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Guidelines ineffective for reprocessing of endoscopes
Reprocessing guidelines currently in place for clinical gastrointestinal endoscopes need to be reevaluated and updated as soon as possible, according to a study published in the American Journal of Infection Control (doi: 10.1016/j.ajic.2015.03.003).
Procedures that follow current guidelines do not fully decontaminate the colonoscopes and gastroscopes after they’re used for procedures, leaving behind microbe levels that are well above the accepted benchmark standards.
“Previous studies show that cleaning endoscope channels is laborious and time consuming, and technicians often skip steps,” wrote the study’s authors – led by Cori L. Ofstead, MSPH, of Ofstead & Associates, St. Paul, Minn. “This is concerning, given that the procedure-related risk of endoscopy may be higher than previously thought [and] without objective verification, clinicians can unknowingly use contaminated endoscopes for procedures.”
The study, conducted at the Mayo Clinic in Rochester, Minn., examined the use of 15 endoscopes involved in 60 separate procedures over the period of Nov. 4-8, 2013, to determine how each endoscope was treated after an operation and whether these cleaning procedures followed guidelines and effectively decontaminated the devices.
“Endoscope testing was performed in a dedicated room adjacent to the procedure room, which allowed for rapid sampling and testing [and] barrier separation [minimized] potential for environmental cross-contamination.” the authors explained.
They maintained aseptic environmental conditions while gathering data, using disinfectant wipes on surfaces, using disposable absorbent pads, and restricting room access.
The researchers wore gloves, impervious gowns, face masks with splash protection, hair nets, and shoe covers; the gloves were changed between each sample collection, and gowns were changed between endoscope collections.
Microbial cultures and rapid indicator tests were conducted for ATP, protein, hemoglobin, and carbohydrate residue. Viable microbe samples were collected from 92% of bedside-cleaned endoscopes, 46% of manually cleaned endoscopes, 64% of “high-level disinfected” endoscopes, and 9% of stored endoscopes. Results from rapid indicator tests showed that some form of contamination was present on 100% of bedside-cleaned endoscopes, 92% of manually cleaned endoscopes, 73% of high-level disinfected endoscopes, and 82% of stored endoscopes which had viable microbes.
“Current guidelines rely on visual inspection to verify cleaning [but] visible contamination was never present, potentially because blood and feces may be difficult to discern from endoscopes’ black exteriors, and microscopic organisms cannot be seen by the naked eye,” the researchers wrote.
Consequently, Ms. Ofstead and colleagues called for a reexamination of current guidelines to move away from the eyeball test, saying that the results found here should pave the way for future studies to devise methods of more effectively cleaning and disinfecting endoscopes in a shorter amount of time.
“In the meantime, methods to ensure effectiveness of reprocessing practices are needed, including the potential use of routine monitoring with rapid indicators and microbiologic cultures,” they suggested.
Ms. Ofstead is president and CEO of Ofstead & Associates, which has received research funding and speaking honoraria related to endoscopic procedures from 3M, Advanced Sterilization Products, Medivators, Invendo Medical, Boston Scientific, and Steris. Three coauthors are employed by Ofstead & Associates, but have no other disclosures to report. The remaining coauthors had no disclosures to report. Funding was provided by 3M, Mayo Clinic, and Ofstead & Associates.
Reprocessing guidelines currently in place for clinical gastrointestinal endoscopes need to be reevaluated and updated as soon as possible, according to a study published in the American Journal of Infection Control (doi: 10.1016/j.ajic.2015.03.003).
Procedures that follow current guidelines do not fully decontaminate the colonoscopes and gastroscopes after they’re used for procedures, leaving behind microbe levels that are well above the accepted benchmark standards.
“Previous studies show that cleaning endoscope channels is laborious and time consuming, and technicians often skip steps,” wrote the study’s authors – led by Cori L. Ofstead, MSPH, of Ofstead & Associates, St. Paul, Minn. “This is concerning, given that the procedure-related risk of endoscopy may be higher than previously thought [and] without objective verification, clinicians can unknowingly use contaminated endoscopes for procedures.”
The study, conducted at the Mayo Clinic in Rochester, Minn., examined the use of 15 endoscopes involved in 60 separate procedures over the period of Nov. 4-8, 2013, to determine how each endoscope was treated after an operation and whether these cleaning procedures followed guidelines and effectively decontaminated the devices.
“Endoscope testing was performed in a dedicated room adjacent to the procedure room, which allowed for rapid sampling and testing [and] barrier separation [minimized] potential for environmental cross-contamination.” the authors explained.
They maintained aseptic environmental conditions while gathering data, using disinfectant wipes on surfaces, using disposable absorbent pads, and restricting room access.
The researchers wore gloves, impervious gowns, face masks with splash protection, hair nets, and shoe covers; the gloves were changed between each sample collection, and gowns were changed between endoscope collections.
Microbial cultures and rapid indicator tests were conducted for ATP, protein, hemoglobin, and carbohydrate residue. Viable microbe samples were collected from 92% of bedside-cleaned endoscopes, 46% of manually cleaned endoscopes, 64% of “high-level disinfected” endoscopes, and 9% of stored endoscopes. Results from rapid indicator tests showed that some form of contamination was present on 100% of bedside-cleaned endoscopes, 92% of manually cleaned endoscopes, 73% of high-level disinfected endoscopes, and 82% of stored endoscopes which had viable microbes.
“Current guidelines rely on visual inspection to verify cleaning [but] visible contamination was never present, potentially because blood and feces may be difficult to discern from endoscopes’ black exteriors, and microscopic organisms cannot be seen by the naked eye,” the researchers wrote.
Consequently, Ms. Ofstead and colleagues called for a reexamination of current guidelines to move away from the eyeball test, saying that the results found here should pave the way for future studies to devise methods of more effectively cleaning and disinfecting endoscopes in a shorter amount of time.
“In the meantime, methods to ensure effectiveness of reprocessing practices are needed, including the potential use of routine monitoring with rapid indicators and microbiologic cultures,” they suggested.
Ms. Ofstead is president and CEO of Ofstead & Associates, which has received research funding and speaking honoraria related to endoscopic procedures from 3M, Advanced Sterilization Products, Medivators, Invendo Medical, Boston Scientific, and Steris. Three coauthors are employed by Ofstead & Associates, but have no other disclosures to report. The remaining coauthors had no disclosures to report. Funding was provided by 3M, Mayo Clinic, and Ofstead & Associates.
Reprocessing guidelines currently in place for clinical gastrointestinal endoscopes need to be reevaluated and updated as soon as possible, according to a study published in the American Journal of Infection Control (doi: 10.1016/j.ajic.2015.03.003).
Procedures that follow current guidelines do not fully decontaminate the colonoscopes and gastroscopes after they’re used for procedures, leaving behind microbe levels that are well above the accepted benchmark standards.
“Previous studies show that cleaning endoscope channels is laborious and time consuming, and technicians often skip steps,” wrote the study’s authors – led by Cori L. Ofstead, MSPH, of Ofstead & Associates, St. Paul, Minn. “This is concerning, given that the procedure-related risk of endoscopy may be higher than previously thought [and] without objective verification, clinicians can unknowingly use contaminated endoscopes for procedures.”
The study, conducted at the Mayo Clinic in Rochester, Minn., examined the use of 15 endoscopes involved in 60 separate procedures over the period of Nov. 4-8, 2013, to determine how each endoscope was treated after an operation and whether these cleaning procedures followed guidelines and effectively decontaminated the devices.
“Endoscope testing was performed in a dedicated room adjacent to the procedure room, which allowed for rapid sampling and testing [and] barrier separation [minimized] potential for environmental cross-contamination.” the authors explained.
They maintained aseptic environmental conditions while gathering data, using disinfectant wipes on surfaces, using disposable absorbent pads, and restricting room access.
The researchers wore gloves, impervious gowns, face masks with splash protection, hair nets, and shoe covers; the gloves were changed between each sample collection, and gowns were changed between endoscope collections.
Microbial cultures and rapid indicator tests were conducted for ATP, protein, hemoglobin, and carbohydrate residue. Viable microbe samples were collected from 92% of bedside-cleaned endoscopes, 46% of manually cleaned endoscopes, 64% of “high-level disinfected” endoscopes, and 9% of stored endoscopes. Results from rapid indicator tests showed that some form of contamination was present on 100% of bedside-cleaned endoscopes, 92% of manually cleaned endoscopes, 73% of high-level disinfected endoscopes, and 82% of stored endoscopes which had viable microbes.
“Current guidelines rely on visual inspection to verify cleaning [but] visible contamination was never present, potentially because blood and feces may be difficult to discern from endoscopes’ black exteriors, and microscopic organisms cannot be seen by the naked eye,” the researchers wrote.
Consequently, Ms. Ofstead and colleagues called for a reexamination of current guidelines to move away from the eyeball test, saying that the results found here should pave the way for future studies to devise methods of more effectively cleaning and disinfecting endoscopes in a shorter amount of time.
“In the meantime, methods to ensure effectiveness of reprocessing practices are needed, including the potential use of routine monitoring with rapid indicators and microbiologic cultures,” they suggested.
Ms. Ofstead is president and CEO of Ofstead & Associates, which has received research funding and speaking honoraria related to endoscopic procedures from 3M, Advanced Sterilization Products, Medivators, Invendo Medical, Boston Scientific, and Steris. Three coauthors are employed by Ofstead & Associates, but have no other disclosures to report. The remaining coauthors had no disclosures to report. Funding was provided by 3M, Mayo Clinic, and Ofstead & Associates.
FDA approves ReShape intragastric balloon device
The first intragastric balloon–based device designed to help obese people lose weight has been approved by the Food and Drug Administration, providing a treatment option that is less invasive than bariatric surgery and gastric banding.
The FDA approved the ReShape Integrated Dual Balloon System on July 28, for “weight reduction when used in conjunction with diet and exercise, in obese patients with a body mass index (BMI) of 30-40 kg/m2 and one or more obesity-related comorbid conditions,” in adults who have not been able to lose weight with diet and exercise alone, according to the agency’s approval letter. Laparoscopic gastric banding is indicated for patients with a BMI of at least 40 kg/m2 (or at least 30 kg/m2 in people with one or more obesity-related comorbidities) and bariatric surgery is usually recommended for patients with a BMI of at least 40 kg/m2 (or at least 35 kg/m2 in people with at least one obesity-related comorbidity).
The ReShape device is made up of two attached balloons that are placed in the stomach through a minimally invasive endoscopic procedure, where they are filled with about 2 cups of saline and methylene blue dye, under mild sedation; the balloons are sealed with mineral oil and left in place for up to 6 months. If a balloon ruptures, the dye appears in the urine. When it is time to remove the balloons, they are deflated then removed using another endoscopic procedure.
The device was evaluated in a pivotal study at eight U.S. sites of over 300 mostly female obese patients whose mean age was about 44 years; their mean weight was about 209-213 pounds, and their mean BMI was about 35 kg/m2; 187 received the device and 139 had the endoscopy only. All participants were on a medically managed diet and exercise program. At 6 months, those in the device group had lost a mean of about 24% of their weight, vs. a mean of about 11% among controls, a statistically significant difference (P = .0041). Those who had lost weight at 6 months “maintained 60% of this weight loss through 48 weeks of follow-up,” according to the FDA.
After placement of the device, common adverse events were vomiting, nausea, and abdominal pain, but most symptoms resolved within 30 days, according to the FDA. The development of gastric ulcerations is described as the “most worrisome” device-related risk, but “there were no unanticipated adverse device effects, no deaths, no intestinal obstructions, and no gastric perforations” in the study.
Among the 265 patients who received the device (those initially enrolled in the pivotal trial plus 78 who were in the control group and opted to receive the device after the first 6 months), 20 (7.5%) experienced severe adverse events; vomiting was the most common, in 4.5%. Serious events included gastric ulcers in two patients (0.8%) at 19 and at 97 days after the device was placed; in both cases, the device was removed. Almost 15% of those who received the device had to have it removed because of an adverse event. The rate of gastric ulcers after a minor change was made to the device was 10%; and the rate of balloon deflations without migration was 6%.
The FDA summary of the approval refers to the “marginal benefit of weight loss” among those in the treatment group, compared with controls, but adds that the decision to approve the device “is based in part on the limited options available to patients with mild to moderate obesity who have failed other means for conservative weight loss.”
While the effectiveness of the device is better than what would be expected with diet and exercise or pharmacologic therapy,” it is “substantially less than what would be expected with gastric banding or other surgical interventions.” The list of contraindications includes previous gastrointestinal surgery “with sequelae,” such as an obstruction or adhesions; previous bariatric surgery; any GI inflammatory disease, severe coagulopathy; and women who are pregnant or breastfeeding.
“The company plans to make the ReShape procedure available to patients first in select markets, as physicians and allied health professionals are trained in the procedure and support program to optimize patient outcome,” according to the company’s statement announcing approval.
The ReShape device has been available in Europe since 2007.
Information posted by the FDA, including labeling for professionals, is available at www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfTopic/pma/pma.cfm?num=P140012.
The AGA Center for GI Innovation and Technology is committed to supporting the development of new devices and their introduction to the market in a safe and efficient manner. The center has been working with the FDA for the past several years to help the agency determine how to assess obesity devices.
“It is gratifying to see that the FDA continues to facilitate technologies to address significant public health concerns,” said chair of the center, Dr. Michael L. Kochman, FACP, AGAF. “The AGA Center for GI Innovation and Technology’s obesity-focused meeting, held in conjunction with the FDA, and the annual AGA Tech Summits have helped inform the discussion surrounding the new and novel devices in the obesity and metabolism space.”
The first intragastric balloon–based device designed to help obese people lose weight has been approved by the Food and Drug Administration, providing a treatment option that is less invasive than bariatric surgery and gastric banding.
The FDA approved the ReShape Integrated Dual Balloon System on July 28, for “weight reduction when used in conjunction with diet and exercise, in obese patients with a body mass index (BMI) of 30-40 kg/m2 and one or more obesity-related comorbid conditions,” in adults who have not been able to lose weight with diet and exercise alone, according to the agency’s approval letter. Laparoscopic gastric banding is indicated for patients with a BMI of at least 40 kg/m2 (or at least 30 kg/m2 in people with one or more obesity-related comorbidities) and bariatric surgery is usually recommended for patients with a BMI of at least 40 kg/m2 (or at least 35 kg/m2 in people with at least one obesity-related comorbidity).
The ReShape device is made up of two attached balloons that are placed in the stomach through a minimally invasive endoscopic procedure, where they are filled with about 2 cups of saline and methylene blue dye, under mild sedation; the balloons are sealed with mineral oil and left in place for up to 6 months. If a balloon ruptures, the dye appears in the urine. When it is time to remove the balloons, they are deflated then removed using another endoscopic procedure.
The device was evaluated in a pivotal study at eight U.S. sites of over 300 mostly female obese patients whose mean age was about 44 years; their mean weight was about 209-213 pounds, and their mean BMI was about 35 kg/m2; 187 received the device and 139 had the endoscopy only. All participants were on a medically managed diet and exercise program. At 6 months, those in the device group had lost a mean of about 24% of their weight, vs. a mean of about 11% among controls, a statistically significant difference (P = .0041). Those who had lost weight at 6 months “maintained 60% of this weight loss through 48 weeks of follow-up,” according to the FDA.
After placement of the device, common adverse events were vomiting, nausea, and abdominal pain, but most symptoms resolved within 30 days, according to the FDA. The development of gastric ulcerations is described as the “most worrisome” device-related risk, but “there were no unanticipated adverse device effects, no deaths, no intestinal obstructions, and no gastric perforations” in the study.
Among the 265 patients who received the device (those initially enrolled in the pivotal trial plus 78 who were in the control group and opted to receive the device after the first 6 months), 20 (7.5%) experienced severe adverse events; vomiting was the most common, in 4.5%. Serious events included gastric ulcers in two patients (0.8%) at 19 and at 97 days after the device was placed; in both cases, the device was removed. Almost 15% of those who received the device had to have it removed because of an adverse event. The rate of gastric ulcers after a minor change was made to the device was 10%; and the rate of balloon deflations without migration was 6%.
The FDA summary of the approval refers to the “marginal benefit of weight loss” among those in the treatment group, compared with controls, but adds that the decision to approve the device “is based in part on the limited options available to patients with mild to moderate obesity who have failed other means for conservative weight loss.”
While the effectiveness of the device is better than what would be expected with diet and exercise or pharmacologic therapy,” it is “substantially less than what would be expected with gastric banding or other surgical interventions.” The list of contraindications includes previous gastrointestinal surgery “with sequelae,” such as an obstruction or adhesions; previous bariatric surgery; any GI inflammatory disease, severe coagulopathy; and women who are pregnant or breastfeeding.
“The company plans to make the ReShape procedure available to patients first in select markets, as physicians and allied health professionals are trained in the procedure and support program to optimize patient outcome,” according to the company’s statement announcing approval.
The ReShape device has been available in Europe since 2007.
Information posted by the FDA, including labeling for professionals, is available at www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfTopic/pma/pma.cfm?num=P140012.
The AGA Center for GI Innovation and Technology is committed to supporting the development of new devices and their introduction to the market in a safe and efficient manner. The center has been working with the FDA for the past several years to help the agency determine how to assess obesity devices.
“It is gratifying to see that the FDA continues to facilitate technologies to address significant public health concerns,” said chair of the center, Dr. Michael L. Kochman, FACP, AGAF. “The AGA Center for GI Innovation and Technology’s obesity-focused meeting, held in conjunction with the FDA, and the annual AGA Tech Summits have helped inform the discussion surrounding the new and novel devices in the obesity and metabolism space.”
The first intragastric balloon–based device designed to help obese people lose weight has been approved by the Food and Drug Administration, providing a treatment option that is less invasive than bariatric surgery and gastric banding.
The FDA approved the ReShape Integrated Dual Balloon System on July 28, for “weight reduction when used in conjunction with diet and exercise, in obese patients with a body mass index (BMI) of 30-40 kg/m2 and one or more obesity-related comorbid conditions,” in adults who have not been able to lose weight with diet and exercise alone, according to the agency’s approval letter. Laparoscopic gastric banding is indicated for patients with a BMI of at least 40 kg/m2 (or at least 30 kg/m2 in people with one or more obesity-related comorbidities) and bariatric surgery is usually recommended for patients with a BMI of at least 40 kg/m2 (or at least 35 kg/m2 in people with at least one obesity-related comorbidity).
The ReShape device is made up of two attached balloons that are placed in the stomach through a minimally invasive endoscopic procedure, where they are filled with about 2 cups of saline and methylene blue dye, under mild sedation; the balloons are sealed with mineral oil and left in place for up to 6 months. If a balloon ruptures, the dye appears in the urine. When it is time to remove the balloons, they are deflated then removed using another endoscopic procedure.
The device was evaluated in a pivotal study at eight U.S. sites of over 300 mostly female obese patients whose mean age was about 44 years; their mean weight was about 209-213 pounds, and their mean BMI was about 35 kg/m2; 187 received the device and 139 had the endoscopy only. All participants were on a medically managed diet and exercise program. At 6 months, those in the device group had lost a mean of about 24% of their weight, vs. a mean of about 11% among controls, a statistically significant difference (P = .0041). Those who had lost weight at 6 months “maintained 60% of this weight loss through 48 weeks of follow-up,” according to the FDA.
After placement of the device, common adverse events were vomiting, nausea, and abdominal pain, but most symptoms resolved within 30 days, according to the FDA. The development of gastric ulcerations is described as the “most worrisome” device-related risk, but “there were no unanticipated adverse device effects, no deaths, no intestinal obstructions, and no gastric perforations” in the study.
Among the 265 patients who received the device (those initially enrolled in the pivotal trial plus 78 who were in the control group and opted to receive the device after the first 6 months), 20 (7.5%) experienced severe adverse events; vomiting was the most common, in 4.5%. Serious events included gastric ulcers in two patients (0.8%) at 19 and at 97 days after the device was placed; in both cases, the device was removed. Almost 15% of those who received the device had to have it removed because of an adverse event. The rate of gastric ulcers after a minor change was made to the device was 10%; and the rate of balloon deflations without migration was 6%.
The FDA summary of the approval refers to the “marginal benefit of weight loss” among those in the treatment group, compared with controls, but adds that the decision to approve the device “is based in part on the limited options available to patients with mild to moderate obesity who have failed other means for conservative weight loss.”
While the effectiveness of the device is better than what would be expected with diet and exercise or pharmacologic therapy,” it is “substantially less than what would be expected with gastric banding or other surgical interventions.” The list of contraindications includes previous gastrointestinal surgery “with sequelae,” such as an obstruction or adhesions; previous bariatric surgery; any GI inflammatory disease, severe coagulopathy; and women who are pregnant or breastfeeding.
“The company plans to make the ReShape procedure available to patients first in select markets, as physicians and allied health professionals are trained in the procedure and support program to optimize patient outcome,” according to the company’s statement announcing approval.
The ReShape device has been available in Europe since 2007.
Information posted by the FDA, including labeling for professionals, is available at www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfTopic/pma/pma.cfm?num=P140012.
The AGA Center for GI Innovation and Technology is committed to supporting the development of new devices and their introduction to the market in a safe and efficient manner. The center has been working with the FDA for the past several years to help the agency determine how to assess obesity devices.
“It is gratifying to see that the FDA continues to facilitate technologies to address significant public health concerns,” said chair of the center, Dr. Michael L. Kochman, FACP, AGAF. “The AGA Center for GI Innovation and Technology’s obesity-focused meeting, held in conjunction with the FDA, and the annual AGA Tech Summits have helped inform the discussion surrounding the new and novel devices in the obesity and metabolism space.”
3-Month paliperidone palmitate for preventing relapse in schizophrenia
A 3-month paliperidone palmitate (PPM-3) extended-release injectable suspension was approved by the FDA in May 2015 for preventing relapse among patients with schizophrenia, under the brand name Invega Trinza (Table 1). Administered 4 times a year, PPM-3 provides the longest interval of any approved long-acting injectable antipsychotic (LAIA). PPM-3 can be administered to patients with schizophrenia who have been taking 1-month paliperidone palmitate (PPM-1) extended-release injectable suspension (brand name, Invega Sustenna), once a month, for at least 4 months.
How it works
PPM-3 is a LAIA injection. Because of its low solubility in water, paliperidone palmitate dissolves slowly once injected before being hydrolyzed as paliperidone and absorbed into the bloodstream. From time of release on Day 1, PPM-3 remains active for as long 18 months.
PPM-3 reaches a maximum plasma concentration between Day 30 and Day 33. In clinical trials, PPM-3 had a median half-life of 84 to 95 days when injected into the deltoid muscle and a median half-life of 118 to 139 days when injected into the gluteal muscle.
Paliperidone is not extensively metabolized in the liver. Although results of a study suggest that cytochrome P450 (CYP) 2D6 and CYP3A4 might play a role in metabolizing paliperidone, there is no evidence that it has a significant role.
Dosing and administration
PPM-3 is administered intramuscularly by a licensed health care professional, once every 3 months. The recommended dosage is based on the patient’s previous dosage of PPM-1 (Table 2).
See the prescribing information for administration instructions.
Efficacy
The efficacy of PPM-3 was assessed in a long-term double-blind, placebo-controlled, randomized-withdrawal trial in adult patients with acute symptoms (previously treated with an oral antipsychotic) or adequately treated with a LAIA, either PPM-1 or another agent; patients receiving PPM-1, 39 mg, injections were ineligible. All patients entering the study received PPM-1 in place of the next scheduled injection.
The study comprised 3 treatment periods:
• 17-Week flexible-dose open-label period with PPM-1 (ie, first part of a 29-week open-label stabilization phase): Patients (N = 506) received PPM-1 with a flexible dose based on symptom response, tolerability, and medication history. Patients had to achieve a Positive and Negative Syndrome Scale (PANSS) total score of <70 at Week 17 to enter the second phase.
• 12-Week open-label with PPM-3 (ie, second part of the 29-week open-label stabilization phase): Patients (N = 379) received a single injection of PPM-3 that was 3.5 times the last dose of PPM-1. Patients had to achieve a PANSS total score of <70 and ≤4 for 7 specific PANSS items.
• A variable length double-blind treatment period: Patients (N = 305) were randomized 1:1 to continue treatment with PPM-3 (273 mg, 410 mg, 546 mg, or 819 mg) or placebo (administered once every 12 weeks) until relapse, early withdrawal, or end of the study. The primary efficacy measure was time to first relapse, defined as psychiatric hospitalization, ≥25% increase or a 10-point increase in total PANSS score on 2 consecutive assessments, deliberate self-injury, violent behavior, suicidal or homicidal ideation, or a score of ≥5 (if the maximum baseline score was ≤3) or ≥6 (if the maximum baseline score was 4) on 2 consecutive assessments of the specific PANSS items.
Among the patients in the third treatment period, 23% of those who received placebo and 7.4% of those who received PPM-3 experienced a relapse event. The time to relapse was significantly longer for patients who received PPM-3 than for those who received placebo.
See Table 3 for adverse reactions reported in patients who received PPM-3 and those taking placebo in the study.
Contraindications
Allergic reactions. Patients who have a hypersensitivity to paliperidone, risperidone, or their components should not receive PPM-3. Anaphylactic reactions have been reported in patients who previously tolerated risperidone or oral paliperidone, which could be significant because the drug is slowly released over 3 months. Other adverse reactions, including angioedema, ileus, swollen tongue, thrombotic thrombocytopenic purpura, urinary incontinence, and urinary retention, were reported post-approval of paliperidone; however, these adverse effects were reported voluntarily from an unknown population size and, therefore, it is unknown whether there is a causal relationship to the drug or its frequency.
Drug-drug interactions. Although paliperidone is not expected to cause drug– drug interactions with medications that are metabolized by CYP isoenzymes, it is recommended to avoid using a strong inducer of CYP3A4 and/or P-glycoprotein.
Overdose. When assessing treatment options and recovery, consider the half-life of PPM-3 and its long-lasting effects.
Because PPM-3 is administered by a licensed health care provider, the potential for overdose is low. However, if overdose occurs, general treatment and management measures should be employed as with overdose of any drug and the possibility of multiple drug overdose should be considered. There is no specific antidote to paliperidone. Contact a certified poison control center for guidance on managing paliperidone and PPM-3 overdose. Generally, management consists of supportive care.
Black-box warning in dementia. As with all atypical antipsychotics, the black-box warning for PPM-3 states that it is not approved for, and should not be used in, patients with dementia-related psychosis. An analysis of placebo-controlled studies revealed that patients taking an antipsychotic had (1) 1.6 to 1.7 times the risk of death than those who received placebo and (2) a higher incidence of cerebrovascular adverse reactions.
Adverse reactions
The safety profile of PPM-3 is similar to that of PPM-1. The most common adverse reactions are:
• reaction at the injection site
• weight gain
• headache
• upper respiratory tract infection
• akathisia
• parkinsonism.
See the full prescribing information for a complete list of adverse effects.
Related Resources
• Sedky K, Nazir R, Lindenmayer JP, et al. Paliperidone palmitate: once monthly treatment option for schizophrenia. Current Psychiatry. 2010;9(3):48-49.
• Berwaerts J, Liu Y, Gopal S, et al. Efficacy and safety of the 3-month formulation of paliperidone palmitate vs placebo for relapse prevention of schizophrenia: a randomized clinical trial [published online March 29, 2015]. JAMA Psychiatry. doi: 10.1001/jamapsychiatry.2015.0241.
Drug Brand Names
Paliperidone palmitate • Invega Sustenna, Invega Trinza
Risperidone • Risperdal
Source: Invega Trinza [package insert]. Titusville, NJ: Janssen Pharmaceuticals, Inc; 2015.
A 3-month paliperidone palmitate (PPM-3) extended-release injectable suspension was approved by the FDA in May 2015 for preventing relapse among patients with schizophrenia, under the brand name Invega Trinza (Table 1). Administered 4 times a year, PPM-3 provides the longest interval of any approved long-acting injectable antipsychotic (LAIA). PPM-3 can be administered to patients with schizophrenia who have been taking 1-month paliperidone palmitate (PPM-1) extended-release injectable suspension (brand name, Invega Sustenna), once a month, for at least 4 months.
How it works
PPM-3 is a LAIA injection. Because of its low solubility in water, paliperidone palmitate dissolves slowly once injected before being hydrolyzed as paliperidone and absorbed into the bloodstream. From time of release on Day 1, PPM-3 remains active for as long 18 months.
PPM-3 reaches a maximum plasma concentration between Day 30 and Day 33. In clinical trials, PPM-3 had a median half-life of 84 to 95 days when injected into the deltoid muscle and a median half-life of 118 to 139 days when injected into the gluteal muscle.
Paliperidone is not extensively metabolized in the liver. Although results of a study suggest that cytochrome P450 (CYP) 2D6 and CYP3A4 might play a role in metabolizing paliperidone, there is no evidence that it has a significant role.
Dosing and administration
PPM-3 is administered intramuscularly by a licensed health care professional, once every 3 months. The recommended dosage is based on the patient’s previous dosage of PPM-1 (Table 2).
See the prescribing information for administration instructions.
Efficacy
The efficacy of PPM-3 was assessed in a long-term double-blind, placebo-controlled, randomized-withdrawal trial in adult patients with acute symptoms (previously treated with an oral antipsychotic) or adequately treated with a LAIA, either PPM-1 or another agent; patients receiving PPM-1, 39 mg, injections were ineligible. All patients entering the study received PPM-1 in place of the next scheduled injection.
The study comprised 3 treatment periods:
• 17-Week flexible-dose open-label period with PPM-1 (ie, first part of a 29-week open-label stabilization phase): Patients (N = 506) received PPM-1 with a flexible dose based on symptom response, tolerability, and medication history. Patients had to achieve a Positive and Negative Syndrome Scale (PANSS) total score of <70 at Week 17 to enter the second phase.
• 12-Week open-label with PPM-3 (ie, second part of the 29-week open-label stabilization phase): Patients (N = 379) received a single injection of PPM-3 that was 3.5 times the last dose of PPM-1. Patients had to achieve a PANSS total score of <70 and ≤4 for 7 specific PANSS items.
• A variable length double-blind treatment period: Patients (N = 305) were randomized 1:1 to continue treatment with PPM-3 (273 mg, 410 mg, 546 mg, or 819 mg) or placebo (administered once every 12 weeks) until relapse, early withdrawal, or end of the study. The primary efficacy measure was time to first relapse, defined as psychiatric hospitalization, ≥25% increase or a 10-point increase in total PANSS score on 2 consecutive assessments, deliberate self-injury, violent behavior, suicidal or homicidal ideation, or a score of ≥5 (if the maximum baseline score was ≤3) or ≥6 (if the maximum baseline score was 4) on 2 consecutive assessments of the specific PANSS items.
Among the patients in the third treatment period, 23% of those who received placebo and 7.4% of those who received PPM-3 experienced a relapse event. The time to relapse was significantly longer for patients who received PPM-3 than for those who received placebo.
See Table 3 for adverse reactions reported in patients who received PPM-3 and those taking placebo in the study.
Contraindications
Allergic reactions. Patients who have a hypersensitivity to paliperidone, risperidone, or their components should not receive PPM-3. Anaphylactic reactions have been reported in patients who previously tolerated risperidone or oral paliperidone, which could be significant because the drug is slowly released over 3 months. Other adverse reactions, including angioedema, ileus, swollen tongue, thrombotic thrombocytopenic purpura, urinary incontinence, and urinary retention, were reported post-approval of paliperidone; however, these adverse effects were reported voluntarily from an unknown population size and, therefore, it is unknown whether there is a causal relationship to the drug or its frequency.
Drug-drug interactions. Although paliperidone is not expected to cause drug– drug interactions with medications that are metabolized by CYP isoenzymes, it is recommended to avoid using a strong inducer of CYP3A4 and/or P-glycoprotein.
Overdose. When assessing treatment options and recovery, consider the half-life of PPM-3 and its long-lasting effects.
Because PPM-3 is administered by a licensed health care provider, the potential for overdose is low. However, if overdose occurs, general treatment and management measures should be employed as with overdose of any drug and the possibility of multiple drug overdose should be considered. There is no specific antidote to paliperidone. Contact a certified poison control center for guidance on managing paliperidone and PPM-3 overdose. Generally, management consists of supportive care.
Black-box warning in dementia. As with all atypical antipsychotics, the black-box warning for PPM-3 states that it is not approved for, and should not be used in, patients with dementia-related psychosis. An analysis of placebo-controlled studies revealed that patients taking an antipsychotic had (1) 1.6 to 1.7 times the risk of death than those who received placebo and (2) a higher incidence of cerebrovascular adverse reactions.
Adverse reactions
The safety profile of PPM-3 is similar to that of PPM-1. The most common adverse reactions are:
• reaction at the injection site
• weight gain
• headache
• upper respiratory tract infection
• akathisia
• parkinsonism.
See the full prescribing information for a complete list of adverse effects.
Related Resources
• Sedky K, Nazir R, Lindenmayer JP, et al. Paliperidone palmitate: once monthly treatment option for schizophrenia. Current Psychiatry. 2010;9(3):48-49.
• Berwaerts J, Liu Y, Gopal S, et al. Efficacy and safety of the 3-month formulation of paliperidone palmitate vs placebo for relapse prevention of schizophrenia: a randomized clinical trial [published online March 29, 2015]. JAMA Psychiatry. doi: 10.1001/jamapsychiatry.2015.0241.
Drug Brand Names
Paliperidone palmitate • Invega Sustenna, Invega Trinza
Risperidone • Risperdal
A 3-month paliperidone palmitate (PPM-3) extended-release injectable suspension was approved by the FDA in May 2015 for preventing relapse among patients with schizophrenia, under the brand name Invega Trinza (Table 1). Administered 4 times a year, PPM-3 provides the longest interval of any approved long-acting injectable antipsychotic (LAIA). PPM-3 can be administered to patients with schizophrenia who have been taking 1-month paliperidone palmitate (PPM-1) extended-release injectable suspension (brand name, Invega Sustenna), once a month, for at least 4 months.
How it works
PPM-3 is a LAIA injection. Because of its low solubility in water, paliperidone palmitate dissolves slowly once injected before being hydrolyzed as paliperidone and absorbed into the bloodstream. From time of release on Day 1, PPM-3 remains active for as long 18 months.
PPM-3 reaches a maximum plasma concentration between Day 30 and Day 33. In clinical trials, PPM-3 had a median half-life of 84 to 95 days when injected into the deltoid muscle and a median half-life of 118 to 139 days when injected into the gluteal muscle.
Paliperidone is not extensively metabolized in the liver. Although results of a study suggest that cytochrome P450 (CYP) 2D6 and CYP3A4 might play a role in metabolizing paliperidone, there is no evidence that it has a significant role.
Dosing and administration
PPM-3 is administered intramuscularly by a licensed health care professional, once every 3 months. The recommended dosage is based on the patient’s previous dosage of PPM-1 (Table 2).
See the prescribing information for administration instructions.
Efficacy
The efficacy of PPM-3 was assessed in a long-term double-blind, placebo-controlled, randomized-withdrawal trial in adult patients with acute symptoms (previously treated with an oral antipsychotic) or adequately treated with a LAIA, either PPM-1 or another agent; patients receiving PPM-1, 39 mg, injections were ineligible. All patients entering the study received PPM-1 in place of the next scheduled injection.
The study comprised 3 treatment periods:
• 17-Week flexible-dose open-label period with PPM-1 (ie, first part of a 29-week open-label stabilization phase): Patients (N = 506) received PPM-1 with a flexible dose based on symptom response, tolerability, and medication history. Patients had to achieve a Positive and Negative Syndrome Scale (PANSS) total score of <70 at Week 17 to enter the second phase.
• 12-Week open-label with PPM-3 (ie, second part of the 29-week open-label stabilization phase): Patients (N = 379) received a single injection of PPM-3 that was 3.5 times the last dose of PPM-1. Patients had to achieve a PANSS total score of <70 and ≤4 for 7 specific PANSS items.
• A variable length double-blind treatment period: Patients (N = 305) were randomized 1:1 to continue treatment with PPM-3 (273 mg, 410 mg, 546 mg, or 819 mg) or placebo (administered once every 12 weeks) until relapse, early withdrawal, or end of the study. The primary efficacy measure was time to first relapse, defined as psychiatric hospitalization, ≥25% increase or a 10-point increase in total PANSS score on 2 consecutive assessments, deliberate self-injury, violent behavior, suicidal or homicidal ideation, or a score of ≥5 (if the maximum baseline score was ≤3) or ≥6 (if the maximum baseline score was 4) on 2 consecutive assessments of the specific PANSS items.
Among the patients in the third treatment period, 23% of those who received placebo and 7.4% of those who received PPM-3 experienced a relapse event. The time to relapse was significantly longer for patients who received PPM-3 than for those who received placebo.
See Table 3 for adverse reactions reported in patients who received PPM-3 and those taking placebo in the study.
Contraindications
Allergic reactions. Patients who have a hypersensitivity to paliperidone, risperidone, or their components should not receive PPM-3. Anaphylactic reactions have been reported in patients who previously tolerated risperidone or oral paliperidone, which could be significant because the drug is slowly released over 3 months. Other adverse reactions, including angioedema, ileus, swollen tongue, thrombotic thrombocytopenic purpura, urinary incontinence, and urinary retention, were reported post-approval of paliperidone; however, these adverse effects were reported voluntarily from an unknown population size and, therefore, it is unknown whether there is a causal relationship to the drug or its frequency.
Drug-drug interactions. Although paliperidone is not expected to cause drug– drug interactions with medications that are metabolized by CYP isoenzymes, it is recommended to avoid using a strong inducer of CYP3A4 and/or P-glycoprotein.
Overdose. When assessing treatment options and recovery, consider the half-life of PPM-3 and its long-lasting effects.
Because PPM-3 is administered by a licensed health care provider, the potential for overdose is low. However, if overdose occurs, general treatment and management measures should be employed as with overdose of any drug and the possibility of multiple drug overdose should be considered. There is no specific antidote to paliperidone. Contact a certified poison control center for guidance on managing paliperidone and PPM-3 overdose. Generally, management consists of supportive care.
Black-box warning in dementia. As with all atypical antipsychotics, the black-box warning for PPM-3 states that it is not approved for, and should not be used in, patients with dementia-related psychosis. An analysis of placebo-controlled studies revealed that patients taking an antipsychotic had (1) 1.6 to 1.7 times the risk of death than those who received placebo and (2) a higher incidence of cerebrovascular adverse reactions.
Adverse reactions
The safety profile of PPM-3 is similar to that of PPM-1. The most common adverse reactions are:
• reaction at the injection site
• weight gain
• headache
• upper respiratory tract infection
• akathisia
• parkinsonism.
See the full prescribing information for a complete list of adverse effects.
Related Resources
• Sedky K, Nazir R, Lindenmayer JP, et al. Paliperidone palmitate: once monthly treatment option for schizophrenia. Current Psychiatry. 2010;9(3):48-49.
• Berwaerts J, Liu Y, Gopal S, et al. Efficacy and safety of the 3-month formulation of paliperidone palmitate vs placebo for relapse prevention of schizophrenia: a randomized clinical trial [published online March 29, 2015]. JAMA Psychiatry. doi: 10.1001/jamapsychiatry.2015.0241.
Drug Brand Names
Paliperidone palmitate • Invega Sustenna, Invega Trinza
Risperidone • Risperdal
Source: Invega Trinza [package insert]. Titusville, NJ: Janssen Pharmaceuticals, Inc; 2015.
Source: Invega Trinza [package insert]. Titusville, NJ: Janssen Pharmaceuticals, Inc; 2015.
Head pain and psychiatric illness: Applying the biopsychosocial model to care
More than 45% of people worldwide suffer from headache at some point in their life.1 Head pain can lead to disability and functional decline, yet headache disorders often are underdiagnosed and poorly assessed. For example, 60% of migraine and tension-type headaches go undiagnosed and 50% of persons suffering from migraine have severe functional disability or require bed rest.2-4
Because head pain can be associated with secondary medical and psychiatric conditions, diagnosis can be challenging. This article reviews the medical and psychological aspects of major headaches and assists with clinical assessment. We present clinical interviewing tools and a diagram to enhance focused, efficient assessment and inform treatment plans.
Classification of headache
Headache is a common complaint, yet it is often underdiagnosed and ineffectively treated. The World Health Organization estimates that, globally, 50% of people with headache self-treat their pain.5 The International Headache Society classifies headache as primary or secondary; approximately 90% of complaints are from primary headache.6
Assessment and diagnosis of headache can be complex because of overlapping, subjective symptoms. It is important to have a general understanding of primary and secondary causes of headache so that interrelated symptoms do not obscure the most accurate diagnosis and effective treatment course. Although most headache complaints are benign, ruling out secondary causes helps gauge the likelihood of developing severe sequelae from underlying pathology.
By definition, primary headaches are idiopathic and commonly include migraine, tension-type, cluster, and hemicrania continua headache. Secondary headaches have an underlying pathology, which could improve by targeting the disorder. Common secondary causes of headache include:
• trauma
• vascular abnormalities
• structural abnormalities
• chemical (including medications)
• inflammation or infection
• metabolic conditions
• diseases of the neck and pericranial and intracranial structures
• psychiatric conditions.
Table 1 illustrates common causes of head pain. More definitive criteria for symptoms and diagnosis can be found in the International Classification of Headache Disorders.7
Primary headache
Tension-type is the most common primary headache, accounting for more than one-half of all headaches.7 Patients usually describe a tight pain in a bilateral band-like distribution, which could be caused by sustained neck muscle contraction. Pain usually builds in intensity and can last 30 minutes to several days. There is a well-established association between emotional stress or depression and the development of tension-type headaches.8
Migraine typically causes pulsating pain in a localized area of the head that lasts as long as 72 hours and can be associated with nausea, vomiting, photophobia, phono-phobia, and aura. Patients report varying precipitating factors but commonly cite certain foods, menstruation, and sleep deprivation. Although rare, migraine with aura has been linked to ischemic stroke; most cases have been reported in female smokers and oral contraceptive users age <45.9
Because migraines can be debilitating, some patients—typically those with ≥4 attacks a month—opt for prophylactic medication. Effective prophylactics include amitriptyline, propranolol, divalproex sodium, and topiramate, which should be monitored closely and given a trial for several months before switching to another drug. Commonly used abortive treatments include triptans and anti-emetics such as metoclopramide.
Meperidine and ketorolac are popular second-line agents for migraine. Botulinum toxin A also has been used in severe cases to reduce the number of headache days in chronic migraine patients.6
Cluster headache is rare, but typically exhibits repeated burning and intense unilateral periorbital or retro-orbital pain that lasts 15 minutes to 3 hours over several weeks. Men are predominantly affected. Cluster headaches typically improve with oxygen treatment.
Biopsychosocial model of head pain
The biomedical model has helped iden tify pathophysiological pain mechanisms and pharmacotherapeutic agents for headache. However, during assessment, limiting one’s attention to the linear relationship between pathology, mechanism of action, and pain oversimplifies common questions clinicians face when assessing chronic head pain.
Advancements in the last 3 decades have expanded the conceptualization of head pain to integrate sociocultural, environmental, behavioral, affective, cognitive, and biological variables—otherwise known as the biopsychosocial model.10,11 The biopsychosocial model is a multidimensional theory that helps answer difficult clinical assessment questions and complex patient presentations (Table 2).10-13 Many unusual responses to pain treatment, questionable validity of pain behavior, and disproportionate pain perception and functional decline are explained by non-pathophysiological and non-biomechanical models.
Psychiatric comorbidity and head pain
Psychiatric conditions are highly prevalent among persons with primary headache. Verri et al14 found that 90% of chronic daily headache patients had ≥1 psychiatric condition; depression and anxiety were most common. Of concern, 1 study found that headache is associated with increased frequency of suicidal ideation among patients with chronic pain.15 It is critical for clinicians to screen for psychiatric comorbidities in patients with chronic headache. Conversely, clinicians might want to screen for headache in their patients with psychiatric illness.
Migraine. Mood disorders are common among patients who suffer from migraine. The rate of depression is 2 to 4 times higher in those with migraine compared with healthy controls.16,17 In a large-scale study, patients with migraine had a 1.9-fold higher risk (compared with controls) of having a comorbid depressive episode; a 2-fold higher risk of manic episodes; and a 3-fold higher risk of both mania and depression.18 In a study of 62 inpatients, Fasmer19 reported that 46% of patients with unipolar depression and 44% of patients with bipolar disorder experienced migraine (77% of the bipolar disorder patients with migraine had bipolar II disorder). Patients with migraine are at increased risk of suicide attempts (odds ratio 4.3; 95% CI, 1.2-15.7).20
Tension-type headache. The relationship between psychiatric comorbidity in tension-type headache is well established. In contrast to what is seen with migraines, Puca et al21 found a higher prevalence of anxiety disorders (52.5%) than depressive disorders (36.4%) in patients with tension-type headache. Generalized anxiety disorder was one of the most prevalent anxiety conditions (83.3%), and dysthymia was the most prevalent mood disorder (45.6%). In the same study, 21.7% of patients were found to have a comorbid somatoform disorder.21
Emotional and cognitive factors can co-occur in patients with tension-type headache and a comorbid psychiatric condition. For example, difficulty identifying or recognizing emotions—commonly referred to as alexithymia—has been linked to tension-type headache.22 Additionally, maladaptive cognitive appraisal of stress is more common among patients with tension-type headache when compared with those without headaches.23 Being mindful of and recognizing these co-occurring emotional and cognitive factors will help clinicians construct a more accurate assessment and effective behavioral treatment plan.
Clinical assessment with a useful mnemonic
Clinical assessment of psychiatric illness is essential when evaluating chronic pain patients. Using the acronym AMPS (Anxiety, Mood, Psychosis, and Substance use disorders) (Table 3) is an efficient way for the clinician to ask pertinent questions regarding common psychiatric conditions that could have a direct effect on chronic pain.24 Head pain can be more intense when combined with untreated anxiety, depression, psychosis, or a substance use disorder. Untreated anxiety, for example, can amplify sympathetic response to pain and complicate treatment.
Investigating head pain patients for an underlying mood disorder is essential to providing successful treatment. Consider:
• starting psychotherapy modalities that address both pain and psychiatric illness, such as cognitive-behavioral therapy (CBT)
• reframing unhelpful pain beliefs
• managing activity-rest levels
• biofeedback
• supportive group therapy
• reducing family members’ reinforcement of the patient’s pain behavior or sick role.25
Assessing for somatic symptom disorders
In addition to using the AMPS approach for psychiatric assessment, clinicians should evaluate for somatization, which can present as head pain. Somatic symptom disorders (SSD) are a class of conditions that are impacted by affective, cognitive, and reinforcing factors that might or might not be consciously or intentionally produced. Patients with an SSD have somatic symptoms that are distressing or cause significant disruption of daily life because of excessive thoughts, feelings, or behaviors related to the somatic symptoms, for ≥6 months. The Figure outlines SSD, related conditions, and their respective prominent symptoms to assist in the differential diagnosis.26
Note that some headache conditions present with severe distress because of their abrupt onset and severity of symptoms (eg, cluster headaches). Therefore, the expectation and likelihood of psychological disturbance should be factored into a diagnosis of SSD and related conditions as seen in the Figure.
Secondary factors of unusual pain behavior or treatment response. The role of thoughts, affect, and behaviors is clinically meaningful in understanding SSD and similar conditions. Specific questions about cultural beliefs and rituals as they relate to exacerbations of head pain are of value. Table 413,27 lists behavioral, cognitive, and affective dimensions of head pain using the biopsychosocial model, and further clarifies common questions that arise with unusual pain response and complex patient presentations, which were outlined in the beginning of the article.
Because depression and anxiety can be comorbid with head pain, it is important to recognize psychological factors that contribute to pain perception. Indifference or denial of emotional stress as a result of severe pain and disability can imply a somatization process, which could suggest emotional disconnection or dissociation from somatic functioning.28 This finding can be a component of alexithymia, in which a person is disconnected from emotions and how emotions impact the body. Therefore, recognizing alexithymia assists in identifying psychological factors when patients deny mood symptoms, particularly in tension-type headache.
Functional assessment to rule out the disproportional impact of pain on daily activities is helpful in understanding the somatization process. Neurocognitive functioning should be assessed, particularly because frontal and subcortical dysregulation has been observed in head pain sufferers.29,30 Patients with cognitive changes as a result of a medical illness (eg, stroke, head concussion, brain tumor, or seizures) are especially at risk for neurocognitive dysfunction.
Neuropsychological assessment can be useful, not only to assess neurocognitive functioning (eg, Repeated Battery for the Assessment of Neuropsychological Status) but to identify objective test profiles associated with altered motivation (eg, Rey 15-Item Test, Minnesota Multiphasic Personality Inventory-2-Restructured Form F Scale, Personality Assessment Inventory [PAI] Negative Impression Management) and somatization processes (eg, PAI Somatization Scale). These instruments help to identify the severity of psychiatric and neurocognitive symptoms by comparing scores to normative (eg, healthy control group), clinical (eg, somatization, traumatic brain injury, mild cognitive impairment), and altered motivation (eg, persons instructed to exaggerate symptoms) databases.
If the clinician pursues neurocognitive assessment, direct referral to a neuropsychologist, referral to neurologist, or administration of a cognitive screening tool such as the Montreal Cognitive Assessment, Saint Louis University Mental Status, or Cognitive Log is recommended. If the cognitive screening is positive, next steps include: referring for full neuropsychological assessment, which includes complete cognitive and motor testing, personality testing, and integration of neuroimaging data (eg, MRI, CT scans, and/or EEG).
Assessing the patients’ self-talk or thought patterns as they describe their head pain will help clinicians understand belief systems that may be distorting the reality of the medical condition. For example, a patient might report that “my pain feels like someone is hitting me with an axe”; this is a catastrophic thought that can distort the clarity and perceptibility of pain. Encouraging patients to monitor and analyze their anxiety and associated negative thoughts is an important strategy for improving mood and decreasing somatization. Recording daily thoughts and CBT can help the patient identify and appropriately address his (her) cognitive distortions and futile thinking.
When implementing a treatment plan for somatization disorder, we propose the mnemonic device CARE MD:
• CBT
• Assess (by ruling out a medical cause for somatic complaints)
• Regular visits
• Empathy
• Med-psych interface (help the patient connect physical complaints and emotional stressors)
• Do no harm.
Clinical recommendations
Chronic head pain can be debilitating; psychodiagnostic assessment should therefore be considered an important part of the diagnosis and treatment plan. After ruling out common and emergent primary or secondary causes of head pain, consider psychiatric comorbidities. Depression and anxiety have a strong bidirectional relationship with chronic headache; therefore, we suggest evaluating patients with the intention of alleviating both psychiatric symptoms and head pain.
It is important to diligently assess for common psychiatric comorbidities; using the AMPS and CARE MD mnemonics, along with screening for somatization disorders, is an easy and effective way to evaluate for relevant psychiatric conditions associated with chronic head pain. Because many patients have unusual and complicated responses to head pain that can be explained by non-pathophysiological and non-biomechanical models, using the biopsychosocial model is essential for effective diagnosis, assessment, and treatment. Abortive and prophylactic medical interventions, as well as behavioral, sociocultural, and cognitive assessment, are vital to a comprehensive treatment approach.
Bottom Line
The psychodiagnostic assessment can help the astute clinician identify comorbid psychiatric conditions, psychological factors, and somatic symptoms to develop a comprehensive biopsychosocial treatment plan for patients with chronic head pain. Rule out primary and secondary causes of pain and screen for somatization disorders. Consider medication and psychotherapeutic treatment options.
Related Resources
• Pompili M, Di Cosimo D, Innamorati M, et al. Psychiatric comorbidity in patients with chronic daily headache and migraine: a selective overview including personality traits and suicide risk. J Headache Pain. 2009;10(4):283-290.
• Sinclair AJ, Sturrock A, Davies B, et al. Headache management: pharmacological approaches [published online July 3, 2015]. Pract Neurol. doi: 10.1136/practneurol-2015-001167.
Drug Brand Names
Amitriptyline • Elavil Meperidine • Demerol
Botulinum toxin A • Botox Metoclopramide • Reglan
Divalproex sodium • Depakote Propranolol • Inderide
Ketorolac • Toradol Topiramate • Topamax
Disclosures
The authors report no financial relationships with any company whose products are mentioned in this article or with manufacturers of competing products.
1. Stovner LJ, Hagen K, Jensen R, et al. The global burden of headache: a documentation of headache prevalence and disability worldwide. Cephalalgia. 2007;27(3):193-210.
2. Lipton RB, Stewart WF, Diamond S, et al. Prevalence and burden of migraine in the United States: data from the American Migraine Study II. Headache. 2001;41(7):646-657.
3. The World Health Report 2001: Mental health: new understanding new hope. Geneva, Switzerland: World Health Organization; 2001.
4. World Health Organization. The global burden of disease: 2004 update. http://www.who.int/healthinfo/global_burden_ disease/GBD_report_2004update_full.pdf. Published 2004. Accessed July 31, 2015.
5. World Health Organization. Headache disorders. http:// www.who.int/mediacentre/factsheets/fs277/en/. Published October 2012. Accessed July 31, 2015.
6. Clinch C. Evaluation & management of headache. In: South- Paul JE, Matheny SC, Lewis EL. eds. Current diagnosis & treatment in family medicine, 4th ed. New York, NY: McGraw-Hill; 2015:293-297.
7. Headache Classification Committee of the International Headache Society (IHS). The International Classification of Headache Disorders, 3rd edition (beta version). Cephalalgia. 2013;33(9):629-808.
8. Mawet J, Kurth T, Ayata C. Migraine and stroke: in search of shared mechanisms. Cephalalgia. 2015;35(2):165-181.
9. Janke EA, Holroyd KA, Romanek K. Depression increases onset of tension-type headache following laboratory stress. Pain. 2004;111(3):230-238.
10. Engel GL. The need for a new medical model: a challenge for biomedicine. Science. 1977;196(4286):129-136.
11. Engel GL. The clinical application of the biopsychosocial model. Am J Psychiatry. 1980;137(5):535-544.
12. Turk DC, Flor H. Chronic pain: a biobehavioral perspective. In: Gatchel RJ, Turk DC, eds. Psychosocial factors in pain: critical perspectives. New York, NY: Guilford Press; 1999:18-34.
13. Andrasik F, Flor H, Turk DC. An expanded view of psychological aspects in head pain: the biopsychosocial model. Neurol Sci. 2005;26(suppl 2):s87-s91.
14. Verri AP, Proietti Cecchini A, Galli C, et al. Psychiatric comorbidity in chronic daily headache. Cephalalgia. 1998; 18(suppl 21):45-49.
15. Ilgen MA, Zivin K, McCammon RJ, et al. Pain and suicidal thoughts, plans and attempts in the United States. Gen Hosp Psychiatry. 2008;30(6):521-527.
16. Kowacs F, Socal MP, Ziomkowski SC, et al. Symptoms of depression and anxiety, and screening for mental disorders in migrainous patients. Cephalalgia. 2003;23(2):79-89.
17. Hamelsky SW, Lipton RB. Psychiatric comorbidity of migraine. Headache. 2006;46(9):1327-1333.
18. Nguyen TV, Low NC. Comorbidity of migraine and mood episodes in a nationally representative population-based sample. Headache. 2013;53(3):498-506.
19. Fasmer OB. The prevalence of migraine in patients with bipolar and unipolar affective disorders. Cephalalgia. 2001; 21(9):894-899.
20. Breslau N. Migraine, suicidal ideation, and suicide attempts. Neurology. 1992;42(2):392-395.
21. Puca F, Genco S, Prudenzano MP, et al. Psychiatric comorbidity and psychosocial stress in patients with tension-type headache from headache centers in Italy. Cephalalgia. 1999;19(3):159-164.
22. Yücel B, Kora K, Ozyalçín S, et al. Depression, automatic thoughts, alexithymia, and assertiveness in patients with tension-type headache. Headache. 2002;42(3):194-199.
23. Wittrock DA, Myers TC. The comparison of individuals with recurrent tension-type headache and headache-free controls in physiological response, appraisal, and coping with stressors: a review of the literature. Ann Behav Med. 1998;20(2):118-134.
24. Onate J, Xiong G, McCarron R. The primary care psychiatric interview. In: McCarron R, Xiong G, Bourgeois J. Lippincott’s primary care psychiatry. Philadelphia, PA: Lippincott, Williams and Wilkins; 2009:3-4.
25. Songer D. Psychotherapeutic approaches in the treatment of pain. Psychiatry (Edgmont). 2005;2(5):19-24.
26. Diagnostic and statistical manual of mental disorders, 5th ed. Washington, DC: American Psychiatric Association; 2013.
27. Hashmi JA, Baliki MN, Huang L, et al. Shape shifting pain: chronification of back pain shifts brain representation from nociceptive to emotional circuits. Brain. 2013;136(pt 9):2751-2768.
28. Packard RC. Conversion headache. Headache. 1980;20(5):266-268.
29. Mongini F, Keller R, Deregibus A, et al. Frontal lobe dysfunction in patients with chronic migraine: a clinical-neuropsychological study. Psychiatry Res. 2005;133(1):101-106.
30. Martelli MF, Grayson RL, Zasler ND. Posttraumatic headache: neuropsychological and psychological effects and treatment implications. J Head Trauma Rehabil. 1999;14(1):49-69.
More than 45% of people worldwide suffer from headache at some point in their life.1 Head pain can lead to disability and functional decline, yet headache disorders often are underdiagnosed and poorly assessed. For example, 60% of migraine and tension-type headaches go undiagnosed and 50% of persons suffering from migraine have severe functional disability or require bed rest.2-4
Because head pain can be associated with secondary medical and psychiatric conditions, diagnosis can be challenging. This article reviews the medical and psychological aspects of major headaches and assists with clinical assessment. We present clinical interviewing tools and a diagram to enhance focused, efficient assessment and inform treatment plans.
Classification of headache
Headache is a common complaint, yet it is often underdiagnosed and ineffectively treated. The World Health Organization estimates that, globally, 50% of people with headache self-treat their pain.5 The International Headache Society classifies headache as primary or secondary; approximately 90% of complaints are from primary headache.6
Assessment and diagnosis of headache can be complex because of overlapping, subjective symptoms. It is important to have a general understanding of primary and secondary causes of headache so that interrelated symptoms do not obscure the most accurate diagnosis and effective treatment course. Although most headache complaints are benign, ruling out secondary causes helps gauge the likelihood of developing severe sequelae from underlying pathology.
By definition, primary headaches are idiopathic and commonly include migraine, tension-type, cluster, and hemicrania continua headache. Secondary headaches have an underlying pathology, which could improve by targeting the disorder. Common secondary causes of headache include:
• trauma
• vascular abnormalities
• structural abnormalities
• chemical (including medications)
• inflammation or infection
• metabolic conditions
• diseases of the neck and pericranial and intracranial structures
• psychiatric conditions.
Table 1 illustrates common causes of head pain. More definitive criteria for symptoms and diagnosis can be found in the International Classification of Headache Disorders.7
Primary headache
Tension-type is the most common primary headache, accounting for more than one-half of all headaches.7 Patients usually describe a tight pain in a bilateral band-like distribution, which could be caused by sustained neck muscle contraction. Pain usually builds in intensity and can last 30 minutes to several days. There is a well-established association between emotional stress or depression and the development of tension-type headaches.8
Migraine typically causes pulsating pain in a localized area of the head that lasts as long as 72 hours and can be associated with nausea, vomiting, photophobia, phono-phobia, and aura. Patients report varying precipitating factors but commonly cite certain foods, menstruation, and sleep deprivation. Although rare, migraine with aura has been linked to ischemic stroke; most cases have been reported in female smokers and oral contraceptive users age <45.9
Because migraines can be debilitating, some patients—typically those with ≥4 attacks a month—opt for prophylactic medication. Effective prophylactics include amitriptyline, propranolol, divalproex sodium, and topiramate, which should be monitored closely and given a trial for several months before switching to another drug. Commonly used abortive treatments include triptans and anti-emetics such as metoclopramide.
Meperidine and ketorolac are popular second-line agents for migraine. Botulinum toxin A also has been used in severe cases to reduce the number of headache days in chronic migraine patients.6
Cluster headache is rare, but typically exhibits repeated burning and intense unilateral periorbital or retro-orbital pain that lasts 15 minutes to 3 hours over several weeks. Men are predominantly affected. Cluster headaches typically improve with oxygen treatment.
Biopsychosocial model of head pain
The biomedical model has helped iden tify pathophysiological pain mechanisms and pharmacotherapeutic agents for headache. However, during assessment, limiting one’s attention to the linear relationship between pathology, mechanism of action, and pain oversimplifies common questions clinicians face when assessing chronic head pain.
Advancements in the last 3 decades have expanded the conceptualization of head pain to integrate sociocultural, environmental, behavioral, affective, cognitive, and biological variables—otherwise known as the biopsychosocial model.10,11 The biopsychosocial model is a multidimensional theory that helps answer difficult clinical assessment questions and complex patient presentations (Table 2).10-13 Many unusual responses to pain treatment, questionable validity of pain behavior, and disproportionate pain perception and functional decline are explained by non-pathophysiological and non-biomechanical models.
Psychiatric comorbidity and head pain
Psychiatric conditions are highly prevalent among persons with primary headache. Verri et al14 found that 90% of chronic daily headache patients had ≥1 psychiatric condition; depression and anxiety were most common. Of concern, 1 study found that headache is associated with increased frequency of suicidal ideation among patients with chronic pain.15 It is critical for clinicians to screen for psychiatric comorbidities in patients with chronic headache. Conversely, clinicians might want to screen for headache in their patients with psychiatric illness.
Migraine. Mood disorders are common among patients who suffer from migraine. The rate of depression is 2 to 4 times higher in those with migraine compared with healthy controls.16,17 In a large-scale study, patients with migraine had a 1.9-fold higher risk (compared with controls) of having a comorbid depressive episode; a 2-fold higher risk of manic episodes; and a 3-fold higher risk of both mania and depression.18 In a study of 62 inpatients, Fasmer19 reported that 46% of patients with unipolar depression and 44% of patients with bipolar disorder experienced migraine (77% of the bipolar disorder patients with migraine had bipolar II disorder). Patients with migraine are at increased risk of suicide attempts (odds ratio 4.3; 95% CI, 1.2-15.7).20
Tension-type headache. The relationship between psychiatric comorbidity in tension-type headache is well established. In contrast to what is seen with migraines, Puca et al21 found a higher prevalence of anxiety disorders (52.5%) than depressive disorders (36.4%) in patients with tension-type headache. Generalized anxiety disorder was one of the most prevalent anxiety conditions (83.3%), and dysthymia was the most prevalent mood disorder (45.6%). In the same study, 21.7% of patients were found to have a comorbid somatoform disorder.21
Emotional and cognitive factors can co-occur in patients with tension-type headache and a comorbid psychiatric condition. For example, difficulty identifying or recognizing emotions—commonly referred to as alexithymia—has been linked to tension-type headache.22 Additionally, maladaptive cognitive appraisal of stress is more common among patients with tension-type headache when compared with those without headaches.23 Being mindful of and recognizing these co-occurring emotional and cognitive factors will help clinicians construct a more accurate assessment and effective behavioral treatment plan.
Clinical assessment with a useful mnemonic
Clinical assessment of psychiatric illness is essential when evaluating chronic pain patients. Using the acronym AMPS (Anxiety, Mood, Psychosis, and Substance use disorders) (Table 3) is an efficient way for the clinician to ask pertinent questions regarding common psychiatric conditions that could have a direct effect on chronic pain.24 Head pain can be more intense when combined with untreated anxiety, depression, psychosis, or a substance use disorder. Untreated anxiety, for example, can amplify sympathetic response to pain and complicate treatment.
Investigating head pain patients for an underlying mood disorder is essential to providing successful treatment. Consider:
• starting psychotherapy modalities that address both pain and psychiatric illness, such as cognitive-behavioral therapy (CBT)
• reframing unhelpful pain beliefs
• managing activity-rest levels
• biofeedback
• supportive group therapy
• reducing family members’ reinforcement of the patient’s pain behavior or sick role.25
Assessing for somatic symptom disorders
In addition to using the AMPS approach for psychiatric assessment, clinicians should evaluate for somatization, which can present as head pain. Somatic symptom disorders (SSD) are a class of conditions that are impacted by affective, cognitive, and reinforcing factors that might or might not be consciously or intentionally produced. Patients with an SSD have somatic symptoms that are distressing or cause significant disruption of daily life because of excessive thoughts, feelings, or behaviors related to the somatic symptoms, for ≥6 months. The Figure outlines SSD, related conditions, and their respective prominent symptoms to assist in the differential diagnosis.26
Note that some headache conditions present with severe distress because of their abrupt onset and severity of symptoms (eg, cluster headaches). Therefore, the expectation and likelihood of psychological disturbance should be factored into a diagnosis of SSD and related conditions as seen in the Figure.
Secondary factors of unusual pain behavior or treatment response. The role of thoughts, affect, and behaviors is clinically meaningful in understanding SSD and similar conditions. Specific questions about cultural beliefs and rituals as they relate to exacerbations of head pain are of value. Table 413,27 lists behavioral, cognitive, and affective dimensions of head pain using the biopsychosocial model, and further clarifies common questions that arise with unusual pain response and complex patient presentations, which were outlined in the beginning of the article.
Because depression and anxiety can be comorbid with head pain, it is important to recognize psychological factors that contribute to pain perception. Indifference or denial of emotional stress as a result of severe pain and disability can imply a somatization process, which could suggest emotional disconnection or dissociation from somatic functioning.28 This finding can be a component of alexithymia, in which a person is disconnected from emotions and how emotions impact the body. Therefore, recognizing alexithymia assists in identifying psychological factors when patients deny mood symptoms, particularly in tension-type headache.
Functional assessment to rule out the disproportional impact of pain on daily activities is helpful in understanding the somatization process. Neurocognitive functioning should be assessed, particularly because frontal and subcortical dysregulation has been observed in head pain sufferers.29,30 Patients with cognitive changes as a result of a medical illness (eg, stroke, head concussion, brain tumor, or seizures) are especially at risk for neurocognitive dysfunction.
Neuropsychological assessment can be useful, not only to assess neurocognitive functioning (eg, Repeated Battery for the Assessment of Neuropsychological Status) but to identify objective test profiles associated with altered motivation (eg, Rey 15-Item Test, Minnesota Multiphasic Personality Inventory-2-Restructured Form F Scale, Personality Assessment Inventory [PAI] Negative Impression Management) and somatization processes (eg, PAI Somatization Scale). These instruments help to identify the severity of psychiatric and neurocognitive symptoms by comparing scores to normative (eg, healthy control group), clinical (eg, somatization, traumatic brain injury, mild cognitive impairment), and altered motivation (eg, persons instructed to exaggerate symptoms) databases.
If the clinician pursues neurocognitive assessment, direct referral to a neuropsychologist, referral to neurologist, or administration of a cognitive screening tool such as the Montreal Cognitive Assessment, Saint Louis University Mental Status, or Cognitive Log is recommended. If the cognitive screening is positive, next steps include: referring for full neuropsychological assessment, which includes complete cognitive and motor testing, personality testing, and integration of neuroimaging data (eg, MRI, CT scans, and/or EEG).
Assessing the patients’ self-talk or thought patterns as they describe their head pain will help clinicians understand belief systems that may be distorting the reality of the medical condition. For example, a patient might report that “my pain feels like someone is hitting me with an axe”; this is a catastrophic thought that can distort the clarity and perceptibility of pain. Encouraging patients to monitor and analyze their anxiety and associated negative thoughts is an important strategy for improving mood and decreasing somatization. Recording daily thoughts and CBT can help the patient identify and appropriately address his (her) cognitive distortions and futile thinking.
When implementing a treatment plan for somatization disorder, we propose the mnemonic device CARE MD:
• CBT
• Assess (by ruling out a medical cause for somatic complaints)
• Regular visits
• Empathy
• Med-psych interface (help the patient connect physical complaints and emotional stressors)
• Do no harm.
Clinical recommendations
Chronic head pain can be debilitating; psychodiagnostic assessment should therefore be considered an important part of the diagnosis and treatment plan. After ruling out common and emergent primary or secondary causes of head pain, consider psychiatric comorbidities. Depression and anxiety have a strong bidirectional relationship with chronic headache; therefore, we suggest evaluating patients with the intention of alleviating both psychiatric symptoms and head pain.
It is important to diligently assess for common psychiatric comorbidities; using the AMPS and CARE MD mnemonics, along with screening for somatization disorders, is an easy and effective way to evaluate for relevant psychiatric conditions associated with chronic head pain. Because many patients have unusual and complicated responses to head pain that can be explained by non-pathophysiological and non-biomechanical models, using the biopsychosocial model is essential for effective diagnosis, assessment, and treatment. Abortive and prophylactic medical interventions, as well as behavioral, sociocultural, and cognitive assessment, are vital to a comprehensive treatment approach.
Bottom Line
The psychodiagnostic assessment can help the astute clinician identify comorbid psychiatric conditions, psychological factors, and somatic symptoms to develop a comprehensive biopsychosocial treatment plan for patients with chronic head pain. Rule out primary and secondary causes of pain and screen for somatization disorders. Consider medication and psychotherapeutic treatment options.
Related Resources
• Pompili M, Di Cosimo D, Innamorati M, et al. Psychiatric comorbidity in patients with chronic daily headache and migraine: a selective overview including personality traits and suicide risk. J Headache Pain. 2009;10(4):283-290.
• Sinclair AJ, Sturrock A, Davies B, et al. Headache management: pharmacological approaches [published online July 3, 2015]. Pract Neurol. doi: 10.1136/practneurol-2015-001167.
Drug Brand Names
Amitriptyline • Elavil Meperidine • Demerol
Botulinum toxin A • Botox Metoclopramide • Reglan
Divalproex sodium • Depakote Propranolol • Inderide
Ketorolac • Toradol Topiramate • Topamax
Disclosures
The authors report no financial relationships with any company whose products are mentioned in this article or with manufacturers of competing products.
More than 45% of people worldwide suffer from headache at some point in their life.1 Head pain can lead to disability and functional decline, yet headache disorders often are underdiagnosed and poorly assessed. For example, 60% of migraine and tension-type headaches go undiagnosed and 50% of persons suffering from migraine have severe functional disability or require bed rest.2-4
Because head pain can be associated with secondary medical and psychiatric conditions, diagnosis can be challenging. This article reviews the medical and psychological aspects of major headaches and assists with clinical assessment. We present clinical interviewing tools and a diagram to enhance focused, efficient assessment and inform treatment plans.
Classification of headache
Headache is a common complaint, yet it is often underdiagnosed and ineffectively treated. The World Health Organization estimates that, globally, 50% of people with headache self-treat their pain.5 The International Headache Society classifies headache as primary or secondary; approximately 90% of complaints are from primary headache.6
Assessment and diagnosis of headache can be complex because of overlapping, subjective symptoms. It is important to have a general understanding of primary and secondary causes of headache so that interrelated symptoms do not obscure the most accurate diagnosis and effective treatment course. Although most headache complaints are benign, ruling out secondary causes helps gauge the likelihood of developing severe sequelae from underlying pathology.
By definition, primary headaches are idiopathic and commonly include migraine, tension-type, cluster, and hemicrania continua headache. Secondary headaches have an underlying pathology, which could improve by targeting the disorder. Common secondary causes of headache include:
• trauma
• vascular abnormalities
• structural abnormalities
• chemical (including medications)
• inflammation or infection
• metabolic conditions
• diseases of the neck and pericranial and intracranial structures
• psychiatric conditions.
Table 1 illustrates common causes of head pain. More definitive criteria for symptoms and diagnosis can be found in the International Classification of Headache Disorders.7
Primary headache
Tension-type is the most common primary headache, accounting for more than one-half of all headaches.7 Patients usually describe a tight pain in a bilateral band-like distribution, which could be caused by sustained neck muscle contraction. Pain usually builds in intensity and can last 30 minutes to several days. There is a well-established association between emotional stress or depression and the development of tension-type headaches.8
Migraine typically causes pulsating pain in a localized area of the head that lasts as long as 72 hours and can be associated with nausea, vomiting, photophobia, phono-phobia, and aura. Patients report varying precipitating factors but commonly cite certain foods, menstruation, and sleep deprivation. Although rare, migraine with aura has been linked to ischemic stroke; most cases have been reported in female smokers and oral contraceptive users age <45.9
Because migraines can be debilitating, some patients—typically those with ≥4 attacks a month—opt for prophylactic medication. Effective prophylactics include amitriptyline, propranolol, divalproex sodium, and topiramate, which should be monitored closely and given a trial for several months before switching to another drug. Commonly used abortive treatments include triptans and anti-emetics such as metoclopramide.
Meperidine and ketorolac are popular second-line agents for migraine. Botulinum toxin A also has been used in severe cases to reduce the number of headache days in chronic migraine patients.6
Cluster headache is rare, but typically exhibits repeated burning and intense unilateral periorbital or retro-orbital pain that lasts 15 minutes to 3 hours over several weeks. Men are predominantly affected. Cluster headaches typically improve with oxygen treatment.
Biopsychosocial model of head pain
The biomedical model has helped iden tify pathophysiological pain mechanisms and pharmacotherapeutic agents for headache. However, during assessment, limiting one’s attention to the linear relationship between pathology, mechanism of action, and pain oversimplifies common questions clinicians face when assessing chronic head pain.
Advancements in the last 3 decades have expanded the conceptualization of head pain to integrate sociocultural, environmental, behavioral, affective, cognitive, and biological variables—otherwise known as the biopsychosocial model.10,11 The biopsychosocial model is a multidimensional theory that helps answer difficult clinical assessment questions and complex patient presentations (Table 2).10-13 Many unusual responses to pain treatment, questionable validity of pain behavior, and disproportionate pain perception and functional decline are explained by non-pathophysiological and non-biomechanical models.
Psychiatric comorbidity and head pain
Psychiatric conditions are highly prevalent among persons with primary headache. Verri et al14 found that 90% of chronic daily headache patients had ≥1 psychiatric condition; depression and anxiety were most common. Of concern, 1 study found that headache is associated with increased frequency of suicidal ideation among patients with chronic pain.15 It is critical for clinicians to screen for psychiatric comorbidities in patients with chronic headache. Conversely, clinicians might want to screen for headache in their patients with psychiatric illness.
Migraine. Mood disorders are common among patients who suffer from migraine. The rate of depression is 2 to 4 times higher in those with migraine compared with healthy controls.16,17 In a large-scale study, patients with migraine had a 1.9-fold higher risk (compared with controls) of having a comorbid depressive episode; a 2-fold higher risk of manic episodes; and a 3-fold higher risk of both mania and depression.18 In a study of 62 inpatients, Fasmer19 reported that 46% of patients with unipolar depression and 44% of patients with bipolar disorder experienced migraine (77% of the bipolar disorder patients with migraine had bipolar II disorder). Patients with migraine are at increased risk of suicide attempts (odds ratio 4.3; 95% CI, 1.2-15.7).20
Tension-type headache. The relationship between psychiatric comorbidity in tension-type headache is well established. In contrast to what is seen with migraines, Puca et al21 found a higher prevalence of anxiety disorders (52.5%) than depressive disorders (36.4%) in patients with tension-type headache. Generalized anxiety disorder was one of the most prevalent anxiety conditions (83.3%), and dysthymia was the most prevalent mood disorder (45.6%). In the same study, 21.7% of patients were found to have a comorbid somatoform disorder.21
Emotional and cognitive factors can co-occur in patients with tension-type headache and a comorbid psychiatric condition. For example, difficulty identifying or recognizing emotions—commonly referred to as alexithymia—has been linked to tension-type headache.22 Additionally, maladaptive cognitive appraisal of stress is more common among patients with tension-type headache when compared with those without headaches.23 Being mindful of and recognizing these co-occurring emotional and cognitive factors will help clinicians construct a more accurate assessment and effective behavioral treatment plan.
Clinical assessment with a useful mnemonic
Clinical assessment of psychiatric illness is essential when evaluating chronic pain patients. Using the acronym AMPS (Anxiety, Mood, Psychosis, and Substance use disorders) (Table 3) is an efficient way for the clinician to ask pertinent questions regarding common psychiatric conditions that could have a direct effect on chronic pain.24 Head pain can be more intense when combined with untreated anxiety, depression, psychosis, or a substance use disorder. Untreated anxiety, for example, can amplify sympathetic response to pain and complicate treatment.
Investigating head pain patients for an underlying mood disorder is essential to providing successful treatment. Consider:
• starting psychotherapy modalities that address both pain and psychiatric illness, such as cognitive-behavioral therapy (CBT)
• reframing unhelpful pain beliefs
• managing activity-rest levels
• biofeedback
• supportive group therapy
• reducing family members’ reinforcement of the patient’s pain behavior or sick role.25
Assessing for somatic symptom disorders
In addition to using the AMPS approach for psychiatric assessment, clinicians should evaluate for somatization, which can present as head pain. Somatic symptom disorders (SSD) are a class of conditions that are impacted by affective, cognitive, and reinforcing factors that might or might not be consciously or intentionally produced. Patients with an SSD have somatic symptoms that are distressing or cause significant disruption of daily life because of excessive thoughts, feelings, or behaviors related to the somatic symptoms, for ≥6 months. The Figure outlines SSD, related conditions, and their respective prominent symptoms to assist in the differential diagnosis.26
Note that some headache conditions present with severe distress because of their abrupt onset and severity of symptoms (eg, cluster headaches). Therefore, the expectation and likelihood of psychological disturbance should be factored into a diagnosis of SSD and related conditions as seen in the Figure.
Secondary factors of unusual pain behavior or treatment response. The role of thoughts, affect, and behaviors is clinically meaningful in understanding SSD and similar conditions. Specific questions about cultural beliefs and rituals as they relate to exacerbations of head pain are of value. Table 413,27 lists behavioral, cognitive, and affective dimensions of head pain using the biopsychosocial model, and further clarifies common questions that arise with unusual pain response and complex patient presentations, which were outlined in the beginning of the article.
Because depression and anxiety can be comorbid with head pain, it is important to recognize psychological factors that contribute to pain perception. Indifference or denial of emotional stress as a result of severe pain and disability can imply a somatization process, which could suggest emotional disconnection or dissociation from somatic functioning.28 This finding can be a component of alexithymia, in which a person is disconnected from emotions and how emotions impact the body. Therefore, recognizing alexithymia assists in identifying psychological factors when patients deny mood symptoms, particularly in tension-type headache.
Functional assessment to rule out the disproportional impact of pain on daily activities is helpful in understanding the somatization process. Neurocognitive functioning should be assessed, particularly because frontal and subcortical dysregulation has been observed in head pain sufferers.29,30 Patients with cognitive changes as a result of a medical illness (eg, stroke, head concussion, brain tumor, or seizures) are especially at risk for neurocognitive dysfunction.
Neuropsychological assessment can be useful, not only to assess neurocognitive functioning (eg, Repeated Battery for the Assessment of Neuropsychological Status) but to identify objective test profiles associated with altered motivation (eg, Rey 15-Item Test, Minnesota Multiphasic Personality Inventory-2-Restructured Form F Scale, Personality Assessment Inventory [PAI] Negative Impression Management) and somatization processes (eg, PAI Somatization Scale). These instruments help to identify the severity of psychiatric and neurocognitive symptoms by comparing scores to normative (eg, healthy control group), clinical (eg, somatization, traumatic brain injury, mild cognitive impairment), and altered motivation (eg, persons instructed to exaggerate symptoms) databases.
If the clinician pursues neurocognitive assessment, direct referral to a neuropsychologist, referral to neurologist, or administration of a cognitive screening tool such as the Montreal Cognitive Assessment, Saint Louis University Mental Status, or Cognitive Log is recommended. If the cognitive screening is positive, next steps include: referring for full neuropsychological assessment, which includes complete cognitive and motor testing, personality testing, and integration of neuroimaging data (eg, MRI, CT scans, and/or EEG).
Assessing the patients’ self-talk or thought patterns as they describe their head pain will help clinicians understand belief systems that may be distorting the reality of the medical condition. For example, a patient might report that “my pain feels like someone is hitting me with an axe”; this is a catastrophic thought that can distort the clarity and perceptibility of pain. Encouraging patients to monitor and analyze their anxiety and associated negative thoughts is an important strategy for improving mood and decreasing somatization. Recording daily thoughts and CBT can help the patient identify and appropriately address his (her) cognitive distortions and futile thinking.
When implementing a treatment plan for somatization disorder, we propose the mnemonic device CARE MD:
• CBT
• Assess (by ruling out a medical cause for somatic complaints)
• Regular visits
• Empathy
• Med-psych interface (help the patient connect physical complaints and emotional stressors)
• Do no harm.
Clinical recommendations
Chronic head pain can be debilitating; psychodiagnostic assessment should therefore be considered an important part of the diagnosis and treatment plan. After ruling out common and emergent primary or secondary causes of head pain, consider psychiatric comorbidities. Depression and anxiety have a strong bidirectional relationship with chronic headache; therefore, we suggest evaluating patients with the intention of alleviating both psychiatric symptoms and head pain.
It is important to diligently assess for common psychiatric comorbidities; using the AMPS and CARE MD mnemonics, along with screening for somatization disorders, is an easy and effective way to evaluate for relevant psychiatric conditions associated with chronic head pain. Because many patients have unusual and complicated responses to head pain that can be explained by non-pathophysiological and non-biomechanical models, using the biopsychosocial model is essential for effective diagnosis, assessment, and treatment. Abortive and prophylactic medical interventions, as well as behavioral, sociocultural, and cognitive assessment, are vital to a comprehensive treatment approach.
Bottom Line
The psychodiagnostic assessment can help the astute clinician identify comorbid psychiatric conditions, psychological factors, and somatic symptoms to develop a comprehensive biopsychosocial treatment plan for patients with chronic head pain. Rule out primary and secondary causes of pain and screen for somatization disorders. Consider medication and psychotherapeutic treatment options.
Related Resources
• Pompili M, Di Cosimo D, Innamorati M, et al. Psychiatric comorbidity in patients with chronic daily headache and migraine: a selective overview including personality traits and suicide risk. J Headache Pain. 2009;10(4):283-290.
• Sinclair AJ, Sturrock A, Davies B, et al. Headache management: pharmacological approaches [published online July 3, 2015]. Pract Neurol. doi: 10.1136/practneurol-2015-001167.
Drug Brand Names
Amitriptyline • Elavil Meperidine • Demerol
Botulinum toxin A • Botox Metoclopramide • Reglan
Divalproex sodium • Depakote Propranolol • Inderide
Ketorolac • Toradol Topiramate • Topamax
Disclosures
The authors report no financial relationships with any company whose products are mentioned in this article or with manufacturers of competing products.
1. Stovner LJ, Hagen K, Jensen R, et al. The global burden of headache: a documentation of headache prevalence and disability worldwide. Cephalalgia. 2007;27(3):193-210.
2. Lipton RB, Stewart WF, Diamond S, et al. Prevalence and burden of migraine in the United States: data from the American Migraine Study II. Headache. 2001;41(7):646-657.
3. The World Health Report 2001: Mental health: new understanding new hope. Geneva, Switzerland: World Health Organization; 2001.
4. World Health Organization. The global burden of disease: 2004 update. http://www.who.int/healthinfo/global_burden_ disease/GBD_report_2004update_full.pdf. Published 2004. Accessed July 31, 2015.
5. World Health Organization. Headache disorders. http:// www.who.int/mediacentre/factsheets/fs277/en/. Published October 2012. Accessed July 31, 2015.
6. Clinch C. Evaluation & management of headache. In: South- Paul JE, Matheny SC, Lewis EL. eds. Current diagnosis & treatment in family medicine, 4th ed. New York, NY: McGraw-Hill; 2015:293-297.
7. Headache Classification Committee of the International Headache Society (IHS). The International Classification of Headache Disorders, 3rd edition (beta version). Cephalalgia. 2013;33(9):629-808.
8. Mawet J, Kurth T, Ayata C. Migraine and stroke: in search of shared mechanisms. Cephalalgia. 2015;35(2):165-181.
9. Janke EA, Holroyd KA, Romanek K. Depression increases onset of tension-type headache following laboratory stress. Pain. 2004;111(3):230-238.
10. Engel GL. The need for a new medical model: a challenge for biomedicine. Science. 1977;196(4286):129-136.
11. Engel GL. The clinical application of the biopsychosocial model. Am J Psychiatry. 1980;137(5):535-544.
12. Turk DC, Flor H. Chronic pain: a biobehavioral perspective. In: Gatchel RJ, Turk DC, eds. Psychosocial factors in pain: critical perspectives. New York, NY: Guilford Press; 1999:18-34.
13. Andrasik F, Flor H, Turk DC. An expanded view of psychological aspects in head pain: the biopsychosocial model. Neurol Sci. 2005;26(suppl 2):s87-s91.
14. Verri AP, Proietti Cecchini A, Galli C, et al. Psychiatric comorbidity in chronic daily headache. Cephalalgia. 1998; 18(suppl 21):45-49.
15. Ilgen MA, Zivin K, McCammon RJ, et al. Pain and suicidal thoughts, plans and attempts in the United States. Gen Hosp Psychiatry. 2008;30(6):521-527.
16. Kowacs F, Socal MP, Ziomkowski SC, et al. Symptoms of depression and anxiety, and screening for mental disorders in migrainous patients. Cephalalgia. 2003;23(2):79-89.
17. Hamelsky SW, Lipton RB. Psychiatric comorbidity of migraine. Headache. 2006;46(9):1327-1333.
18. Nguyen TV, Low NC. Comorbidity of migraine and mood episodes in a nationally representative population-based sample. Headache. 2013;53(3):498-506.
19. Fasmer OB. The prevalence of migraine in patients with bipolar and unipolar affective disorders. Cephalalgia. 2001; 21(9):894-899.
20. Breslau N. Migraine, suicidal ideation, and suicide attempts. Neurology. 1992;42(2):392-395.
21. Puca F, Genco S, Prudenzano MP, et al. Psychiatric comorbidity and psychosocial stress in patients with tension-type headache from headache centers in Italy. Cephalalgia. 1999;19(3):159-164.
22. Yücel B, Kora K, Ozyalçín S, et al. Depression, automatic thoughts, alexithymia, and assertiveness in patients with tension-type headache. Headache. 2002;42(3):194-199.
23. Wittrock DA, Myers TC. The comparison of individuals with recurrent tension-type headache and headache-free controls in physiological response, appraisal, and coping with stressors: a review of the literature. Ann Behav Med. 1998;20(2):118-134.
24. Onate J, Xiong G, McCarron R. The primary care psychiatric interview. In: McCarron R, Xiong G, Bourgeois J. Lippincott’s primary care psychiatry. Philadelphia, PA: Lippincott, Williams and Wilkins; 2009:3-4.
25. Songer D. Psychotherapeutic approaches in the treatment of pain. Psychiatry (Edgmont). 2005;2(5):19-24.
26. Diagnostic and statistical manual of mental disorders, 5th ed. Washington, DC: American Psychiatric Association; 2013.
27. Hashmi JA, Baliki MN, Huang L, et al. Shape shifting pain: chronification of back pain shifts brain representation from nociceptive to emotional circuits. Brain. 2013;136(pt 9):2751-2768.
28. Packard RC. Conversion headache. Headache. 1980;20(5):266-268.
29. Mongini F, Keller R, Deregibus A, et al. Frontal lobe dysfunction in patients with chronic migraine: a clinical-neuropsychological study. Psychiatry Res. 2005;133(1):101-106.
30. Martelli MF, Grayson RL, Zasler ND. Posttraumatic headache: neuropsychological and psychological effects and treatment implications. J Head Trauma Rehabil. 1999;14(1):49-69.
1. Stovner LJ, Hagen K, Jensen R, et al. The global burden of headache: a documentation of headache prevalence and disability worldwide. Cephalalgia. 2007;27(3):193-210.
2. Lipton RB, Stewart WF, Diamond S, et al. Prevalence and burden of migraine in the United States: data from the American Migraine Study II. Headache. 2001;41(7):646-657.
3. The World Health Report 2001: Mental health: new understanding new hope. Geneva, Switzerland: World Health Organization; 2001.
4. World Health Organization. The global burden of disease: 2004 update. http://www.who.int/healthinfo/global_burden_ disease/GBD_report_2004update_full.pdf. Published 2004. Accessed July 31, 2015.
5. World Health Organization. Headache disorders. http:// www.who.int/mediacentre/factsheets/fs277/en/. Published October 2012. Accessed July 31, 2015.
6. Clinch C. Evaluation & management of headache. In: South- Paul JE, Matheny SC, Lewis EL. eds. Current diagnosis & treatment in family medicine, 4th ed. New York, NY: McGraw-Hill; 2015:293-297.
7. Headache Classification Committee of the International Headache Society (IHS). The International Classification of Headache Disorders, 3rd edition (beta version). Cephalalgia. 2013;33(9):629-808.
8. Mawet J, Kurth T, Ayata C. Migraine and stroke: in search of shared mechanisms. Cephalalgia. 2015;35(2):165-181.
9. Janke EA, Holroyd KA, Romanek K. Depression increases onset of tension-type headache following laboratory stress. Pain. 2004;111(3):230-238.
10. Engel GL. The need for a new medical model: a challenge for biomedicine. Science. 1977;196(4286):129-136.
11. Engel GL. The clinical application of the biopsychosocial model. Am J Psychiatry. 1980;137(5):535-544.
12. Turk DC, Flor H. Chronic pain: a biobehavioral perspective. In: Gatchel RJ, Turk DC, eds. Psychosocial factors in pain: critical perspectives. New York, NY: Guilford Press; 1999:18-34.
13. Andrasik F, Flor H, Turk DC. An expanded view of psychological aspects in head pain: the biopsychosocial model. Neurol Sci. 2005;26(suppl 2):s87-s91.
14. Verri AP, Proietti Cecchini A, Galli C, et al. Psychiatric comorbidity in chronic daily headache. Cephalalgia. 1998; 18(suppl 21):45-49.
15. Ilgen MA, Zivin K, McCammon RJ, et al. Pain and suicidal thoughts, plans and attempts in the United States. Gen Hosp Psychiatry. 2008;30(6):521-527.
16. Kowacs F, Socal MP, Ziomkowski SC, et al. Symptoms of depression and anxiety, and screening for mental disorders in migrainous patients. Cephalalgia. 2003;23(2):79-89.
17. Hamelsky SW, Lipton RB. Psychiatric comorbidity of migraine. Headache. 2006;46(9):1327-1333.
18. Nguyen TV, Low NC. Comorbidity of migraine and mood episodes in a nationally representative population-based sample. Headache. 2013;53(3):498-506.
19. Fasmer OB. The prevalence of migraine in patients with bipolar and unipolar affective disorders. Cephalalgia. 2001; 21(9):894-899.
20. Breslau N. Migraine, suicidal ideation, and suicide attempts. Neurology. 1992;42(2):392-395.
21. Puca F, Genco S, Prudenzano MP, et al. Psychiatric comorbidity and psychosocial stress in patients with tension-type headache from headache centers in Italy. Cephalalgia. 1999;19(3):159-164.
22. Yücel B, Kora K, Ozyalçín S, et al. Depression, automatic thoughts, alexithymia, and assertiveness in patients with tension-type headache. Headache. 2002;42(3):194-199.
23. Wittrock DA, Myers TC. The comparison of individuals with recurrent tension-type headache and headache-free controls in physiological response, appraisal, and coping with stressors: a review of the literature. Ann Behav Med. 1998;20(2):118-134.
24. Onate J, Xiong G, McCarron R. The primary care psychiatric interview. In: McCarron R, Xiong G, Bourgeois J. Lippincott’s primary care psychiatry. Philadelphia, PA: Lippincott, Williams and Wilkins; 2009:3-4.
25. Songer D. Psychotherapeutic approaches in the treatment of pain. Psychiatry (Edgmont). 2005;2(5):19-24.
26. Diagnostic and statistical manual of mental disorders, 5th ed. Washington, DC: American Psychiatric Association; 2013.
27. Hashmi JA, Baliki MN, Huang L, et al. Shape shifting pain: chronification of back pain shifts brain representation from nociceptive to emotional circuits. Brain. 2013;136(pt 9):2751-2768.
28. Packard RC. Conversion headache. Headache. 1980;20(5):266-268.
29. Mongini F, Keller R, Deregibus A, et al. Frontal lobe dysfunction in patients with chronic migraine: a clinical-neuropsychological study. Psychiatry Res. 2005;133(1):101-106.
30. Martelli MF, Grayson RL, Zasler ND. Posttraumatic headache: neuropsychological and psychological effects and treatment implications. J Head Trauma Rehabil. 1999;14(1):49-69.
Rx: Treating chronic medical vulnerability in the mentally ill
With few exceptions, I have found that patients who have chronic moderate or severe mental illness tend to be relatively more vulnerable in terms of (1) receiving suboptimal primary medical care and (2) suffering a resulting increase in morbidity, mortality, and disability.
Across the board, I’ve found, psychiatrists are more likely to treat patients who are chronically vulnerable.
Why are they so vulnerable?
The unique vulnerability of patients with severe mental illness stems from several causative factors:
• the stigma attached to mental illness
• poor implementation of parity in reimbursement for mental health services
• a suboptimal-sized mental health workforce
• related poor patient-centered support
• most important, these patients’ lack of primary and preventive medical care.
Here are a few examples that demonstrate how dire the situation is:
Smoking cigarettes is one of the most dangerous modifiable risk factors for vascular disease and early death. People with mental illness smoke almost half (44%) of the cigarettes sold in the United States and are twice as likely to smoke than those who do not have a mental illness.1,2
HIV infection is at least 2 or 3 times more prevalent among people with severe mental illness as it is in the general population.3
Hepatitis C infection is at least twice as prevalent in people with a diagnosis of schizophrenia as it is in the general population.4
Schizophrenia. As many as 60% of premature deaths among people with schizophrenia are attributable to a medical illness.5 For example, those with schizophrenia have an increased 10-year cardiac mortality; comparatively higher rates of hypertension, diabetes, and smoking; and, on average, a lower level of high-density lipoprotein cholesterol. Nasrallah et al reported that the rate of untreated hypertension among patients with schizophrenia is 62.4%.6
Premature death. People who have a diagnosis of severe mental illness are at risk of dying prematurely by as much as 25 years.5,7-10
Who should take the lead?
How can psychiatrists address this ongoing vulnerability within the mentally ill patient population, and advocate for their patients? A comprehensive answer to this question is beyond the scope of this article, but I can offer this prescription for your consideration.
Be an advocate. You, as a psychiatrist, are well positioned to counter the mental health-related stigma and advocate for implementation of mental health parity nationwide. In addition to participating in community education and outreach, become a member of, and get involved in, established organizations, such as the American Psychiatric Association, that advocates for psychiatric patients at all levels.
Keep patients connected. Make sure your patients are connected with a primary care provider, and use your psychotherapeutic skills to help patients understand the importance of receiving primary and secondary preventive medical care.
Monitor health and disease. As a physician first and a psychiatrist second, closely monitor your patients for general medical conditions that are related to the presence and treatment of psychiatric disorders. Consider routinely reviewing pertinent lab work with patients—even results of tests ordered by a primary care provider (eg, the metabolic panel and a thyroid-stimulating hormone level in patients taking lithium).
Collaborate with your primary care colleagues; they need your help as much as you can use their help! Make sure your patients witness this collaboration, because it mirrors how you would like them to interact with their primary care provider.
Educate yourself. Education in the essentials of psychiatry-based preventive medical care is key, as we work to more effectively address the increased disability, morbidity, mortality, and overall vulnerability in our patients. Stay “current” on general medical topics by reading the “Med/Psych Update” section of Current Psychiatry and relevant articles in other clinical guides to both integrated and preventive medicine.11
1. Lasser K, Boyd JW, Woolhandler S, et al. Smoking and mental illness: a population-based prevalence study. JAMA. 2000;284(20):2606-2610.
2. Grant BF, Hasin DS, Chou SP, et al. Nicotine dependence and psychiatric disorders in the United States: results from the national epidemiologic survey on alcohol and related conditions. Arch Gen Psychiatry. 2004;61(11):1107-1115.
3. Meade CS, Sikkema KJ. HIV risk behavior among adults with severe mental illness: a systematic review. Clin Psychol Rev. 2005;25(4):433-457.
4. Dinwiddie SH, Shicker L, Newman T. Prevalence of hepatitis C among psychiatric patients in the public sector. Am J Psychiatry. 2003;160(1):172-174.
5. Saha S, Chant D, McGrath J. A systematic review of mortality in schizophrenia: is the differential mortality gap worsening over time? Arch Gen Psychiatry. 2007;64(10):1123-1131.
6. Nasrallah HA, Meyer JM, Goff DC, et al. Low rates of treatment for hypertension, dyslipidemia and diabetes in schizophrenia: data from the CATIE schizophrenia trial sample at baseline. Schizophr Res. 2006;86(1-3):15-22.
7. Colton CW, Manderscheid RW. Congruencies in increased mortality rates, years of potential life lost, and causes of death among public mental health clients in eight states. Prev Chronic Dis. 2006;3(2):A42.
8. Druss BG, Bradford WD, Rosenheck RA, et al. Quality of medical care and excess mortality in older patients with mental disorders. Arch Gen Psychiatry. 2001;58(6):565-572.
9. Roshanaei-Moghaddam B, Katon W. Premature mortality from general medical illnesses among persons with bipolar disorder: a review. Psychiatr Serv. 2009;60(2):147-156.
10. Newcomer JW, Hennekens CH. Severe mental illness and risk of cardiovascular disease. JAMA. 2007;298(15):1794-1796.
11. McCarron RM, Xiong G, Keenan CR, et al. Preventive medical care in psychiatry: a practical guide for clinicians. Arlington, VA: American Psychiatric Publishing; 2014.
With few exceptions, I have found that patients who have chronic moderate or severe mental illness tend to be relatively more vulnerable in terms of (1) receiving suboptimal primary medical care and (2) suffering a resulting increase in morbidity, mortality, and disability.
Across the board, I’ve found, psychiatrists are more likely to treat patients who are chronically vulnerable.
Why are they so vulnerable?
The unique vulnerability of patients with severe mental illness stems from several causative factors:
• the stigma attached to mental illness
• poor implementation of parity in reimbursement for mental health services
• a suboptimal-sized mental health workforce
• related poor patient-centered support
• most important, these patients’ lack of primary and preventive medical care.
Here are a few examples that demonstrate how dire the situation is:
Smoking cigarettes is one of the most dangerous modifiable risk factors for vascular disease and early death. People with mental illness smoke almost half (44%) of the cigarettes sold in the United States and are twice as likely to smoke than those who do not have a mental illness.1,2
HIV infection is at least 2 or 3 times more prevalent among people with severe mental illness as it is in the general population.3
Hepatitis C infection is at least twice as prevalent in people with a diagnosis of schizophrenia as it is in the general population.4
Schizophrenia. As many as 60% of premature deaths among people with schizophrenia are attributable to a medical illness.5 For example, those with schizophrenia have an increased 10-year cardiac mortality; comparatively higher rates of hypertension, diabetes, and smoking; and, on average, a lower level of high-density lipoprotein cholesterol. Nasrallah et al reported that the rate of untreated hypertension among patients with schizophrenia is 62.4%.6
Premature death. People who have a diagnosis of severe mental illness are at risk of dying prematurely by as much as 25 years.5,7-10
Who should take the lead?
How can psychiatrists address this ongoing vulnerability within the mentally ill patient population, and advocate for their patients? A comprehensive answer to this question is beyond the scope of this article, but I can offer this prescription for your consideration.
Be an advocate. You, as a psychiatrist, are well positioned to counter the mental health-related stigma and advocate for implementation of mental health parity nationwide. In addition to participating in community education and outreach, become a member of, and get involved in, established organizations, such as the American Psychiatric Association, that advocates for psychiatric patients at all levels.
Keep patients connected. Make sure your patients are connected with a primary care provider, and use your psychotherapeutic skills to help patients understand the importance of receiving primary and secondary preventive medical care.
Monitor health and disease. As a physician first and a psychiatrist second, closely monitor your patients for general medical conditions that are related to the presence and treatment of psychiatric disorders. Consider routinely reviewing pertinent lab work with patients—even results of tests ordered by a primary care provider (eg, the metabolic panel and a thyroid-stimulating hormone level in patients taking lithium).
Collaborate with your primary care colleagues; they need your help as much as you can use their help! Make sure your patients witness this collaboration, because it mirrors how you would like them to interact with their primary care provider.
Educate yourself. Education in the essentials of psychiatry-based preventive medical care is key, as we work to more effectively address the increased disability, morbidity, mortality, and overall vulnerability in our patients. Stay “current” on general medical topics by reading the “Med/Psych Update” section of Current Psychiatry and relevant articles in other clinical guides to both integrated and preventive medicine.11
With few exceptions, I have found that patients who have chronic moderate or severe mental illness tend to be relatively more vulnerable in terms of (1) receiving suboptimal primary medical care and (2) suffering a resulting increase in morbidity, mortality, and disability.
Across the board, I’ve found, psychiatrists are more likely to treat patients who are chronically vulnerable.
Why are they so vulnerable?
The unique vulnerability of patients with severe mental illness stems from several causative factors:
• the stigma attached to mental illness
• poor implementation of parity in reimbursement for mental health services
• a suboptimal-sized mental health workforce
• related poor patient-centered support
• most important, these patients’ lack of primary and preventive medical care.
Here are a few examples that demonstrate how dire the situation is:
Smoking cigarettes is one of the most dangerous modifiable risk factors for vascular disease and early death. People with mental illness smoke almost half (44%) of the cigarettes sold in the United States and are twice as likely to smoke than those who do not have a mental illness.1,2
HIV infection is at least 2 or 3 times more prevalent among people with severe mental illness as it is in the general population.3
Hepatitis C infection is at least twice as prevalent in people with a diagnosis of schizophrenia as it is in the general population.4
Schizophrenia. As many as 60% of premature deaths among people with schizophrenia are attributable to a medical illness.5 For example, those with schizophrenia have an increased 10-year cardiac mortality; comparatively higher rates of hypertension, diabetes, and smoking; and, on average, a lower level of high-density lipoprotein cholesterol. Nasrallah et al reported that the rate of untreated hypertension among patients with schizophrenia is 62.4%.6
Premature death. People who have a diagnosis of severe mental illness are at risk of dying prematurely by as much as 25 years.5,7-10
Who should take the lead?
How can psychiatrists address this ongoing vulnerability within the mentally ill patient population, and advocate for their patients? A comprehensive answer to this question is beyond the scope of this article, but I can offer this prescription for your consideration.
Be an advocate. You, as a psychiatrist, are well positioned to counter the mental health-related stigma and advocate for implementation of mental health parity nationwide. In addition to participating in community education and outreach, become a member of, and get involved in, established organizations, such as the American Psychiatric Association, that advocates for psychiatric patients at all levels.
Keep patients connected. Make sure your patients are connected with a primary care provider, and use your psychotherapeutic skills to help patients understand the importance of receiving primary and secondary preventive medical care.
Monitor health and disease. As a physician first and a psychiatrist second, closely monitor your patients for general medical conditions that are related to the presence and treatment of psychiatric disorders. Consider routinely reviewing pertinent lab work with patients—even results of tests ordered by a primary care provider (eg, the metabolic panel and a thyroid-stimulating hormone level in patients taking lithium).
Collaborate with your primary care colleagues; they need your help as much as you can use their help! Make sure your patients witness this collaboration, because it mirrors how you would like them to interact with their primary care provider.
Educate yourself. Education in the essentials of psychiatry-based preventive medical care is key, as we work to more effectively address the increased disability, morbidity, mortality, and overall vulnerability in our patients. Stay “current” on general medical topics by reading the “Med/Psych Update” section of Current Psychiatry and relevant articles in other clinical guides to both integrated and preventive medicine.11
1. Lasser K, Boyd JW, Woolhandler S, et al. Smoking and mental illness: a population-based prevalence study. JAMA. 2000;284(20):2606-2610.
2. Grant BF, Hasin DS, Chou SP, et al. Nicotine dependence and psychiatric disorders in the United States: results from the national epidemiologic survey on alcohol and related conditions. Arch Gen Psychiatry. 2004;61(11):1107-1115.
3. Meade CS, Sikkema KJ. HIV risk behavior among adults with severe mental illness: a systematic review. Clin Psychol Rev. 2005;25(4):433-457.
4. Dinwiddie SH, Shicker L, Newman T. Prevalence of hepatitis C among psychiatric patients in the public sector. Am J Psychiatry. 2003;160(1):172-174.
5. Saha S, Chant D, McGrath J. A systematic review of mortality in schizophrenia: is the differential mortality gap worsening over time? Arch Gen Psychiatry. 2007;64(10):1123-1131.
6. Nasrallah HA, Meyer JM, Goff DC, et al. Low rates of treatment for hypertension, dyslipidemia and diabetes in schizophrenia: data from the CATIE schizophrenia trial sample at baseline. Schizophr Res. 2006;86(1-3):15-22.
7. Colton CW, Manderscheid RW. Congruencies in increased mortality rates, years of potential life lost, and causes of death among public mental health clients in eight states. Prev Chronic Dis. 2006;3(2):A42.
8. Druss BG, Bradford WD, Rosenheck RA, et al. Quality of medical care and excess mortality in older patients with mental disorders. Arch Gen Psychiatry. 2001;58(6):565-572.
9. Roshanaei-Moghaddam B, Katon W. Premature mortality from general medical illnesses among persons with bipolar disorder: a review. Psychiatr Serv. 2009;60(2):147-156.
10. Newcomer JW, Hennekens CH. Severe mental illness and risk of cardiovascular disease. JAMA. 2007;298(15):1794-1796.
11. McCarron RM, Xiong G, Keenan CR, et al. Preventive medical care in psychiatry: a practical guide for clinicians. Arlington, VA: American Psychiatric Publishing; 2014.
1. Lasser K, Boyd JW, Woolhandler S, et al. Smoking and mental illness: a population-based prevalence study. JAMA. 2000;284(20):2606-2610.
2. Grant BF, Hasin DS, Chou SP, et al. Nicotine dependence and psychiatric disorders in the United States: results from the national epidemiologic survey on alcohol and related conditions. Arch Gen Psychiatry. 2004;61(11):1107-1115.
3. Meade CS, Sikkema KJ. HIV risk behavior among adults with severe mental illness: a systematic review. Clin Psychol Rev. 2005;25(4):433-457.
4. Dinwiddie SH, Shicker L, Newman T. Prevalence of hepatitis C among psychiatric patients in the public sector. Am J Psychiatry. 2003;160(1):172-174.
5. Saha S, Chant D, McGrath J. A systematic review of mortality in schizophrenia: is the differential mortality gap worsening over time? Arch Gen Psychiatry. 2007;64(10):1123-1131.
6. Nasrallah HA, Meyer JM, Goff DC, et al. Low rates of treatment for hypertension, dyslipidemia and diabetes in schizophrenia: data from the CATIE schizophrenia trial sample at baseline. Schizophr Res. 2006;86(1-3):15-22.
7. Colton CW, Manderscheid RW. Congruencies in increased mortality rates, years of potential life lost, and causes of death among public mental health clients in eight states. Prev Chronic Dis. 2006;3(2):A42.
8. Druss BG, Bradford WD, Rosenheck RA, et al. Quality of medical care and excess mortality in older patients with mental disorders. Arch Gen Psychiatry. 2001;58(6):565-572.
9. Roshanaei-Moghaddam B, Katon W. Premature mortality from general medical illnesses among persons with bipolar disorder: a review. Psychiatr Serv. 2009;60(2):147-156.
10. Newcomer JW, Hennekens CH. Severe mental illness and risk of cardiovascular disease. JAMA. 2007;298(15):1794-1796.
11. McCarron RM, Xiong G, Keenan CR, et al. Preventive medical care in psychiatry: a practical guide for clinicians. Arlington, VA: American Psychiatric Publishing; 2014.
To match bone marrow donors and recipients, ask about grandma
Photo by Chad McNeeley
Asking bone marrow donors about their grandparents’ ancestry may help match donors to the appropriate recipients, according to research published in PLOS ONE.
Investigators found that when donors were self-reporting their race/ethnicity and included information on their grandparents’ ancestry, their responses often matched their genetics better than when they simply selected from standard race/ethnicity categories.
The investigators said these results show that more research is needed to refine methods for collecting and interpreting information on race/ethnicity for medical purposes.
“In medicine, we’ve been under the assumption that it’s just a matter of presenting people with the right check boxes,” said Jill Hollenbach, PhD, of the University of California, San Francisco. “It turns out that it’s much more complex than that.”
She and her colleagues noted that identifying a 10/10 human leukocyte antigen (HLA) match in the National Marrow Donor Program’s Be The Match Registry can be difficult because most of the donors submitted samples at a time when genotyping was much less advanced than it is today.
To find likely matches to pursue, the registry uses bioinformatics to weed out the donors unlikely to have matching HLA genes. Although HLA genes are highly variable, certain variations are found at higher frequencies in some regions of the world than others.
A patient with geographic ancestry in East Asia, for example, is more likely to have the same HLA variation as someone with origins in East Asia, rather than someone with European ancestry.
To obtain such information, most medical facilities use the patients’ race/ethnicity self-identification as a proxy. This can be challenging for people who trace their ancestry to multiple origins.
“The United States census uses a “check all that apply” technique, which is OK, but we want to try to get a little more refined to improve our matching efficiency,” said study author Martin Maiers, director of Bioinformatics Research at the Be The Match Registry.
To assess the extent to which different means of self-identification correspond to genetic ancestry, the investigators recruited 1752 potential donors from the Be The Match Registry.
The team sent participants a questionnaire with multiple measures of self-identification, including race/ethnicity and geographic ancestry, and asked participants to assign geographic ancestry to their grandparents. Participants also submitted cheek swabs as DNA samples.
By analyzing the cheek swabs, the investigators genotyped 93 ancestry informative markers to identify the participants’ genetic ancestry. This revealed a strong correlation between the ancestry markers and HLA genes.
Unfortunately, no measure of self-identification showed complete correspondence with a donor’s genetic ancestry. However, information about the geographic origins of the donors’ grandparents corresponded most closely with genetics, particularly for participants with ancestry from multiple continents.
“The conventional wisdom of the last decade or two has been that race is a social construct,” Dr Hollenbach said. “That’s true, but race is also part of the language of self-identification in [the US]. Let’s understand how these different forms of self-identification and genetic ancestry intersect to improve transplant matching for people of all ancestral backgrounds.”
Photo by Chad McNeeley
Asking bone marrow donors about their grandparents’ ancestry may help match donors to the appropriate recipients, according to research published in PLOS ONE.
Investigators found that when donors were self-reporting their race/ethnicity and included information on their grandparents’ ancestry, their responses often matched their genetics better than when they simply selected from standard race/ethnicity categories.
The investigators said these results show that more research is needed to refine methods for collecting and interpreting information on race/ethnicity for medical purposes.
“In medicine, we’ve been under the assumption that it’s just a matter of presenting people with the right check boxes,” said Jill Hollenbach, PhD, of the University of California, San Francisco. “It turns out that it’s much more complex than that.”
She and her colleagues noted that identifying a 10/10 human leukocyte antigen (HLA) match in the National Marrow Donor Program’s Be The Match Registry can be difficult because most of the donors submitted samples at a time when genotyping was much less advanced than it is today.
To find likely matches to pursue, the registry uses bioinformatics to weed out the donors unlikely to have matching HLA genes. Although HLA genes are highly variable, certain variations are found at higher frequencies in some regions of the world than others.
A patient with geographic ancestry in East Asia, for example, is more likely to have the same HLA variation as someone with origins in East Asia, rather than someone with European ancestry.
To obtain such information, most medical facilities use the patients’ race/ethnicity self-identification as a proxy. This can be challenging for people who trace their ancestry to multiple origins.
“The United States census uses a “check all that apply” technique, which is OK, but we want to try to get a little more refined to improve our matching efficiency,” said study author Martin Maiers, director of Bioinformatics Research at the Be The Match Registry.
To assess the extent to which different means of self-identification correspond to genetic ancestry, the investigators recruited 1752 potential donors from the Be The Match Registry.
The team sent participants a questionnaire with multiple measures of self-identification, including race/ethnicity and geographic ancestry, and asked participants to assign geographic ancestry to their grandparents. Participants also submitted cheek swabs as DNA samples.
By analyzing the cheek swabs, the investigators genotyped 93 ancestry informative markers to identify the participants’ genetic ancestry. This revealed a strong correlation between the ancestry markers and HLA genes.
Unfortunately, no measure of self-identification showed complete correspondence with a donor’s genetic ancestry. However, information about the geographic origins of the donors’ grandparents corresponded most closely with genetics, particularly for participants with ancestry from multiple continents.
“The conventional wisdom of the last decade or two has been that race is a social construct,” Dr Hollenbach said. “That’s true, but race is also part of the language of self-identification in [the US]. Let’s understand how these different forms of self-identification and genetic ancestry intersect to improve transplant matching for people of all ancestral backgrounds.”
Photo by Chad McNeeley
Asking bone marrow donors about their grandparents’ ancestry may help match donors to the appropriate recipients, according to research published in PLOS ONE.
Investigators found that when donors were self-reporting their race/ethnicity and included information on their grandparents’ ancestry, their responses often matched their genetics better than when they simply selected from standard race/ethnicity categories.
The investigators said these results show that more research is needed to refine methods for collecting and interpreting information on race/ethnicity for medical purposes.
“In medicine, we’ve been under the assumption that it’s just a matter of presenting people with the right check boxes,” said Jill Hollenbach, PhD, of the University of California, San Francisco. “It turns out that it’s much more complex than that.”
She and her colleagues noted that identifying a 10/10 human leukocyte antigen (HLA) match in the National Marrow Donor Program’s Be The Match Registry can be difficult because most of the donors submitted samples at a time when genotyping was much less advanced than it is today.
To find likely matches to pursue, the registry uses bioinformatics to weed out the donors unlikely to have matching HLA genes. Although HLA genes are highly variable, certain variations are found at higher frequencies in some regions of the world than others.
A patient with geographic ancestry in East Asia, for example, is more likely to have the same HLA variation as someone with origins in East Asia, rather than someone with European ancestry.
To obtain such information, most medical facilities use the patients’ race/ethnicity self-identification as a proxy. This can be challenging for people who trace their ancestry to multiple origins.
“The United States census uses a “check all that apply” technique, which is OK, but we want to try to get a little more refined to improve our matching efficiency,” said study author Martin Maiers, director of Bioinformatics Research at the Be The Match Registry.
To assess the extent to which different means of self-identification correspond to genetic ancestry, the investigators recruited 1752 potential donors from the Be The Match Registry.
The team sent participants a questionnaire with multiple measures of self-identification, including race/ethnicity and geographic ancestry, and asked participants to assign geographic ancestry to their grandparents. Participants also submitted cheek swabs as DNA samples.
By analyzing the cheek swabs, the investigators genotyped 93 ancestry informative markers to identify the participants’ genetic ancestry. This revealed a strong correlation between the ancestry markers and HLA genes.
Unfortunately, no measure of self-identification showed complete correspondence with a donor’s genetic ancestry. However, information about the geographic origins of the donors’ grandparents corresponded most closely with genetics, particularly for participants with ancestry from multiple continents.
“The conventional wisdom of the last decade or two has been that race is a social construct,” Dr Hollenbach said. “That’s true, but race is also part of the language of self-identification in [the US]. Let’s understand how these different forms of self-identification and genetic ancestry intersect to improve transplant matching for people of all ancestral backgrounds.”
Blood-cleansing device on the way to the clinic, team says
for Staphylococcus infection
Photo by Bill Branson
Last year, researchers reported promising preclinical results with a device that can treat sepsis by mimicking the human spleen. The device filtered pathogens and toxins from the blood by passing it through a dialysis-like circuit.
Now, the researchers have developed a new, more streamlined device that, they believe, is more likely to translate to the clinic. The new device also synergizes with conventional antibiotic therapies.
The team described this device in Biomaterials.
“The inflammatory cascade that leads to sepsis is triggered by pathogens and, specifically, by the toxins they release,” said study author Donald Ingber, MD, PhD, of the Wyss Institute for Biologically Inspired Engineering at Harvard University in Cambridge, Massachusetts.
“Thus, the most effective strategy is to treat with the best antibiotics you can muster, while also removing the toxins and remaining pathogens from the patient’s blood as quickly as possible.”
How the device works
The researchers say their new blood-cleansing approach can be completed quickly, without even identifying the infectious agent. This is because the device uses a proprietary pathogen-capturing agent, known as FcMBL, that binds all types of live and dead infectious microbes, including bacteria, fungi, viruses, and the toxins they release.
FcMBL is a genetically engineered blood protein inspired by a naturally occurring human molecule called mannose binding lectin (MBL). MBL is found in the innate immune system and binds to toxic invaders, marking them for capture by immune cells in the spleen.
The researchers’ original device concept was similar to how a dialysis machine works. Infected blood in an animal, or potentially one day in a patient, is flowed from one vein through catheters to the device.
There, FcMBL-coated magnetic beads are added to the blood, and the bead-bound pathogens are extracted from the circulating blood by magnets within the device before the cleansed blood is returned to the body through another vein.
The new device removes the complexity, regulatory challenges, and cost associated with the magnetic beads and microfluidic architecture of its predecessor. But it still uses the FcMBL protein to bind to pathogens and toxins.
The new system uses hollow fiber filters similar to those currently used in hemodialysis, but the inner walls of these filters are coated with FcMBL protein to remove pathogens from circulating blood.
Test results
In in vitro tests with human blood, the device reduced the number of Gram-negative bacteria (Escherichia coli), Gram-positive bacteria (Staphylococcus aureus), fungi (Candida albicans), and lipopolysaccharide-endotoxins by 90% to 99%.
In tests with rats, the device reduced levels of circulating pathogens and endotoxins by more than 99%, and it prevented pathogen engraftment and inflammatory cell recruitment in the spleen, lung, liver, and kidney.
The researchers also tested the device in combination with bacteriocidal antibiotics in rats. The antibiotics prompted a “major increase” in the release of microbial fragments, or pathogen-associated molecular patterns (PAMPs).
The device could remove PAMPs from the blood within 2 hours, but high levels of PAMPs remained in rats treated with antibiotics alone.
The researchers said PAMP removal reduced organ pathogen and endotoxin loads, suppressed inflammatory responses, and resulted in more stable vital signs.
“Using the device, alone or alongside antibiotics, we can quickly bring blood back to normal conditions, curtailing an inflammatory response rather than exacerbating it,” said Tohid Fatanat Didar, PhD, of the Wyss Institute.
“If all goes well, physicians will someday be able to use the device in tandem with standard antibiotic treatments to deliver a one-two punch to pathogens, synergistically killing and cleansing all live and dead invaders from the bloodstream.”
As the device has proven effective in small animal experiments, the researchers are planning to move to large animal studies. They must demonstrate proof-of-concept in these models before advancing to clinical trials.
“Our goal is to see this move out of the lab and into hospitals, as well as onto the battlefield,” Dr Ingber said, “where it can save lives within years rather than decades.”
for Staphylococcus infection
Photo by Bill Branson
Last year, researchers reported promising preclinical results with a device that can treat sepsis by mimicking the human spleen. The device filtered pathogens and toxins from the blood by passing it through a dialysis-like circuit.
Now, the researchers have developed a new, more streamlined device that, they believe, is more likely to translate to the clinic. The new device also synergizes with conventional antibiotic therapies.
The team described this device in Biomaterials.
“The inflammatory cascade that leads to sepsis is triggered by pathogens and, specifically, by the toxins they release,” said study author Donald Ingber, MD, PhD, of the Wyss Institute for Biologically Inspired Engineering at Harvard University in Cambridge, Massachusetts.
“Thus, the most effective strategy is to treat with the best antibiotics you can muster, while also removing the toxins and remaining pathogens from the patient’s blood as quickly as possible.”
How the device works
The researchers say their new blood-cleansing approach can be completed quickly, without even identifying the infectious agent. This is because the device uses a proprietary pathogen-capturing agent, known as FcMBL, that binds all types of live and dead infectious microbes, including bacteria, fungi, viruses, and the toxins they release.
FcMBL is a genetically engineered blood protein inspired by a naturally occurring human molecule called mannose binding lectin (MBL). MBL is found in the innate immune system and binds to toxic invaders, marking them for capture by immune cells in the spleen.
The researchers’ original device concept was similar to how a dialysis machine works. Infected blood in an animal, or potentially one day in a patient, is flowed from one vein through catheters to the device.
There, FcMBL-coated magnetic beads are added to the blood, and the bead-bound pathogens are extracted from the circulating blood by magnets within the device before the cleansed blood is returned to the body through another vein.
The new device removes the complexity, regulatory challenges, and cost associated with the magnetic beads and microfluidic architecture of its predecessor. But it still uses the FcMBL protein to bind to pathogens and toxins.
The new system uses hollow fiber filters similar to those currently used in hemodialysis, but the inner walls of these filters are coated with FcMBL protein to remove pathogens from circulating blood.
Test results
In in vitro tests with human blood, the device reduced the number of Gram-negative bacteria (Escherichia coli), Gram-positive bacteria (Staphylococcus aureus), fungi (Candida albicans), and lipopolysaccharide-endotoxins by 90% to 99%.
In tests with rats, the device reduced levels of circulating pathogens and endotoxins by more than 99%, and it prevented pathogen engraftment and inflammatory cell recruitment in the spleen, lung, liver, and kidney.
The researchers also tested the device in combination with bacteriocidal antibiotics in rats. The antibiotics prompted a “major increase” in the release of microbial fragments, or pathogen-associated molecular patterns (PAMPs).
The device could remove PAMPs from the blood within 2 hours, but high levels of PAMPs remained in rats treated with antibiotics alone.
The researchers said PAMP removal reduced organ pathogen and endotoxin loads, suppressed inflammatory responses, and resulted in more stable vital signs.
“Using the device, alone or alongside antibiotics, we can quickly bring blood back to normal conditions, curtailing an inflammatory response rather than exacerbating it,” said Tohid Fatanat Didar, PhD, of the Wyss Institute.
“If all goes well, physicians will someday be able to use the device in tandem with standard antibiotic treatments to deliver a one-two punch to pathogens, synergistically killing and cleansing all live and dead invaders from the bloodstream.”
As the device has proven effective in small animal experiments, the researchers are planning to move to large animal studies. They must demonstrate proof-of-concept in these models before advancing to clinical trials.
“Our goal is to see this move out of the lab and into hospitals, as well as onto the battlefield,” Dr Ingber said, “where it can save lives within years rather than decades.”
for Staphylococcus infection
Photo by Bill Branson
Last year, researchers reported promising preclinical results with a device that can treat sepsis by mimicking the human spleen. The device filtered pathogens and toxins from the blood by passing it through a dialysis-like circuit.
Now, the researchers have developed a new, more streamlined device that, they believe, is more likely to translate to the clinic. The new device also synergizes with conventional antibiotic therapies.
The team described this device in Biomaterials.
“The inflammatory cascade that leads to sepsis is triggered by pathogens and, specifically, by the toxins they release,” said study author Donald Ingber, MD, PhD, of the Wyss Institute for Biologically Inspired Engineering at Harvard University in Cambridge, Massachusetts.
“Thus, the most effective strategy is to treat with the best antibiotics you can muster, while also removing the toxins and remaining pathogens from the patient’s blood as quickly as possible.”
How the device works
The researchers say their new blood-cleansing approach can be completed quickly, without even identifying the infectious agent. This is because the device uses a proprietary pathogen-capturing agent, known as FcMBL, that binds all types of live and dead infectious microbes, including bacteria, fungi, viruses, and the toxins they release.
FcMBL is a genetically engineered blood protein inspired by a naturally occurring human molecule called mannose binding lectin (MBL). MBL is found in the innate immune system and binds to toxic invaders, marking them for capture by immune cells in the spleen.
The researchers’ original device concept was similar to how a dialysis machine works. Infected blood in an animal, or potentially one day in a patient, is flowed from one vein through catheters to the device.
There, FcMBL-coated magnetic beads are added to the blood, and the bead-bound pathogens are extracted from the circulating blood by magnets within the device before the cleansed blood is returned to the body through another vein.
The new device removes the complexity, regulatory challenges, and cost associated with the magnetic beads and microfluidic architecture of its predecessor. But it still uses the FcMBL protein to bind to pathogens and toxins.
The new system uses hollow fiber filters similar to those currently used in hemodialysis, but the inner walls of these filters are coated with FcMBL protein to remove pathogens from circulating blood.
Test results
In in vitro tests with human blood, the device reduced the number of Gram-negative bacteria (Escherichia coli), Gram-positive bacteria (Staphylococcus aureus), fungi (Candida albicans), and lipopolysaccharide-endotoxins by 90% to 99%.
In tests with rats, the device reduced levels of circulating pathogens and endotoxins by more than 99%, and it prevented pathogen engraftment and inflammatory cell recruitment in the spleen, lung, liver, and kidney.
The researchers also tested the device in combination with bacteriocidal antibiotics in rats. The antibiotics prompted a “major increase” in the release of microbial fragments, or pathogen-associated molecular patterns (PAMPs).
The device could remove PAMPs from the blood within 2 hours, but high levels of PAMPs remained in rats treated with antibiotics alone.
The researchers said PAMP removal reduced organ pathogen and endotoxin loads, suppressed inflammatory responses, and resulted in more stable vital signs.
“Using the device, alone or alongside antibiotics, we can quickly bring blood back to normal conditions, curtailing an inflammatory response rather than exacerbating it,” said Tohid Fatanat Didar, PhD, of the Wyss Institute.
“If all goes well, physicians will someday be able to use the device in tandem with standard antibiotic treatments to deliver a one-two punch to pathogens, synergistically killing and cleansing all live and dead invaders from the bloodstream.”
As the device has proven effective in small animal experiments, the researchers are planning to move to large animal studies. They must demonstrate proof-of-concept in these models before advancing to clinical trials.
“Our goal is to see this move out of the lab and into hospitals, as well as onto the battlefield,” Dr Ingber said, “where it can save lives within years rather than decades.”
T-cell finding may have broad implications
resolution microscope
Image courtesy of UNSW
Early exposure to inflammatory cytokines can “paralyze” CD4 T cells, according to research published in Immunity.
The study suggests this mechanism may act as a firewall, shutting down the immune response before it gets out of hand.
According to researchers, this discovery could lead to more effective immunotherapies for cancer and reduce the need for immunosuppressants in transplant patients, among other applications.
“There’s a 3-signal process to activate T cells, of which each component is essential for proper activation,” said study author Gail Sckisel, PhD, of the University of California, Davis in Sacramento.
“But no one had really looked at what happens if they are delivered out of sequence. If the third signal—cytokines—is given prematurely, it basically paralyzes CD4 T cells.”
To be activated, T cells must first recognize an antigen, receive appropriate costimulatory signals, and then encounter inflammatory cytokines to expand the immune response. Until now, no one realized that sending the third signal early—as is done with some immunotherapies—could actually hamper overall immunity.
“These stimulatory immunotherapies are designed to activate the immune system,” Dr Sckisel explained. “But considering how T cells respond, that approach could damage a patient’s ability to fight off pathogens. While immunotherapies might fight cancer, they may also open the door to opportunistic infections.”
She and her colleagues demonstrated this principle in mice. After they received systemic immunotherapy, the animals had trouble mounting a primary T-cell response.
The researchers confirmed this finding in samples from patients receiving high-dose interleukin 2 to treat metastatic melanoma.
“We need to be very careful because immunotherapy could be generating both short-term gain and long-term loss,” said study author William Murphy, PhD, also of the University of California, Davis.
“The patients who were receiving immunotherapy were totally shut down, which shows how profoundly we were suppressing the immune system.”
In addition to illuminating how T cells respond to cancer immunotherapy, the study also provides insights into autoimmune disorders. The researchers believe this CD4 paralysis mechanism could play a role in preventing autoimmunity, a hypothesis they supported by testing immunotherapy in a multiple sclerosis model.
By shutting down CD4 T cells, immune stimulation prevented an autoimmune response. This provides the opportunity to paralyze the immune system to prevent autoimmunity or modulate it to accept transplanted cells or entire organs.
“Transplant patients go on immunosuppressants for the rest of their lives, but if we could safely induce paralysis just prior to surgery, it’s possible that patients could develop tolerance,” Dr Sckisel said.
CD4 paralysis may also be co-opted by pathogens, such as HIV, which could use this chronic inflammation response to disable the immune system.
“This really highlights the importance of CD4 T cells,” Dr Murphy said. “The fact that they’re regulated and suppressed means they are definitely the orchestrators we need to take into account. It also shows how smart HIV is. The virus has been telling us CD4 T cells are critical because that’s what it attacks.”
The team’s next step is to continue this research in older mice. Age can bring a measurable loss in immune function, and inflammation may play a role in that process.
“For elderly people who have flu or pneumonia, their immune systems are activated, but maybe they can’t fight anything else,” Dr Murphy said. “This could change how we treat people who are very sick. If we can block pathways that suppress the immune response, we may be able to better fight infection.”
resolution microscope
Image courtesy of UNSW
Early exposure to inflammatory cytokines can “paralyze” CD4 T cells, according to research published in Immunity.
The study suggests this mechanism may act as a firewall, shutting down the immune response before it gets out of hand.
According to researchers, this discovery could lead to more effective immunotherapies for cancer and reduce the need for immunosuppressants in transplant patients, among other applications.
“There’s a 3-signal process to activate T cells, of which each component is essential for proper activation,” said study author Gail Sckisel, PhD, of the University of California, Davis in Sacramento.
“But no one had really looked at what happens if they are delivered out of sequence. If the third signal—cytokines—is given prematurely, it basically paralyzes CD4 T cells.”
To be activated, T cells must first recognize an antigen, receive appropriate costimulatory signals, and then encounter inflammatory cytokines to expand the immune response. Until now, no one realized that sending the third signal early—as is done with some immunotherapies—could actually hamper overall immunity.
“These stimulatory immunotherapies are designed to activate the immune system,” Dr Sckisel explained. “But considering how T cells respond, that approach could damage a patient’s ability to fight off pathogens. While immunotherapies might fight cancer, they may also open the door to opportunistic infections.”
She and her colleagues demonstrated this principle in mice. After they received systemic immunotherapy, the animals had trouble mounting a primary T-cell response.
The researchers confirmed this finding in samples from patients receiving high-dose interleukin 2 to treat metastatic melanoma.
“We need to be very careful because immunotherapy could be generating both short-term gain and long-term loss,” said study author William Murphy, PhD, also of the University of California, Davis.
“The patients who were receiving immunotherapy were totally shut down, which shows how profoundly we were suppressing the immune system.”
In addition to illuminating how T cells respond to cancer immunotherapy, the study also provides insights into autoimmune disorders. The researchers believe this CD4 paralysis mechanism could play a role in preventing autoimmunity, a hypothesis they supported by testing immunotherapy in a multiple sclerosis model.
By shutting down CD4 T cells, immune stimulation prevented an autoimmune response. This provides the opportunity to paralyze the immune system to prevent autoimmunity or modulate it to accept transplanted cells or entire organs.
“Transplant patients go on immunosuppressants for the rest of their lives, but if we could safely induce paralysis just prior to surgery, it’s possible that patients could develop tolerance,” Dr Sckisel said.
CD4 paralysis may also be co-opted by pathogens, such as HIV, which could use this chronic inflammation response to disable the immune system.
“This really highlights the importance of CD4 T cells,” Dr Murphy said. “The fact that they’re regulated and suppressed means they are definitely the orchestrators we need to take into account. It also shows how smart HIV is. The virus has been telling us CD4 T cells are critical because that’s what it attacks.”
The team’s next step is to continue this research in older mice. Age can bring a measurable loss in immune function, and inflammation may play a role in that process.
“For elderly people who have flu or pneumonia, their immune systems are activated, but maybe they can’t fight anything else,” Dr Murphy said. “This could change how we treat people who are very sick. If we can block pathways that suppress the immune response, we may be able to better fight infection.”
resolution microscope
Image courtesy of UNSW
Early exposure to inflammatory cytokines can “paralyze” CD4 T cells, according to research published in Immunity.
The study suggests this mechanism may act as a firewall, shutting down the immune response before it gets out of hand.
According to researchers, this discovery could lead to more effective immunotherapies for cancer and reduce the need for immunosuppressants in transplant patients, among other applications.
“There’s a 3-signal process to activate T cells, of which each component is essential for proper activation,” said study author Gail Sckisel, PhD, of the University of California, Davis in Sacramento.
“But no one had really looked at what happens if they are delivered out of sequence. If the third signal—cytokines—is given prematurely, it basically paralyzes CD4 T cells.”
To be activated, T cells must first recognize an antigen, receive appropriate costimulatory signals, and then encounter inflammatory cytokines to expand the immune response. Until now, no one realized that sending the third signal early—as is done with some immunotherapies—could actually hamper overall immunity.
“These stimulatory immunotherapies are designed to activate the immune system,” Dr Sckisel explained. “But considering how T cells respond, that approach could damage a patient’s ability to fight off pathogens. While immunotherapies might fight cancer, they may also open the door to opportunistic infections.”
She and her colleagues demonstrated this principle in mice. After they received systemic immunotherapy, the animals had trouble mounting a primary T-cell response.
The researchers confirmed this finding in samples from patients receiving high-dose interleukin 2 to treat metastatic melanoma.
“We need to be very careful because immunotherapy could be generating both short-term gain and long-term loss,” said study author William Murphy, PhD, also of the University of California, Davis.
“The patients who were receiving immunotherapy were totally shut down, which shows how profoundly we were suppressing the immune system.”
In addition to illuminating how T cells respond to cancer immunotherapy, the study also provides insights into autoimmune disorders. The researchers believe this CD4 paralysis mechanism could play a role in preventing autoimmunity, a hypothesis they supported by testing immunotherapy in a multiple sclerosis model.
By shutting down CD4 T cells, immune stimulation prevented an autoimmune response. This provides the opportunity to paralyze the immune system to prevent autoimmunity or modulate it to accept transplanted cells or entire organs.
“Transplant patients go on immunosuppressants for the rest of their lives, but if we could safely induce paralysis just prior to surgery, it’s possible that patients could develop tolerance,” Dr Sckisel said.
CD4 paralysis may also be co-opted by pathogens, such as HIV, which could use this chronic inflammation response to disable the immune system.
“This really highlights the importance of CD4 T cells,” Dr Murphy said. “The fact that they’re regulated and suppressed means they are definitely the orchestrators we need to take into account. It also shows how smart HIV is. The virus has been telling us CD4 T cells are critical because that’s what it attacks.”
The team’s next step is to continue this research in older mice. Age can bring a measurable loss in immune function, and inflammation may play a role in that process.
“For elderly people who have flu or pneumonia, their immune systems are activated, but maybe they can’t fight anything else,” Dr Murphy said. “This could change how we treat people who are very sick. If we can block pathways that suppress the immune response, we may be able to better fight infection.”
NICE drafts guideline for treating myeloma patients
Photo courtesy of NIH
The National Institute for Health and Care Excellence (NICE) has developed a draft guideline detailing “best practices” in caring for patients with myeloma.
It is intended to help ensure “consistently excellent care” for myeloma patients over the age of 16 in England.
The guideline includes recommendations for diagnosing the disease, managing complications, communicating with patients, and ensuring access to appropriate care.
The draft guideline will remain open for public consultation until October 1, 2015.
“Advances in treatment over the last 15 years have seen more people with myeloma living longer, but there is still no cure,” said Mark Baker, clinical practice director for NICE.
“Our guideline, which is being developed by an independent group of experts, will set out best-practice care to ensure people live as normal a life as possible for as long as possible.”
The guideline’s provisional recommendations are as follows.
Communication and support: Offer prompt psychological assessment and support to myeloma patients at diagnosis and, as appropriate, at the beginning and end of each treatment, when the disease progresses, and when patients start to require end-of-life care.
Laboratory investigations to diagnose myeloma: For patients with suspected myeloma, healthcare professionals should use the same sample for all diagnostic and prognostic tests on bone marrow, so patients only have to have one biopsy.
Scans for patients with suspected myeloma: Offer imaging to all patients with a plasma cell disorder suspected to be myeloma. Doctors should consider whole-body MRI as the first imaging procedure.
Service delivery: Each hospital treating patients with myeloma who are over the age of 18 should ensure there is regional access to facilities for intensive inpatient chemotherapy or transplantation, renal support, spinal disease management, specialized pain management, therapeutic apheresis, radiotherapy, restorative dentistry and oral surgery, and clinical trials, particularly early phase trials.
Managing complications: Healthcare professionals should consider extending the pneumococcal vaccination to patients with myeloma who are under 65 in order to prevent infection.
This draft guideline also complements existing NICE guidance on the drug treatment of myeloma. It sets out which treatments—including stem cell transplants—should be used to manage the condition as well as those to prevent and treat bone disease and acute renal disease, which can be caused by myeloma.
Photo courtesy of NIH
The National Institute for Health and Care Excellence (NICE) has developed a draft guideline detailing “best practices” in caring for patients with myeloma.
It is intended to help ensure “consistently excellent care” for myeloma patients over the age of 16 in England.
The guideline includes recommendations for diagnosing the disease, managing complications, communicating with patients, and ensuring access to appropriate care.
The draft guideline will remain open for public consultation until October 1, 2015.
“Advances in treatment over the last 15 years have seen more people with myeloma living longer, but there is still no cure,” said Mark Baker, clinical practice director for NICE.
“Our guideline, which is being developed by an independent group of experts, will set out best-practice care to ensure people live as normal a life as possible for as long as possible.”
The guideline’s provisional recommendations are as follows.
Communication and support: Offer prompt psychological assessment and support to myeloma patients at diagnosis and, as appropriate, at the beginning and end of each treatment, when the disease progresses, and when patients start to require end-of-life care.
Laboratory investigations to diagnose myeloma: For patients with suspected myeloma, healthcare professionals should use the same sample for all diagnostic and prognostic tests on bone marrow, so patients only have to have one biopsy.
Scans for patients with suspected myeloma: Offer imaging to all patients with a plasma cell disorder suspected to be myeloma. Doctors should consider whole-body MRI as the first imaging procedure.
Service delivery: Each hospital treating patients with myeloma who are over the age of 18 should ensure there is regional access to facilities for intensive inpatient chemotherapy or transplantation, renal support, spinal disease management, specialized pain management, therapeutic apheresis, radiotherapy, restorative dentistry and oral surgery, and clinical trials, particularly early phase trials.
Managing complications: Healthcare professionals should consider extending the pneumococcal vaccination to patients with myeloma who are under 65 in order to prevent infection.
This draft guideline also complements existing NICE guidance on the drug treatment of myeloma. It sets out which treatments—including stem cell transplants—should be used to manage the condition as well as those to prevent and treat bone disease and acute renal disease, which can be caused by myeloma.
Photo courtesy of NIH
The National Institute for Health and Care Excellence (NICE) has developed a draft guideline detailing “best practices” in caring for patients with myeloma.
It is intended to help ensure “consistently excellent care” for myeloma patients over the age of 16 in England.
The guideline includes recommendations for diagnosing the disease, managing complications, communicating with patients, and ensuring access to appropriate care.
The draft guideline will remain open for public consultation until October 1, 2015.
“Advances in treatment over the last 15 years have seen more people with myeloma living longer, but there is still no cure,” said Mark Baker, clinical practice director for NICE.
“Our guideline, which is being developed by an independent group of experts, will set out best-practice care to ensure people live as normal a life as possible for as long as possible.”
The guideline’s provisional recommendations are as follows.
Communication and support: Offer prompt psychological assessment and support to myeloma patients at diagnosis and, as appropriate, at the beginning and end of each treatment, when the disease progresses, and when patients start to require end-of-life care.
Laboratory investigations to diagnose myeloma: For patients with suspected myeloma, healthcare professionals should use the same sample for all diagnostic and prognostic tests on bone marrow, so patients only have to have one biopsy.
Scans for patients with suspected myeloma: Offer imaging to all patients with a plasma cell disorder suspected to be myeloma. Doctors should consider whole-body MRI as the first imaging procedure.
Service delivery: Each hospital treating patients with myeloma who are over the age of 18 should ensure there is regional access to facilities for intensive inpatient chemotherapy or transplantation, renal support, spinal disease management, specialized pain management, therapeutic apheresis, radiotherapy, restorative dentistry and oral surgery, and clinical trials, particularly early phase trials.
Managing complications: Healthcare professionals should consider extending the pneumococcal vaccination to patients with myeloma who are under 65 in order to prevent infection.
This draft guideline also complements existing NICE guidance on the drug treatment of myeloma. It sets out which treatments—including stem cell transplants—should be used to manage the condition as well as those to prevent and treat bone disease and acute renal disease, which can be caused by myeloma.
Primary Medication Nonadherence
Medication nonadherence after hospital discharge impacts morbidity and mortality in patients with cardiovascular disease.[1] Primary nonadherence, part of the spectrum of medication underuse, occurs when a patient receives a prescription but does not fill it.[1] Prior studies utilizing retrospective administrative data have found a prevalence of postdischarge primary nonadherence between 24% and 28%,[1, 2] similar to findings in a variety of outpatient populations.[3, 4]
One strategy for reduction in nonadherence is discharge medication counseling, which has been associated with improved postdischarge outcomes.[1] We evaluated the prevalence and predictors of refractory primary nonadherence in a cohort of patients hospitalized for acute cardiovascular conditions who received pharmacist counseling prior to discharge to guide future adherence interventions.
METHODS
Setting and Participants
The present study represents a secondary analysis of data from the Pharmacist Intervention for Low Literacy in Cardiovascular Disease (PILL‐CVD) study. PILL‐CVD was a randomized controlled trial that evaluated the effect of a tailored intervention consisting of pharmacist‐assisted medication reconciliation, discharge counseling, low‐literacy adherence aids, and follow‐up phone calls in adults hospitalized for acute coronary syndromes or acute decompensated heart failure. Patients likely to be discharged home taking primary responsibility for their medication management were eligible. Full study methods and results, including inclusion and exclusion criteria, can be found elsewhere.[5] The institutional review boards of each site approved the study.
For the present analysis, patients were included if they had any new discharge prescriptions to fill and received the study intervention, including a postdischarge follow‐up phone call with questions about filling discharge prescriptions.
Baseline Measures
Baseline data were obtained from medical records and patient interviews, including demographic information as well as survey data for cognitive impairment (Mini‐Cog) and health literacy (Short Test of Functional Health Literacy in Adults).[6, 7]
Data were also collected related to medication use, including the number of scheduled and as‐needed medications listed at discharge, self‐reported preadmission adherence, medication understanding, and medication management practices (eg, use of a pillbox, refill reminders). Self‐reported medication adherence was measured with the 4‐item Morisky scale.[8] Medication understanding was assessed with a tool previously developed by Marvanova et al.[9]
Outcome Measures
The primary outcome was the percentage of patients who reported not filling at least 1 discharge prescription on a telephone call that was conducted 1 to 4 days postdischarge. Patients were asked a dichotomous question about whether or not they filled all of their discharge prescriptions. Further characterization of the class or number of medications not filled was not performed. Patients were asked to provide a reason for not filling the prescriptions.
Analysis
We evaluated the prevalence and possible predictors of primary nonadherence including age, gender, race, marital status, education and income levels, insurance type, health literacy, cognition, presence of a primary care physician, number of listed discharge medications, prehospital medication adherence, medication understanding, and medication management practices using Pearson 2, Fisher exact, or Wilcoxon rank sum tests as appropriate. Multiple logistic regression with backward elimination was performed to identify independent predictors, selected with P values<0.1. We also evaluated reasons that patients cited for not filling prescriptions. Two‐sided P values<0.05 were considered statistically significant. All analyses were conducted using Stata version 13.1 (StataCorp LP, College Station, TX).
RESULTS
Of 851 patients in the PILL‐CVD study, the present sample includes 341 patients who received the intervention, completed the postdischarge follow‐up call, and had new discharge prescriptions to be filled. This represents 85% of patients who received the intervention.
The mean age of participants was 61.3 years, and 59.5% were male (Table 1). The majority were white (75.1%), and 88% had at least a high school education. Married or cohabitating patients represented 54.3% of the group. Just over half of the patients (54%) had an income of $35K or greater. The primary source of insurance for 82.5% of patients was either Medicare or private insurance, and 7.4% of patients were self‐pay. Most patients (80%) had adequate health literacy. The median Mini‐Cog score was 4 out of 5 (interquartile range [IQR]=35), and 11% of patients had scores indicating cognitive impairment. Just less than one‐fourth of the patients (24.1%) had a Morisky score of 8, indicating high self‐reported adherence, and the median score of patients' understanding of medications (range of 03) was 2.5 (IQR=2.22.8), reflecting relatively high understanding. The median number of prescriptions on patients' discharge medications lists was 10 (IQR=813).
Variable | Overall 341 (100.0%) | Filled Prescription309 (90.6%) | Did Not Fill 32 (9.4%) | P Value |
---|---|---|---|---|
| ||||
Age, y, N (%) | 0.745a | |||
1849 | 69 | 63 (91.3) | 6 (8.7) | |
5064 | 128 | 114 (89.1) | 14 (10.9) | |
65+ | 144 | 132 (91.7) | 12 (8.3) | |
Gender, N (%) | 0.056a | |||
Male | 203 | 189 (93.1) | 14 (6.9) | |
Female | 138 | 120 (87.0) | 18 (13.0) | |
Race, N (%) | 0.712a | |||
White | 256 | 234 (91.4) | 22 (8.6) | |
African American | 60 | 54 (90.0) | 6 (10.0) | |
Other | 22 | 19 (86.4) | 3 (13.6) | |
Education, N (%) | 0.054a | |||
Less than high school | 40 | 32 (80.0) | 8 (20.0) | |
High school | 99 | 91 (91.9) | 8 (8.1) | |
1315 years | 93 | 83 (89.2) | 10 (10.8) | |
16 years | 109 | 103 (94.5) | 6 (5.5) | |
Marital status, N (%) | ||||
Separated/divorced/widowed/never married | 156 | 135 (86.5) | 21 (13.5) | 0.018a, b |
Married/cohabitating | 185 | 174 (94.1) | 11 (5.9) | |
Income, N (%) | 0.040a, b | |||
<10K<20K | 58 | 48 (82.8) | 10 (17.2) | |
20K35K | 86 | 76 (88.4) | 10 (11.6) | |
35K<50K | 40 | 36 (90.0) | 4 (10.0) | |
50K<75K | 46 | 43 (93.5) | 3 (6.5) | |
75K+ | 83 | 81 (97.6) | 2 (2.4) | |
Primary source of payment, N (%) | 0.272a | |||
Medicaid | 34 | 28 (82.4) | 6 (17.6) | |
Medicare | 145 | 131 (90.3) | 14 (9.7) | |
Private | 132 | 123 (93.2) | 9 (6.8) | |
Self‐pay | 25 | 22 (88.0) | 3 (12.0) | |
Primary care physician, N (%) | 1.000c | |||
None/do not know | 28 | 26 (92.9) | 2 (7.1) | |
Yes | 313 | 283 (90.4) | 30 (9.6) | |
Site, N (%) | 0.071a | |||
Nashville, TN | 172 | 151 (87.8) | 21 (12.2) | |
Boston, MA | 169 | 158 (93.5) | 11 (6.5) |
The prevalence of refractory primary nonadherence was 9.4%. In univariate analysis, single marital status, lower income, and having more than 10 total discharge medications were significantly associated with not filling medications (P=0.018, 0.04, 0.016, respectively; Table 1). In multivariable analysis, single marital status and having more than 10 total discharge medications maintained significance when controlling for other patient characteristics. Patients who were single had higher odds of failing to fill discharge prescriptions compared to married or cohabitating individuals (odds ratio [OR]: 2.2, 95% confidence interval [CI]: 1.014.8, P=0.047). Patients with more than 10 discharge medications also had higher odds of failing to fill compared with patients who had fewer total medications (OR: 2.3, 95% CI: 1.054.98, P=0.036).
Filling discharge prescriptions was not associated with health literacy, cognition, prehospital adherence, patients' medication understanding, or any of the surveyed medication management practices (Table 2). Patients' reasons for not filling included lack of time to go to the pharmacy, medications not being delivered or dispensed, or inability to afford prescriptions. Prescription cost was cited by 23.5% of patients who did not fill their prescriptions and provided a reason.
Variable | Overall 341 (100.0%) | Filled Prescription 309 (90.6%) | Did Not Fill 32 (9.4%) | P Value |
---|---|---|---|---|
| ||||
s‐TOFHLA score, range 036, N (%) | 0.443a | |||
Inadequate, 016 | 40 | 34 (85.0) | 6 (15.0) | |
Marginal, 1722 | 27 | 25 (92.6) | 2 (7.4) | |
Adequate, 2336 | 268 | 244 (91.0) | 24 (9.0) | |
MiniCog score, range 05, N (%) | 0.764b | |||
Not impaired, 35 | 304 | 276 (90.8) | 28 (9.2) | |
Impaired, 02 | 37 | 33 (89.2) | 4 (10.8) | |
Morisky score, range 48, N (%) | 0.517a | |||
Low/moderate self‐reported adherence, 47 | 249 | 224 (90.0) | 25 (10.0) | |
High self‐reported adherence, 8 | 79 | 73 (92.4) | 6 (7.6) | |
No. of discharge medications, range 126, N (%)c | 0.016a | |||
010 medications | 186 | 175 (94.1) | 11 (5.9) | |
11+medications | 155 | 134 (86.5) | 21 (13.5) | |
Patient responses to medication behavior questions | ||||
Patient associates medication taking time with daily events | 253 | 229 (90.5) | 24 (9.5) | 0.913a |
Patient uses a pillbox to organize medicine | 180 | 162 (90.0) | 18 (10.0) | 0.680a |
Friends of family help remind patient when it is time to take medicine | 89 | 79 (88.8) | 10 (11.2) | 0.486a |
Patient writes down instructions for when to take medicine | 60 | 55 (91.7) | 5 (8.3) | 0.758a |
Patient uses an alarm or a reminder that beeps when it is time to take medicine | 8 | 6 (75.0) | 2 (25.0) | 0.167a |
Patient marks refill date on calendar | 38 | 35 (92.1) | 3 (7.9) | 1.000b |
Pharmacy gives or sends patient a reminder when it is time to refill medicine | 94 | 84 (89.4) | 10 (10.6) | 0.624a |
Friends or family help patient to refill medicine | 60 | 53 (88.3) | 7 (11.7) | 0.504a |
DISCUSSION
Almost 1 in 10 patients hospitalized with cardiovascular disease demonstrated primary nonadherence refractory to an intervention including pharmacist discharge medication counseling. Being unmarried and having greater than 10 medications at discharge were significantly associated with higher primary nonadherence when controlling for other patient factors.
Patients with a cohabitant partner were significantly less likely to exhibit primary nonadherence, which may reflect higher levels of social support, including encouragement for disease self‐management and/or support with tasks such as picking up medications from the pharmacy. Previous research has demonstrated that social support mediates outpatient medication adherence for heart failure patients.[10]
Similar to Jackevicius et al., we found that patients with more medications at discharge were less likely to fill their prescriptions.[1] These findings may reflect the challenges that patients face in adhering to complex treatment plans, which are associated with increased coordination and cost. Conversely, some prior studies have found that patients with fewer prescriptions were less likely to fill.[11, 12] These patients were often younger, thus potentially less conditioned to fill prescriptions, and unlike our cohort, these populations had consistent prescription coverage. Interventions for polypharmacy, which have been shown to improve outcomes and decrease costs, especially in the geriatric population, may be of benefit for primary nonadherence as well.[13]
Additionally, patients with lower household incomes had higher rates of primary nonadherence, at least in univariate analysis. Medication cost and transportation limitations, which are more pronounced in lower‐income patients, likely play influential roles in this group. These findings build on prior literature that has found lower prescription cost to be associated with better medication adherence in a variety of settings.[3, 4, 14]
Because the prevalence of primary nonadherence in this cohort is less than half of historical rates, we suspect the intervention did reduce unintentional nonadherence. However, regimen cost and complexity, transportation challenges, and ingrained medication beliefs likely remained barriers. It may be that a postdischarge phone call is able address unintended primary nonadherence in many cases. Meds to beds programs, where a supply of medications is provided to patients prior to discharge, could assist patients with limited transportation. Prior studies have also found reduced primary nonadherence when e‐prescriptions are utilized.[3]
Establishing outpatient follow‐up at discharge provides additional opportunities to address unanticipated adherence barriers. Because the efficacy of any adherence intervention depends on individual patient barriers, we recommend combining medication counseling with a targeted approach for patient‐specific needs.
We note several limitations to our study. First, because we studied primary nonadherence that persisted despite an intervention, this cohort likely underestimates the prevalence of primary nonadherence and alters the associated patient characteristics found in routine practice (although counseling is becoming more common). Second, patient reporting is subject to biases that underestimate nonadherence, although this approach has been validated previously.[15] Third, our outcome measure was unable to capture the spectrum of non‐adherence that could provide a more nuanced look at predictors of postdischarge nonadherence. Fourth, we did not have patient copayment data to better characterize whether out of pocket costs or pharmacologic classes drove nonadherence. Finally, sample size may have limited the detection of other important factors, and the university setting may limit generalizability to cardiovascular patients in other practice environments. Future research should focus on intervention strategies that assess patients' individual adherence barriers for a targeted or multimodal approach to improve adherence.
In conclusion, we found a prevalence of primary nonadherence of almost 1 in 10 patients who received pharmacist counseling. Nonadherence was associated with being single and those discharged with longer medication lists. Our results support existing literature that primary nonadherence is a significant problem in the postdischarge setting and substantiate the need for ongoing efforts to study and implement interventions for adherence after hospital discharge.
Disclosures
This material is based on work supported by the Office of Academic Affiliations, Department of Veterans Affairs, Veterans Affairs National Quality Scholars Program, and with use of facilities at Veterans Affairs Tennessee Valley Healthcare System, Nashville, Tennessee (Dr. Wooldridge). The funding agency supported the work indirectly through provision of salary support and training for the primary author, but had no specific role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; or decision to submit the manuscript for publication. This work was also supported by R01 HL089755 (Dr. Kripalani) and in part by K23 HL077597 (Dr. Kripalani), K08 HL072806 (Dr. Schnipper), and the Center for Clinical Quality and Implementation Research at Vanderbilt University Medical Center. A preliminary version of this research was presented at the AcademyHealth Annual Research Meeting, June 16, 2015, Minneapolis, Minnesota. The authors report the following potential conflicts of interest: Jeffrey Schnipper: PI, investigator‐initiated study funded by Sanofi‐Aventis to develop, implement, and evaluate a multifaceted intervention to improve transitions of care in patients with diabetes mellitus discharged on insulin. Robert Dittus: passive co‐owner, Medical Decision Modeling, Inc.; Bayer HealthCare. One‐day consultation and panelist on educational video for population health (consultant fee); GlaxoSmithKline. One‐day consultant for population health, envisioning the future (consultant fee). Sunil Kripalani: Bioscape Digital, stock ownership
- Prevalence, predictors, and outcomes of primary nonadherence after acute myocardial infarction. Circulation. 2008;117(8):1028–1036. , , .
- Primary medication non‐adherence after discharge from a general internal medicine service. PloS One. 2013;8(5):e61735. , , , .
- Trouble getting started: predictors of primary medication nonadherence. Am J Med. 2011;124(11):1081.e9–22. , , , et al.
- The incidence and determinants of primary nonadherence with prescribed medication in primary care: a cohort study. Ann Intern Med. 2014;160(7):441–450. , , , , .
- Effect of a pharmacist intervention on clinically important medication errors after hospital discharge: a randomized trial. Ann Intern Med. 2012;157(1):1–10. , , , et al.
- Short Test of Functional Health Literacy in Adults. Snow Camp, NC: Peppercorn Books and Press; 1998. , , , .
- Simplifying detection of cognitive impairment: comparison of the Mini‐Cog and Mini‐Mental State Examination in a multiethnic sample. J Am Geriatr Soc. 2005;53(5):871–874. , , , , .
- Concurrent and predictive validity of a self‐reported measure of medication adherence. Med Care. 1986;24(1):67–74. , , .
- Health literacy and medication understanding among hospitalized adults. J Hosp Med. 2011;6(9):488–493. , , , , , .
- Medication adherence, social support, and event‐free survival in patients with heart failure. Health Psychol. 2013;32(6):637–646. , , , , , .
- Effect of patient comorbidities on filling of antihypertensive prescriptions. Am J Manag Care. 2009;15(1):24–30. , , , , , .
- Primary nonadherence to statin medications in a managed care organization. J Manag Care Pharm. 2013;19(5):367–373. , , , et al.
- Reducing cost by reducing polypharmacy: the polypharmacy outcomes project. J Am Med Dir Assoc. 2012;13(9):818.e811–815. , , , et al.
- The epidemiology of prescriptions abandoned at the pharmacy. Ann Intern Med. 2010;153(10):633–640. , , , et al.
- Can simple clinical measurements detect patient noncompliance? Hypertension. 1980;2(6):757–764. , , , , , .
Medication nonadherence after hospital discharge impacts morbidity and mortality in patients with cardiovascular disease.[1] Primary nonadherence, part of the spectrum of medication underuse, occurs when a patient receives a prescription but does not fill it.[1] Prior studies utilizing retrospective administrative data have found a prevalence of postdischarge primary nonadherence between 24% and 28%,[1, 2] similar to findings in a variety of outpatient populations.[3, 4]
One strategy for reduction in nonadherence is discharge medication counseling, which has been associated with improved postdischarge outcomes.[1] We evaluated the prevalence and predictors of refractory primary nonadherence in a cohort of patients hospitalized for acute cardiovascular conditions who received pharmacist counseling prior to discharge to guide future adherence interventions.
METHODS
Setting and Participants
The present study represents a secondary analysis of data from the Pharmacist Intervention for Low Literacy in Cardiovascular Disease (PILL‐CVD) study. PILL‐CVD was a randomized controlled trial that evaluated the effect of a tailored intervention consisting of pharmacist‐assisted medication reconciliation, discharge counseling, low‐literacy adherence aids, and follow‐up phone calls in adults hospitalized for acute coronary syndromes or acute decompensated heart failure. Patients likely to be discharged home taking primary responsibility for their medication management were eligible. Full study methods and results, including inclusion and exclusion criteria, can be found elsewhere.[5] The institutional review boards of each site approved the study.
For the present analysis, patients were included if they had any new discharge prescriptions to fill and received the study intervention, including a postdischarge follow‐up phone call with questions about filling discharge prescriptions.
Baseline Measures
Baseline data were obtained from medical records and patient interviews, including demographic information as well as survey data for cognitive impairment (Mini‐Cog) and health literacy (Short Test of Functional Health Literacy in Adults).[6, 7]
Data were also collected related to medication use, including the number of scheduled and as‐needed medications listed at discharge, self‐reported preadmission adherence, medication understanding, and medication management practices (eg, use of a pillbox, refill reminders). Self‐reported medication adherence was measured with the 4‐item Morisky scale.[8] Medication understanding was assessed with a tool previously developed by Marvanova et al.[9]
Outcome Measures
The primary outcome was the percentage of patients who reported not filling at least 1 discharge prescription on a telephone call that was conducted 1 to 4 days postdischarge. Patients were asked a dichotomous question about whether or not they filled all of their discharge prescriptions. Further characterization of the class or number of medications not filled was not performed. Patients were asked to provide a reason for not filling the prescriptions.
Analysis
We evaluated the prevalence and possible predictors of primary nonadherence including age, gender, race, marital status, education and income levels, insurance type, health literacy, cognition, presence of a primary care physician, number of listed discharge medications, prehospital medication adherence, medication understanding, and medication management practices using Pearson 2, Fisher exact, or Wilcoxon rank sum tests as appropriate. Multiple logistic regression with backward elimination was performed to identify independent predictors, selected with P values<0.1. We also evaluated reasons that patients cited for not filling prescriptions. Two‐sided P values<0.05 were considered statistically significant. All analyses were conducted using Stata version 13.1 (StataCorp LP, College Station, TX).
RESULTS
Of 851 patients in the PILL‐CVD study, the present sample includes 341 patients who received the intervention, completed the postdischarge follow‐up call, and had new discharge prescriptions to be filled. This represents 85% of patients who received the intervention.
The mean age of participants was 61.3 years, and 59.5% were male (Table 1). The majority were white (75.1%), and 88% had at least a high school education. Married or cohabitating patients represented 54.3% of the group. Just over half of the patients (54%) had an income of $35K or greater. The primary source of insurance for 82.5% of patients was either Medicare or private insurance, and 7.4% of patients were self‐pay. Most patients (80%) had adequate health literacy. The median Mini‐Cog score was 4 out of 5 (interquartile range [IQR]=35), and 11% of patients had scores indicating cognitive impairment. Just less than one‐fourth of the patients (24.1%) had a Morisky score of 8, indicating high self‐reported adherence, and the median score of patients' understanding of medications (range of 03) was 2.5 (IQR=2.22.8), reflecting relatively high understanding. The median number of prescriptions on patients' discharge medications lists was 10 (IQR=813).
Variable | Overall 341 (100.0%) | Filled Prescription309 (90.6%) | Did Not Fill 32 (9.4%) | P Value |
---|---|---|---|---|
| ||||
Age, y, N (%) | 0.745a | |||
1849 | 69 | 63 (91.3) | 6 (8.7) | |
5064 | 128 | 114 (89.1) | 14 (10.9) | |
65+ | 144 | 132 (91.7) | 12 (8.3) | |
Gender, N (%) | 0.056a | |||
Male | 203 | 189 (93.1) | 14 (6.9) | |
Female | 138 | 120 (87.0) | 18 (13.0) | |
Race, N (%) | 0.712a | |||
White | 256 | 234 (91.4) | 22 (8.6) | |
African American | 60 | 54 (90.0) | 6 (10.0) | |
Other | 22 | 19 (86.4) | 3 (13.6) | |
Education, N (%) | 0.054a | |||
Less than high school | 40 | 32 (80.0) | 8 (20.0) | |
High school | 99 | 91 (91.9) | 8 (8.1) | |
1315 years | 93 | 83 (89.2) | 10 (10.8) | |
16 years | 109 | 103 (94.5) | 6 (5.5) | |
Marital status, N (%) | ||||
Separated/divorced/widowed/never married | 156 | 135 (86.5) | 21 (13.5) | 0.018a, b |
Married/cohabitating | 185 | 174 (94.1) | 11 (5.9) | |
Income, N (%) | 0.040a, b | |||
<10K<20K | 58 | 48 (82.8) | 10 (17.2) | |
20K35K | 86 | 76 (88.4) | 10 (11.6) | |
35K<50K | 40 | 36 (90.0) | 4 (10.0) | |
50K<75K | 46 | 43 (93.5) | 3 (6.5) | |
75K+ | 83 | 81 (97.6) | 2 (2.4) | |
Primary source of payment, N (%) | 0.272a | |||
Medicaid | 34 | 28 (82.4) | 6 (17.6) | |
Medicare | 145 | 131 (90.3) | 14 (9.7) | |
Private | 132 | 123 (93.2) | 9 (6.8) | |
Self‐pay | 25 | 22 (88.0) | 3 (12.0) | |
Primary care physician, N (%) | 1.000c | |||
None/do not know | 28 | 26 (92.9) | 2 (7.1) | |
Yes | 313 | 283 (90.4) | 30 (9.6) | |
Site, N (%) | 0.071a | |||
Nashville, TN | 172 | 151 (87.8) | 21 (12.2) | |
Boston, MA | 169 | 158 (93.5) | 11 (6.5) |
The prevalence of refractory primary nonadherence was 9.4%. In univariate analysis, single marital status, lower income, and having more than 10 total discharge medications were significantly associated with not filling medications (P=0.018, 0.04, 0.016, respectively; Table 1). In multivariable analysis, single marital status and having more than 10 total discharge medications maintained significance when controlling for other patient characteristics. Patients who were single had higher odds of failing to fill discharge prescriptions compared to married or cohabitating individuals (odds ratio [OR]: 2.2, 95% confidence interval [CI]: 1.014.8, P=0.047). Patients with more than 10 discharge medications also had higher odds of failing to fill compared with patients who had fewer total medications (OR: 2.3, 95% CI: 1.054.98, P=0.036).
Filling discharge prescriptions was not associated with health literacy, cognition, prehospital adherence, patients' medication understanding, or any of the surveyed medication management practices (Table 2). Patients' reasons for not filling included lack of time to go to the pharmacy, medications not being delivered or dispensed, or inability to afford prescriptions. Prescription cost was cited by 23.5% of patients who did not fill their prescriptions and provided a reason.
Variable | Overall 341 (100.0%) | Filled Prescription 309 (90.6%) | Did Not Fill 32 (9.4%) | P Value |
---|---|---|---|---|
| ||||
s‐TOFHLA score, range 036, N (%) | 0.443a | |||
Inadequate, 016 | 40 | 34 (85.0) | 6 (15.0) | |
Marginal, 1722 | 27 | 25 (92.6) | 2 (7.4) | |
Adequate, 2336 | 268 | 244 (91.0) | 24 (9.0) | |
MiniCog score, range 05, N (%) | 0.764b | |||
Not impaired, 35 | 304 | 276 (90.8) | 28 (9.2) | |
Impaired, 02 | 37 | 33 (89.2) | 4 (10.8) | |
Morisky score, range 48, N (%) | 0.517a | |||
Low/moderate self‐reported adherence, 47 | 249 | 224 (90.0) | 25 (10.0) | |
High self‐reported adherence, 8 | 79 | 73 (92.4) | 6 (7.6) | |
No. of discharge medications, range 126, N (%)c | 0.016a | |||
010 medications | 186 | 175 (94.1) | 11 (5.9) | |
11+medications | 155 | 134 (86.5) | 21 (13.5) | |
Patient responses to medication behavior questions | ||||
Patient associates medication taking time with daily events | 253 | 229 (90.5) | 24 (9.5) | 0.913a |
Patient uses a pillbox to organize medicine | 180 | 162 (90.0) | 18 (10.0) | 0.680a |
Friends of family help remind patient when it is time to take medicine | 89 | 79 (88.8) | 10 (11.2) | 0.486a |
Patient writes down instructions for when to take medicine | 60 | 55 (91.7) | 5 (8.3) | 0.758a |
Patient uses an alarm or a reminder that beeps when it is time to take medicine | 8 | 6 (75.0) | 2 (25.0) | 0.167a |
Patient marks refill date on calendar | 38 | 35 (92.1) | 3 (7.9) | 1.000b |
Pharmacy gives or sends patient a reminder when it is time to refill medicine | 94 | 84 (89.4) | 10 (10.6) | 0.624a |
Friends or family help patient to refill medicine | 60 | 53 (88.3) | 7 (11.7) | 0.504a |
DISCUSSION
Almost 1 in 10 patients hospitalized with cardiovascular disease demonstrated primary nonadherence refractory to an intervention including pharmacist discharge medication counseling. Being unmarried and having greater than 10 medications at discharge were significantly associated with higher primary nonadherence when controlling for other patient factors.
Patients with a cohabitant partner were significantly less likely to exhibit primary nonadherence, which may reflect higher levels of social support, including encouragement for disease self‐management and/or support with tasks such as picking up medications from the pharmacy. Previous research has demonstrated that social support mediates outpatient medication adherence for heart failure patients.[10]
Similar to Jackevicius et al., we found that patients with more medications at discharge were less likely to fill their prescriptions.[1] These findings may reflect the challenges that patients face in adhering to complex treatment plans, which are associated with increased coordination and cost. Conversely, some prior studies have found that patients with fewer prescriptions were less likely to fill.[11, 12] These patients were often younger, thus potentially less conditioned to fill prescriptions, and unlike our cohort, these populations had consistent prescription coverage. Interventions for polypharmacy, which have been shown to improve outcomes and decrease costs, especially in the geriatric population, may be of benefit for primary nonadherence as well.[13]
Additionally, patients with lower household incomes had higher rates of primary nonadherence, at least in univariate analysis. Medication cost and transportation limitations, which are more pronounced in lower‐income patients, likely play influential roles in this group. These findings build on prior literature that has found lower prescription cost to be associated with better medication adherence in a variety of settings.[3, 4, 14]
Because the prevalence of primary nonadherence in this cohort is less than half of historical rates, we suspect the intervention did reduce unintentional nonadherence. However, regimen cost and complexity, transportation challenges, and ingrained medication beliefs likely remained barriers. It may be that a postdischarge phone call is able address unintended primary nonadherence in many cases. Meds to beds programs, where a supply of medications is provided to patients prior to discharge, could assist patients with limited transportation. Prior studies have also found reduced primary nonadherence when e‐prescriptions are utilized.[3]
Establishing outpatient follow‐up at discharge provides additional opportunities to address unanticipated adherence barriers. Because the efficacy of any adherence intervention depends on individual patient barriers, we recommend combining medication counseling with a targeted approach for patient‐specific needs.
We note several limitations to our study. First, because we studied primary nonadherence that persisted despite an intervention, this cohort likely underestimates the prevalence of primary nonadherence and alters the associated patient characteristics found in routine practice (although counseling is becoming more common). Second, patient reporting is subject to biases that underestimate nonadherence, although this approach has been validated previously.[15] Third, our outcome measure was unable to capture the spectrum of non‐adherence that could provide a more nuanced look at predictors of postdischarge nonadherence. Fourth, we did not have patient copayment data to better characterize whether out of pocket costs or pharmacologic classes drove nonadherence. Finally, sample size may have limited the detection of other important factors, and the university setting may limit generalizability to cardiovascular patients in other practice environments. Future research should focus on intervention strategies that assess patients' individual adherence barriers for a targeted or multimodal approach to improve adherence.
In conclusion, we found a prevalence of primary nonadherence of almost 1 in 10 patients who received pharmacist counseling. Nonadherence was associated with being single and those discharged with longer medication lists. Our results support existing literature that primary nonadherence is a significant problem in the postdischarge setting and substantiate the need for ongoing efforts to study and implement interventions for adherence after hospital discharge.
Disclosures
This material is based on work supported by the Office of Academic Affiliations, Department of Veterans Affairs, Veterans Affairs National Quality Scholars Program, and with use of facilities at Veterans Affairs Tennessee Valley Healthcare System, Nashville, Tennessee (Dr. Wooldridge). The funding agency supported the work indirectly through provision of salary support and training for the primary author, but had no specific role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; or decision to submit the manuscript for publication. This work was also supported by R01 HL089755 (Dr. Kripalani) and in part by K23 HL077597 (Dr. Kripalani), K08 HL072806 (Dr. Schnipper), and the Center for Clinical Quality and Implementation Research at Vanderbilt University Medical Center. A preliminary version of this research was presented at the AcademyHealth Annual Research Meeting, June 16, 2015, Minneapolis, Minnesota. The authors report the following potential conflicts of interest: Jeffrey Schnipper: PI, investigator‐initiated study funded by Sanofi‐Aventis to develop, implement, and evaluate a multifaceted intervention to improve transitions of care in patients with diabetes mellitus discharged on insulin. Robert Dittus: passive co‐owner, Medical Decision Modeling, Inc.; Bayer HealthCare. One‐day consultation and panelist on educational video for population health (consultant fee); GlaxoSmithKline. One‐day consultant for population health, envisioning the future (consultant fee). Sunil Kripalani: Bioscape Digital, stock ownership
Medication nonadherence after hospital discharge impacts morbidity and mortality in patients with cardiovascular disease.[1] Primary nonadherence, part of the spectrum of medication underuse, occurs when a patient receives a prescription but does not fill it.[1] Prior studies utilizing retrospective administrative data have found a prevalence of postdischarge primary nonadherence between 24% and 28%,[1, 2] similar to findings in a variety of outpatient populations.[3, 4]
One strategy for reduction in nonadherence is discharge medication counseling, which has been associated with improved postdischarge outcomes.[1] We evaluated the prevalence and predictors of refractory primary nonadherence in a cohort of patients hospitalized for acute cardiovascular conditions who received pharmacist counseling prior to discharge to guide future adherence interventions.
METHODS
Setting and Participants
The present study represents a secondary analysis of data from the Pharmacist Intervention for Low Literacy in Cardiovascular Disease (PILL‐CVD) study. PILL‐CVD was a randomized controlled trial that evaluated the effect of a tailored intervention consisting of pharmacist‐assisted medication reconciliation, discharge counseling, low‐literacy adherence aids, and follow‐up phone calls in adults hospitalized for acute coronary syndromes or acute decompensated heart failure. Patients likely to be discharged home taking primary responsibility for their medication management were eligible. Full study methods and results, including inclusion and exclusion criteria, can be found elsewhere.[5] The institutional review boards of each site approved the study.
For the present analysis, patients were included if they had any new discharge prescriptions to fill and received the study intervention, including a postdischarge follow‐up phone call with questions about filling discharge prescriptions.
Baseline Measures
Baseline data were obtained from medical records and patient interviews, including demographic information as well as survey data for cognitive impairment (Mini‐Cog) and health literacy (Short Test of Functional Health Literacy in Adults).[6, 7]
Data were also collected related to medication use, including the number of scheduled and as‐needed medications listed at discharge, self‐reported preadmission adherence, medication understanding, and medication management practices (eg, use of a pillbox, refill reminders). Self‐reported medication adherence was measured with the 4‐item Morisky scale.[8] Medication understanding was assessed with a tool previously developed by Marvanova et al.[9]
Outcome Measures
The primary outcome was the percentage of patients who reported not filling at least 1 discharge prescription on a telephone call that was conducted 1 to 4 days postdischarge. Patients were asked a dichotomous question about whether or not they filled all of their discharge prescriptions. Further characterization of the class or number of medications not filled was not performed. Patients were asked to provide a reason for not filling the prescriptions.
Analysis
We evaluated the prevalence and possible predictors of primary nonadherence including age, gender, race, marital status, education and income levels, insurance type, health literacy, cognition, presence of a primary care physician, number of listed discharge medications, prehospital medication adherence, medication understanding, and medication management practices using Pearson 2, Fisher exact, or Wilcoxon rank sum tests as appropriate. Multiple logistic regression with backward elimination was performed to identify independent predictors, selected with P values<0.1. We also evaluated reasons that patients cited for not filling prescriptions. Two‐sided P values<0.05 were considered statistically significant. All analyses were conducted using Stata version 13.1 (StataCorp LP, College Station, TX).
RESULTS
Of 851 patients in the PILL‐CVD study, the present sample includes 341 patients who received the intervention, completed the postdischarge follow‐up call, and had new discharge prescriptions to be filled. This represents 85% of patients who received the intervention.
The mean age of participants was 61.3 years, and 59.5% were male (Table 1). The majority were white (75.1%), and 88% had at least a high school education. Married or cohabitating patients represented 54.3% of the group. Just over half of the patients (54%) had an income of $35K or greater. The primary source of insurance for 82.5% of patients was either Medicare or private insurance, and 7.4% of patients were self‐pay. Most patients (80%) had adequate health literacy. The median Mini‐Cog score was 4 out of 5 (interquartile range [IQR]=35), and 11% of patients had scores indicating cognitive impairment. Just less than one‐fourth of the patients (24.1%) had a Morisky score of 8, indicating high self‐reported adherence, and the median score of patients' understanding of medications (range of 03) was 2.5 (IQR=2.22.8), reflecting relatively high understanding. The median number of prescriptions on patients' discharge medications lists was 10 (IQR=813).
Variable | Overall 341 (100.0%) | Filled Prescription309 (90.6%) | Did Not Fill 32 (9.4%) | P Value |
---|---|---|---|---|
| ||||
Age, y, N (%) | 0.745a | |||
1849 | 69 | 63 (91.3) | 6 (8.7) | |
5064 | 128 | 114 (89.1) | 14 (10.9) | |
65+ | 144 | 132 (91.7) | 12 (8.3) | |
Gender, N (%) | 0.056a | |||
Male | 203 | 189 (93.1) | 14 (6.9) | |
Female | 138 | 120 (87.0) | 18 (13.0) | |
Race, N (%) | 0.712a | |||
White | 256 | 234 (91.4) | 22 (8.6) | |
African American | 60 | 54 (90.0) | 6 (10.0) | |
Other | 22 | 19 (86.4) | 3 (13.6) | |
Education, N (%) | 0.054a | |||
Less than high school | 40 | 32 (80.0) | 8 (20.0) | |
High school | 99 | 91 (91.9) | 8 (8.1) | |
1315 years | 93 | 83 (89.2) | 10 (10.8) | |
16 years | 109 | 103 (94.5) | 6 (5.5) | |
Marital status, N (%) | ||||
Separated/divorced/widowed/never married | 156 | 135 (86.5) | 21 (13.5) | 0.018a, b |
Married/cohabitating | 185 | 174 (94.1) | 11 (5.9) | |
Income, N (%) | 0.040a, b | |||
<10K<20K | 58 | 48 (82.8) | 10 (17.2) | |
20K35K | 86 | 76 (88.4) | 10 (11.6) | |
35K<50K | 40 | 36 (90.0) | 4 (10.0) | |
50K<75K | 46 | 43 (93.5) | 3 (6.5) | |
75K+ | 83 | 81 (97.6) | 2 (2.4) | |
Primary source of payment, N (%) | 0.272a | |||
Medicaid | 34 | 28 (82.4) | 6 (17.6) | |
Medicare | 145 | 131 (90.3) | 14 (9.7) | |
Private | 132 | 123 (93.2) | 9 (6.8) | |
Self‐pay | 25 | 22 (88.0) | 3 (12.0) | |
Primary care physician, N (%) | 1.000c | |||
None/do not know | 28 | 26 (92.9) | 2 (7.1) | |
Yes | 313 | 283 (90.4) | 30 (9.6) | |
Site, N (%) | 0.071a | |||
Nashville, TN | 172 | 151 (87.8) | 21 (12.2) | |
Boston, MA | 169 | 158 (93.5) | 11 (6.5) |
The prevalence of refractory primary nonadherence was 9.4%. In univariate analysis, single marital status, lower income, and having more than 10 total discharge medications were significantly associated with not filling medications (P=0.018, 0.04, 0.016, respectively; Table 1). In multivariable analysis, single marital status and having more than 10 total discharge medications maintained significance when controlling for other patient characteristics. Patients who were single had higher odds of failing to fill discharge prescriptions compared to married or cohabitating individuals (odds ratio [OR]: 2.2, 95% confidence interval [CI]: 1.014.8, P=0.047). Patients with more than 10 discharge medications also had higher odds of failing to fill compared with patients who had fewer total medications (OR: 2.3, 95% CI: 1.054.98, P=0.036).
Filling discharge prescriptions was not associated with health literacy, cognition, prehospital adherence, patients' medication understanding, or any of the surveyed medication management practices (Table 2). Patients' reasons for not filling included lack of time to go to the pharmacy, medications not being delivered or dispensed, or inability to afford prescriptions. Prescription cost was cited by 23.5% of patients who did not fill their prescriptions and provided a reason.
Variable | Overall 341 (100.0%) | Filled Prescription 309 (90.6%) | Did Not Fill 32 (9.4%) | P Value |
---|---|---|---|---|
| ||||
s‐TOFHLA score, range 036, N (%) | 0.443a | |||
Inadequate, 016 | 40 | 34 (85.0) | 6 (15.0) | |
Marginal, 1722 | 27 | 25 (92.6) | 2 (7.4) | |
Adequate, 2336 | 268 | 244 (91.0) | 24 (9.0) | |
MiniCog score, range 05, N (%) | 0.764b | |||
Not impaired, 35 | 304 | 276 (90.8) | 28 (9.2) | |
Impaired, 02 | 37 | 33 (89.2) | 4 (10.8) | |
Morisky score, range 48, N (%) | 0.517a | |||
Low/moderate self‐reported adherence, 47 | 249 | 224 (90.0) | 25 (10.0) | |
High self‐reported adherence, 8 | 79 | 73 (92.4) | 6 (7.6) | |
No. of discharge medications, range 126, N (%)c | 0.016a | |||
010 medications | 186 | 175 (94.1) | 11 (5.9) | |
11+medications | 155 | 134 (86.5) | 21 (13.5) | |
Patient responses to medication behavior questions | ||||
Patient associates medication taking time with daily events | 253 | 229 (90.5) | 24 (9.5) | 0.913a |
Patient uses a pillbox to organize medicine | 180 | 162 (90.0) | 18 (10.0) | 0.680a |
Friends of family help remind patient when it is time to take medicine | 89 | 79 (88.8) | 10 (11.2) | 0.486a |
Patient writes down instructions for when to take medicine | 60 | 55 (91.7) | 5 (8.3) | 0.758a |
Patient uses an alarm or a reminder that beeps when it is time to take medicine | 8 | 6 (75.0) | 2 (25.0) | 0.167a |
Patient marks refill date on calendar | 38 | 35 (92.1) | 3 (7.9) | 1.000b |
Pharmacy gives or sends patient a reminder when it is time to refill medicine | 94 | 84 (89.4) | 10 (10.6) | 0.624a |
Friends or family help patient to refill medicine | 60 | 53 (88.3) | 7 (11.7) | 0.504a |
DISCUSSION
Almost 1 in 10 patients hospitalized with cardiovascular disease demonstrated primary nonadherence refractory to an intervention including pharmacist discharge medication counseling. Being unmarried and having greater than 10 medications at discharge were significantly associated with higher primary nonadherence when controlling for other patient factors.
Patients with a cohabitant partner were significantly less likely to exhibit primary nonadherence, which may reflect higher levels of social support, including encouragement for disease self‐management and/or support with tasks such as picking up medications from the pharmacy. Previous research has demonstrated that social support mediates outpatient medication adherence for heart failure patients.[10]
Similar to Jackevicius et al., we found that patients with more medications at discharge were less likely to fill their prescriptions.[1] These findings may reflect the challenges that patients face in adhering to complex treatment plans, which are associated with increased coordination and cost. Conversely, some prior studies have found that patients with fewer prescriptions were less likely to fill.[11, 12] These patients were often younger, thus potentially less conditioned to fill prescriptions, and unlike our cohort, these populations had consistent prescription coverage. Interventions for polypharmacy, which have been shown to improve outcomes and decrease costs, especially in the geriatric population, may be of benefit for primary nonadherence as well.[13]
Additionally, patients with lower household incomes had higher rates of primary nonadherence, at least in univariate analysis. Medication cost and transportation limitations, which are more pronounced in lower‐income patients, likely play influential roles in this group. These findings build on prior literature that has found lower prescription cost to be associated with better medication adherence in a variety of settings.[3, 4, 14]
Because the prevalence of primary nonadherence in this cohort is less than half of historical rates, we suspect the intervention did reduce unintentional nonadherence. However, regimen cost and complexity, transportation challenges, and ingrained medication beliefs likely remained barriers. It may be that a postdischarge phone call is able address unintended primary nonadherence in many cases. Meds to beds programs, where a supply of medications is provided to patients prior to discharge, could assist patients with limited transportation. Prior studies have also found reduced primary nonadherence when e‐prescriptions are utilized.[3]
Establishing outpatient follow‐up at discharge provides additional opportunities to address unanticipated adherence barriers. Because the efficacy of any adherence intervention depends on individual patient barriers, we recommend combining medication counseling with a targeted approach for patient‐specific needs.
We note several limitations to our study. First, because we studied primary nonadherence that persisted despite an intervention, this cohort likely underestimates the prevalence of primary nonadherence and alters the associated patient characteristics found in routine practice (although counseling is becoming more common). Second, patient reporting is subject to biases that underestimate nonadherence, although this approach has been validated previously.[15] Third, our outcome measure was unable to capture the spectrum of non‐adherence that could provide a more nuanced look at predictors of postdischarge nonadherence. Fourth, we did not have patient copayment data to better characterize whether out of pocket costs or pharmacologic classes drove nonadherence. Finally, sample size may have limited the detection of other important factors, and the university setting may limit generalizability to cardiovascular patients in other practice environments. Future research should focus on intervention strategies that assess patients' individual adherence barriers for a targeted or multimodal approach to improve adherence.
In conclusion, we found a prevalence of primary nonadherence of almost 1 in 10 patients who received pharmacist counseling. Nonadherence was associated with being single and those discharged with longer medication lists. Our results support existing literature that primary nonadherence is a significant problem in the postdischarge setting and substantiate the need for ongoing efforts to study and implement interventions for adherence after hospital discharge.
Disclosures
This material is based on work supported by the Office of Academic Affiliations, Department of Veterans Affairs, Veterans Affairs National Quality Scholars Program, and with use of facilities at Veterans Affairs Tennessee Valley Healthcare System, Nashville, Tennessee (Dr. Wooldridge). The funding agency supported the work indirectly through provision of salary support and training for the primary author, but had no specific role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; or decision to submit the manuscript for publication. This work was also supported by R01 HL089755 (Dr. Kripalani) and in part by K23 HL077597 (Dr. Kripalani), K08 HL072806 (Dr. Schnipper), and the Center for Clinical Quality and Implementation Research at Vanderbilt University Medical Center. A preliminary version of this research was presented at the AcademyHealth Annual Research Meeting, June 16, 2015, Minneapolis, Minnesota. The authors report the following potential conflicts of interest: Jeffrey Schnipper: PI, investigator‐initiated study funded by Sanofi‐Aventis to develop, implement, and evaluate a multifaceted intervention to improve transitions of care in patients with diabetes mellitus discharged on insulin. Robert Dittus: passive co‐owner, Medical Decision Modeling, Inc.; Bayer HealthCare. One‐day consultation and panelist on educational video for population health (consultant fee); GlaxoSmithKline. One‐day consultant for population health, envisioning the future (consultant fee). Sunil Kripalani: Bioscape Digital, stock ownership
- Prevalence, predictors, and outcomes of primary nonadherence after acute myocardial infarction. Circulation. 2008;117(8):1028–1036. , , .
- Primary medication non‐adherence after discharge from a general internal medicine service. PloS One. 2013;8(5):e61735. , , , .
- Trouble getting started: predictors of primary medication nonadherence. Am J Med. 2011;124(11):1081.e9–22. , , , et al.
- The incidence and determinants of primary nonadherence with prescribed medication in primary care: a cohort study. Ann Intern Med. 2014;160(7):441–450. , , , , .
- Effect of a pharmacist intervention on clinically important medication errors after hospital discharge: a randomized trial. Ann Intern Med. 2012;157(1):1–10. , , , et al.
- Short Test of Functional Health Literacy in Adults. Snow Camp, NC: Peppercorn Books and Press; 1998. , , , .
- Simplifying detection of cognitive impairment: comparison of the Mini‐Cog and Mini‐Mental State Examination in a multiethnic sample. J Am Geriatr Soc. 2005;53(5):871–874. , , , , .
- Concurrent and predictive validity of a self‐reported measure of medication adherence. Med Care. 1986;24(1):67–74. , , .
- Health literacy and medication understanding among hospitalized adults. J Hosp Med. 2011;6(9):488–493. , , , , , .
- Medication adherence, social support, and event‐free survival in patients with heart failure. Health Psychol. 2013;32(6):637–646. , , , , , .
- Effect of patient comorbidities on filling of antihypertensive prescriptions. Am J Manag Care. 2009;15(1):24–30. , , , , , .
- Primary nonadherence to statin medications in a managed care organization. J Manag Care Pharm. 2013;19(5):367–373. , , , et al.
- Reducing cost by reducing polypharmacy: the polypharmacy outcomes project. J Am Med Dir Assoc. 2012;13(9):818.e811–815. , , , et al.
- The epidemiology of prescriptions abandoned at the pharmacy. Ann Intern Med. 2010;153(10):633–640. , , , et al.
- Can simple clinical measurements detect patient noncompliance? Hypertension. 1980;2(6):757–764. , , , , , .
- Prevalence, predictors, and outcomes of primary nonadherence after acute myocardial infarction. Circulation. 2008;117(8):1028–1036. , , .
- Primary medication non‐adherence after discharge from a general internal medicine service. PloS One. 2013;8(5):e61735. , , , .
- Trouble getting started: predictors of primary medication nonadherence. Am J Med. 2011;124(11):1081.e9–22. , , , et al.
- The incidence and determinants of primary nonadherence with prescribed medication in primary care: a cohort study. Ann Intern Med. 2014;160(7):441–450. , , , , .
- Effect of a pharmacist intervention on clinically important medication errors after hospital discharge: a randomized trial. Ann Intern Med. 2012;157(1):1–10. , , , et al.
- Short Test of Functional Health Literacy in Adults. Snow Camp, NC: Peppercorn Books and Press; 1998. , , , .
- Simplifying detection of cognitive impairment: comparison of the Mini‐Cog and Mini‐Mental State Examination in a multiethnic sample. J Am Geriatr Soc. 2005;53(5):871–874. , , , , .
- Concurrent and predictive validity of a self‐reported measure of medication adherence. Med Care. 1986;24(1):67–74. , , .
- Health literacy and medication understanding among hospitalized adults. J Hosp Med. 2011;6(9):488–493. , , , , , .
- Medication adherence, social support, and event‐free survival in patients with heart failure. Health Psychol. 2013;32(6):637–646. , , , , , .
- Effect of patient comorbidities on filling of antihypertensive prescriptions. Am J Manag Care. 2009;15(1):24–30. , , , , , .
- Primary nonadherence to statin medications in a managed care organization. J Manag Care Pharm. 2013;19(5):367–373. , , , et al.
- Reducing cost by reducing polypharmacy: the polypharmacy outcomes project. J Am Med Dir Assoc. 2012;13(9):818.e811–815. , , , et al.
- The epidemiology of prescriptions abandoned at the pharmacy. Ann Intern Med. 2010;153(10):633–640. , , , et al.
- Can simple clinical measurements detect patient noncompliance? Hypertension. 1980;2(6):757–764. , , , , , .