabetes. Despite the fact that our patients had insurance and recent primary care visits, nearly one‐quarter of individuals had previously unrecognized dysglycemia. This study also revealed systems issues, including the need for improved care transitions and development of a structure for shared responsibility in an ACO system, that need to be addressed if screening initiatives are to be effective in the hospital setting. Future studies will be needed to determine if other opportunistic screening tests have case‐finding potential, and further, how transitions processes can be improved to ensure that knowledge gained in the hospital is conveyed to the ambulatory setting.
Acknowledgements
The authors thank the orthopedic midlevel providers and nurses who assisted with patient recruitment, and the Clinical Trials staff, particularly Lori Wollet, for their assistance throughout the study. All authors disclose no relevant or financial conflicts of interest.
- Centers for Medicare and Medicaid Services. Accountable Care Organizations: What providers need to know. Available at: https://www.cms.gov/MLNProducts/downloads/ACO_Providers_Factsheet_ICN907406.pdf. Accessed February 20,2012.
- ,,.Care transitions from inpatient to outpatient settings: ongoing challenges and emerging best practices.Hosp Pract (Minneapolis).2001;39:128–139.
- ,,,,,.Quality improvement in critical access hospitals: addressing immunizations prior to discharge.J Rural Health.2003;19:433–438.
- IDSA Guidelines. Immunization Programs for Infants, Children, Adolescents, and Adults: Clinical Practice Guidelines by the Infectious Diseases Society of America. Available at: http://www.idsociety.org/uploadedFiles/IDSA/Guidelines‐Patient_Care/PDF_Library/Immunization.pdf. Accessed February 23,2012.
- Agency for Healthcare Research and Quality: Pneumococcal Vaccination Prior to Hospital Discharge. Available at: http://www/ahrq.gov/clinic/ptsafety/chap36.htm. Accessed February 23,2012.
- ,,, et al.Full accounting of diabetes and pre‐diabetes in the U.S. population in 1988–1994 and 2005–2006.Diabetes Care.2009;32:287–294.
- ,,.Back to Wilson and Jungner: 10 good reasons to screen for type 2 diabetes mellitus.Mayo Clin Proc.2009;84:38–42.
- American Diabetes Association.Standards of medical care in diabetes—2010.Diabetes Care.2010;33:S11–S61.
- American Diabetes Association.Standards of medical care in diabetes—2012.Diabetes Care.2012;35:s11–s63.
- National Diabetes Information Clearinghouse NIDDK National Diabetes Statistics 2011. Available at: http://diabetes.niddk.nih.gov/dm/pubs/statistics/index.htm#people. Accessed February 23,2012.
- ,,, et al.Impaired fasting glucose and impaired glucose tolerance: implications for care.Diabetes Care.2007;30:753–759.
- ,,,,,.Prevalence of previously unknown elevation of glycosylated hemoglobin in spine surgery patients and impact on length of stay and total cost.J Hosp Med.2010;5:E10–E14.
- ,,.Stress hyperglycemia.Lancet.2009;373:1798–1807.
- ,,, et al.Management of diabetes and hyperglycemia in hospitals.Diabetes Care.2004;27:553–591.
- ,.An overview of preoperative glucose evaluation, management, and perioperative impact.J Diabetes Sci Technol.2009;3:1261–1269.
- ,,,.A cost‐effective screening method for preoperative hyperglycemia.Anesth Analg.2009;109:1622–1624.
- ,,,,,.Fasting blood glucose levels in patients presenting for elective surgery.Nutrition.2011;27:298–301.
- ,,, et al.The prevalence of undiagnosed diabetes in non‐cardiac surgery patients, an observational study.Can J Anesth.2010;57:1058–1064.
- ,,,,.The value of patient activity level in the outcome of total hip arthroplasty.J Arthroplasty.2006;21:547–552.
- ,,,,,.Analysis of guidelines for screening diabetes mellitus in an ambulatory population.Mayo Clin Proc.2010;85:27–35.
- Centers for Disease Control and Prevention National Center for Health Statistics Inpatient Surgery Statistics, 2007. Available at: http://www.cdc.gov/nchs/fastats/insurg.htm. Accessed February 23,2012.
- Centers for Disease Control and Prevention National Health Statistics Reports Ambulatory Surgery Statistics, 2006. Available at: http://www.cdc.gov/nchs/data/nhsr/nhsr011.pdf. Accessed February 23,2012.
- ,,, et al.Management of hyperglycemia in hospitalized patients in non‐critical care setting: an Endocrine Society Clinical Practice Guideline.J Clin Endocrinol Metab.2012;97:16–38.
- ,.Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation.Diabet Med.1998;15:539–553.
- National Glycohemoglobin Standardization Program (NGSP). Available at: http://www.ngsp.org. Accessed February 23,2012.
- ,,, et al.American Association of Clinical Endocrinologists and American Diabetes Association consensus statement on inpatient glycemic control.Diabetes Care.2009;32:1119–1131.
- ,,,,,.Hyperglycemia: an independent marker of in‐hospital mortality in patients with undiagnosed diabetes.J Clin Endocrinol Metab.2002;87:978–982.
- United States Preventive Services Task Force Diabetes Screening Guideline. Available at: http://www.uspreventiveservicestaskforce.org/uspstf/uspsdiab.htm. Accessed February 22,2012.
- University of Wisconsin and UW Health Preventive Care Guidelines. Available at: https://ghcscw.com/media/2011_ph_Preventive_Care_Guidelines_2010.pdf. Accessed February 22,2012.
- Wisconsin Diabetes Mellitus Essential Care Guidelines 2011. Available at: http://www.dhs.wisconsin.gov/health/diabetes/PDFs/GL13.pdf. Accessed February 22,2012.
In the era of Accountable Care Organizations (ACO) and need to improve transitions of care, diagnosis and management of diseases across the continuum from ambulatory to inpatient care remains of paramount importance.1, 2 Opportunities for screening have typically been viewed as the responsibility of the ambulatory primary care provider (PCP), yet in an ACO model, patients who present more frequently to a hospital as opposed to a clinic are still the responsibility of the ACO, and therefore opportunistic screening for certain diseases by hospitalists and other inpatient providers is a possibility that may merit further investigation. This opportunistic rationale has already been used to advocate for pneumococcal and influenza vaccination prior to discharge in hospitalized patients, but has not been well investigated in chronic disease screening.35
Diabetes mellitus is a disease that has reached epidemic proportions. National Health and Nutrition Examination Survey (NHANES) data documented the ambulatory prevalence of diabetes mellitus (DM) in adults 20 years of age in the United States to be 12.9%.6 However, the most significant health crisis may be that 40% of these adult patients with diabetes are unaware of their diagnosis.6 In other words, 5.1% of all adults 20 years of age or older in this country have undiagnosed diabetes.6, 7 As diabetes is a disease where clinical manifestations are often preceded by a prolonged asymptomatic period, screening with either of the preferred diagnostic tests, fasting blood glucose (FBG) or hemoglobin A1C (Hgb A1C), is required to make a new diagnosis.79
Diagnosis of hyperglycemia is important so that appropriate glycemic control can be achieved, and preventive care and risk factor modification can be initiated, including screening and treatment of hypertension, hyperlipidemia, retinopathy, nephropathy, and other comorbid conditions.7, 9 As glycemic control cannot be achieved in patients who remain undiagnosed, screening may play a role in preventing long‐term complications of diabetes.7 Awareness of the prediabetic states impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) is also important because lifestyle modification may delay or prevent the progression to diabetes and its associated complications, such as cardiovascular disease, retinopathy, and nephropathy.10, 11 In the inpatient setting, undiagnosed elevation of Hgb A1C in the diabetes or prediabetes range has been shown to increase cost and length of stay in some spine surgery patients compared to patients with known diabetes.12
Virtually every inpatient has at least 1 glucose value drawn during hospitalization as part of a chemistry panel, many of which are fasting, or NPO (nil per os, meaning nothing by mouth), by virtue of clinical condition or anticipated procedure. Provided the preoperative state in an elective surgery patient is not taxing enough to induce stress hyperglycemia,1315 this typically fasting time may provide an easy and excellent diabetes screening opportunity to not only risk stratify for the inpatient stay, but to diagnose diabetes that will initiate lifelong care and prevention, provided information learned during hospitalization is conveyed to the PCP at discharge. While prior studies1618 have measured preoperative glucose as a means to risk stratify and predict undiagnosed diabetes, none of these analyses have obtained a second glycemic test (either FBG or Hgb A1C) as required by the American Diabetes Association (ADA) to make a diagnosis of diabetes. Lack of a confirmatory glycemic test in the existing literature also leaves uncertainty in reproducibility and validity of the preoperative glucose as a risk‐stratification tool, as it is not certain that it is truly unstressed. Finally, studies to date have not evaluated or controlled for factors that could contribute to undiagnosed diabetes, such as health insurance and access to primary care.
To investigate the prevalence of undiagnosed diabetes and prediabetes in a hospitalized population, and to pilot the concept of screening in the inpatient preoperative setting, we performed a prospective analysis of adult orthopedic patients presenting for elective hip, knee, and spine surgery at a large Midwestern academic medical center from December 1, 2007 to November 30, 2008. Our primary objective was to determine the feasibility of preoperative testing in finding the prevalence of undiagnosed diabetes and prediabetes in an insured, inpatient population with access to prior preventive care. In addition, we investigated systems issues related to the general concept of inpatient screening, including assessment of whether providers recognized hyperglycemic patients in the hospital once tested, or conveyed test information to PCPs at discharge.
METHODS
The University of Wisconsin Institutional Review Board approved this prospective observational cohort study. All patients aged 18 years scheduled for elective total knee or hip arthroplasty, or elective lumbar decompression and/or fusion, presenting for preoperative appointment from December 1, 2007 to November 30, 2008, were invited to participate. Pregnant patients, and patients unable to give consent were excluded. Patients with hemolytic processes or on new regimens of oral or intravenous steroids within 7 days of surgery were also excluded. Patients on chronic oral, inhaled, intranasal, or topical steroids were included.
Preoperative Clinic Visit (Visit 1)
Patients who consented to participate had basic measures recorded, including height, weight, age, ethnicity, sex, date of surgery, and type of surgery. Patients then completed a questionnaire regarding previous history of diabetes and prediabetes (IFG or IGT), and personal history of other ADA‐designated risk factors9 to prompt diabetes screening, including gestational diabetes, hypertension, hyperlipidemia, vascular disease, and physical inactivity, as measured by the University of California, Los Angeles (UCLA) score.19 Patient self‐reported diagnosis of DM or prediabetes was compared to anesthesia preoperative assessment for confirmation. Finally, insurance status and most recent visit to a PCP were recorded (Figure 1).
Preoperative Day of Surgery (Visit 2)
On the morning of surgery, the study coordinator met with patients in the preoperative unit to confirm fasting status (nothing to eat for 8 or more hours), no new intravenous or oral steroids, and that intravenous fluids were dextrose free. Fasting blood glucose was collected as whole blood and centrifuged in the central laboratory, after which plasma glucose was measured using the hexokinase method (Siemens Dimension Vista 3000T, Siemens Healthcare Diagnostics, Inc, Newark, DE). Hemoglobin A1C (Tosoh G7 HPLC, Tosoh Bioscience, Tokyo, Japan) was also obtained. Patients with preoperative FBG 100 mg/dL were notified and scheduled to return for another FBG measurement at their 68 week orthopedic ambulatory clinic follow‐up visit.
Postoperative Clinic Visit (Visit 3)
At 68 week follow‐up, patients with preoperative FBG 100 mg/dL had an additional FBG performed. Those who also had a follow‐up FBG 100 mg/dL at Visit 3 were determined to have DM or IFG, identified as New Diabetes/Prediabetes. Patients with glucose 100 mg/dL prior to surgery that was <100 mg/dL in follow‐up, as well as patients with blood glucose <100 mg/dL at preoperative Visit 2 (and therefore did not require a follow‐up glucose measurement) were designated Normoglycemia. Patients with preexisting DM or IFG were labeled Known Diabetes/Prediabetes.
Statistical Methods
Categorical variables were summarized using percents. Continuous variables were summarized using means and standard deviations. Chi‐square tests were conducted for categorical variables and Student t tests were used for continuous variables to compare differences between patients with newly diagnosed IFG or DM (New Diabetes/Prediabetes) and patients without diabetes (Normoglycemia), and to compare differences between patients with New Diabetes/Prediabetes and patients with known DM or IFG (Known Diabetes/Prediabetes). Sample size was determined by number of adult elective spine and total joint orthopedic patients presenting to clinic during the prespecified 1‐year period of time. All tests were considered significant if P value < 0.05.
RESULTS
A total of 302 patients met inclusion criteria and enrolled in the study. Of these patients, 27 (8.9%) were not included in final analysis due to incomplete preoperative labs (7 patients, 2.3%), lack of follow‐up (11 patients, 3.6%), withdrawal of consent (5 patients, 1.7%), or not having surgery (4 patients, 1.3%). Of the remaining 275, 54% were female. The mean patient age was 60.3 years, and 88% (243/275) of patients had a body mass index (BMI) 25 kg/m2, indicating overweight or obese. All of the patients (100%) had healthcare insurance; 97% reported having a primary care provider, with 96.6% of patients stating that they had seen a primary provider within the year prior to surgery (Table 1).
| No. (%) | |
|---|---|
| |
| Demographics | |
| Female | 148 (54) |
| Age, mean (SD) | 60.3 (11.3) |
| BMI, mean (SD) | 31.16 (5.93) |
| Surgery type | |
| Hip | 99 (36) |
| Knee | 147 (53) |
| Spine | 29 (11) |
| Socioeconomic status/healthcare access | |
| Have healthcare insurance* | 274 (100) |
| Have regular PCP | 267 (97) |
| Last PCP visit | |
| Never | 2 (0.7) |
| >3 y | 1 (0.4) |
| 13 y | 6 (2.2) |
| 6 mo1 y | 18 (6.6) |
| <6 mo | 244 (90) |
| Medical history | |
| Diabetes history | |
| No history of dysglycemia | 225 (82) |
| Prior IFG | 17 (6) |
| Prior DM | 33 (12) |
| American Diabetes Association risk factors | |
| BMI 25 | 243 (88) |
| Physical inactivity (UCLA score 3) | 40 (18) |
| High risk ethnicity | 3 (1) |
| Gestational DM | 2 (1) |
| First degree family history | 91 (33) |
| Cardiac disease | 35 (13) |
| Hypertension | 127 (46) |
| Hypercholesterolemia | 114 (42) |
| Prior IFG/IGT | 19 (7) |
| Age 45 y | 249 (91) |
Of the 275 patients, 50 (18%) had Known Diabetes/Prediabetes, 67 (24%) were given a new diagnosis of DM or IFG (New Diabetes/Prediabetes), and the remaining 158 (58%) were classified as Normoglycemia (Table 2). The sum of Known Diabetes/Prediabetes (50) and New Diabetes/Prediabetes (67) equaled the true inpatient prevalence of DM and IFG (117/275, 43%). Of the Known Diabetes/Prediabetes patients, 33/50 (66%) had DM and 17/50 (34%) had IFG. Of those with New Diabetes/Prediabetes, 8/67 (12%) had DM range values, with the remaining 59/67 (88%) in IFG range.
| Diagnosis | No. (%) | Hemoglobin A1C (Mean, SD) | Preoperative Glucose (Mean, SD) | Follow‐up Glucose (Mean, SD) | Days Between (Mean, SD) |
|---|---|---|---|---|---|
| |||||
| Known diabetes/prediabetes | 50 (18) | 6.53 (0.99) | 129.02 (33.85) | ||
| New diabetes/prediabetes* | 67 (24) | 5.80 (0.39) | 110.79 (8.69) | 107.91 (7.47) | 51.67 (13.73) |
| Normoglycemia | 158 (58) | 5.45 (0.36) | 96.04 (9.10) | ||
| Preop glucose 100, follow‐up <100 | 38 (14) | 5.54 (0.35) | 107.26 (8.69) | 93.68 (5.16) | 49.21 (12.11) |
| Preop glucose <100 | 120 (44) | 5.42 (0.36) | 92.49 (5.73) | ||
Patients with New Diabetes/Prediabetes had a higher preoperative Visit 2 glucose (mean [standard deviation], 110.79 [8.69] and 96.04 [9.10], P < 0.0001) and Hgb A1C (5.80 [0.39] and 5.45 [0.36], P < 0.0001) compared to Normoglycemia. A subset of the Normoglycemia patients (38/158, 24%), had an elevated preoperative Visit 2 glucose, but a normal (<100 mg/dL) second confirmatory Visit 3 glucose, and therefore did not have New Diabetes/Prediabetes. New Diabetes/Prediabetes was also significantly different from this particular Normoglycemia subset in both FBG (110.79 [8.69] and 107.26 [8.69], P = 0.048) and Hgb A1C (5.80 [0.39] and 5.54 [0.35], P = 0.001) (Table 2). Preoperative Visit 2 FBG of 100 mg/dL predicted Visit 3 FBG 100 mg/dL 64% of the time. Having both preoperative Visit 2 FBG 100 mg/dL and Hgb A1C 5.7 (the ADA‐determined level for prediabetes),3 predicted Visit 3 FBG 100 mg/dL 72% of the time.
Patients with New Diabetes/Prediabetes were slightly older than Normoglycemia patients (62.37 [9.70] vs 58.08 [12.01], P = 0.0054), meeting the ADA diabetes screening age of 45 significantly more often than Normoglycemia patients (100% [67] vs 84% [132], P < 0.001). The groups otherwise did not differ in the incidence of other ADA‐defined risk factors9 (Table 3). Patients with New Diabetes/Prediabetes were less likely to report having seen their PCP within 6 months prior to surgery compared to their Normoglycemia counterparts (82% [54] vs 91% [141], P = 0.046), although this difference disappeared by 1 year (94% vs 96%). Finally, there was no increase in the number of point‐of‐care (POC) glucose tests ordered, or mention of hyperglycemia on discharge summaries in the New Diabetes/Prediabetes group (Table 3).
| Demographics | Normoglycemia (N = 158) | New Diabetes/ Prediabetes (N = 67) | Known Diabetes/ Prediabetes (N = 50) |
|---|---|---|---|
| |||
| Female | 90 (57) | 33 (49) | 25 (50) |
| Age, mean (SD) | 58.08 (12.01)* | 62.37 (9.70) | 64.60 (9.02) |
| BMI, mean (SD) | 30.13 (5.76) | 31.65 (5.76) | 33.74 (5.92) |
| Surgery type | |||
| Hip | 62 (39) | 21 (31) | 16 (32) |
| Knee | 76 (48) | 41 (61) | 30 (60) |
| Spine | 20 (13) | 5 (7) | 4 (8) |
| Socioeconomic status/healthcare access | |||
| Have healthcare insurance | 158 (100) | 66 (100) | 50 (100) |
| Have regular PCP | 153 (97) | 65 (98) | 49 (98) |
| Last PCP Visit | |||
| Never | 2 (1) | 0 (0) | 0 (0) |
| >3 y | 1 (1) | 0 (0) | 0 (0) |
| 13 y | 1 (1) | 4 (6) | 1 (2) |
| 6 mo1 y | 10 (6) | 8 (12) | 0 (0) |
| In last 6 mo | 141 (91)* | 54 (82) | 49 (98) |
| Medical history | |||
| American Diabetes Association risk factors | |||
| BMI 25 | 133 (84) | 62 (93) | 48 (96) |
| Physical inactivity (UCLA score 3) | 16 (13) | 10 (18) | 14 (35) |
| High‐risk ethnicity | 2 (1) | 1 (1) | 1 (2) |
| Gestational diabetes | 1 (1) | 1 (1) | 0 (0) |
| First degree family history | 45 (28) | 19 (28) | 27 (55) |
| Cardiac disease | 14 (9) | 7 (10) | 14 (28) |
| Hypertension | 62 (39) | 31 (46) | 34 (68) |
| Hyperlipidemia | 54 (34) | 28 (42) | 32 (64) |
| Age 45 | 132 (84)* | 67 (100) | 50 (100) |
| Follow‐up | |||
| Point‐of‐care glucose ordered | 1 (1) | 0 (0) | 31 (62) |
| Dysglycemia mentioned on discharge summary | 0 (0) | 0 (0) | 28 (56) |
DISCUSSION AND CONCLUSION
The main finding of this study is that in an insured, elective orthopedic population with access to primary care, 24% of patients had unrecognized IFG or DM on the basis of 2 fasting blood glucose values. Remarkably, this statistic likely represents a best‐case scenario, as the percent of undiagnosed patients is likely higher in uninsured patients,20 those without primary care visits, and those hospitalized for emergent or urgent reasons who, by definition, did not have an ambulatory preoperative evaluation, and who may also have greater severity of illness at baseline. With over 1,053,000 total knee and hip operations done in the United States each year, opportunistic screening of this population alone could identify 252,720 patients with prediabetes or diabetes who might otherwise remain undiagnosed.21 Even more significant, with at least 70 million patients undergoing ambulatory or inpatient procedures each year, if even a quarter of these procedures were elective adult lower acuity surgeries allowing for easy preoperative testing, over 4 million cases of DM and IFG could be found each year using this process.21, 22 These numbers demonstrate the need to investigate new and novel screening opportunities, such as in hospitalized patients. These statistics also demonstrate the need for all inpatient providers to be aware of undiagnosed diabetes and prediabetes in their patients, and confirm recommendations of the Endocrine Society to obtain a blood glucose for all patients on admission, and measure Hgb A1C in all hyperglycemic or diabetic inpatients if not performed in the preceding 23 months.23
Diagnosis of DM has historically been difficult to make in the hospital setting. The primary diagnostic test, FBG, may be elevated in the setting of counter‐regulatory hormone surge and inflammatory stress response, and its use has been discouraged in the acute care setting.14, 15, 24 While not affected by stress, Hgb A1C, endorsed in 2010 by the ADA for diagnosis of DM,8 may still be unreliable in the setting of blood loss, transfusion, hemolysis, and other factors common during surgery and hospitalization.9, 25 However, we found that 64% of patients with elevated (100 mg/dL) blood glucose at the time of pre‐anesthesia evaluation did have persistently elevated blood glucose at 68 week follow‐up. This suggests that the preoperative glucose is unstressed, and may be a rapid, reasonably reliable indicator of patients needing ambulatory follow‐up to confirm DM or prediabetes. This may also provide perioperative risk stratification if glycemic history is unknown. As many fasting, preoperative patients have routine chemistry panels ordered already, the simple glucose included in such panels may prove to be the most useful diabetes test for anesthesiologists, surgeons, hospitalists, and other inpatient providers. Our data suggests that Hgb A1C 5.7, the ADA‐suggested IFG/prediabetes cut point,9 can also be used in combination with FBG 100 to predict persistent hyperglycemia.
This study also revealed several significant systems issues that merit attention if opportunistic inpatient screening or preventive care is to be successful in a shared responsibility ACO system. Most importantly, none of our patients with elevated preoperative blood glucose had these results conveyed to their primary care provider at discharge, revealing both a need for improved transitions in care and development of formal ACO structure if inpatient or preoperative screening is to be successful. Second, our study also showed that providers did not change plan of care for patients without known DM or IFG and preoperative elevated glucose. None of these patients had point‐of‐care glucose checks ordered while in the hospital, demonstrating that previously undiagnosed dysglycemic patients receive different in‐hospital care compared to patients with known DM. While it is possible that providers consciously decided not to monitor patients with mild hyperglycemia, consistent with inpatient guidelines recommending glycemic targets of <180 mg/dL for general care patients,20 it is more likely that there was lack of recognition of hyperglycemia in these patients without prior DM or IFG, as has been demonstrated previously.26 Inpatient providers should be informed of, and encouraged to, follow Endocrine Society recommendations to monitor POC glucose in patients with hyperglycemia (>140 mg/dL) for at least 2448 hours.23
It is important to state that controversy exists regarding which patients should be screened for diabetes. The United States Preventive Services Task Force (USPSTF) recommends screening adult patients only if they have hypertension.27 The ADA recommends screening all patients 45 years of age and older, and younger, overweight patients with at least 1 additional risk factor.9 We have previously shown that using USPSTF guidelines misses 33.1% of cases of DM compared to the ADA standard.28 As such, our institution and the Wisconsin State Diabetes Screening Guidelines mirror the ADA guidelines.29, 30 In the present study, 91% were aged 45 and older, and 88% were overweight, so nearly everyone in our study met our state and institution guidelines for diabetes screening. However, this might not be the case at all institutions if USPSTF guidelines were instead followed.
A limitation of the present study was that a selection bias of subjects could have occurred by both patients and providers, as less healthy patients with higher surgical risk may not have been candidates for surgery as often as lower‐risk patients. While entirely appropriate to maximize safety for elective surgery patients, this may in part explain the lower Hgb A1C (6.53 [0.14]) in our Known Diabetes/Prediabetes group, and lower range of blood glucose values in our New Diabetes/Prediabetes patients, with the majority being in the prediabetes range. However, this limitation also allows for the conclusion that any patient, regardless of perceived good health and primary care visits, may still have undiagnosed DM or IFG.
In summary, this study strongly supports the practice of screening obligate fasting patients to reduce the prevalence of undiagnosed diabetes. Despite the fact that our patients had insurance and recent primary care visits, nearly one‐quarter of individuals had previously unrecognized dysglycemia. This study also revealed systems issues, including the need for improved care transitions and development of a structure for shared responsibility in an ACO system, that need to be addressed if screening initiatives are to be effective in the hospital setting. Future studies will be needed to determine if other opportunistic screening tests have case‐finding potential, and further, how transitions processes can be improved to ensure that knowledge gained in the hospital is conveyed to the ambulatory setting.
Acknowledgements
The authors thank the orthopedic midlevel providers and nurses who assisted with patient recruitment, and the Clinical Trials staff, particularly Lori Wollet, for their assistance throughout the study. All authors disclose no relevant or financial conflicts of interest.
In the era of Accountable Care Organizations (ACO) and need to improve transitions of care, diagnosis and management of diseases across the continuum from ambulatory to inpatient care remains of paramount importance.1, 2 Opportunities for screening have typically been viewed as the responsibility of the ambulatory primary care provider (PCP), yet in an ACO model, patients who present more frequently to a hospital as opposed to a clinic are still the responsibility of the ACO, and therefore opportunistic screening for certain diseases by hospitalists and other inpatient providers is a possibility that may merit further investigation. This opportunistic rationale has already been used to advocate for pneumococcal and influenza vaccination prior to discharge in hospitalized patients, but has not been well investigated in chronic disease screening.35
Diabetes mellitus is a disease that has reached epidemic proportions. National Health and Nutrition Examination Survey (NHANES) data documented the ambulatory prevalence of diabetes mellitus (DM) in adults 20 years of age in the United States to be 12.9%.6 However, the most significant health crisis may be that 40% of these adult patients with diabetes are unaware of their diagnosis.6 In other words, 5.1% of all adults 20 years of age or older in this country have undiagnosed diabetes.6, 7 As diabetes is a disease where clinical manifestations are often preceded by a prolonged asymptomatic period, screening with either of the preferred diagnostic tests, fasting blood glucose (FBG) or hemoglobin A1C (Hgb A1C), is required to make a new diagnosis.79
Diagnosis of hyperglycemia is important so that appropriate glycemic control can be achieved, and preventive care and risk factor modification can be initiated, including screening and treatment of hypertension, hyperlipidemia, retinopathy, nephropathy, and other comorbid conditions.7, 9 As glycemic control cannot be achieved in patients who remain undiagnosed, screening may play a role in preventing long‐term complications of diabetes.7 Awareness of the prediabetic states impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) is also important because lifestyle modification may delay or prevent the progression to diabetes and its associated complications, such as cardiovascular disease, retinopathy, and nephropathy.10, 11 In the inpatient setting, undiagnosed elevation of Hgb A1C in the diabetes or prediabetes range has been shown to increase cost and length of stay in some spine surgery patients compared to patients with known diabetes.12
Virtually every inpatient has at least 1 glucose value drawn during hospitalization as part of a chemistry panel, many of which are fasting, or NPO (nil per os, meaning nothing by mouth), by virtue of clinical condition or anticipated procedure. Provided the preoperative state in an elective surgery patient is not taxing enough to induce stress hyperglycemia,1315 this typically fasting time may provide an easy and excellent diabetes screening opportunity to not only risk stratify for the inpatient stay, but to diagnose diabetes that will initiate lifelong care and prevention, provided information learned during hospitalization is conveyed to the PCP at discharge. While prior studies1618 have measured preoperative glucose as a means to risk stratify and predict undiagnosed diabetes, none of these analyses have obtained a second glycemic test (either FBG or Hgb A1C) as required by the American Diabetes Association (ADA) to make a diagnosis of diabetes. Lack of a confirmatory glycemic test in the existing literature also leaves uncertainty in reproducibility and validity of the preoperative glucose as a risk‐stratification tool, as it is not certain that it is truly unstressed. Finally, studies to date have not evaluated or controlled for factors that could contribute to undiagnosed diabetes, such as health insurance and access to primary care.
To investigate the prevalence of undiagnosed diabetes and prediabetes in a hospitalized population, and to pilot the concept of screening in the inpatient preoperative setting, we performed a prospective analysis of adult orthopedic patients presenting for elective hip, knee, and spine surgery at a large Midwestern academic medical center from December 1, 2007 to November 30, 2008. Our primary objective was to determine the feasibility of preoperative testing in finding the prevalence of undiagnosed diabetes and prediabetes in an insured, inpatient population with access to prior preventive care. In addition, we investigated systems issues related to the general concept of inpatient screening, including assessment of whether providers recognized hyperglycemic patients in the hospital once tested, or conveyed test information to PCPs at discharge.
METHODS
The University of Wisconsin Institutional Review Board approved this prospective observational cohort study. All patients aged 18 years scheduled for elective total knee or hip arthroplasty, or elective lumbar decompression and/or fusion, presenting for preoperative appointment from December 1, 2007 to November 30, 2008, were invited to participate. Pregnant patients, and patients unable to give consent were excluded. Patients with hemolytic processes or on new regimens of oral or intravenous steroids within 7 days of surgery were also excluded. Patients on chronic oral, inhaled, intranasal, or topical steroids were included.
Preoperative Clinic Visit (Visit 1)
Patients who consented to participate had basic measures recorded, including height, weight, age, ethnicity, sex, date of surgery, and type of surgery. Patients then completed a questionnaire regarding previous history of diabetes and prediabetes (IFG or IGT), and personal history of other ADA‐designated risk factors9 to prompt diabetes screening, including gestational diabetes, hypertension, hyperlipidemia, vascular disease, and physical inactivity, as measured by the University of California, Los Angeles (UCLA) score.19 Patient self‐reported diagnosis of DM or prediabetes was compared to anesthesia preoperative assessment for confirmation. Finally, insurance status and most recent visit to a PCP were recorded (Figure 1).
Preoperative Day of Surgery (Visit 2)
On the morning of surgery, the study coordinator met with patients in the preoperative unit to confirm fasting status (nothing to eat for 8 or more hours), no new intravenous or oral steroids, and that intravenous fluids were dextrose free. Fasting blood glucose was collected as whole blood and centrifuged in the central laboratory, after which plasma glucose was measured using the hexokinase method (Siemens Dimension Vista 3000T, Siemens Healthcare Diagnostics, Inc, Newark, DE). Hemoglobin A1C (Tosoh G7 HPLC, Tosoh Bioscience, Tokyo, Japan) was also obtained. Patients with preoperative FBG 100 mg/dL were notified and scheduled to return for another FBG measurement at their 68 week orthopedic ambulatory clinic follow‐up visit.
Postoperative Clinic Visit (Visit 3)
At 68 week follow‐up, patients with preoperative FBG 100 mg/dL had an additional FBG performed. Those who also had a follow‐up FBG 100 mg/dL at Visit 3 were determined to have DM or IFG, identified as New Diabetes/Prediabetes. Patients with glucose 100 mg/dL prior to surgery that was <100 mg/dL in follow‐up, as well as patients with blood glucose <100 mg/dL at preoperative Visit 2 (and therefore did not require a follow‐up glucose measurement) were designated Normoglycemia. Patients with preexisting DM or IFG were labeled Known Diabetes/Prediabetes.
Statistical Methods
Categorical variables were summarized using percents. Continuous variables were summarized using means and standard deviations. Chi‐square tests were conducted for categorical variables and Student t tests were used for continuous variables to compare differences between patients with newly diagnosed IFG or DM (New Diabetes/Prediabetes) and patients without diabetes (Normoglycemia), and to compare differences between patients with New Diabetes/Prediabetes and patients with known DM or IFG (Known Diabetes/Prediabetes). Sample size was determined by number of adult elective spine and total joint orthopedic patients presenting to clinic during the prespecified 1‐year period of time. All tests were considered significant if P value < 0.05.
RESULTS
A total of 302 patients met inclusion criteria and enrolled in the study. Of these patients, 27 (8.9%) were not included in final analysis due to incomplete preoperative labs (7 patients, 2.3%), lack of follow‐up (11 patients, 3.6%), withdrawal of consent (5 patients, 1.7%), or not having surgery (4 patients, 1.3%). Of the remaining 275, 54% were female. The mean patient age was 60.3 years, and 88% (243/275) of patients had a body mass index (BMI) 25 kg/m2, indicating overweight or obese. All of the patients (100%) had healthcare insurance; 97% reported having a primary care provider, with 96.6% of patients stating that they had seen a primary provider within the year prior to surgery (Table 1).
| No. (%) | |
|---|---|
| |
| Demographics | |
| Female | 148 (54) |
| Age, mean (SD) | 60.3 (11.3) |
| BMI, mean (SD) | 31.16 (5.93) |
| Surgery type | |
| Hip | 99 (36) |
| Knee | 147 (53) |
| Spine | 29 (11) |
| Socioeconomic status/healthcare access | |
| Have healthcare insurance* | 274 (100) |
| Have regular PCP | 267 (97) |
| Last PCP visit | |
| Never | 2 (0.7) |
| >3 y | 1 (0.4) |
| 13 y | 6 (2.2) |
| 6 mo1 y | 18 (6.6) |
| <6 mo | 244 (90) |
| Medical history | |
| Diabetes history | |
| No history of dysglycemia | 225 (82) |
| Prior IFG | 17 (6) |
| Prior DM | 33 (12) |
| American Diabetes Association risk factors | |
| BMI 25 | 243 (88) |
| Physical inactivity (UCLA score 3) | 40 (18) |
| High risk ethnicity | 3 (1) |
| Gestational DM | 2 (1) |
| First degree family history | 91 (33) |
| Cardiac disease | 35 (13) |
| Hypertension | 127 (46) |
| Hypercholesterolemia | 114 (42) |
| Prior IFG/IGT | 19 (7) |
| Age 45 y | 249 (91) |
Of the 275 patients, 50 (18%) had Known Diabetes/Prediabetes, 67 (24%) were given a new diagnosis of DM or IFG (New Diabetes/Prediabetes), and the remaining 158 (58%) were classified as Normoglycemia (Table 2). The sum of Known Diabetes/Prediabetes (50) and New Diabetes/Prediabetes (67) equaled the true inpatient prevalence of DM and IFG (117/275, 43%). Of the Known Diabetes/Prediabetes patients, 33/50 (66%) had DM and 17/50 (34%) had IFG. Of those with New Diabetes/Prediabetes, 8/67 (12%) had DM range values, with the remaining 59/67 (88%) in IFG range.
| Diagnosis | No. (%) | Hemoglobin A1C (Mean, SD) | Preoperative Glucose (Mean, SD) | Follow‐up Glucose (Mean, SD) | Days Between (Mean, SD) |
|---|---|---|---|---|---|
| |||||
| Known diabetes/prediabetes | 50 (18) | 6.53 (0.99) | 129.02 (33.85) | ||
| New diabetes/prediabetes* | 67 (24) | 5.80 (0.39) | 110.79 (8.69) | 107.91 (7.47) | 51.67 (13.73) |
| Normoglycemia | 158 (58) | 5.45 (0.36) | 96.04 (9.10) | ||
| Preop glucose 100, follow‐up <100 | 38 (14) | 5.54 (0.35) | 107.26 (8.69) | 93.68 (5.16) | 49.21 (12.11) |
| Preop glucose <100 | 120 (44) | 5.42 (0.36) | 92.49 (5.73) | ||
Patients with New Diabetes/Prediabetes had a higher preoperative Visit 2 glucose (mean [standard deviation], 110.79 [8.69] and 96.04 [9.10], P < 0.0001) and Hgb A1C (5.80 [0.39] and 5.45 [0.36], P < 0.0001) compared to Normoglycemia. A subset of the Normoglycemia patients (38/158, 24%), had an elevated preoperative Visit 2 glucose, but a normal (<100 mg/dL) second confirmatory Visit 3 glucose, and therefore did not have New Diabetes/Prediabetes. New Diabetes/Prediabetes was also significantly different from this particular Normoglycemia subset in both FBG (110.79 [8.69] and 107.26 [8.69], P = 0.048) and Hgb A1C (5.80 [0.39] and 5.54 [0.35], P = 0.001) (Table 2). Preoperative Visit 2 FBG of 100 mg/dL predicted Visit 3 FBG 100 mg/dL 64% of the time. Having both preoperative Visit 2 FBG 100 mg/dL and Hgb A1C 5.7 (the ADA‐determined level for prediabetes),3 predicted Visit 3 FBG 100 mg/dL 72% of the time.
Patients with New Diabetes/Prediabetes were slightly older than Normoglycemia patients (62.37 [9.70] vs 58.08 [12.01], P = 0.0054), meeting the ADA diabetes screening age of 45 significantly more often than Normoglycemia patients (100% [67] vs 84% [132], P < 0.001). The groups otherwise did not differ in the incidence of other ADA‐defined risk factors9 (Table 3). Patients with New Diabetes/Prediabetes were less likely to report having seen their PCP within 6 months prior to surgery compared to their Normoglycemia counterparts (82% [54] vs 91% [141], P = 0.046), although this difference disappeared by 1 year (94% vs 96%). Finally, there was no increase in the number of point‐of‐care (POC) glucose tests ordered, or mention of hyperglycemia on discharge summaries in the New Diabetes/Prediabetes group (Table 3).
| Demographics | Normoglycemia (N = 158) | New Diabetes/ Prediabetes (N = 67) | Known Diabetes/ Prediabetes (N = 50) |
|---|---|---|---|
| |||
| Female | 90 (57) | 33 (49) | 25 (50) |
| Age, mean (SD) | 58.08 (12.01)* | 62.37 (9.70) | 64.60 (9.02) |
| BMI, mean (SD) | 30.13 (5.76) | 31.65 (5.76) | 33.74 (5.92) |
| Surgery type | |||
| Hip | 62 (39) | 21 (31) | 16 (32) |
| Knee | 76 (48) | 41 (61) | 30 (60) |
| Spine | 20 (13) | 5 (7) | 4 (8) |
| Socioeconomic status/healthcare access | |||
| Have healthcare insurance | 158 (100) | 66 (100) | 50 (100) |
| Have regular PCP | 153 (97) | 65 (98) | 49 (98) |
| Last PCP Visit | |||
| Never | 2 (1) | 0 (0) | 0 (0) |
| >3 y | 1 (1) | 0 (0) | 0 (0) |
| 13 y | 1 (1) | 4 (6) | 1 (2) |
| 6 mo1 y | 10 (6) | 8 (12) | 0 (0) |
| In last 6 mo | 141 (91)* | 54 (82) | 49 (98) |
| Medical history | |||
| American Diabetes Association risk factors | |||
| BMI 25 | 133 (84) | 62 (93) | 48 (96) |
| Physical inactivity (UCLA score 3) | 16 (13) | 10 (18) | 14 (35) |
| High‐risk ethnicity | 2 (1) | 1 (1) | 1 (2) |
| Gestational diabetes | 1 (1) | 1 (1) | 0 (0) |
| First degree family history | 45 (28) | 19 (28) | 27 (55) |
| Cardiac disease | 14 (9) | 7 (10) | 14 (28) |
| Hypertension | 62 (39) | 31 (46) | 34 (68) |
| Hyperlipidemia | 54 (34) | 28 (42) | 32 (64) |
| Age 45 | 132 (84)* | 67 (100) | 50 (100) |
| Follow‐up | |||
| Point‐of‐care glucose ordered | 1 (1) | 0 (0) | 31 (62) |
| Dysglycemia mentioned on discharge summary | 0 (0) | 0 (0) | 28 (56) |
DISCUSSION AND CONCLUSION
The main finding of this study is that in an insured, elective orthopedic population with access to primary care, 24% of patients had unrecognized IFG or DM on the basis of 2 fasting blood glucose values. Remarkably, this statistic likely represents a best‐case scenario, as the percent of undiagnosed patients is likely higher in uninsured patients,20 those without primary care visits, and those hospitalized for emergent or urgent reasons who, by definition, did not have an ambulatory preoperative evaluation, and who may also have greater severity of illness at baseline. With over 1,053,000 total knee and hip operations done in the United States each year, opportunistic screening of this population alone could identify 252,720 patients with prediabetes or diabetes who might otherwise remain undiagnosed.21 Even more significant, with at least 70 million patients undergoing ambulatory or inpatient procedures each year, if even a quarter of these procedures were elective adult lower acuity surgeries allowing for easy preoperative testing, over 4 million cases of DM and IFG could be found each year using this process.21, 22 These numbers demonstrate the need to investigate new and novel screening opportunities, such as in hospitalized patients. These statistics also demonstrate the need for all inpatient providers to be aware of undiagnosed diabetes and prediabetes in their patients, and confirm recommendations of the Endocrine Society to obtain a blood glucose for all patients on admission, and measure Hgb A1C in all hyperglycemic or diabetic inpatients if not performed in the preceding 23 months.23
Diagnosis of DM has historically been difficult to make in the hospital setting. The primary diagnostic test, FBG, may be elevated in the setting of counter‐regulatory hormone surge and inflammatory stress response, and its use has been discouraged in the acute care setting.14, 15, 24 While not affected by stress, Hgb A1C, endorsed in 2010 by the ADA for diagnosis of DM,8 may still be unreliable in the setting of blood loss, transfusion, hemolysis, and other factors common during surgery and hospitalization.9, 25 However, we found that 64% of patients with elevated (100 mg/dL) blood glucose at the time of pre‐anesthesia evaluation did have persistently elevated blood glucose at 68 week follow‐up. This suggests that the preoperative glucose is unstressed, and may be a rapid, reasonably reliable indicator of patients needing ambulatory follow‐up to confirm DM or prediabetes. This may also provide perioperative risk stratification if glycemic history is unknown. As many fasting, preoperative patients have routine chemistry panels ordered already, the simple glucose included in such panels may prove to be the most useful diabetes test for anesthesiologists, surgeons, hospitalists, and other inpatient providers. Our data suggests that Hgb A1C 5.7, the ADA‐suggested IFG/prediabetes cut point,9 can also be used in combination with FBG 100 to predict persistent hyperglycemia.
This study also revealed several significant systems issues that merit attention if opportunistic inpatient screening or preventive care is to be successful in a shared responsibility ACO system. Most importantly, none of our patients with elevated preoperative blood glucose had these results conveyed to their primary care provider at discharge, revealing both a need for improved transitions in care and development of formal ACO structure if inpatient or preoperative screening is to be successful. Second, our study also showed that providers did not change plan of care for patients without known DM or IFG and preoperative elevated glucose. None of these patients had point‐of‐care glucose checks ordered while in the hospital, demonstrating that previously undiagnosed dysglycemic patients receive different in‐hospital care compared to patients with known DM. While it is possible that providers consciously decided not to monitor patients with mild hyperglycemia, consistent with inpatient guidelines recommending glycemic targets of <180 mg/dL for general care patients,20 it is more likely that there was lack of recognition of hyperglycemia in these patients without prior DM or IFG, as has been demonstrated previously.26 Inpatient providers should be informed of, and encouraged to, follow Endocrine Society recommendations to monitor POC glucose in patients with hyperglycemia (>140 mg/dL) for at least 2448 hours.23
It is important to state that controversy exists regarding which patients should be screened for diabetes. The United States Preventive Services Task Force (USPSTF) recommends screening adult patients only if they have hypertension.27 The ADA recommends screening all patients 45 years of age and older, and younger, overweight patients with at least 1 additional risk factor.9 We have previously shown that using USPSTF guidelines misses 33.1% of cases of DM compared to the ADA standard.28 As such, our institution and the Wisconsin State Diabetes Screening Guidelines mirror the ADA guidelines.29, 30 In the present study, 91% were aged 45 and older, and 88% were overweight, so nearly everyone in our study met our state and institution guidelines for diabetes screening. However, this might not be the case at all institutions if USPSTF guidelines were instead followed.
A limitation of the present study was that a selection bias of subjects could have occurred by both patients and providers, as less healthy patients with higher surgical risk may not have been candidates for surgery as often as lower‐risk patients. While entirely appropriate to maximize safety for elective surgery patients, this may in part explain the lower Hgb A1C (6.53 [0.14]) in our Known Diabetes/Prediabetes group, and lower range of blood glucose values in our New Diabetes/Prediabetes patients, with the majority being in the prediabetes range. However, this limitation also allows for the conclusion that any patient, regardless of perceived good health and primary care visits, may still have undiagnosed DM or IFG.
In summary, this study strongly supports the practice of screening obligate fasting patients to reduce the prevalence of undiagnosed diabetes. Despite the fact that our patients had insurance and recent primary care visits, nearly one‐quarter of individuals had previously unrecognized dysglycemia. This study also revealed systems issues, including the need for improved care transitions and development of a structure for shared responsibility in an ACO system, that need to be addressed if screening initiatives are to be effective in the hospital setting. Future studies will be needed to determine if other opportunistic screening tests have case‐finding potential, and further, how transitions processes can be improved to ensure that knowledge gained in the hospital is conveyed to the ambulatory setting.
Acknowledgements
The authors thank the orthopedic midlevel providers and nurses who assisted with patient recruitment, and the Clinical Trials staff, particularly Lori Wollet, for their assistance throughout the study. All authors disclose no relevant or financial conflicts of interest.
- Centers for Medicare and Medicaid Services. Accountable Care Organizations: What providers need to know. Available at: https://www.cms.gov/MLNProducts/downloads/ACO_Providers_Factsheet_ICN907406.pdf. Accessed February 20,2012.
- ,,.Care transitions from inpatient to outpatient settings: ongoing challenges and emerging best practices.Hosp Pract (Minneapolis).2001;39:128–139.
- ,,,,,.Quality improvement in critical access hospitals: addressing immunizations prior to discharge.J Rural Health.2003;19:433–438.
- IDSA Guidelines. Immunization Programs for Infants, Children, Adolescents, and Adults: Clinical Practice Guidelines by the Infectious Diseases Society of America. Available at: http://www.idsociety.org/uploadedFiles/IDSA/Guidelines‐Patient_Care/PDF_Library/Immunization.pdf. Accessed February 23,2012.
- Agency for Healthcare Research and Quality: Pneumococcal Vaccination Prior to Hospital Discharge. Available at: http://www/ahrq.gov/clinic/ptsafety/chap36.htm. Accessed February 23,2012.
- ,,, et al.Full accounting of diabetes and pre‐diabetes in the U.S. population in 1988–1994 and 2005–2006.Diabetes Care.2009;32:287–294.
- ,,.Back to Wilson and Jungner: 10 good reasons to screen for type 2 diabetes mellitus.Mayo Clin Proc.2009;84:38–42.
- American Diabetes Association.Standards of medical care in diabetes—2010.Diabetes Care.2010;33:S11–S61.
- American Diabetes Association.Standards of medical care in diabetes—2012.Diabetes Care.2012;35:s11–s63.
- National Diabetes Information Clearinghouse NIDDK National Diabetes Statistics 2011. Available at: http://diabetes.niddk.nih.gov/dm/pubs/statistics/index.htm#people. Accessed February 23,2012.
- ,,, et al.Impaired fasting glucose and impaired glucose tolerance: implications for care.Diabetes Care.2007;30:753–759.
- ,,,,,.Prevalence of previously unknown elevation of glycosylated hemoglobin in spine surgery patients and impact on length of stay and total cost.J Hosp Med.2010;5:E10–E14.
- ,,.Stress hyperglycemia.Lancet.2009;373:1798–1807.
- ,,, et al.Management of diabetes and hyperglycemia in hospitals.Diabetes Care.2004;27:553–591.
- ,.An overview of preoperative glucose evaluation, management, and perioperative impact.J Diabetes Sci Technol.2009;3:1261–1269.
- ,,,.A cost‐effective screening method for preoperative hyperglycemia.Anesth Analg.2009;109:1622–1624.
- ,,,,,.Fasting blood glucose levels in patients presenting for elective surgery.Nutrition.2011;27:298–301.
- ,,, et al.The prevalence of undiagnosed diabetes in non‐cardiac surgery patients, an observational study.Can J Anesth.2010;57:1058–1064.
- ,,,,.The value of patient activity level in the outcome of total hip arthroplasty.J Arthroplasty.2006;21:547–552.
- ,,,,,.Analysis of guidelines for screening diabetes mellitus in an ambulatory population.Mayo Clin Proc.2010;85:27–35.
- Centers for Disease Control and Prevention National Center for Health Statistics Inpatient Surgery Statistics, 2007. Available at: http://www.cdc.gov/nchs/fastats/insurg.htm. Accessed February 23,2012.
- Centers for Disease Control and Prevention National Health Statistics Reports Ambulatory Surgery Statistics, 2006. Available at: http://www.cdc.gov/nchs/data/nhsr/nhsr011.pdf. Accessed February 23,2012.
- ,,, et al.Management of hyperglycemia in hospitalized patients in non‐critical care setting: an Endocrine Society Clinical Practice Guideline.J Clin Endocrinol Metab.2012;97:16–38.
- ,.Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation.Diabet Med.1998;15:539–553.
- National Glycohemoglobin Standardization Program (NGSP). Available at: http://www.ngsp.org. Accessed February 23,2012.
- ,,, et al.American Association of Clinical Endocrinologists and American Diabetes Association consensus statement on inpatient glycemic control.Diabetes Care.2009;32:1119–1131.
- ,,,,,.Hyperglycemia: an independent marker of in‐hospital mortality in patients with undiagnosed diabetes.J Clin Endocrinol Metab.2002;87:978–982.
- United States Preventive Services Task Force Diabetes Screening Guideline. Available at: http://www.uspreventiveservicestaskforce.org/uspstf/uspsdiab.htm. Accessed February 22,2012.
- University of Wisconsin and UW Health Preventive Care Guidelines. Available at: https://ghcscw.com/media/2011_ph_Preventive_Care_Guidelines_2010.pdf. Accessed February 22,2012.
- Wisconsin Diabetes Mellitus Essential Care Guidelines 2011. Available at: http://www.dhs.wisconsin.gov/health/diabetes/PDFs/GL13.pdf. Accessed February 22,2012.
- Centers for Medicare and Medicaid Services. Accountable Care Organizations: What providers need to know. Available at: https://www.cms.gov/MLNProducts/downloads/ACO_Providers_Factsheet_ICN907406.pdf. Accessed February 20,2012.
- ,,.Care transitions from inpatient to outpatient settings: ongoing challenges and emerging best practices.Hosp Pract (Minneapolis).2001;39:128–139.
- ,,,,,.Quality improvement in critical access hospitals: addressing immunizations prior to discharge.J Rural Health.2003;19:433–438.
- IDSA Guidelines. Immunization Programs for Infants, Children, Adolescents, and Adults: Clinical Practice Guidelines by the Infectious Diseases Society of America. Available at: http://www.idsociety.org/uploadedFiles/IDSA/Guidelines‐Patient_Care/PDF_Library/Immunization.pdf. Accessed February 23,2012.
- Agency for Healthcare Research and Quality: Pneumococcal Vaccination Prior to Hospital Discharge. Available at: http://www/ahrq.gov/clinic/ptsafety/chap36.htm. Accessed February 23,2012.
- ,,, et al.Full accounting of diabetes and pre‐diabetes in the U.S. population in 1988–1994 and 2005–2006.Diabetes Care.2009;32:287–294.
- ,,.Back to Wilson and Jungner: 10 good reasons to screen for type 2 diabetes mellitus.Mayo Clin Proc.2009;84:38–42.
- American Diabetes Association.Standards of medical care in diabetes—2010.Diabetes Care.2010;33:S11–S61.
- American Diabetes Association.Standards of medical care in diabetes—2012.Diabetes Care.2012;35:s11–s63.
- National Diabetes Information Clearinghouse NIDDK National Diabetes Statistics 2011. Available at: http://diabetes.niddk.nih.gov/dm/pubs/statistics/index.htm#people. Accessed February 23,2012.
- ,,, et al.Impaired fasting glucose and impaired glucose tolerance: implications for care.Diabetes Care.2007;30:753–759.
- ,,,,,.Prevalence of previously unknown elevation of glycosylated hemoglobin in spine surgery patients and impact on length of stay and total cost.J Hosp Med.2010;5:E10–E14.
- ,,.Stress hyperglycemia.Lancet.2009;373:1798–1807.
- ,,, et al.Management of diabetes and hyperglycemia in hospitals.Diabetes Care.2004;27:553–591.
- ,.An overview of preoperative glucose evaluation, management, and perioperative impact.J Diabetes Sci Technol.2009;3:1261–1269.
- ,,,.A cost‐effective screening method for preoperative hyperglycemia.Anesth Analg.2009;109:1622–1624.
- ,,,,,.Fasting blood glucose levels in patients presenting for elective surgery.Nutrition.2011;27:298–301.
- ,,, et al.The prevalence of undiagnosed diabetes in non‐cardiac surgery patients, an observational study.Can J Anesth.2010;57:1058–1064.
- ,,,,.The value of patient activity level in the outcome of total hip arthroplasty.J Arthroplasty.2006;21:547–552.
- ,,,,,.Analysis of guidelines for screening diabetes mellitus in an ambulatory population.Mayo Clin Proc.2010;85:27–35.
- Centers for Disease Control and Prevention National Center for Health Statistics Inpatient Surgery Statistics, 2007. Available at: http://www.cdc.gov/nchs/fastats/insurg.htm. Accessed February 23,2012.
- Centers for Disease Control and Prevention National Health Statistics Reports Ambulatory Surgery Statistics, 2006. Available at: http://www.cdc.gov/nchs/data/nhsr/nhsr011.pdf. Accessed February 23,2012.
- ,,, et al.Management of hyperglycemia in hospitalized patients in non‐critical care setting: an Endocrine Society Clinical Practice Guideline.J Clin Endocrinol Metab.2012;97:16–38.
- ,.Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation.Diabet Med.1998;15:539–553.
- National Glycohemoglobin Standardization Program (NGSP). Available at: http://www.ngsp.org. Accessed February 23,2012.
- ,,, et al.American Association of Clinical Endocrinologists and American Diabetes Association consensus statement on inpatient glycemic control.Diabetes Care.2009;32:1119–1131.
- ,,,,,.Hyperglycemia: an independent marker of in‐hospital mortality in patients with undiagnosed diabetes.J Clin Endocrinol Metab.2002;87:978–982.
- United States Preventive Services Task Force Diabetes Screening Guideline. Available at: http://www.uspreventiveservicestaskforce.org/uspstf/uspsdiab.htm. Accessed February 22,2012.
- University of Wisconsin and UW Health Preventive Care Guidelines. Available at: https://ghcscw.com/media/2011_ph_Preventive_Care_Guidelines_2010.pdf. Accessed February 22,2012.
- Wisconsin Diabetes Mellitus Essential Care Guidelines 2011. Available at: http://www.dhs.wisconsin.gov/health/diabetes/PDFs/GL13.pdf. Accessed February 22,2012.
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