Pharmacology

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

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

Methods

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

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

Patient Selection

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

Preoperative Procedures

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

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

Hospital Procedures

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

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

Postoperative Procedures

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

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

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

Heath and Decision Support Tools 

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

Results

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

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

Discussion

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

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

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

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

Conclusions

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

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

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

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

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

Acknowledgments

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

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

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

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

Methods

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

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

Patient Selection

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

Preoperative Procedures

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

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

Hospital Procedures

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

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

Postoperative Procedures

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

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

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

Heath and Decision Support Tools 

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

Results

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

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

Discussion

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

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

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

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

Conclusions

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

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

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

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

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

Acknowledgments

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

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

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

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

Methods

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

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

Patient Selection

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

Preoperative Procedures

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

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

Hospital Procedures

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

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

Postoperative Procedures

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

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

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

Heath and Decision Support Tools 

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

Results

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

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

Discussion

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

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

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

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

Conclusions

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

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

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

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

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

Acknowledgments

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

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

In a new review, a group of infectious disease experts have summarized and made recommendations about recent findings regarding infections that can occur during treatment with an evolving set of targeted and biologic therapies for rheumatoid arthritis and psoriatic arthritis.

“We claim for the need for multicenter registries and multidisciplinary approaches, for new vaccines trials in RA and PsA, and for better defining when and how biologics can be restarted after severe infections,” lead author Olivier Lortholary, MD, of the Institut Pasteur in Paris, and his coauthors wrote in Annals of the Rheumatic Diseases.

Assessing infection risk related to various inhibitors

Regarding infections caused by TNF-alpha inhibitors (TNFIs), the experts acknowledged a broad increase in risk for mycobacterial and fungal infections, especially tuberculosis and histoplasmosis. They added that patients on TNFIs are more prone to developing pneumonia and soft tissue infections, while smaller studies have indicated a higher risk of listeriosis, legionellosis, herpes zoster (HZ), and reactivation of chronic hepatitis B virus infection.

As for recommendations, they endorsed discontinuing TNFIs when a serious infection occurs and not restarting until after treatment and clinical response. Patients should be screened for latent tuberculosis infection (LTBI) before starting the drug, and anti-TB drugs should be presented to patients with LTBI so they do not progress to active TB.

Regarding other biologics, they cited several studies indicating that IL-6 inhibitors can increase infection risks in RA patients at a rate similar to TNFIs. Among the most common infections were pneumonia and cellulitis. In addition, although PsA patients on IL-17 inhibitors have a dose-dependent risk of mild to moderate mucocutaneous candidiasis, there was no increased risk of serious opportunistic infections like TB.

In assessing JAK inhibitors, they cited a pooled analysis that indicated pneumonia and skin and soft-tissue infections as the most common and noted the high incidence of HZ, compared with other infections. They added that abatacept (Orencia) did not appear to increase risk of infections in RA patients, such as HZ, dermatomycosis, candidiasis, or endemic mycoses. Those same patients did not see an increased overall infection risk after treatment with rituximab (Rituxan), and clinical trials containing treatment with apremilast (Otezla) reported a rare occurrence of serious infections.

Recommendation-wise, they endorsed screening for LTBI before starting IL-6 inhibitors and antiviral prophylaxis with acyclovir in particularly at-risk patients on JAK inhibitors. Age-appropriate influenza vaccinations were also recommended for rituximab, because of the development of rituximab-induced hypogammaglobulinemia.
 

Prediction and prevention

When it comes to predicting infections in patients on biologics, the experts wrote that it “remains a challenge.” The potential effects of pretreatment underlying disease, the lack of validated biomarkers, and the relatively low rate of infections all combine to stymie prediction. That said, they acknowledged ongoing efforts in monitoring lymphocyte subpopulation counts and immunoglobin levels, as well as a clinical score called the RABBIT Risk Score for Infections, which was validated in two separate cohorts.

“As Yogi Berra said, predictions are hard, especially about the future,” Dr. Kavanaugh said. “Discussions with your patient are always important.”

In regard to overall prevention, they acknowledged that most of their recommendations are of low evidence, except for antiviral prophylaxis for hepatitis B patients on rituximab and the aforementioned LTBI therapy in patients on TNFIs. Broadly, they advocated for all RA and PsA patients to receive a full infectious disease evaluation before the start of targeted and biologic therapies.

They also addressed vaccinations, recommending an evaluation of the patient’s immunization history and potentially planning a catch-up schedule for those in need of the influenza vaccine, a diphtheria-tetanus-pertussis booster, or the pneumococcal vaccine. More broadly, they stated that “a better response is expected if [non-live] vaccination is performed before the introduction of immunosuppressive drugs.” They added that live vaccines should be administered as soon as possible.
 

What rheumatologists can do

“So how do you mitigate risk?” Dr. Winthrop asked. “You have to be able to predict the risk, see what’s modifiable, and try to act on it. A lot of the risk of infection has more to do with the patient than the therapy.

“You try to minimize what you’re doing to the patient, particularly around steroids,” he said. “And then you think about screening and vaccinations. Rheumatologists need to be involved in those conversations because they’re the ones who know how these drugs interact with vaccines. A lot of the drugs might dumb down vaccine responses. Be sure to consider that and give the vaccines at times that will optimize their immunogenicity and likely efficacy.”

“Thankfully, infections are not that common,” Dr. Kavanaugh said. “Rheumatologists depend on data from trials, but more safety data comes from registry data and personal and shared experience.”

The authors declared no potential conflicts of interest.

SOURCE: Lortholary O et al. Ann Rheum Dis. 2020 Sep 22. doi: 10.1136/annrheumdis-2020-217092.

In a new review, a group of infectious disease experts have summarized and made recommendations about recent findings regarding infections that can occur during treatment with an evolving set of targeted and biologic therapies for rheumatoid arthritis and psoriatic arthritis.

“We claim for the need for multicenter registries and multidisciplinary approaches, for new vaccines trials in RA and PsA, and for better defining when and how biologics can be restarted after severe infections,” lead author Olivier Lortholary, MD, of the Institut Pasteur in Paris, and his coauthors wrote in Annals of the Rheumatic Diseases.

Assessing infection risk related to various inhibitors

Regarding infections caused by TNF-alpha inhibitors (TNFIs), the experts acknowledged a broad increase in risk for mycobacterial and fungal infections, especially tuberculosis and histoplasmosis. They added that patients on TNFIs are more prone to developing pneumonia and soft tissue infections, while smaller studies have indicated a higher risk of listeriosis, legionellosis, herpes zoster (HZ), and reactivation of chronic hepatitis B virus infection.

As for recommendations, they endorsed discontinuing TNFIs when a serious infection occurs and not restarting until after treatment and clinical response. Patients should be screened for latent tuberculosis infection (LTBI) before starting the drug, and anti-TB drugs should be presented to patients with LTBI so they do not progress to active TB.

Regarding other biologics, they cited several studies indicating that IL-6 inhibitors can increase infection risks in RA patients at a rate similar to TNFIs. Among the most common infections were pneumonia and cellulitis. In addition, although PsA patients on IL-17 inhibitors have a dose-dependent risk of mild to moderate mucocutaneous candidiasis, there was no increased risk of serious opportunistic infections like TB.

In assessing JAK inhibitors, they cited a pooled analysis that indicated pneumonia and skin and soft-tissue infections as the most common and noted the high incidence of HZ, compared with other infections. They added that abatacept (Orencia) did not appear to increase risk of infections in RA patients, such as HZ, dermatomycosis, candidiasis, or endemic mycoses. Those same patients did not see an increased overall infection risk after treatment with rituximab (Rituxan), and clinical trials containing treatment with apremilast (Otezla) reported a rare occurrence of serious infections.

Recommendation-wise, they endorsed screening for LTBI before starting IL-6 inhibitors and antiviral prophylaxis with acyclovir in particularly at-risk patients on JAK inhibitors. Age-appropriate influenza vaccinations were also recommended for rituximab, because of the development of rituximab-induced hypogammaglobulinemia.
 

Prediction and prevention

When it comes to predicting infections in patients on biologics, the experts wrote that it “remains a challenge.” The potential effects of pretreatment underlying disease, the lack of validated biomarkers, and the relatively low rate of infections all combine to stymie prediction. That said, they acknowledged ongoing efforts in monitoring lymphocyte subpopulation counts and immunoglobin levels, as well as a clinical score called the RABBIT Risk Score for Infections, which was validated in two separate cohorts.

“As Yogi Berra said, predictions are hard, especially about the future,” Dr. Kavanaugh said. “Discussions with your patient are always important.”

In regard to overall prevention, they acknowledged that most of their recommendations are of low evidence, except for antiviral prophylaxis for hepatitis B patients on rituximab and the aforementioned LTBI therapy in patients on TNFIs. Broadly, they advocated for all RA and PsA patients to receive a full infectious disease evaluation before the start of targeted and biologic therapies.

They also addressed vaccinations, recommending an evaluation of the patient’s immunization history and potentially planning a catch-up schedule for those in need of the influenza vaccine, a diphtheria-tetanus-pertussis booster, or the pneumococcal vaccine. More broadly, they stated that “a better response is expected if [non-live] vaccination is performed before the introduction of immunosuppressive drugs.” They added that live vaccines should be administered as soon as possible.
 

What rheumatologists can do

“So how do you mitigate risk?” Dr. Winthrop asked. “You have to be able to predict the risk, see what’s modifiable, and try to act on it. A lot of the risk of infection has more to do with the patient than the therapy.

“You try to minimize what you’re doing to the patient, particularly around steroids,” he said. “And then you think about screening and vaccinations. Rheumatologists need to be involved in those conversations because they’re the ones who know how these drugs interact with vaccines. A lot of the drugs might dumb down vaccine responses. Be sure to consider that and give the vaccines at times that will optimize their immunogenicity and likely efficacy.”

“Thankfully, infections are not that common,” Dr. Kavanaugh said. “Rheumatologists depend on data from trials, but more safety data comes from registry data and personal and shared experience.”

The authors declared no potential conflicts of interest.

SOURCE: Lortholary O et al. Ann Rheum Dis. 2020 Sep 22. doi: 10.1136/annrheumdis-2020-217092.

In a new review, a group of infectious disease experts have summarized and made recommendations about recent findings regarding infections that can occur during treatment with an evolving set of targeted and biologic therapies for rheumatoid arthritis and psoriatic arthritis.

“We claim for the need for multicenter registries and multidisciplinary approaches, for new vaccines trials in RA and PsA, and for better defining when and how biologics can be restarted after severe infections,” lead author Olivier Lortholary, MD, of the Institut Pasteur in Paris, and his coauthors wrote in Annals of the Rheumatic Diseases.

Assessing infection risk related to various inhibitors

Regarding infections caused by TNF-alpha inhibitors (TNFIs), the experts acknowledged a broad increase in risk for mycobacterial and fungal infections, especially tuberculosis and histoplasmosis. They added that patients on TNFIs are more prone to developing pneumonia and soft tissue infections, while smaller studies have indicated a higher risk of listeriosis, legionellosis, herpes zoster (HZ), and reactivation of chronic hepatitis B virus infection.

As for recommendations, they endorsed discontinuing TNFIs when a serious infection occurs and not restarting until after treatment and clinical response. Patients should be screened for latent tuberculosis infection (LTBI) before starting the drug, and anti-TB drugs should be presented to patients with LTBI so they do not progress to active TB.

Regarding other biologics, they cited several studies indicating that IL-6 inhibitors can increase infection risks in RA patients at a rate similar to TNFIs. Among the most common infections were pneumonia and cellulitis. In addition, although PsA patients on IL-17 inhibitors have a dose-dependent risk of mild to moderate mucocutaneous candidiasis, there was no increased risk of serious opportunistic infections like TB.

In assessing JAK inhibitors, they cited a pooled analysis that indicated pneumonia and skin and soft-tissue infections as the most common and noted the high incidence of HZ, compared with other infections. They added that abatacept (Orencia) did not appear to increase risk of infections in RA patients, such as HZ, dermatomycosis, candidiasis, or endemic mycoses. Those same patients did not see an increased overall infection risk after treatment with rituximab (Rituxan), and clinical trials containing treatment with apremilast (Otezla) reported a rare occurrence of serious infections.

Recommendation-wise, they endorsed screening for LTBI before starting IL-6 inhibitors and antiviral prophylaxis with acyclovir in particularly at-risk patients on JAK inhibitors. Age-appropriate influenza vaccinations were also recommended for rituximab, because of the development of rituximab-induced hypogammaglobulinemia.
 

Prediction and prevention

When it comes to predicting infections in patients on biologics, the experts wrote that it “remains a challenge.” The potential effects of pretreatment underlying disease, the lack of validated biomarkers, and the relatively low rate of infections all combine to stymie prediction. That said, they acknowledged ongoing efforts in monitoring lymphocyte subpopulation counts and immunoglobin levels, as well as a clinical score called the RABBIT Risk Score for Infections, which was validated in two separate cohorts.

“As Yogi Berra said, predictions are hard, especially about the future,” Dr. Kavanaugh said. “Discussions with your patient are always important.”

In regard to overall prevention, they acknowledged that most of their recommendations are of low evidence, except for antiviral prophylaxis for hepatitis B patients on rituximab and the aforementioned LTBI therapy in patients on TNFIs. Broadly, they advocated for all RA and PsA patients to receive a full infectious disease evaluation before the start of targeted and biologic therapies.

They also addressed vaccinations, recommending an evaluation of the patient’s immunization history and potentially planning a catch-up schedule for those in need of the influenza vaccine, a diphtheria-tetanus-pertussis booster, or the pneumococcal vaccine. More broadly, they stated that “a better response is expected if [non-live] vaccination is performed before the introduction of immunosuppressive drugs.” They added that live vaccines should be administered as soon as possible.
 

What rheumatologists can do

“So how do you mitigate risk?” Dr. Winthrop asked. “You have to be able to predict the risk, see what’s modifiable, and try to act on it. A lot of the risk of infection has more to do with the patient than the therapy.

“You try to minimize what you’re doing to the patient, particularly around steroids,” he said. “And then you think about screening and vaccinations. Rheumatologists need to be involved in those conversations because they’re the ones who know how these drugs interact with vaccines. A lot of the drugs might dumb down vaccine responses. Be sure to consider that and give the vaccines at times that will optimize their immunogenicity and likely efficacy.”

“Thankfully, infections are not that common,” Dr. Kavanaugh said. “Rheumatologists depend on data from trials, but more safety data comes from registry data and personal and shared experience.”

The authors declared no potential conflicts of interest.

SOURCE: Lortholary O et al. Ann Rheum Dis. 2020 Sep 22. doi: 10.1136/annrheumdis-2020-217092.

The DAPA-CKD trial results, which proved dapagliflozin’s efficacy for slowing chronic kidney disease progression in patients selected for signs of worsening renal function, also have important messages for cardiologists, especially heart failure physicians.

Catherine Hackett/MDedge News

Those messages include findings that were “consistent” with the results of the earlier DAPA-HF trial, which tested the same sodium-glucose transporter 2 (SGLT2) inhibitor in patients selected for having heart failure with reduced ejection fraction (HFrEF). In addition, a specific action of dapagliflozin (Farxiga) on the patients in DAPA-CKD, which enrolled patients based on markers of chronic kidney disease (CKD), was prevention of first and recurrent heart failure hospitalizations, John J.V. McMurray, MD, said at the virtual annual scientific meeting of the Heart Failure Society of America, further highlighting the role that dapagliflozin has in reducing both heart failure and renal events.
 

What DAPA-CKD means for heart failure

The main findings from the DAPA-CKD trial, published in September in the New England Journal of Medicine, included as a secondary outcome the combined rate of death from cardiovascular causes or hospitalization for heart failure (HHF). Treatment with dapagliflozin linked with a significant 29% relative reduction in this endpoint, compared with placebo-treated patients. At the HFSA meeting, Dr. McMurray reported for the first time the specific HHF numbers, a prespecified secondary endpoint for the study.

Patients on dapagliflozin had 37 total HHF events (1.7%), including both first-time and subsequent hospitalizations, while patients in the placebo arm had a total of 71 HHF events (3.3%) during the study’s median 2.4 years of follow-up, an absolute reduction of 1.6% that translated into a relative risk reduction of 49%.

The HHF findings from DAPA-CKD importantly showed that SGLT2 inhibition in patients with signs of renal dysfunction “will not only slow progression of kidney disease but will also reduce the risk of developing heart failure, crucially in patients with or without type 2 diabetes,” explained Dr. McMurray in an interview. “Cardiologists often consult in the kidney wards and advise on management of patients with chronic kidney disease, even those without heart failure.”

The DAPA-CKD findings carry another important message for heart failure management regarding the minimum level of renal function a patient can have and still safely receive dapagliflozin or possibly another agent from the same SGLT2 inhibitor class. In DAPA-CKD, patients safely received dapagliflozin with an estimated glomerular filtration rate (eGFR) as low as 25 mL/min per 1.73 m²; 14% of enrolled patients had an eGFR of 25-29 mL/min per 1.73 m².

“Typically, about 40%-50% of patients with heart failure have chronic kidney disease,” which makes this safety finding important to clinicians who care for heart failure patients, but it’s also important for any patient who might be a candidate for dapagliflozin or another drug from its class. “We had no strong evidence before this trial that SGLT2 inhibition could reduce hard renal endpoints,” specifically need for chronic dialysis, renal transplant, or renal death, “in patients with or without diabetes,” Dr. McMurray said.
 

DAPA-CKD grows the pool of eligible heart failure patients

A further consequence of the DAPA-CKD findings is that when, as expected, regulatory bodies give dapagliflozin an indication for treating the types of CKD patients enrolled in the trial, it will functionally expand this treatment to an even larger swath of heart failure patients who currently don’t qualify for this treatment, specifically patients with CKD who also have heart failure with preserved ejection fraction (HFpEF). On Oct. 2, 2020, the Food and Drug Administration fast-tracked dapagliflozin for the CKD indication by granting it Breakthrough Therapy Designation based on the DAPA-CKD results.

Results first reported in 2019 from the DAPA-HF trial led to dapagliflozin receiving a labeled indication for treating HFrEF, the types of heart failure patients enrolled in the trial. Direct evidence on the efficacy of SGLT2 inhibitors for patients with HFpEF will not be available until results from a few trials now in progress become available during the next 12 months.

In the meantime, nearly half of patients with HFpEF also have CKD, noted Dr. McMurray, and another large portion of HFpEF patients have type 2 diabetes and hence qualify for SGLT2 inhibitor treatment that way. “Obviously, we would like to know specifically about heart failure outcomes in patients with HFpEF” on SGLT2 inhibitor treatment, he acknowledged. But the recent approval of dapagliflozin for patients with HFrEF and the likely indication coming soon for treating CKD means that the number of patients with heart failure who are not eligible for SGLT2 inhibitor treatment is dwindling down to some extent.
 

New DAPA-HF results show no drug, device interactions

In a separate session at the HFSA virtual meeting, Dr. McMurray and several collaborators on the DAPA-HF trial presented results from some new analyses. Dr. McMurray looked at the impact of dapagliflozin treatment on the primary endpoint when patients were stratified by the diuretic dosage they received at study entry. The results showed that “the benefits from dapagliflozin were irrespective of the use of background diuretic therapy or the diuretic dose,” he reported. Study findings also showed that roughly three-quarters of patients in the study had no change in their diuretic dosage during the course of the trial, that the fraction of patients who had an increase in their dosage was about the same as those whose diuretic dosage decreased, and that this pattern was similar in both the patients on dapagliflozin and in those randomized to placebo.

Another set of new analyses from DAPA-HF looked at the impact on dapagliflozin efficacy of background medical and device therapies for heart failure, as well as background diabetes therapies. The findings showed no signal of an interaction with background therapies. “The effects of dapagliflozin are incremental and complimentary to conventional therapies for HFrEF,” concluded Lars Kober, MD, a professor and heart failure physician at Copenhagen University Hospital.

DAPA-CKD was funded by AstraZeneca, the company that markets dapagliflozin (Farxiga). Dr. McMurray’s employer, Glasgow University, has received payments from AstraZeneca and several other companies to compensate for his time overseeing various clinical trials. Dr. Kober has received honoraria for speaking on behalf of several companies including AstraZeneca.

mzoler@mdedge.com

The DAPA-CKD trial results, which proved dapagliflozin’s efficacy for slowing chronic kidney disease progression in patients selected for signs of worsening renal function, also have important messages for cardiologists, especially heart failure physicians.

Catherine Hackett/MDedge News

Those messages include findings that were “consistent” with the results of the earlier DAPA-HF trial, which tested the same sodium-glucose transporter 2 (SGLT2) inhibitor in patients selected for having heart failure with reduced ejection fraction (HFrEF). In addition, a specific action of dapagliflozin (Farxiga) on the patients in DAPA-CKD, which enrolled patients based on markers of chronic kidney disease (CKD), was prevention of first and recurrent heart failure hospitalizations, John J.V. McMurray, MD, said at the virtual annual scientific meeting of the Heart Failure Society of America, further highlighting the role that dapagliflozin has in reducing both heart failure and renal events.
 

What DAPA-CKD means for heart failure

The main findings from the DAPA-CKD trial, published in September in the New England Journal of Medicine, included as a secondary outcome the combined rate of death from cardiovascular causes or hospitalization for heart failure (HHF). Treatment with dapagliflozin linked with a significant 29% relative reduction in this endpoint, compared with placebo-treated patients. At the HFSA meeting, Dr. McMurray reported for the first time the specific HHF numbers, a prespecified secondary endpoint for the study.

Patients on dapagliflozin had 37 total HHF events (1.7%), including both first-time and subsequent hospitalizations, while patients in the placebo arm had a total of 71 HHF events (3.3%) during the study’s median 2.4 years of follow-up, an absolute reduction of 1.6% that translated into a relative risk reduction of 49%.

The HHF findings from DAPA-CKD importantly showed that SGLT2 inhibition in patients with signs of renal dysfunction “will not only slow progression of kidney disease but will also reduce the risk of developing heart failure, crucially in patients with or without type 2 diabetes,” explained Dr. McMurray in an interview. “Cardiologists often consult in the kidney wards and advise on management of patients with chronic kidney disease, even those without heart failure.”

The DAPA-CKD findings carry another important message for heart failure management regarding the minimum level of renal function a patient can have and still safely receive dapagliflozin or possibly another agent from the same SGLT2 inhibitor class. In DAPA-CKD, patients safely received dapagliflozin with an estimated glomerular filtration rate (eGFR) as low as 25 mL/min per 1.73 m²; 14% of enrolled patients had an eGFR of 25-29 mL/min per 1.73 m².

“Typically, about 40%-50% of patients with heart failure have chronic kidney disease,” which makes this safety finding important to clinicians who care for heart failure patients, but it’s also important for any patient who might be a candidate for dapagliflozin or another drug from its class. “We had no strong evidence before this trial that SGLT2 inhibition could reduce hard renal endpoints,” specifically need for chronic dialysis, renal transplant, or renal death, “in patients with or without diabetes,” Dr. McMurray said.
 

DAPA-CKD grows the pool of eligible heart failure patients

A further consequence of the DAPA-CKD findings is that when, as expected, regulatory bodies give dapagliflozin an indication for treating the types of CKD patients enrolled in the trial, it will functionally expand this treatment to an even larger swath of heart failure patients who currently don’t qualify for this treatment, specifically patients with CKD who also have heart failure with preserved ejection fraction (HFpEF). On Oct. 2, 2020, the Food and Drug Administration fast-tracked dapagliflozin for the CKD indication by granting it Breakthrough Therapy Designation based on the DAPA-CKD results.

Results first reported in 2019 from the DAPA-HF trial led to dapagliflozin receiving a labeled indication for treating HFrEF, the types of heart failure patients enrolled in the trial. Direct evidence on the efficacy of SGLT2 inhibitors for patients with HFpEF will not be available until results from a few trials now in progress become available during the next 12 months.

In the meantime, nearly half of patients with HFpEF also have CKD, noted Dr. McMurray, and another large portion of HFpEF patients have type 2 diabetes and hence qualify for SGLT2 inhibitor treatment that way. “Obviously, we would like to know specifically about heart failure outcomes in patients with HFpEF” on SGLT2 inhibitor treatment, he acknowledged. But the recent approval of dapagliflozin for patients with HFrEF and the likely indication coming soon for treating CKD means that the number of patients with heart failure who are not eligible for SGLT2 inhibitor treatment is dwindling down to some extent.
 

New DAPA-HF results show no drug, device interactions

In a separate session at the HFSA virtual meeting, Dr. McMurray and several collaborators on the DAPA-HF trial presented results from some new analyses. Dr. McMurray looked at the impact of dapagliflozin treatment on the primary endpoint when patients were stratified by the diuretic dosage they received at study entry. The results showed that “the benefits from dapagliflozin were irrespective of the use of background diuretic therapy or the diuretic dose,” he reported. Study findings also showed that roughly three-quarters of patients in the study had no change in their diuretic dosage during the course of the trial, that the fraction of patients who had an increase in their dosage was about the same as those whose diuretic dosage decreased, and that this pattern was similar in both the patients on dapagliflozin and in those randomized to placebo.

Another set of new analyses from DAPA-HF looked at the impact on dapagliflozin efficacy of background medical and device therapies for heart failure, as well as background diabetes therapies. The findings showed no signal of an interaction with background therapies. “The effects of dapagliflozin are incremental and complimentary to conventional therapies for HFrEF,” concluded Lars Kober, MD, a professor and heart failure physician at Copenhagen University Hospital.

DAPA-CKD was funded by AstraZeneca, the company that markets dapagliflozin (Farxiga). Dr. McMurray’s employer, Glasgow University, has received payments from AstraZeneca and several other companies to compensate for his time overseeing various clinical trials. Dr. Kober has received honoraria for speaking on behalf of several companies including AstraZeneca.

mzoler@mdedge.com

The DAPA-CKD trial results, which proved dapagliflozin’s efficacy for slowing chronic kidney disease progression in patients selected for signs of worsening renal function, also have important messages for cardiologists, especially heart failure physicians.

Catherine Hackett/MDedge News

Those messages include findings that were “consistent” with the results of the earlier DAPA-HF trial, which tested the same sodium-glucose transporter 2 (SGLT2) inhibitor in patients selected for having heart failure with reduced ejection fraction (HFrEF). In addition, a specific action of dapagliflozin (Farxiga) on the patients in DAPA-CKD, which enrolled patients based on markers of chronic kidney disease (CKD), was prevention of first and recurrent heart failure hospitalizations, John J.V. McMurray, MD, said at the virtual annual scientific meeting of the Heart Failure Society of America, further highlighting the role that dapagliflozin has in reducing both heart failure and renal events.
 

What DAPA-CKD means for heart failure

The main findings from the DAPA-CKD trial, published in September in the New England Journal of Medicine, included as a secondary outcome the combined rate of death from cardiovascular causes or hospitalization for heart failure (HHF). Treatment with dapagliflozin linked with a significant 29% relative reduction in this endpoint, compared with placebo-treated patients. At the HFSA meeting, Dr. McMurray reported for the first time the specific HHF numbers, a prespecified secondary endpoint for the study.

Patients on dapagliflozin had 37 total HHF events (1.7%), including both first-time and subsequent hospitalizations, while patients in the placebo arm had a total of 71 HHF events (3.3%) during the study’s median 2.4 years of follow-up, an absolute reduction of 1.6% that translated into a relative risk reduction of 49%.

The HHF findings from DAPA-CKD importantly showed that SGLT2 inhibition in patients with signs of renal dysfunction “will not only slow progression of kidney disease but will also reduce the risk of developing heart failure, crucially in patients with or without type 2 diabetes,” explained Dr. McMurray in an interview. “Cardiologists often consult in the kidney wards and advise on management of patients with chronic kidney disease, even those without heart failure.”

The DAPA-CKD findings carry another important message for heart failure management regarding the minimum level of renal function a patient can have and still safely receive dapagliflozin or possibly another agent from the same SGLT2 inhibitor class. In DAPA-CKD, patients safely received dapagliflozin with an estimated glomerular filtration rate (eGFR) as low as 25 mL/min per 1.73 m²; 14% of enrolled patients had an eGFR of 25-29 mL/min per 1.73 m².

“Typically, about 40%-50% of patients with heart failure have chronic kidney disease,” which makes this safety finding important to clinicians who care for heart failure patients, but it’s also important for any patient who might be a candidate for dapagliflozin or another drug from its class. “We had no strong evidence before this trial that SGLT2 inhibition could reduce hard renal endpoints,” specifically need for chronic dialysis, renal transplant, or renal death, “in patients with or without diabetes,” Dr. McMurray said.
 

DAPA-CKD grows the pool of eligible heart failure patients

A further consequence of the DAPA-CKD findings is that when, as expected, regulatory bodies give dapagliflozin an indication for treating the types of CKD patients enrolled in the trial, it will functionally expand this treatment to an even larger swath of heart failure patients who currently don’t qualify for this treatment, specifically patients with CKD who also have heart failure with preserved ejection fraction (HFpEF). On Oct. 2, 2020, the Food and Drug Administration fast-tracked dapagliflozin for the CKD indication by granting it Breakthrough Therapy Designation based on the DAPA-CKD results.

Results first reported in 2019 from the DAPA-HF trial led to dapagliflozin receiving a labeled indication for treating HFrEF, the types of heart failure patients enrolled in the trial. Direct evidence on the efficacy of SGLT2 inhibitors for patients with HFpEF will not be available until results from a few trials now in progress become available during the next 12 months.

In the meantime, nearly half of patients with HFpEF also have CKD, noted Dr. McMurray, and another large portion of HFpEF patients have type 2 diabetes and hence qualify for SGLT2 inhibitor treatment that way. “Obviously, we would like to know specifically about heart failure outcomes in patients with HFpEF” on SGLT2 inhibitor treatment, he acknowledged. But the recent approval of dapagliflozin for patients with HFrEF and the likely indication coming soon for treating CKD means that the number of patients with heart failure who are not eligible for SGLT2 inhibitor treatment is dwindling down to some extent.
 

New DAPA-HF results show no drug, device interactions

In a separate session at the HFSA virtual meeting, Dr. McMurray and several collaborators on the DAPA-HF trial presented results from some new analyses. Dr. McMurray looked at the impact of dapagliflozin treatment on the primary endpoint when patients were stratified by the diuretic dosage they received at study entry. The results showed that “the benefits from dapagliflozin were irrespective of the use of background diuretic therapy or the diuretic dose,” he reported. Study findings also showed that roughly three-quarters of patients in the study had no change in their diuretic dosage during the course of the trial, that the fraction of patients who had an increase in their dosage was about the same as those whose diuretic dosage decreased, and that this pattern was similar in both the patients on dapagliflozin and in those randomized to placebo.

Another set of new analyses from DAPA-HF looked at the impact on dapagliflozin efficacy of background medical and device therapies for heart failure, as well as background diabetes therapies. The findings showed no signal of an interaction with background therapies. “The effects of dapagliflozin are incremental and complimentary to conventional therapies for HFrEF,” concluded Lars Kober, MD, a professor and heart failure physician at Copenhagen University Hospital.

DAPA-CKD was funded by AstraZeneca, the company that markets dapagliflozin (Farxiga). Dr. McMurray’s employer, Glasgow University, has received payments from AstraZeneca and several other companies to compensate for his time overseeing various clinical trials. Dr. Kober has received honoraria for speaking on behalf of several companies including AstraZeneca.

mzoler@mdedge.com

Clozapine is an atypical antipsychotic that the US Food and Drug Administration (FDA) approved for use in schizophrenia and suicidality associated with schizophrenia or schizoaffective disorder. Clozapine has been shown to be superior to other antipsychotic treatment for treatment resistant schizophrenia (TRS), which is defined as failure of 2 adequate trials of antipsychotic therapy.¹ Up to 30% of patients with schizophrenia are classified as treatment resistant.²

Clozapine is considered the drug of choice for patients with TRS in both the US Department of Veterans Affairs (VA) policies and other evidence-based guidelines and remains the only antipsychotic with FDA approval for TRS.^2-5 Patients treated with clozapine have fewer psychiatric hospitalizations, fewer suicide attempts, lower rates of nonadherence, and less antipsychotic polypharmacy compared with patients who are treated with other antipsychotic therapy.^6,7 A 2016 study by Gören and colleagues found that in addition to the clinical benefits, there is the potential for cost savings of $22,000 for each veteran switched to and treated with clozapine for 1 year even when accounting for the cost of monitoring and potential adverse event management.⁸ This translates to a total savings of > $80 million if current utilization were doubled and half of those patients continued treatment for 1 year within the Veterans Health Administration (VHA). However, despite evidence supporting use, < 10% of Medicaid-eligible patients and only 4% of patients with schizophrenia in the VHA are prescribed clozapine.^8,9

Clozapine is underutilized for a variety of reasons, including intensive monitoring requirements, potential for severe adverse drug reactions, and concern for patient adherence.⁸ Common adverse effects (AEs) can range from mild to severe and include weight gain, constipation, sedation, orthostatic hypotension, and excessive salivation. Clozapine also carries a boxed warning for agranulocytosis, seizures, myocarditis, other cardiovascular and respiratory AEs (including orthostatic hypotension), and increased mortality in elderly patients with dementia.

Severe agranulocytosis occurs in between 0.05% and 0.86% of patients, which led the FDA to implement a Risk Evaluation and Mitigation Strategy (REMS) program for clozapine prescribing in 2015. Prior to the REMS program, each of the 6 clozapine manufacturers were required to maintain a registry to monitor for agranulocytosis. Per the REMS program requirements, health care providers (HCPs), dispensing pharmacies, and patients must be enrolled in the program and provide an updated absolute neutrophil count (ANC) prior to prescribing or dispensing clozapine. This is potentially time consuming, particularly during the first 6 months of treatment when the ANC must be monitored weekly and prescriptions are restricted to a 7-day supply. With recent changes to the REMS program, pharmacists are no longer permitted to enroll patients in the REMS system. This adds to the administrative burden on HCPs and may decrease further the likelihood of prescribing clozapine due to lack of time for these tasks. Within the VHA, a separate entity, the VA National Clozapine Coordinating Center (NCCC), reduces the administrative burden on HCPs by monitoring laboratory values, controlling dispensing, and communicating data electronically to the FDA REMS program.¹⁰

Despite the various administrative and clinical barriers and facilitators to prescribing that exist, previous studies have found that certain organizational characteristics also may influence clozapine prescribing rates. Gören and colleagues found that utilization at VHA facilities ranged from < 5% to about 20% of patients with schizophrenia. In this study, facilities with higher utilization of clozapine were more likely to have integrated nonphysician psychiatric providers in clinics and to have clear organizational structure and processes for the treatment of severe mental illness, while facilities with lower utilization rates were less likely to have a point person for clozapine management.¹¹

Although many national efforts have been made to increase clozapine use in recent years, no study has examined HCP perception of barriers and facilitators of clozapine use in the VHA. The objective of this study is to identify barriers and facilitators of clozapine use within the VHA as perceived by HCPs so that these may be addressed to increase appropriate utilization of clozapine in veterans with TRS.

Methods

This study was conducted as a national survey of mental health providers within the VHA who had a scope of practice that allowed clozapine prescribing. Any HCP in a solely administrative role was excluded. The survey tool was reviewed by clinical pharmacy specialists at the Lexington VA Health Care System for content and ease of administration. Following appropriate institutional review board approval, the survey was submitted to the organizational assessment subcommittee and the 5 national VA unions for approval per VA policy. The survey tool was built and administered through REDCap (Nashville, Tennessee) software. An electronic link was sent out to the national VA psychiatric pharmacist and national psychiatry chief listservs for dissemination to the psychiatric providers at each facility with weekly reminders sent out during the 4-week study period to maximize participation. The 29-item survey was developed to assess demographic information, HCP characteristics, perceived barriers and facilitators of clozapine use, and general clozapine knowledge. Knowledge-based questions included appropriate indications, starting dose, baseline ANC requirement, ANC monitoring requirements, and possible AEs.

Primary outcomes assessed were perceived barriers to clozapine prescribing, opinions of potential interventions to facilitate clozapine prescribing, knowledge regarding clozapine, and the impact of medication management clinics on clozapine prescribing. For the purposes of this study, a clozapine clinic was defined as an interdisciplinary team dedicated to clozapine prescribing and monitoring.

Secondary outcomes included a comparison of clozapine prescribing rates among different subgroups of HCPs. Subgroups included HCP discipline, geographic region, presence of academic affiliation, level of comfort or familiarity with clozapine, and percentage of time spent in direct patient care. The regional Veterans Integrated Service Networks (VISN) were used to evaluate the effect of geographic region on prescribing practices.

Results of the survey were analyzed using descriptive statistics. The Mann-Whitney U test was utilized to compare ordinal data from questions that were scored on a Likert scale, and nominal data was compared utilizing the χ² test. For all objectives, an α of < .05 was considered significant.

Results

Ninety-eight HCPs from 17 VISNs responded during the 4-week survey period. One participant was excluded due to a solely administrative role. HCP characteristics and demographics are described in Table 1. The majority of respondents practice in an outpatient mental health setting either at the main VA campus or at a community-based outpatient clinic (CBOC).

Primary Outcomes

Perceived Barriers to Prescribing

The majority of survey respondents rated all factors listed as at least somewhat of a barrier to prescribing. Table 2 describes the perception of these various factors as barriers to clozapine prescribing. Along with prespecified variables, a free text box was available to participants to identify other perceived barriers not listed. Among other concerns listed in this text box were patient buy-in (11.3%), process/coordination of prescribing (8.2%), time restrictions (7.2%), prescriber restrictions (7.2%), access (3.1%), credentialing problems (2.1%), and lack of clear education materials (1%).

Perceived Facilitators to Prescribing

When asked to consider the potential for increased prescribing with various interventions, most participants reported that all identified facilitators would be at least somewhat likely to increase their clozapine utilization. Table 3 describes the perception of these various factors as facilitators to clozapine prescribing. Other identified facilitators included nursing or pharmacy support for follow-ups (4.1%), advanced practice registered nurse credentialing for VHA prescribing (3.1%), utilization of national REMS program without the NCCC (3.1%), outside pharmacy use during titration phase (2.1%), prespecified coverage for HCPs while on leave (1%), and increased access to specialty consults for AEs (1%).

Clozapine Knowledge Assessment

Overall, the average score on the clozapine knowledge assessment portion of the survey was 85.6%. The most commonly missed questions concerned the minimum ANC required to initiate clozapine and the appropriate starting dose for clozapine (Table 4). No significant difference was seen in clozapine utilization based on the clozapine knowledge assessment score when HCPs who scored≤ 60% were compared with those who scored ≥ 80% (P = .29).

Clozapine Clinic

No statistically significant difference was found (P = .35) when rates of prescribing between facilities with or without a dedicated clozapine clinic were compared (Table 5). Additionally, the involvement of a pharmacist in clozapine management clinics did not lead to a statistically significant difference in utilization rates (P = .45).

Secondary Outcomes

Self-rated level of comfort with clozapine prescribing was significantly associated with rates of clozapine prescribing (P < .01). HCPs who rated themselves as somewhat or very comfortable were significantly more likely to prescribe clozapine (Table 6). Providers who rated themselves as very familiar with clozapine monitoring requirements (Table 7) were significantly more likely to prescribe clozapine (P < .01). This significance remained when comparing HCPs who rated themselves as very familiar to those who ranked themselves as somewhat familiar (P = .01). There was no statistically significant difference in clozapine prescribing based on academic medical center affiliation, time spent in direct patient care, or geographic location.

Discussion

This survey targeted VHA HCPs who were licensed to prescribe clozapine to identify barriers and facilitators of use, along with HCP characteristics that may impact clozapine utilization. The findings of this study indicate that even though HCPs may perceive many legitimate barriers to clozapine prescribing, such as the frequent laboratory monitoring requirements, some factors may increase their willingness to prescribe clozapine. Many of these facilitators involve addressing logistical concerns and the administrative burden that accompanies clozapine use. These findings echo previous studies done within and outside the VHA.^8,9

While some identified barriers would require national policy changes to address, others could be addressed at VHA facilities. It may be prudent for each VA facility to identify a HCP who is familiar with clozapine to serve as a subject matter expert. This would be beneficial to those HCPs who feel their patients may benefit from clozapine, but who lack experience in prescribing, or for those with concerns about appropriateness of a specific patient. Additionally, this point of contact could be a valuable resource for concerns regarding administrative issues that may arise with the laboratory reporting system. In some facilities, it may be beneficial to set aside dedicated prescriber time in a clinic designed for clozapine management. Many HCPs in this survey identified the establishment of a clozapine clinic as an intervention that would increase their likelihood of prescribing clozapine. This type of clinic may alleviate some of the concerns regarding appointment availability for weekly or bimonthly appointments early in therapy by having additional staff and time dedicated to accommodating the need for frequent visits.

The majority of respondents to this survey were concerned about the logistics of clozapine monitoring and prescribing; however, this is largely dictated by FDA and VHA policies and regulations. Per national guidance, patients within the VHA should only receive prescriptions for clozapine from their local VA facility pharmacy. It takes many veterans ≥ 1 hour to travel to the closest VA hospital or CBOC. This is especially true for facilities with largely rural catchments. These patients often lack many resources that may be present in more urban areas, such as reliable public transportation. This creates challenges for both weekly laboratory monitoring and dispensing of weekly clozapine prescriptions early in therapy. The option to get clozapine from a local non-VA pharmacy and complete laboratory monitoring at a non-VA laboratory facility could make a clozapine trial more feasible for these veterans. Another consideration is increasing the availability of VA-funded transportation for these patients to assist them in getting to their appointments. Serious mental illness case workers or mental health intensive case management services also may prove useful in arranging for transportation for laboratory monitoring.

Providers with higher self-rated comfort and familiarity with monitoring requirements had a significantly increased likelihood of clozapine utilization. Lack of experience was commonly identified as a barrier to prescribing. Subsequently, the majority of respondents felt that educational sessions would increase their likelihood to prescribe clozapine. This could be addressed at both a facility and national level. As discussed above, a subject matter expert at each facility could provide some of this education and guidance for prescribers who have little or no experience with clozapine. Additionally, national educational presentations and academic detailing campaigns may be an efficient way to provide standardized education across the VHA. Dissemination of required education via the VA Talent Management System is another potential route that would ensure all providers received adequate training regarding the specific challenges of prescribing clozapine within the VA.

Strengths and Limitations

The strengths of this study lie in directly assessing HCP perceptions of barriers and facilitators. It is ultimately up to each individual HCP to decide to use clozapine. Addressing the concerns of these HCPs will be advantageous in efforts to increase clozapine utilization. Additionally, to the authors’ knowledge this is the first study to assess provider characteristics and knowledge of clozapine in relation to utilization rates.

The method of distribution was a major limitation of this study. This survey was distributed via national e-mail listservs; however, no listserv exists within the VA that targets all psychiatric providers. This study relied on the psychiatry chiefs and psychiatric pharmacists within each facility to further disseminate the survey, which could have led to lower response rates than what may be gathered via more direct contact methods. In addition, targeting psychiatric section chiefs and pharmacists may have introduced response bias. Another limitation to this study was the small number of responses. It is possible that this study was not adequately powered to detect significant differences in clozapine prescribing based on HCP characteristics or clozapine clinic availability. Further studies investigating the impact of provider characteristics on clozapine utilization are warranted.

Conclusion

Even though clozapine is an effective medication for TRS, providers underutilize it for a variety of reasons. Commonly identified barriers to prescribing in this study included frequent monitoring requirements, logistics of prescribing (including the REMS program and transportation for laboratory monitoring), pharmacotherapy preferences, and concern about the potential AEs. Facilitators identified in this study included implementation of clozapine clinics, having a specified contact point within the facility to assist with administrative responsibility, educational sessions, and the ability to utilize outside laboratories.

While some of these barriers and facilitators cannot be fully addressed without national policy change, individual facilities should make every effort to identify institution-specific concerns and address these. Clozapine clinic implementation and educational sessions appear to be reasonable considerations. This study did not identify any HCP characteristics that significantly impacted the likelihood of prescribing clozapine aside from self-rated comfort and familiarity with clozapine. However, further studies are needed to fully assess the impact of provider characteristics on clozapine utilization.

Clozapine is an atypical antipsychotic that the US Food and Drug Administration (FDA) approved for use in schizophrenia and suicidality associated with schizophrenia or schizoaffective disorder. Clozapine has been shown to be superior to other antipsychotic treatment for treatment resistant schizophrenia (TRS), which is defined as failure of 2 adequate trials of antipsychotic therapy.¹ Up to 30% of patients with schizophrenia are classified as treatment resistant.²

Clozapine is considered the drug of choice for patients with TRS in both the US Department of Veterans Affairs (VA) policies and other evidence-based guidelines and remains the only antipsychotic with FDA approval for TRS.^2-5 Patients treated with clozapine have fewer psychiatric hospitalizations, fewer suicide attempts, lower rates of nonadherence, and less antipsychotic polypharmacy compared with patients who are treated with other antipsychotic therapy.^6,7 A 2016 study by Gören and colleagues found that in addition to the clinical benefits, there is the potential for cost savings of $22,000 for each veteran switched to and treated with clozapine for 1 year even when accounting for the cost of monitoring and potential adverse event management.⁸ This translates to a total savings of > $80 million if current utilization were doubled and half of those patients continued treatment for 1 year within the Veterans Health Administration (VHA). However, despite evidence supporting use, < 10% of Medicaid-eligible patients and only 4% of patients with schizophrenia in the VHA are prescribed clozapine.^8,9

Clozapine is underutilized for a variety of reasons, including intensive monitoring requirements, potential for severe adverse drug reactions, and concern for patient adherence.⁸ Common adverse effects (AEs) can range from mild to severe and include weight gain, constipation, sedation, orthostatic hypotension, and excessive salivation. Clozapine also carries a boxed warning for agranulocytosis, seizures, myocarditis, other cardiovascular and respiratory AEs (including orthostatic hypotension), and increased mortality in elderly patients with dementia.

Severe agranulocytosis occurs in between 0.05% and 0.86% of patients, which led the FDA to implement a Risk Evaluation and Mitigation Strategy (REMS) program for clozapine prescribing in 2015. Prior to the REMS program, each of the 6 clozapine manufacturers were required to maintain a registry to monitor for agranulocytosis. Per the REMS program requirements, health care providers (HCPs), dispensing pharmacies, and patients must be enrolled in the program and provide an updated absolute neutrophil count (ANC) prior to prescribing or dispensing clozapine. This is potentially time consuming, particularly during the first 6 months of treatment when the ANC must be monitored weekly and prescriptions are restricted to a 7-day supply. With recent changes to the REMS program, pharmacists are no longer permitted to enroll patients in the REMS system. This adds to the administrative burden on HCPs and may decrease further the likelihood of prescribing clozapine due to lack of time for these tasks. Within the VHA, a separate entity, the VA National Clozapine Coordinating Center (NCCC), reduces the administrative burden on HCPs by monitoring laboratory values, controlling dispensing, and communicating data electronically to the FDA REMS program.¹⁰

Despite the various administrative and clinical barriers and facilitators to prescribing that exist, previous studies have found that certain organizational characteristics also may influence clozapine prescribing rates. Gören and colleagues found that utilization at VHA facilities ranged from < 5% to about 20% of patients with schizophrenia. In this study, facilities with higher utilization of clozapine were more likely to have integrated nonphysician psychiatric providers in clinics and to have clear organizational structure and processes for the treatment of severe mental illness, while facilities with lower utilization rates were less likely to have a point person for clozapine management.¹¹

Although many national efforts have been made to increase clozapine use in recent years, no study has examined HCP perception of barriers and facilitators of clozapine use in the VHA. The objective of this study is to identify barriers and facilitators of clozapine use within the VHA as perceived by HCPs so that these may be addressed to increase appropriate utilization of clozapine in veterans with TRS.

Methods

This study was conducted as a national survey of mental health providers within the VHA who had a scope of practice that allowed clozapine prescribing. Any HCP in a solely administrative role was excluded. The survey tool was reviewed by clinical pharmacy specialists at the Lexington VA Health Care System for content and ease of administration. Following appropriate institutional review board approval, the survey was submitted to the organizational assessment subcommittee and the 5 national VA unions for approval per VA policy. The survey tool was built and administered through REDCap (Nashville, Tennessee) software. An electronic link was sent out to the national VA psychiatric pharmacist and national psychiatry chief listservs for dissemination to the psychiatric providers at each facility with weekly reminders sent out during the 4-week study period to maximize participation. The 29-item survey was developed to assess demographic information, HCP characteristics, perceived barriers and facilitators of clozapine use, and general clozapine knowledge. Knowledge-based questions included appropriate indications, starting dose, baseline ANC requirement, ANC monitoring requirements, and possible AEs.

Primary outcomes assessed were perceived barriers to clozapine prescribing, opinions of potential interventions to facilitate clozapine prescribing, knowledge regarding clozapine, and the impact of medication management clinics on clozapine prescribing. For the purposes of this study, a clozapine clinic was defined as an interdisciplinary team dedicated to clozapine prescribing and monitoring.

Secondary outcomes included a comparison of clozapine prescribing rates among different subgroups of HCPs. Subgroups included HCP discipline, geographic region, presence of academic affiliation, level of comfort or familiarity with clozapine, and percentage of time spent in direct patient care. The regional Veterans Integrated Service Networks (VISN) were used to evaluate the effect of geographic region on prescribing practices.

Results of the survey were analyzed using descriptive statistics. The Mann-Whitney U test was utilized to compare ordinal data from questions that were scored on a Likert scale, and nominal data was compared utilizing the χ² test. For all objectives, an α of < .05 was considered significant.

Results

Ninety-eight HCPs from 17 VISNs responded during the 4-week survey period. One participant was excluded due to a solely administrative role. HCP characteristics and demographics are described in Table 1. The majority of respondents practice in an outpatient mental health setting either at the main VA campus or at a community-based outpatient clinic (CBOC).

Primary Outcomes

Perceived Barriers to Prescribing

The majority of survey respondents rated all factors listed as at least somewhat of a barrier to prescribing. Table 2 describes the perception of these various factors as barriers to clozapine prescribing. Along with prespecified variables, a free text box was available to participants to identify other perceived barriers not listed. Among other concerns listed in this text box were patient buy-in (11.3%), process/coordination of prescribing (8.2%), time restrictions (7.2%), prescriber restrictions (7.2%), access (3.1%), credentialing problems (2.1%), and lack of clear education materials (1%).

Perceived Facilitators to Prescribing

When asked to consider the potential for increased prescribing with various interventions, most participants reported that all identified facilitators would be at least somewhat likely to increase their clozapine utilization. Table 3 describes the perception of these various factors as facilitators to clozapine prescribing. Other identified facilitators included nursing or pharmacy support for follow-ups (4.1%), advanced practice registered nurse credentialing for VHA prescribing (3.1%), utilization of national REMS program without the NCCC (3.1%), outside pharmacy use during titration phase (2.1%), prespecified coverage for HCPs while on leave (1%), and increased access to specialty consults for AEs (1%).

Clozapine Knowledge Assessment

Overall, the average score on the clozapine knowledge assessment portion of the survey was 85.6%. The most commonly missed questions concerned the minimum ANC required to initiate clozapine and the appropriate starting dose for clozapine (Table 4). No significant difference was seen in clozapine utilization based on the clozapine knowledge assessment score when HCPs who scored≤ 60% were compared with those who scored ≥ 80% (P = .29).

Clozapine Clinic

No statistically significant difference was found (P = .35) when rates of prescribing between facilities with or without a dedicated clozapine clinic were compared (Table 5). Additionally, the involvement of a pharmacist in clozapine management clinics did not lead to a statistically significant difference in utilization rates (P = .45).

Secondary Outcomes

Self-rated level of comfort with clozapine prescribing was significantly associated with rates of clozapine prescribing (P < .01). HCPs who rated themselves as somewhat or very comfortable were significantly more likely to prescribe clozapine (Table 6). Providers who rated themselves as very familiar with clozapine monitoring requirements (Table 7) were significantly more likely to prescribe clozapine (P < .01). This significance remained when comparing HCPs who rated themselves as very familiar to those who ranked themselves as somewhat familiar (P = .01). There was no statistically significant difference in clozapine prescribing based on academic medical center affiliation, time spent in direct patient care, or geographic location.

Discussion

This survey targeted VHA HCPs who were licensed to prescribe clozapine to identify barriers and facilitators of use, along with HCP characteristics that may impact clozapine utilization. The findings of this study indicate that even though HCPs may perceive many legitimate barriers to clozapine prescribing, such as the frequent laboratory monitoring requirements, some factors may increase their willingness to prescribe clozapine. Many of these facilitators involve addressing logistical concerns and the administrative burden that accompanies clozapine use. These findings echo previous studies done within and outside the VHA.^8,9

While some identified barriers would require national policy changes to address, others could be addressed at VHA facilities. It may be prudent for each VA facility to identify a HCP who is familiar with clozapine to serve as a subject matter expert. This would be beneficial to those HCPs who feel their patients may benefit from clozapine, but who lack experience in prescribing, or for those with concerns about appropriateness of a specific patient. Additionally, this point of contact could be a valuable resource for concerns regarding administrative issues that may arise with the laboratory reporting system. In some facilities, it may be beneficial to set aside dedicated prescriber time in a clinic designed for clozapine management. Many HCPs in this survey identified the establishment of a clozapine clinic as an intervention that would increase their likelihood of prescribing clozapine. This type of clinic may alleviate some of the concerns regarding appointment availability for weekly or bimonthly appointments early in therapy by having additional staff and time dedicated to accommodating the need for frequent visits.

The majority of respondents to this survey were concerned about the logistics of clozapine monitoring and prescribing; however, this is largely dictated by FDA and VHA policies and regulations. Per national guidance, patients within the VHA should only receive prescriptions for clozapine from their local VA facility pharmacy. It takes many veterans ≥ 1 hour to travel to the closest VA hospital or CBOC. This is especially true for facilities with largely rural catchments. These patients often lack many resources that may be present in more urban areas, such as reliable public transportation. This creates challenges for both weekly laboratory monitoring and dispensing of weekly clozapine prescriptions early in therapy. The option to get clozapine from a local non-VA pharmacy and complete laboratory monitoring at a non-VA laboratory facility could make a clozapine trial more feasible for these veterans. Another consideration is increasing the availability of VA-funded transportation for these patients to assist them in getting to their appointments. Serious mental illness case workers or mental health intensive case management services also may prove useful in arranging for transportation for laboratory monitoring.

Providers with higher self-rated comfort and familiarity with monitoring requirements had a significantly increased likelihood of clozapine utilization. Lack of experience was commonly identified as a barrier to prescribing. Subsequently, the majority of respondents felt that educational sessions would increase their likelihood to prescribe clozapine. This could be addressed at both a facility and national level. As discussed above, a subject matter expert at each facility could provide some of this education and guidance for prescribers who have little or no experience with clozapine. Additionally, national educational presentations and academic detailing campaigns may be an efficient way to provide standardized education across the VHA. Dissemination of required education via the VA Talent Management System is another potential route that would ensure all providers received adequate training regarding the specific challenges of prescribing clozapine within the VA.

Strengths and Limitations

The strengths of this study lie in directly assessing HCP perceptions of barriers and facilitators. It is ultimately up to each individual HCP to decide to use clozapine. Addressing the concerns of these HCPs will be advantageous in efforts to increase clozapine utilization. Additionally, to the authors’ knowledge this is the first study to assess provider characteristics and knowledge of clozapine in relation to utilization rates.

The method of distribution was a major limitation of this study. This survey was distributed via national e-mail listservs; however, no listserv exists within the VA that targets all psychiatric providers. This study relied on the psychiatry chiefs and psychiatric pharmacists within each facility to further disseminate the survey, which could have led to lower response rates than what may be gathered via more direct contact methods. In addition, targeting psychiatric section chiefs and pharmacists may have introduced response bias. Another limitation to this study was the small number of responses. It is possible that this study was not adequately powered to detect significant differences in clozapine prescribing based on HCP characteristics or clozapine clinic availability. Further studies investigating the impact of provider characteristics on clozapine utilization are warranted.

Conclusion

Even though clozapine is an effective medication for TRS, providers underutilize it for a variety of reasons. Commonly identified barriers to prescribing in this study included frequent monitoring requirements, logistics of prescribing (including the REMS program and transportation for laboratory monitoring), pharmacotherapy preferences, and concern about the potential AEs. Facilitators identified in this study included implementation of clozapine clinics, having a specified contact point within the facility to assist with administrative responsibility, educational sessions, and the ability to utilize outside laboratories.

While some of these barriers and facilitators cannot be fully addressed without national policy change, individual facilities should make every effort to identify institution-specific concerns and address these. Clozapine clinic implementation and educational sessions appear to be reasonable considerations. This study did not identify any HCP characteristics that significantly impacted the likelihood of prescribing clozapine aside from self-rated comfort and familiarity with clozapine. However, further studies are needed to fully assess the impact of provider characteristics on clozapine utilization.

Clozapine is an atypical antipsychotic that the US Food and Drug Administration (FDA) approved for use in schizophrenia and suicidality associated with schizophrenia or schizoaffective disorder. Clozapine has been shown to be superior to other antipsychotic treatment for treatment resistant schizophrenia (TRS), which is defined as failure of 2 adequate trials of antipsychotic therapy.¹ Up to 30% of patients with schizophrenia are classified as treatment resistant.²

Clozapine is considered the drug of choice for patients with TRS in both the US Department of Veterans Affairs (VA) policies and other evidence-based guidelines and remains the only antipsychotic with FDA approval for TRS.^2-5 Patients treated with clozapine have fewer psychiatric hospitalizations, fewer suicide attempts, lower rates of nonadherence, and less antipsychotic polypharmacy compared with patients who are treated with other antipsychotic therapy.^6,7 A 2016 study by Gören and colleagues found that in addition to the clinical benefits, there is the potential for cost savings of $22,000 for each veteran switched to and treated with clozapine for 1 year even when accounting for the cost of monitoring and potential adverse event management.⁸ This translates to a total savings of > $80 million if current utilization were doubled and half of those patients continued treatment for 1 year within the Veterans Health Administration (VHA). However, despite evidence supporting use, < 10% of Medicaid-eligible patients and only 4% of patients with schizophrenia in the VHA are prescribed clozapine.^8,9

Clozapine is underutilized for a variety of reasons, including intensive monitoring requirements, potential for severe adverse drug reactions, and concern for patient adherence.⁸ Common adverse effects (AEs) can range from mild to severe and include weight gain, constipation, sedation, orthostatic hypotension, and excessive salivation. Clozapine also carries a boxed warning for agranulocytosis, seizures, myocarditis, other cardiovascular and respiratory AEs (including orthostatic hypotension), and increased mortality in elderly patients with dementia.

Severe agranulocytosis occurs in between 0.05% and 0.86% of patients, which led the FDA to implement a Risk Evaluation and Mitigation Strategy (REMS) program for clozapine prescribing in 2015. Prior to the REMS program, each of the 6 clozapine manufacturers were required to maintain a registry to monitor for agranulocytosis. Per the REMS program requirements, health care providers (HCPs), dispensing pharmacies, and patients must be enrolled in the program and provide an updated absolute neutrophil count (ANC) prior to prescribing or dispensing clozapine. This is potentially time consuming, particularly during the first 6 months of treatment when the ANC must be monitored weekly and prescriptions are restricted to a 7-day supply. With recent changes to the REMS program, pharmacists are no longer permitted to enroll patients in the REMS system. This adds to the administrative burden on HCPs and may decrease further the likelihood of prescribing clozapine due to lack of time for these tasks. Within the VHA, a separate entity, the VA National Clozapine Coordinating Center (NCCC), reduces the administrative burden on HCPs by monitoring laboratory values, controlling dispensing, and communicating data electronically to the FDA REMS program.¹⁰

Despite the various administrative and clinical barriers and facilitators to prescribing that exist, previous studies have found that certain organizational characteristics also may influence clozapine prescribing rates. Gören and colleagues found that utilization at VHA facilities ranged from < 5% to about 20% of patients with schizophrenia. In this study, facilities with higher utilization of clozapine were more likely to have integrated nonphysician psychiatric providers in clinics and to have clear organizational structure and processes for the treatment of severe mental illness, while facilities with lower utilization rates were less likely to have a point person for clozapine management.¹¹

Although many national efforts have been made to increase clozapine use in recent years, no study has examined HCP perception of barriers and facilitators of clozapine use in the VHA. The objective of this study is to identify barriers and facilitators of clozapine use within the VHA as perceived by HCPs so that these may be addressed to increase appropriate utilization of clozapine in veterans with TRS.

Methods

This study was conducted as a national survey of mental health providers within the VHA who had a scope of practice that allowed clozapine prescribing. Any HCP in a solely administrative role was excluded. The survey tool was reviewed by clinical pharmacy specialists at the Lexington VA Health Care System for content and ease of administration. Following appropriate institutional review board approval, the survey was submitted to the organizational assessment subcommittee and the 5 national VA unions for approval per VA policy. The survey tool was built and administered through REDCap (Nashville, Tennessee) software. An electronic link was sent out to the national VA psychiatric pharmacist and national psychiatry chief listservs for dissemination to the psychiatric providers at each facility with weekly reminders sent out during the 4-week study period to maximize participation. The 29-item survey was developed to assess demographic information, HCP characteristics, perceived barriers and facilitators of clozapine use, and general clozapine knowledge. Knowledge-based questions included appropriate indications, starting dose, baseline ANC requirement, ANC monitoring requirements, and possible AEs.

Primary outcomes assessed were perceived barriers to clozapine prescribing, opinions of potential interventions to facilitate clozapine prescribing, knowledge regarding clozapine, and the impact of medication management clinics on clozapine prescribing. For the purposes of this study, a clozapine clinic was defined as an interdisciplinary team dedicated to clozapine prescribing and monitoring.

Secondary outcomes included a comparison of clozapine prescribing rates among different subgroups of HCPs. Subgroups included HCP discipline, geographic region, presence of academic affiliation, level of comfort or familiarity with clozapine, and percentage of time spent in direct patient care. The regional Veterans Integrated Service Networks (VISN) were used to evaluate the effect of geographic region on prescribing practices.

Results of the survey were analyzed using descriptive statistics. The Mann-Whitney U test was utilized to compare ordinal data from questions that were scored on a Likert scale, and nominal data was compared utilizing the χ² test. For all objectives, an α of < .05 was considered significant.

Results

Ninety-eight HCPs from 17 VISNs responded during the 4-week survey period. One participant was excluded due to a solely administrative role. HCP characteristics and demographics are described in Table 1. The majority of respondents practice in an outpatient mental health setting either at the main VA campus or at a community-based outpatient clinic (CBOC).

Primary Outcomes

Perceived Barriers to Prescribing

The majority of survey respondents rated all factors listed as at least somewhat of a barrier to prescribing. Table 2 describes the perception of these various factors as barriers to clozapine prescribing. Along with prespecified variables, a free text box was available to participants to identify other perceived barriers not listed. Among other concerns listed in this text box were patient buy-in (11.3%), process/coordination of prescribing (8.2%), time restrictions (7.2%), prescriber restrictions (7.2%), access (3.1%), credentialing problems (2.1%), and lack of clear education materials (1%).

Perceived Facilitators to Prescribing

When asked to consider the potential for increased prescribing with various interventions, most participants reported that all identified facilitators would be at least somewhat likely to increase their clozapine utilization. Table 3 describes the perception of these various factors as facilitators to clozapine prescribing. Other identified facilitators included nursing or pharmacy support for follow-ups (4.1%), advanced practice registered nurse credentialing for VHA prescribing (3.1%), utilization of national REMS program without the NCCC (3.1%), outside pharmacy use during titration phase (2.1%), prespecified coverage for HCPs while on leave (1%), and increased access to specialty consults for AEs (1%).

Clozapine Knowledge Assessment

Overall, the average score on the clozapine knowledge assessment portion of the survey was 85.6%. The most commonly missed questions concerned the minimum ANC required to initiate clozapine and the appropriate starting dose for clozapine (Table 4). No significant difference was seen in clozapine utilization based on the clozapine knowledge assessment score when HCPs who scored≤ 60% were compared with those who scored ≥ 80% (P = .29).

Clozapine Clinic

No statistically significant difference was found (P = .35) when rates of prescribing between facilities with or without a dedicated clozapine clinic were compared (Table 5). Additionally, the involvement of a pharmacist in clozapine management clinics did not lead to a statistically significant difference in utilization rates (P = .45).

Secondary Outcomes

Self-rated level of comfort with clozapine prescribing was significantly associated with rates of clozapine prescribing (P < .01). HCPs who rated themselves as somewhat or very comfortable were significantly more likely to prescribe clozapine (Table 6). Providers who rated themselves as very familiar with clozapine monitoring requirements (Table 7) were significantly more likely to prescribe clozapine (P < .01). This significance remained when comparing HCPs who rated themselves as very familiar to those who ranked themselves as somewhat familiar (P = .01). There was no statistically significant difference in clozapine prescribing based on academic medical center affiliation, time spent in direct patient care, or geographic location.

Discussion

This survey targeted VHA HCPs who were licensed to prescribe clozapine to identify barriers and facilitators of use, along with HCP characteristics that may impact clozapine utilization. The findings of this study indicate that even though HCPs may perceive many legitimate barriers to clozapine prescribing, such as the frequent laboratory monitoring requirements, some factors may increase their willingness to prescribe clozapine. Many of these facilitators involve addressing logistical concerns and the administrative burden that accompanies clozapine use. These findings echo previous studies done within and outside the VHA.^8,9

While some identified barriers would require national policy changes to address, others could be addressed at VHA facilities. It may be prudent for each VA facility to identify a HCP who is familiar with clozapine to serve as a subject matter expert. This would be beneficial to those HCPs who feel their patients may benefit from clozapine, but who lack experience in prescribing, or for those with concerns about appropriateness of a specific patient. Additionally, this point of contact could be a valuable resource for concerns regarding administrative issues that may arise with the laboratory reporting system. In some facilities, it may be beneficial to set aside dedicated prescriber time in a clinic designed for clozapine management. Many HCPs in this survey identified the establishment of a clozapine clinic as an intervention that would increase their likelihood of prescribing clozapine. This type of clinic may alleviate some of the concerns regarding appointment availability for weekly or bimonthly appointments early in therapy by having additional staff and time dedicated to accommodating the need for frequent visits.

The majority of respondents to this survey were concerned about the logistics of clozapine monitoring and prescribing; however, this is largely dictated by FDA and VHA policies and regulations. Per national guidance, patients within the VHA should only receive prescriptions for clozapine from their local VA facility pharmacy. It takes many veterans ≥ 1 hour to travel to the closest VA hospital or CBOC. This is especially true for facilities with largely rural catchments. These patients often lack many resources that may be present in more urban areas, such as reliable public transportation. This creates challenges for both weekly laboratory monitoring and dispensing of weekly clozapine prescriptions early in therapy. The option to get clozapine from a local non-VA pharmacy and complete laboratory monitoring at a non-VA laboratory facility could make a clozapine trial more feasible for these veterans. Another consideration is increasing the availability of VA-funded transportation for these patients to assist them in getting to their appointments. Serious mental illness case workers or mental health intensive case management services also may prove useful in arranging for transportation for laboratory monitoring.

Providers with higher self-rated comfort and familiarity with monitoring requirements had a significantly increased likelihood of clozapine utilization. Lack of experience was commonly identified as a barrier to prescribing. Subsequently, the majority of respondents felt that educational sessions would increase their likelihood to prescribe clozapine. This could be addressed at both a facility and national level. As discussed above, a subject matter expert at each facility could provide some of this education and guidance for prescribers who have little or no experience with clozapine. Additionally, national educational presentations and academic detailing campaigns may be an efficient way to provide standardized education across the VHA. Dissemination of required education via the VA Talent Management System is another potential route that would ensure all providers received adequate training regarding the specific challenges of prescribing clozapine within the VA.

Strengths and Limitations

The strengths of this study lie in directly assessing HCP perceptions of barriers and facilitators. It is ultimately up to each individual HCP to decide to use clozapine. Addressing the concerns of these HCPs will be advantageous in efforts to increase clozapine utilization. Additionally, to the authors’ knowledge this is the first study to assess provider characteristics and knowledge of clozapine in relation to utilization rates.

The method of distribution was a major limitation of this study. This survey was distributed via national e-mail listservs; however, no listserv exists within the VA that targets all psychiatric providers. This study relied on the psychiatry chiefs and psychiatric pharmacists within each facility to further disseminate the survey, which could have led to lower response rates than what may be gathered via more direct contact methods. In addition, targeting psychiatric section chiefs and pharmacists may have introduced response bias. Another limitation to this study was the small number of responses. It is possible that this study was not adequately powered to detect significant differences in clozapine prescribing based on HCP characteristics or clozapine clinic availability. Further studies investigating the impact of provider characteristics on clozapine utilization are warranted.

Conclusion

Even though clozapine is an effective medication for TRS, providers underutilize it for a variety of reasons. Commonly identified barriers to prescribing in this study included frequent monitoring requirements, logistics of prescribing (including the REMS program and transportation for laboratory monitoring), pharmacotherapy preferences, and concern about the potential AEs. Facilitators identified in this study included implementation of clozapine clinics, having a specified contact point within the facility to assist with administrative responsibility, educational sessions, and the ability to utilize outside laboratories.

While some of these barriers and facilitators cannot be fully addressed without national policy change, individual facilities should make every effort to identify institution-specific concerns and address these. Clozapine clinic implementation and educational sessions appear to be reasonable considerations. This study did not identify any HCP characteristics that significantly impacted the likelihood of prescribing clozapine aside from self-rated comfort and familiarity with clozapine. However, further studies are needed to fully assess the impact of provider characteristics on clozapine utilization.

Depression affects about 4.4% of the global population.¹ Major depressive disorder (MDD) is currently the fourth highest cause of disability in the world and by 2030 MDD is expected to be third.² Research has determined that 1 in 3 veterans seen in primary care shows depressive symptoms. Of these, 1 in 5 have symptoms severe enough to warrant further evaluation for MDD, and 1 in 10 require treatment.³ With this high rate of depression, optimized treatment strategies are needed, including antidepressants and psychotherapy. Antidepressants have grown in popularity since market entry in the 1950s; currently 1 in 10 US citizens aged ≥ 12 years are prescribed an antidepressant.⁴

Antidepressant Adherence

Antidepressant adherence is crucial for response and remission. Sansone and Sansone reported that, on average, < 50% of patients are adherent to their antidepressant treatment regimen 6 months after initiation (range, 5.4% - 87.6%).⁵ Fortney and colleagues found that, based on patient report, < 20% of veterans maintained at least 80% adherence at 6 months.⁶ Patients who are nonadherent are at an increased risk for relapse and recurrence and are more likely to seek care at an emergency department or to become hospitalized.² In addition to the negative impact on patient outcomes, antidepressant nonadherence may also result in increased economic burden. In the US alone, the annual cost of treating MDD exceeds $210 billion, which will continue to increase if nonadherence is not mitigated.¹

Patient-specific characteristics such as lack of knowledge about proper administration techniques, misguided beliefs, and negative attitudes towards treatment may affect adherence.⁵ In the veteran population, reasons for discontinuation also include lack of perceived benefit and adverse effects, specifically sexual difficulties.⁶ Sociodemographic and other patient characteristics also may be risk factors for nonadherence, including multiple medical comorbidities; substance use disorder (SUD) diagnosis; male gender; younger age; lack of health insurance or a higher medical cost burden; lack of or low involvement in psychotherapy; infrequent follow up visits; and high illness severity.^1,7,8

Appreciating the adherence rates among the different antidepressant classes may help in antidepressant selection. To our knowledge, there have been no prior studies conducted in the veteran population that compared adherence rates among antidepressant classes. Studies in the nonveteran population report differing adherence rates among the antidepressant classes with generally higher adherence in patients prescribed serotonin norepinephrine reuptake inhibitors (SNRIs) and selective serotonin reuptake inhibitors (SSRIs). A retrospective review of commercial, Medicare, and Medicaid claims in > 5000 patients found that SNRIs had a significantly higher 3-month adherence rate based on the portion of days covered model (47%; P < .001) than other antidepressant classes (SSRIs, 42%; other antidepressants, 37%; tricyclic antidepressants [TCAs], 24%).⁷ Monoamine oxidase inhibitors (MAOIs) prescribed to 1% of the study population had the highest adherence rate at 48%.⁷ A study reviewing > 25 000 patient claims sourced from the IBM MarketScan research database (Armonk, NY) found that SSRIs (Odds ratio [OR], 1.26; P < .001) and norepinephrine dopamine reuptake inhibitors (NDRIs) (OR, 1.23; P = .007) had the highest ORs for adherence according to the portion of days covered model, while other serotonin modulators (OR, 0.65; P = .001) and tri/tetracyclic antidepressants (OR, 0.49; P < . 001) had the lowest ORs and were associated with lower adherence.¹

VA Approaches to Adherence

To address antidepressant adherence, the US Department of Veteran Affairs (VA) adopted 2 measures from the Healthcare Effectiveness Data and Information Set: MDD43h and MDD47h. Measure MDD43h is defined as the proportion of patients with a depression diagnosis newly treated with an antidepressant medication who remained on the antidepressant medication for at least 84 out of 114 days (3 months). MDD47h is similar, but assesses patients remaining on an antidepressant medication for at least 180 out of 230 days (6 months).⁹ These constitute a SAIL (Strategic Analytics for Improvement and Learning) measure by which VA hospitals are compared. High performance on these measures aids in improving the comparative status of a VA facility.

To help improve performance on these measures, the VA Psychotropic Drug Safety Initiative developed the Antidepressant Nonadherence Report, which serves as a case finder for clinicians to identify veterans with low adherence and/or those overdue for a refill. The dashboard uses the medication possession ratio (MPR) to calculate adherence. While the optimal value is still widely debated, an MPR of ≥ 80% is generally accepted for many disease states.¹⁰ The dashboard defines low adherence as ≤ 60%.

As of September 2018, the Antidepressant Nonadherence Report for the Michael E. DeBakey VA Medical Center (MEDVAMC) in Houston, Texas, included > 5000 patients in both MEDVAMC and associated community-based outpatient clinics. About 30% of patients were categorized as overdue for a refill.

Study Objectives

To better understand the problem of antidepressant adherence within this population, we decided to study the relationship between antidepressant class and adherence rates, as well as how adherence relates to patient-specific characteristics. By highlighting predisposing risk factors to low adherence, we hope to provide better interventions.

The primary objective of this study was to determine whether 3-month adherence rates, measured by the MPR, differ between antidepressant classes in veterans newly initiated on antidepressant therapy. A secondary objective was to identify whether there are differences in patient characteristics between those with high MPR (≥ 80%) and low MPR (≤ 60%).

Methods

This study used a retrospective, cross-sectional chart review of MEDVAMC patients from the Antidepressant Nonadherence Report. Patients were: aged ≥ 18 years; newly initiated on an antidepressant with no previous use of the same medication; outpatient for the entire study period; and seen by a physician, physician assistant, nurse practitioner, or pharmacist mental health provider (MHP) within the 3-month study period. All patients’ charts showed a depression diagnosis—an inclusion criterion for the MDD43h and MDD47h measures. However, for this study, the indication(s) for the chosen antidepressant were determined by the MHP note in the patient electronic health record on the date that the medication was prescribed. Study patients may not have had a current depression diagnosis based upon the MHP assessment on the index date. We chose to determine the antidepressant indication(s) in this way because the MHP note would have the most detailed patient assessment.

Patients with previous use of the prescribed antidepressant were excluded because previous exposure may bias the patient and affect current adherence. Patients who were hospitalized at the VA for any reason during the 3-month study period were excluded because of a known risk during transitions of care for medications to be held or discontinued, which could impact refills and MPR. Some patients were excluded if they were taking the antidepressant for a nonmood-related indication (insomnia, neuropathy, migraine prophylaxis, etc). Patients also were excluded if the antidepressant was prescribed to take as-needed; if trazodone was the only antidepressant prescribed; if they were diagnosed with cognitive impairment including dementia or history of stroke; or if they were diagnosed with schizophrenia, schizoaffective disorder, or borderline personality disorder. Use of trazodone as the only antidepressant was excluded because of the relatively common practice to use it in the treatment of insomnia rather than depression.

Primary and Secondary Outcomes

Information collected for the primary outcome, including antidepressant class and MPR, was obtained from the Antidepressant Nonadherence Report. For the secondary outcome, the following data was collected for each patient: age, gender, race, housing status, Medication Regimen Complexity Index (MRCI), number and type of psychiatric diagnoses, number of previous antidepressants, psychotherapy involvement, and number of mental health visits during the 3-month study period. The MRCI is an objective, validated tool that determines relative medication regimen complexity by taking into consideration the number of medications, route and frequency of administration, splitting/multiple dosage units, and presence of any special instructions.¹¹

The primary outcome was tested using a one-way analysis of variance (ANOVA). Nominal secondary outcomes were analyzed using the Fisher’s Exact. Continuous secondary outcomes were examined using an unpaired t-test.

Results

Of 320 charts, 212 patients were excluded and 108 were included (Figure). The most common reason for exclusion was a previously prescribed antidepressant. Of the included patients 49 had an MPR ≥ 80% and 24 had an MPR ≤ 60%. The characteristics of the study population are found in Table 1 and the antidepressant frequencies and MPRs are included in Table 2.

About 87% of study patients had a diagnosis of depression. Other concomitant psychiatric diagnoses include posttraumatic stress disorder (PTSD), anxiety, insomnia, and 2 cases of intermittent explosive disorder. There were no significant differences in mean MPR between the antidepressant classes (P = .31). Within each drug class, we identified the proportion of patients with high adherence (MPR ≥ 80%). Bupropion had the greatest percentage of highly adherent patients (50%) compared with SSRIs (42.5%), SNRIs (38.5%), and mirtazapine (31.3%).

Table 3 compares the characteristics between high MPR and low MPR patients. The low MPR group showed a significantly greater proportion of patients with an SUD than the high adherence group (41.7% vs 10.2%, respectively; P = .04). The most common type of SUD was alcohol use disorder followed by cannabis use disorder. There were no other statistically significant differences identified between high and low MPR groups. There was a trend towards significance when comparing MRCI between the 2 groups (high MPR, 15.2; low MPR, 10.8; P = .06).

Discussion

In our study, there was no significant difference in 3-month adherence rates between veterans on SSRIs, SNRIs, bupropion, and mirtazapine. This result differs from a study by Keyloun and colleagues that found that SNRIs had a significantly higher adherence rate when compared with other antidepressants.⁷

SSRIs were the most commonly prescribed antidepressant in our study, and also had the greatest mean 3-month MPR. The high use of SSRIs may be due to the greater number of SSRI choices to select from compared with other classes. SSRIs may also have been selected more frequently because nearly half (45.4%) of the patients had comorbid PTSD, for which 3 of the 4 first-line treatment options are SSRIs (sertraline, paroxetine, fluoxetine).

As previously stated, Keyloun and colleagues previously found that SNRIs had the highest 3-month adherence rate in a study of > 5000 patients.⁷ In our study, SNRIs had the second highest mean 3-month MPR at about 75%, but the difference was not considered significant when compared with other antidepressant classes.

Bupropion was prescribed least frequently, but had the largest proportion of adherent patients. Gaspar and colleagues demonstrated similar outcomes, reporting that patients prescribed bupropion had a high OR for adherence.¹ Bupropion may have had relatively low prescribing rates in our study because 64% of patients were diagnosed with a comorbid anxiety disorder and/or PTSD. For these patients, bupropion avoidance may have been intentional so as to not exacerbate anxiety.

Mirtazapine had both the lowest mean MPR and the lowest proportion of adherent patients. While no significant difference between antidepressant 3-month adherence rates were found, this study’s findings were similar to previous studies that found lower adherence to mirtazapine.^1,5 Adverse effects such as sedation, increased appetite, and weight gain may have contributed to low adherence with mirtazapine.⁴ Patients may also have been using the agent on an as needed basis to treat insomnia despite the order being written for daily use.

Substance Use Disorder Influence

A significantly greater proportion of patients had an SUD in the low MPR group, suggesting that an SUD diagnosis may be a risk factor for low adherence. This finding is consistent with previous studies that also found that an SUD was associated with poor medication adherence.¹ Patients with depression and an SUD have been shown to have suboptimal outcomes compared to those without an SUD, including a lower response to antidepressant therapy and increased illness severity.^11,12

In a study of 131 outpatients with dual diagnosis (26% with depression) predictors for low self-reported adherence were a medication-related variable (increased adverse effects), a cognitive variable (low self-efficacy for drug avoidance), and a social factor (low social support for recovery). This variety of predictors seems to indicate that simple memory aids may not improve adherence. “Dual focus” mutual aid groups that provide social support for patients with dual diagnosis have been shown to improve adherence.¹³

The MEDVAMC Substance Dependence Treatment Program (SDTP) is an outpatient program that uses group education to aid veterans, often those with comorbid psychiatric disorders, to build relapse prevention skills and provide social support. Further exploration into the relationship between involvement in SDTP groups and antidepressant adherence in patients with dual diagnosis may be warranted.

Secondary Outcomes

Trends identified in the secondary outcome were similar to outcomes of previous studies: younger age, lower therapy involvement, and more comorbid psychiatric diagnoses were associated with lower adherence.^1,7,8 The presence of increased previous use of antidepressants in the low adherence group may suggest that these patients have an increased illness severity, although objective scales, such as the Patient Health Questionnaire 9 (PHQ9), were not consistently conducted and therefore not included in this analysis. It is unknown whether the previous antidepressant prescriptions were of adequate duration. These patients may have also had intolerances that led to multiple different antidepressant prescriptions and self-discontinuation.

The average MRCI of study patients was 13.5 (range 2 - 53), which was significantly lower than a previous study of geriatric patients with depression reporting an average MRCI of 25.4 (range 6 - 64).¹⁴ The positive trend between MRCI and adherence seen in this study was puzzling and counterintuitive. A more complex regimen is generally thought to be associated with poor adherence. Patients with a greater number of comorbid conditions may inherently be on more medications and thus have a more complex medication regimen. Manzano-Garcia and colleagues identified a negative relationship between adherence and the number of comorbidities (OR, 1.04-1.57; P = .021) and the MRCI (OR, 1.14-1.26; P < .001) in patients with HIV.¹⁵ Further studies are needed to clarify the relationship between medication adherence and medication regimen complexity in patients with mental health disorders. A better understanding of this relationship could possibly facilitate improved individualized prescribing practices and follow-up.

Limitations

Findings from our study should be interpreted within several limitations. Generalizability and statistical power were limited due to the small sample size, a practice site limited to 1 facility, and population type. The retrospective design of the study introduces inherent bias that would be minimized had a prospective study been conducted. The primary outcome was based upon MPR, which only accounts for refills within a specified time period and does not assess for actual or accurate use of the medication. Data collection was limited to VA and US Department of Defense records.

Geographically diverse studies with larger sample sizes need to be conducted to better understand antidepressant adherence and its barriers and facilitators in the veteran population. The exclusion of patients with previous trials of the prescribed antidepressant may have led to a possible selection bias favoring inclusion of younger patients. These patients may have a more limited period for assessment and treatment when compared with older patients, and thus may have had a smaller chance of previous exposure to the prescribed antidepressant. Neither MAOIs or TCAs were included in this study. No patients taking MAOIs were identified from the Antidepressant Nonadherence Report during the study period. Three patients on TCAs were chart reviewed, but excluded from the study because of prior use of the antidepressant or a non-mental health indication. Additionally, no newer antidepressants, including vortioxetine and vilazodone, were included, likely secondary to their nonformulary status at the VA.

Conclusion

As this study’s purpose was to improve the quality of care at our facility, we will discuss our findings with local MHPs to develop strategies to improve antidepressant adherence. While larger studies need to be conducted to confirm our findings, it is worthwhile to consider risk factors for low adherence such as SUD when prescribing antidepressant medications. Patients with SUD could be encouraged to enroll in our facility’s telephone nursing depression care management program for more frequent follow up and medication adherence counseling.

This study did not find a significant difference in 3-month adherence rates between SSRIs, SNRIs, bupropion, and mirtazapine. SUD was significantly more common in patients with low adherence than those categorized as adherent and may be a risk factor for low adherence based upon our findings and those of previous studies.

Depression affects about 4.4% of the global population.¹ Major depressive disorder (MDD) is currently the fourth highest cause of disability in the world and by 2030 MDD is expected to be third.² Research has determined that 1 in 3 veterans seen in primary care shows depressive symptoms. Of these, 1 in 5 have symptoms severe enough to warrant further evaluation for MDD, and 1 in 10 require treatment.³ With this high rate of depression, optimized treatment strategies are needed, including antidepressants and psychotherapy. Antidepressants have grown in popularity since market entry in the 1950s; currently 1 in 10 US citizens aged ≥ 12 years are prescribed an antidepressant.⁴

Antidepressant Adherence

Antidepressant adherence is crucial for response and remission. Sansone and Sansone reported that, on average, < 50% of patients are adherent to their antidepressant treatment regimen 6 months after initiation (range, 5.4% - 87.6%).⁵ Fortney and colleagues found that, based on patient report, < 20% of veterans maintained at least 80% adherence at 6 months.⁶ Patients who are nonadherent are at an increased risk for relapse and recurrence and are more likely to seek care at an emergency department or to become hospitalized.² In addition to the negative impact on patient outcomes, antidepressant nonadherence may also result in increased economic burden. In the US alone, the annual cost of treating MDD exceeds $210 billion, which will continue to increase if nonadherence is not mitigated.¹

Patient-specific characteristics such as lack of knowledge about proper administration techniques, misguided beliefs, and negative attitudes towards treatment may affect adherence.⁵ In the veteran population, reasons for discontinuation also include lack of perceived benefit and adverse effects, specifically sexual difficulties.⁶ Sociodemographic and other patient characteristics also may be risk factors for nonadherence, including multiple medical comorbidities; substance use disorder (SUD) diagnosis; male gender; younger age; lack of health insurance or a higher medical cost burden; lack of or low involvement in psychotherapy; infrequent follow up visits; and high illness severity.^1,7,8

Appreciating the adherence rates among the different antidepressant classes may help in antidepressant selection. To our knowledge, there have been no prior studies conducted in the veteran population that compared adherence rates among antidepressant classes. Studies in the nonveteran population report differing adherence rates among the antidepressant classes with generally higher adherence in patients prescribed serotonin norepinephrine reuptake inhibitors (SNRIs) and selective serotonin reuptake inhibitors (SSRIs). A retrospective review of commercial, Medicare, and Medicaid claims in > 5000 patients found that SNRIs had a significantly higher 3-month adherence rate based on the portion of days covered model (47%; P < .001) than other antidepressant classes (SSRIs, 42%; other antidepressants, 37%; tricyclic antidepressants [TCAs], 24%).⁷ Monoamine oxidase inhibitors (MAOIs) prescribed to 1% of the study population had the highest adherence rate at 48%.⁷ A study reviewing > 25 000 patient claims sourced from the IBM MarketScan research database (Armonk, NY) found that SSRIs (Odds ratio [OR], 1.26; P < .001) and norepinephrine dopamine reuptake inhibitors (NDRIs) (OR, 1.23; P = .007) had the highest ORs for adherence according to the portion of days covered model, while other serotonin modulators (OR, 0.65; P = .001) and tri/tetracyclic antidepressants (OR, 0.49; P < . 001) had the lowest ORs and were associated with lower adherence.¹

VA Approaches to Adherence

To address antidepressant adherence, the US Department of Veteran Affairs (VA) adopted 2 measures from the Healthcare Effectiveness Data and Information Set: MDD43h and MDD47h. Measure MDD43h is defined as the proportion of patients with a depression diagnosis newly treated with an antidepressant medication who remained on the antidepressant medication for at least 84 out of 114 days (3 months). MDD47h is similar, but assesses patients remaining on an antidepressant medication for at least 180 out of 230 days (6 months).⁹ These constitute a SAIL (Strategic Analytics for Improvement and Learning) measure by which VA hospitals are compared. High performance on these measures aids in improving the comparative status of a VA facility.

To help improve performance on these measures, the VA Psychotropic Drug Safety Initiative developed the Antidepressant Nonadherence Report, which serves as a case finder for clinicians to identify veterans with low adherence and/or those overdue for a refill. The dashboard uses the medication possession ratio (MPR) to calculate adherence. While the optimal value is still widely debated, an MPR of ≥ 80% is generally accepted for many disease states.¹⁰ The dashboard defines low adherence as ≤ 60%.

As of September 2018, the Antidepressant Nonadherence Report for the Michael E. DeBakey VA Medical Center (MEDVAMC) in Houston, Texas, included > 5000 patients in both MEDVAMC and associated community-based outpatient clinics. About 30% of patients were categorized as overdue for a refill.

Study Objectives

To better understand the problem of antidepressant adherence within this population, we decided to study the relationship between antidepressant class and adherence rates, as well as how adherence relates to patient-specific characteristics. By highlighting predisposing risk factors to low adherence, we hope to provide better interventions.

The primary objective of this study was to determine whether 3-month adherence rates, measured by the MPR, differ between antidepressant classes in veterans newly initiated on antidepressant therapy. A secondary objective was to identify whether there are differences in patient characteristics between those with high MPR (≥ 80%) and low MPR (≤ 60%).

Methods

This study used a retrospective, cross-sectional chart review of MEDVAMC patients from the Antidepressant Nonadherence Report. Patients were: aged ≥ 18 years; newly initiated on an antidepressant with no previous use of the same medication; outpatient for the entire study period; and seen by a physician, physician assistant, nurse practitioner, or pharmacist mental health provider (MHP) within the 3-month study period. All patients’ charts showed a depression diagnosis—an inclusion criterion for the MDD43h and MDD47h measures. However, for this study, the indication(s) for the chosen antidepressant were determined by the MHP note in the patient electronic health record on the date that the medication was prescribed. Study patients may not have had a current depression diagnosis based upon the MHP assessment on the index date. We chose to determine the antidepressant indication(s) in this way because the MHP note would have the most detailed patient assessment.

Patients with previous use of the prescribed antidepressant were excluded because previous exposure may bias the patient and affect current adherence. Patients who were hospitalized at the VA for any reason during the 3-month study period were excluded because of a known risk during transitions of care for medications to be held or discontinued, which could impact refills and MPR. Some patients were excluded if they were taking the antidepressant for a nonmood-related indication (insomnia, neuropathy, migraine prophylaxis, etc). Patients also were excluded if the antidepressant was prescribed to take as-needed; if trazodone was the only antidepressant prescribed; if they were diagnosed with cognitive impairment including dementia or history of stroke; or if they were diagnosed with schizophrenia, schizoaffective disorder, or borderline personality disorder. Use of trazodone as the only antidepressant was excluded because of the relatively common practice to use it in the treatment of insomnia rather than depression.

Primary and Secondary Outcomes

Information collected for the primary outcome, including antidepressant class and MPR, was obtained from the Antidepressant Nonadherence Report. For the secondary outcome, the following data was collected for each patient: age, gender, race, housing status, Medication Regimen Complexity Index (MRCI), number and type of psychiatric diagnoses, number of previous antidepressants, psychotherapy involvement, and number of mental health visits during the 3-month study period. The MRCI is an objective, validated tool that determines relative medication regimen complexity by taking into consideration the number of medications, route and frequency of administration, splitting/multiple dosage units, and presence of any special instructions.¹¹

The primary outcome was tested using a one-way analysis of variance (ANOVA). Nominal secondary outcomes were analyzed using the Fisher’s Exact. Continuous secondary outcomes were examined using an unpaired t-test.

Results

Of 320 charts, 212 patients were excluded and 108 were included (Figure). The most common reason for exclusion was a previously prescribed antidepressant. Of the included patients 49 had an MPR ≥ 80% and 24 had an MPR ≤ 60%. The characteristics of the study population are found in Table 1 and the antidepressant frequencies and MPRs are included in Table 2.

About 87% of study patients had a diagnosis of depression. Other concomitant psychiatric diagnoses include posttraumatic stress disorder (PTSD), anxiety, insomnia, and 2 cases of intermittent explosive disorder. There were no significant differences in mean MPR between the antidepressant classes (P = .31). Within each drug class, we identified the proportion of patients with high adherence (MPR ≥ 80%). Bupropion had the greatest percentage of highly adherent patients (50%) compared with SSRIs (42.5%), SNRIs (38.5%), and mirtazapine (31.3%).

Table 3 compares the characteristics between high MPR and low MPR patients. The low MPR group showed a significantly greater proportion of patients with an SUD than the high adherence group (41.7% vs 10.2%, respectively; P = .04). The most common type of SUD was alcohol use disorder followed by cannabis use disorder. There were no other statistically significant differences identified between high and low MPR groups. There was a trend towards significance when comparing MRCI between the 2 groups (high MPR, 15.2; low MPR, 10.8; P = .06).

Discussion

In our study, there was no significant difference in 3-month adherence rates between veterans on SSRIs, SNRIs, bupropion, and mirtazapine. This result differs from a study by Keyloun and colleagues that found that SNRIs had a significantly higher adherence rate when compared with other antidepressants.⁷

SSRIs were the most commonly prescribed antidepressant in our study, and also had the greatest mean 3-month MPR. The high use of SSRIs may be due to the greater number of SSRI choices to select from compared with other classes. SSRIs may also have been selected more frequently because nearly half (45.4%) of the patients had comorbid PTSD, for which 3 of the 4 first-line treatment options are SSRIs (sertraline, paroxetine, fluoxetine).

As previously stated, Keyloun and colleagues previously found that SNRIs had the highest 3-month adherence rate in a study of > 5000 patients.⁷ In our study, SNRIs had the second highest mean 3-month MPR at about 75%, but the difference was not considered significant when compared with other antidepressant classes.

Bupropion was prescribed least frequently, but had the largest proportion of adherent patients. Gaspar and colleagues demonstrated similar outcomes, reporting that patients prescribed bupropion had a high OR for adherence.¹ Bupropion may have had relatively low prescribing rates in our study because 64% of patients were diagnosed with a comorbid anxiety disorder and/or PTSD. For these patients, bupropion avoidance may have been intentional so as to not exacerbate anxiety.

Mirtazapine had both the lowest mean MPR and the lowest proportion of adherent patients. While no significant difference between antidepressant 3-month adherence rates were found, this study’s findings were similar to previous studies that found lower adherence to mirtazapine.^1,5 Adverse effects such as sedation, increased appetite, and weight gain may have contributed to low adherence with mirtazapine.⁴ Patients may also have been using the agent on an as needed basis to treat insomnia despite the order being written for daily use.

Substance Use Disorder Influence

A significantly greater proportion of patients had an SUD in the low MPR group, suggesting that an SUD diagnosis may be a risk factor for low adherence. This finding is consistent with previous studies that also found that an SUD was associated with poor medication adherence.¹ Patients with depression and an SUD have been shown to have suboptimal outcomes compared to those without an SUD, including a lower response to antidepressant therapy and increased illness severity.^11,12

In a study of 131 outpatients with dual diagnosis (26% with depression) predictors for low self-reported adherence were a medication-related variable (increased adverse effects), a cognitive variable (low self-efficacy for drug avoidance), and a social factor (low social support for recovery). This variety of predictors seems to indicate that simple memory aids may not improve adherence. “Dual focus” mutual aid groups that provide social support for patients with dual diagnosis have been shown to improve adherence.¹³

The MEDVAMC Substance Dependence Treatment Program (SDTP) is an outpatient program that uses group education to aid veterans, often those with comorbid psychiatric disorders, to build relapse prevention skills and provide social support. Further exploration into the relationship between involvement in SDTP groups and antidepressant adherence in patients with dual diagnosis may be warranted.

Secondary Outcomes

Trends identified in the secondary outcome were similar to outcomes of previous studies: younger age, lower therapy involvement, and more comorbid psychiatric diagnoses were associated with lower adherence.^1,7,8 The presence of increased previous use of antidepressants in the low adherence group may suggest that these patients have an increased illness severity, although objective scales, such as the Patient Health Questionnaire 9 (PHQ9), were not consistently conducted and therefore not included in this analysis. It is unknown whether the previous antidepressant prescriptions were of adequate duration. These patients may have also had intolerances that led to multiple different antidepressant prescriptions and self-discontinuation.

The average MRCI of study patients was 13.5 (range 2 - 53), which was significantly lower than a previous study of geriatric patients with depression reporting an average MRCI of 25.4 (range 6 - 64).¹⁴ The positive trend between MRCI and adherence seen in this study was puzzling and counterintuitive. A more complex regimen is generally thought to be associated with poor adherence. Patients with a greater number of comorbid conditions may inherently be on more medications and thus have a more complex medication regimen. Manzano-Garcia and colleagues identified a negative relationship between adherence and the number of comorbidities (OR, 1.04-1.57; P = .021) and the MRCI (OR, 1.14-1.26; P < .001) in patients with HIV.¹⁵ Further studies are needed to clarify the relationship between medication adherence and medication regimen complexity in patients with mental health disorders. A better understanding of this relationship could possibly facilitate improved individualized prescribing practices and follow-up.

Limitations

Findings from our study should be interpreted within several limitations. Generalizability and statistical power were limited due to the small sample size, a practice site limited to 1 facility, and population type. The retrospective design of the study introduces inherent bias that would be minimized had a prospective study been conducted. The primary outcome was based upon MPR, which only accounts for refills within a specified time period and does not assess for actual or accurate use of the medication. Data collection was limited to VA and US Department of Defense records.

Geographically diverse studies with larger sample sizes need to be conducted to better understand antidepressant adherence and its barriers and facilitators in the veteran population. The exclusion of patients with previous trials of the prescribed antidepressant may have led to a possible selection bias favoring inclusion of younger patients. These patients may have a more limited period for assessment and treatment when compared with older patients, and thus may have had a smaller chance of previous exposure to the prescribed antidepressant. Neither MAOIs or TCAs were included in this study. No patients taking MAOIs were identified from the Antidepressant Nonadherence Report during the study period. Three patients on TCAs were chart reviewed, but excluded from the study because of prior use of the antidepressant or a non-mental health indication. Additionally, no newer antidepressants, including vortioxetine and vilazodone, were included, likely secondary to their nonformulary status at the VA.

Conclusion

As this study’s purpose was to improve the quality of care at our facility, we will discuss our findings with local MHPs to develop strategies to improve antidepressant adherence. While larger studies need to be conducted to confirm our findings, it is worthwhile to consider risk factors for low adherence such as SUD when prescribing antidepressant medications. Patients with SUD could be encouraged to enroll in our facility’s telephone nursing depression care management program for more frequent follow up and medication adherence counseling.

This study did not find a significant difference in 3-month adherence rates between SSRIs, SNRIs, bupropion, and mirtazapine. SUD was significantly more common in patients with low adherence than those categorized as adherent and may be a risk factor for low adherence based upon our findings and those of previous studies.

Depression affects about 4.4% of the global population.¹ Major depressive disorder (MDD) is currently the fourth highest cause of disability in the world and by 2030 MDD is expected to be third.² Research has determined that 1 in 3 veterans seen in primary care shows depressive symptoms. Of these, 1 in 5 have symptoms severe enough to warrant further evaluation for MDD, and 1 in 10 require treatment.³ With this high rate of depression, optimized treatment strategies are needed, including antidepressants and psychotherapy. Antidepressants have grown in popularity since market entry in the 1950s; currently 1 in 10 US citizens aged ≥ 12 years are prescribed an antidepressant.⁴

Antidepressant Adherence

Antidepressant adherence is crucial for response and remission. Sansone and Sansone reported that, on average, < 50% of patients are adherent to their antidepressant treatment regimen 6 months after initiation (range, 5.4% - 87.6%).⁵ Fortney and colleagues found that, based on patient report, < 20% of veterans maintained at least 80% adherence at 6 months.⁶ Patients who are nonadherent are at an increased risk for relapse and recurrence and are more likely to seek care at an emergency department or to become hospitalized.² In addition to the negative impact on patient outcomes, antidepressant nonadherence may also result in increased economic burden. In the US alone, the annual cost of treating MDD exceeds $210 billion, which will continue to increase if nonadherence is not mitigated.¹

Patient-specific characteristics such as lack of knowledge about proper administration techniques, misguided beliefs, and negative attitudes towards treatment may affect adherence.⁵ In the veteran population, reasons for discontinuation also include lack of perceived benefit and adverse effects, specifically sexual difficulties.⁶ Sociodemographic and other patient characteristics also may be risk factors for nonadherence, including multiple medical comorbidities; substance use disorder (SUD) diagnosis; male gender; younger age; lack of health insurance or a higher medical cost burden; lack of or low involvement in psychotherapy; infrequent follow up visits; and high illness severity.^1,7,8

Appreciating the adherence rates among the different antidepressant classes may help in antidepressant selection. To our knowledge, there have been no prior studies conducted in the veteran population that compared adherence rates among antidepressant classes. Studies in the nonveteran population report differing adherence rates among the antidepressant classes with generally higher adherence in patients prescribed serotonin norepinephrine reuptake inhibitors (SNRIs) and selective serotonin reuptake inhibitors (SSRIs). A retrospective review of commercial, Medicare, and Medicaid claims in > 5000 patients found that SNRIs had a significantly higher 3-month adherence rate based on the portion of days covered model (47%; P < .001) than other antidepressant classes (SSRIs, 42%; other antidepressants, 37%; tricyclic antidepressants [TCAs], 24%).⁷ Monoamine oxidase inhibitors (MAOIs) prescribed to 1% of the study population had the highest adherence rate at 48%.⁷ A study reviewing > 25 000 patient claims sourced from the IBM MarketScan research database (Armonk, NY) found that SSRIs (Odds ratio [OR], 1.26; P < .001) and norepinephrine dopamine reuptake inhibitors (NDRIs) (OR, 1.23; P = .007) had the highest ORs for adherence according to the portion of days covered model, while other serotonin modulators (OR, 0.65; P = .001) and tri/tetracyclic antidepressants (OR, 0.49; P < . 001) had the lowest ORs and were associated with lower adherence.¹

VA Approaches to Adherence

To address antidepressant adherence, the US Department of Veteran Affairs (VA) adopted 2 measures from the Healthcare Effectiveness Data and Information Set: MDD43h and MDD47h. Measure MDD43h is defined as the proportion of patients with a depression diagnosis newly treated with an antidepressant medication who remained on the antidepressant medication for at least 84 out of 114 days (3 months). MDD47h is similar, but assesses patients remaining on an antidepressant medication for at least 180 out of 230 days (6 months).⁹ These constitute a SAIL (Strategic Analytics for Improvement and Learning) measure by which VA hospitals are compared. High performance on these measures aids in improving the comparative status of a VA facility.

To help improve performance on these measures, the VA Psychotropic Drug Safety Initiative developed the Antidepressant Nonadherence Report, which serves as a case finder for clinicians to identify veterans with low adherence and/or those overdue for a refill. The dashboard uses the medication possession ratio (MPR) to calculate adherence. While the optimal value is still widely debated, an MPR of ≥ 80% is generally accepted for many disease states.¹⁰ The dashboard defines low adherence as ≤ 60%.

As of September 2018, the Antidepressant Nonadherence Report for the Michael E. DeBakey VA Medical Center (MEDVAMC) in Houston, Texas, included > 5000 patients in both MEDVAMC and associated community-based outpatient clinics. About 30% of patients were categorized as overdue for a refill.

Study Objectives

To better understand the problem of antidepressant adherence within this population, we decided to study the relationship between antidepressant class and adherence rates, as well as how adherence relates to patient-specific characteristics. By highlighting predisposing risk factors to low adherence, we hope to provide better interventions.

The primary objective of this study was to determine whether 3-month adherence rates, measured by the MPR, differ between antidepressant classes in veterans newly initiated on antidepressant therapy. A secondary objective was to identify whether there are differences in patient characteristics between those with high MPR (≥ 80%) and low MPR (≤ 60%).

Methods

This study used a retrospective, cross-sectional chart review of MEDVAMC patients from the Antidepressant Nonadherence Report. Patients were: aged ≥ 18 years; newly initiated on an antidepressant with no previous use of the same medication; outpatient for the entire study period; and seen by a physician, physician assistant, nurse practitioner, or pharmacist mental health provider (MHP) within the 3-month study period. All patients’ charts showed a depression diagnosis—an inclusion criterion for the MDD43h and MDD47h measures. However, for this study, the indication(s) for the chosen antidepressant were determined by the MHP note in the patient electronic health record on the date that the medication was prescribed. Study patients may not have had a current depression diagnosis based upon the MHP assessment on the index date. We chose to determine the antidepressant indication(s) in this way because the MHP note would have the most detailed patient assessment.

Patients with previous use of the prescribed antidepressant were excluded because previous exposure may bias the patient and affect current adherence. Patients who were hospitalized at the VA for any reason during the 3-month study period were excluded because of a known risk during transitions of care for medications to be held or discontinued, which could impact refills and MPR. Some patients were excluded if they were taking the antidepressant for a nonmood-related indication (insomnia, neuropathy, migraine prophylaxis, etc). Patients also were excluded if the antidepressant was prescribed to take as-needed; if trazodone was the only antidepressant prescribed; if they were diagnosed with cognitive impairment including dementia or history of stroke; or if they were diagnosed with schizophrenia, schizoaffective disorder, or borderline personality disorder. Use of trazodone as the only antidepressant was excluded because of the relatively common practice to use it in the treatment of insomnia rather than depression.

Primary and Secondary Outcomes

Information collected for the primary outcome, including antidepressant class and MPR, was obtained from the Antidepressant Nonadherence Report. For the secondary outcome, the following data was collected for each patient: age, gender, race, housing status, Medication Regimen Complexity Index (MRCI), number and type of psychiatric diagnoses, number of previous antidepressants, psychotherapy involvement, and number of mental health visits during the 3-month study period. The MRCI is an objective, validated tool that determines relative medication regimen complexity by taking into consideration the number of medications, route and frequency of administration, splitting/multiple dosage units, and presence of any special instructions.¹¹

The primary outcome was tested using a one-way analysis of variance (ANOVA). Nominal secondary outcomes were analyzed using the Fisher’s Exact. Continuous secondary outcomes were examined using an unpaired t-test.

Results

Of 320 charts, 212 patients were excluded and 108 were included (Figure). The most common reason for exclusion was a previously prescribed antidepressant. Of the included patients 49 had an MPR ≥ 80% and 24 had an MPR ≤ 60%. The characteristics of the study population are found in Table 1 and the antidepressant frequencies and MPRs are included in Table 2.

About 87% of study patients had a diagnosis of depression. Other concomitant psychiatric diagnoses include posttraumatic stress disorder (PTSD), anxiety, insomnia, and 2 cases of intermittent explosive disorder. There were no significant differences in mean MPR between the antidepressant classes (P = .31). Within each drug class, we identified the proportion of patients with high adherence (MPR ≥ 80%). Bupropion had the greatest percentage of highly adherent patients (50%) compared with SSRIs (42.5%), SNRIs (38.5%), and mirtazapine (31.3%).

Table 3 compares the characteristics between high MPR and low MPR patients. The low MPR group showed a significantly greater proportion of patients with an SUD than the high adherence group (41.7% vs 10.2%, respectively; P = .04). The most common type of SUD was alcohol use disorder followed by cannabis use disorder. There were no other statistically significant differences identified between high and low MPR groups. There was a trend towards significance when comparing MRCI between the 2 groups (high MPR, 15.2; low MPR, 10.8; P = .06).

Discussion

In our study, there was no significant difference in 3-month adherence rates between veterans on SSRIs, SNRIs, bupropion, and mirtazapine. This result differs from a study by Keyloun and colleagues that found that SNRIs had a significantly higher adherence rate when compared with other antidepressants.⁷

SSRIs were the most commonly prescribed antidepressant in our study, and also had the greatest mean 3-month MPR. The high use of SSRIs may be due to the greater number of SSRI choices to select from compared with other classes. SSRIs may also have been selected more frequently because nearly half (45.4%) of the patients had comorbid PTSD, for which 3 of the 4 first-line treatment options are SSRIs (sertraline, paroxetine, fluoxetine).

As previously stated, Keyloun and colleagues previously found that SNRIs had the highest 3-month adherence rate in a study of > 5000 patients.⁷ In our study, SNRIs had the second highest mean 3-month MPR at about 75%, but the difference was not considered significant when compared with other antidepressant classes.

Bupropion was prescribed least frequently, but had the largest proportion of adherent patients. Gaspar and colleagues demonstrated similar outcomes, reporting that patients prescribed bupropion had a high OR for adherence.¹ Bupropion may have had relatively low prescribing rates in our study because 64% of patients were diagnosed with a comorbid anxiety disorder and/or PTSD. For these patients, bupropion avoidance may have been intentional so as to not exacerbate anxiety.

Mirtazapine had both the lowest mean MPR and the lowest proportion of adherent patients. While no significant difference between antidepressant 3-month adherence rates were found, this study’s findings were similar to previous studies that found lower adherence to mirtazapine.^1,5 Adverse effects such as sedation, increased appetite, and weight gain may have contributed to low adherence with mirtazapine.⁴ Patients may also have been using the agent on an as needed basis to treat insomnia despite the order being written for daily use.

Substance Use Disorder Influence

A significantly greater proportion of patients had an SUD in the low MPR group, suggesting that an SUD diagnosis may be a risk factor for low adherence. This finding is consistent with previous studies that also found that an SUD was associated with poor medication adherence.¹ Patients with depression and an SUD have been shown to have suboptimal outcomes compared to those without an SUD, including a lower response to antidepressant therapy and increased illness severity.^11,12

In a study of 131 outpatients with dual diagnosis (26% with depression) predictors for low self-reported adherence were a medication-related variable (increased adverse effects), a cognitive variable (low self-efficacy for drug avoidance), and a social factor (low social support for recovery). This variety of predictors seems to indicate that simple memory aids may not improve adherence. “Dual focus” mutual aid groups that provide social support for patients with dual diagnosis have been shown to improve adherence.¹³

The MEDVAMC Substance Dependence Treatment Program (SDTP) is an outpatient program that uses group education to aid veterans, often those with comorbid psychiatric disorders, to build relapse prevention skills and provide social support. Further exploration into the relationship between involvement in SDTP groups and antidepressant adherence in patients with dual diagnosis may be warranted.

Secondary Outcomes

Trends identified in the secondary outcome were similar to outcomes of previous studies: younger age, lower therapy involvement, and more comorbid psychiatric diagnoses were associated with lower adherence.^1,7,8 The presence of increased previous use of antidepressants in the low adherence group may suggest that these patients have an increased illness severity, although objective scales, such as the Patient Health Questionnaire 9 (PHQ9), were not consistently conducted and therefore not included in this analysis. It is unknown whether the previous antidepressant prescriptions were of adequate duration. These patients may have also had intolerances that led to multiple different antidepressant prescriptions and self-discontinuation.

The average MRCI of study patients was 13.5 (range 2 - 53), which was significantly lower than a previous study of geriatric patients with depression reporting an average MRCI of 25.4 (range 6 - 64).¹⁴ The positive trend between MRCI and adherence seen in this study was puzzling and counterintuitive. A more complex regimen is generally thought to be associated with poor adherence. Patients with a greater number of comorbid conditions may inherently be on more medications and thus have a more complex medication regimen. Manzano-Garcia and colleagues identified a negative relationship between adherence and the number of comorbidities (OR, 1.04-1.57; P = .021) and the MRCI (OR, 1.14-1.26; P < .001) in patients with HIV.¹⁵ Further studies are needed to clarify the relationship between medication adherence and medication regimen complexity in patients with mental health disorders. A better understanding of this relationship could possibly facilitate improved individualized prescribing practices and follow-up.

Limitations

Findings from our study should be interpreted within several limitations. Generalizability and statistical power were limited due to the small sample size, a practice site limited to 1 facility, and population type. The retrospective design of the study introduces inherent bias that would be minimized had a prospective study been conducted. The primary outcome was based upon MPR, which only accounts for refills within a specified time period and does not assess for actual or accurate use of the medication. Data collection was limited to VA and US Department of Defense records.

Geographically diverse studies with larger sample sizes need to be conducted to better understand antidepressant adherence and its barriers and facilitators in the veteran population. The exclusion of patients with previous trials of the prescribed antidepressant may have led to a possible selection bias favoring inclusion of younger patients. These patients may have a more limited period for assessment and treatment when compared with older patients, and thus may have had a smaller chance of previous exposure to the prescribed antidepressant. Neither MAOIs or TCAs were included in this study. No patients taking MAOIs were identified from the Antidepressant Nonadherence Report during the study period. Three patients on TCAs were chart reviewed, but excluded from the study because of prior use of the antidepressant or a non-mental health indication. Additionally, no newer antidepressants, including vortioxetine and vilazodone, were included, likely secondary to their nonformulary status at the VA.

Conclusion

As this study’s purpose was to improve the quality of care at our facility, we will discuss our findings with local MHPs to develop strategies to improve antidepressant adherence. While larger studies need to be conducted to confirm our findings, it is worthwhile to consider risk factors for low adherence such as SUD when prescribing antidepressant medications. Patients with SUD could be encouraged to enroll in our facility’s telephone nursing depression care management program for more frequent follow up and medication adherence counseling.

This study did not find a significant difference in 3-month adherence rates between SSRIs, SNRIs, bupropion, and mirtazapine. SUD was significantly more common in patients with low adherence than those categorized as adherent and may be a risk factor for low adherence based upon our findings and those of previous studies.

Machine-based learning of genetic and epigenetic characteristics of patients with rheumatoid arthritis could help to predict who is likely to benefit from the biologic drugs adalimumab and etanercept, according to results from a longitudinal, observational cohort study.

In the study, machine learning models created by researchers from Utrecht University in the Netherlands using different parameters predicted true-positive rates for response to adalimumab ranging from 76% to 90% and true-negative rates ranging from 70% to 89%, while for etanercept true-positive rates ranged from about 60% to 80% and true-negative rates ranged from about 82% to 98%.

“These results suggest that we can accurately predict the clinical response before adalimumab and etanercept treatment using molecular signatures-based machine learning models, although the prediction accuracy of these molecular signatures differs between cell types and treatments, underlining the need to study more than one drug, cell type, or epigenetic layers,” first author Weiyang Tao and colleagues wrote in Arthritis & Rheumatology. The ability to predict which tumor necrosis factor inhibitor (TNFi) is the first choice for treatment would be highly beneficial in reducing the time to effective treatment, which has been extensively proven to be a paramount factor for achieving long-sustained disease remission, they noted.

The researchers analyzed gene expression and epigenetic signatures in 80 patients with rheumatoid arthritis prior to treatment with adalimumab or etanercept and then examined patients’ response to treatment at 6 months. They then used that information to build a machine learning model to try to predict treatment response.

Overall, 47.5% of patients were treated with adalimumab, and 52.5% were treated with etanercept. Among the adalimumab group, 53% had a good or moderate response to treatment at 6 months, and among those treated with etanercept, 45% had a good or moderate response.

While there were no differences in baseline clinical parameters between responders and nonresponders, the study found significant genetic and epigenetic differences between patients.

They identified 549 genes that showed significantly different levels of expression between responders and nonresponders treated with adalimumab – in particular, genes involved in DNA and nucleotide binding – and 460 genes that were differentially expressed between etanercept responders and nonresponders, including genes involved in TNF-receptor signaling. However, only 2% of these differentially expressed genes were common in both the adalimumab and etanercept groups, suggesting treatment responses for these two medications have distinct gene signatures.

Looking at DNA methylation, researchers found 16,141 CpG positions – sites of DNA methylation – that were differentially methylated between adalimumab responders and nonresponders, 46% of which were hypermethylated among responders but not nonresponders. In the etanercept group, there were 17,026 differentially methylated sites in responders and nonresponders, 76.3% of which were hypermethylated among responders.

The researchers also noted that among the adalimumab responders, the hypermethylated sites were more likely to be found in the upstream and promoter regions of genes, and on CpG islands.

“Thus, on epigenetic level, we observed a distinct hypermethylation pattern between adalimumab and etanercept responders, suggesting the role of epigenetics in defining response towards adalimumab and to etanercept in PBMCs [peripheral blood mononuclear cells],” the authors wrote.

Given the differences in gene signatures seen in the adalimumab responders and etanercept responders, researchers speculated that different cell types might be involved in the responses to these two treatments. They undertook RNA sequencing on the variety of immune cell types known to be involved in rheumatoid arthritis, which revealed gene-expression differences between adalimumab responders and nonresponders in their CD4+ T cells but not in monocytes. However, the gene-expression differences between etanercept responders and nonresponders were seen in both CD4+ T cells and monocytes.

The study was supported by AbbVie, which manufactures adalimumab, and two authors were supported by the China Scholarship Council and the Netherlands Organization for Scientific Research. No conflicts of interest were declared.

SOURCE: Tao W et al. Arthritis Rheumatol. 2020 Sep 10. doi: 10.1002/art.41516.

Machine-based learning of genetic and epigenetic characteristics of patients with rheumatoid arthritis could help to predict who is likely to benefit from the biologic drugs adalimumab and etanercept, according to results from a longitudinal, observational cohort study.

In the study, machine learning models created by researchers from Utrecht University in the Netherlands using different parameters predicted true-positive rates for response to adalimumab ranging from 76% to 90% and true-negative rates ranging from 70% to 89%, while for etanercept true-positive rates ranged from about 60% to 80% and true-negative rates ranged from about 82% to 98%.

“These results suggest that we can accurately predict the clinical response before adalimumab and etanercept treatment using molecular signatures-based machine learning models, although the prediction accuracy of these molecular signatures differs between cell types and treatments, underlining the need to study more than one drug, cell type, or epigenetic layers,” first author Weiyang Tao and colleagues wrote in Arthritis & Rheumatology. The ability to predict which tumor necrosis factor inhibitor (TNFi) is the first choice for treatment would be highly beneficial in reducing the time to effective treatment, which has been extensively proven to be a paramount factor for achieving long-sustained disease remission, they noted.

The researchers analyzed gene expression and epigenetic signatures in 80 patients with rheumatoid arthritis prior to treatment with adalimumab or etanercept and then examined patients’ response to treatment at 6 months. They then used that information to build a machine learning model to try to predict treatment response.

Overall, 47.5% of patients were treated with adalimumab, and 52.5% were treated with etanercept. Among the adalimumab group, 53% had a good or moderate response to treatment at 6 months, and among those treated with etanercept, 45% had a good or moderate response.

While there were no differences in baseline clinical parameters between responders and nonresponders, the study found significant genetic and epigenetic differences between patients.

They identified 549 genes that showed significantly different levels of expression between responders and nonresponders treated with adalimumab – in particular, genes involved in DNA and nucleotide binding – and 460 genes that were differentially expressed between etanercept responders and nonresponders, including genes involved in TNF-receptor signaling. However, only 2% of these differentially expressed genes were common in both the adalimumab and etanercept groups, suggesting treatment responses for these two medications have distinct gene signatures.

Looking at DNA methylation, researchers found 16,141 CpG positions – sites of DNA methylation – that were differentially methylated between adalimumab responders and nonresponders, 46% of which were hypermethylated among responders but not nonresponders. In the etanercept group, there were 17,026 differentially methylated sites in responders and nonresponders, 76.3% of which were hypermethylated among responders.

The researchers also noted that among the adalimumab responders, the hypermethylated sites were more likely to be found in the upstream and promoter regions of genes, and on CpG islands.

“Thus, on epigenetic level, we observed a distinct hypermethylation pattern between adalimumab and etanercept responders, suggesting the role of epigenetics in defining response towards adalimumab and to etanercept in PBMCs [peripheral blood mononuclear cells],” the authors wrote.

Given the differences in gene signatures seen in the adalimumab responders and etanercept responders, researchers speculated that different cell types might be involved in the responses to these two treatments. They undertook RNA sequencing on the variety of immune cell types known to be involved in rheumatoid arthritis, which revealed gene-expression differences between adalimumab responders and nonresponders in their CD4+ T cells but not in monocytes. However, the gene-expression differences between etanercept responders and nonresponders were seen in both CD4+ T cells and monocytes.

The study was supported by AbbVie, which manufactures adalimumab, and two authors were supported by the China Scholarship Council and the Netherlands Organization for Scientific Research. No conflicts of interest were declared.

SOURCE: Tao W et al. Arthritis Rheumatol. 2020 Sep 10. doi: 10.1002/art.41516.

Machine-based learning of genetic and epigenetic characteristics of patients with rheumatoid arthritis could help to predict who is likely to benefit from the biologic drugs adalimumab and etanercept, according to results from a longitudinal, observational cohort study.

In the study, machine learning models created by researchers from Utrecht University in the Netherlands using different parameters predicted true-positive rates for response to adalimumab ranging from 76% to 90% and true-negative rates ranging from 70% to 89%, while for etanercept true-positive rates ranged from about 60% to 80% and true-negative rates ranged from about 82% to 98%.

“These results suggest that we can accurately predict the clinical response before adalimumab and etanercept treatment using molecular signatures-based machine learning models, although the prediction accuracy of these molecular signatures differs between cell types and treatments, underlining the need to study more than one drug, cell type, or epigenetic layers,” first author Weiyang Tao and colleagues wrote in Arthritis & Rheumatology. The ability to predict which tumor necrosis factor inhibitor (TNFi) is the first choice for treatment would be highly beneficial in reducing the time to effective treatment, which has been extensively proven to be a paramount factor for achieving long-sustained disease remission, they noted.

The researchers analyzed gene expression and epigenetic signatures in 80 patients with rheumatoid arthritis prior to treatment with adalimumab or etanercept and then examined patients’ response to treatment at 6 months. They then used that information to build a machine learning model to try to predict treatment response.

Overall, 47.5% of patients were treated with adalimumab, and 52.5% were treated with etanercept. Among the adalimumab group, 53% had a good or moderate response to treatment at 6 months, and among those treated with etanercept, 45% had a good or moderate response.

While there were no differences in baseline clinical parameters between responders and nonresponders, the study found significant genetic and epigenetic differences between patients.

They identified 549 genes that showed significantly different levels of expression between responders and nonresponders treated with adalimumab – in particular, genes involved in DNA and nucleotide binding – and 460 genes that were differentially expressed between etanercept responders and nonresponders, including genes involved in TNF-receptor signaling. However, only 2% of these differentially expressed genes were common in both the adalimumab and etanercept groups, suggesting treatment responses for these two medications have distinct gene signatures.

Looking at DNA methylation, researchers found 16,141 CpG positions – sites of DNA methylation – that were differentially methylated between adalimumab responders and nonresponders, 46% of which were hypermethylated among responders but not nonresponders. In the etanercept group, there were 17,026 differentially methylated sites in responders and nonresponders, 76.3% of which were hypermethylated among responders.

The researchers also noted that among the adalimumab responders, the hypermethylated sites were more likely to be found in the upstream and promoter regions of genes, and on CpG islands.

“Thus, on epigenetic level, we observed a distinct hypermethylation pattern between adalimumab and etanercept responders, suggesting the role of epigenetics in defining response towards adalimumab and to etanercept in PBMCs [peripheral blood mononuclear cells],” the authors wrote.

Given the differences in gene signatures seen in the adalimumab responders and etanercept responders, researchers speculated that different cell types might be involved in the responses to these two treatments. They undertook RNA sequencing on the variety of immune cell types known to be involved in rheumatoid arthritis, which revealed gene-expression differences between adalimumab responders and nonresponders in their CD4+ T cells but not in monocytes. However, the gene-expression differences between etanercept responders and nonresponders were seen in both CD4+ T cells and monocytes.

The study was supported by AbbVie, which manufactures adalimumab, and two authors were supported by the China Scholarship Council and the Netherlands Organization for Scientific Research. No conflicts of interest were declared.

SOURCE: Tao W et al. Arthritis Rheumatol. 2020 Sep 10. doi: 10.1002/art.41516.

Requests for self-managed abortion via a telemedicine service increased by 27% from March 20, 2020, to April 11, 2020, in the United States in the wake of widespread lockdowns and shelter-in-place directives because of the COVID-19 pandemic, based on data from a provider of such services.

nortonrsx/Getty Images

Access to abortion care is challenging in many areas under ordinary circumstances, but the disruption of the COVID-19 pandemic led to many states suspending or limiting in-clinic services, wrote Abigail R.A. Aiken, MD, PhD, of the University of Texas at Austin and colleagues.

“As a result, people may increasingly be seeking self-managed abortion outside the formal health care system,” they said.

In a research letter published in Obstetrics & Gynecology, the investigators reviewed request data from Aid Access, a telemedicine service that provides medication for abortion at up to 10 weeks’ gestation for users who complete an online consultation form. They also collected data on the implementation and scope of COVID-19–related abortion restrictions by state.

The analysis included all 49,935 requests made between January 1, 2019, and April 11, 2020.

Overall, the rate of requests for self-managed medical abortions increased significantly, by 27%, during the period from March 20, 2020, to April 11, 2020, which reflected the average period after clinic restrictions or closures at the state level. A total of 11 states showed individually significant increases in requests for self-managed medical abortions, with the highest of 94% in Texas and the lowest of 22% in Ohio. In these 11 states, the median time spent at home was 5% higher than in states without significant increases in requests for self-managed medical abortions during the same period. These states also had “particularly high COVID-19 rates or more severe COVID-19–related restrictions on in-clinic abortion access,” the researchers noted.

Patients want alternatives to in-person care

“Our results may reflect two distinct phenomena,” Dr. Aiken and associates wrote. “First, more people may be seeking abortion through all channels, whether due to COVID-19 risks during pregnancy, reduced access to prenatal care, or the pandemic-related economic downturn. Second, there may be shift in demand from in-clinic to self-managed abortion during the pandemic, possibly owing to fear of infection during in-person care or inability to get to a clinic because of childcare and transit disruptions,” they explained.

The study findings were limited by the inability to measure all options for women to achieve self-managed abortions and a lack of power to detect changes in states with low request numbers or where restrictions were implemented at later dates, the researchers noted. However, the results suggest that telemedicine services for medication abortion should be a policy priority because patients may continue to seek alternatives while in-clinic services remain restricted, they said.

In fact, “the World Health Organization recommends telemedicine and self-management abortion-care models during the pandemic, and the United Kingdom has temporarily implemented fully remote provision of abortion medications,” the researchers wrote. However, similar strategies in the United States “would depend on sustained changes to the U.S. Food and Drug Administration’s Risk Evaluation and Mitigation Strategy, which requires patients to collect mifepristone at a hospital or medical facility, as well as changes to state-specific laws that prohibit remote provider consultation,” Dr. Aiken and associates concluded.

Lift barriers to protect patients

“This important and timely article assesses the association between the disruptions of the coronavirus pandemic and online requests for telemedicine abortion,” Eve Espey, MD, of the University of New Mexico, Albuquerque, said in an interview.

“As background, state abortion restrictions have increased exponentially over the last decade, while research over the same time period has demonstrated the safety of telemedicine abortion – a form of self-managed abortion – with no in-person visit for appropriate candidates,” she said.

“Enter the coronavirus pandemic with safety concerns related to in-person medical visits and certain states leveraging the opportunity to enact even more stringent abortion restrictions. Unsurprisingly, the result, as documented in this excellent research report, is a significant increase in requests for telemedicine abortion in many states, particularly the most restrictive, from the single online service in the United States, Aid Access,” said Dr. Espey.

“Barriers to self-managed abortion include the [FDA] Risk Evaluation and Mitigation Strategy for mifepristone, a set of unnecessary restrictions requiring that providers meet certain qualifications and dispense the medication only in a clinic, office, or hospital,” she said. “The REMS precludes the use of telemedicine abortion; Aid Access and the FDA are in legal proceedings,” she noted.

“Most recently, the [American Civil Liberties Union] sued the FDA on behalf of a coalition of medical experts led by [American College of Obstetricians and Gynecologists] to suspend the REMS for mifepristone during the COVID public health emergency, to allow patients to receive the medications for early abortion without a visit to a health care provider,” Dr. Espey said. “Fortunately, a federal district court required the temporary suspension of the in-person dispensing restriction. Although this is a great step to improve abortion access during the pandemic, a permanent removal of the REMS would pave the way for ongoing safe, effective, and patient-centered early abortion care,” noted Dr. Espey, who was asked to comment on the research letter.

Dr. Aiken disclosed serving as a consultant for Agile Therapeutics, and a coauthor is the founder and director of Aid Access. Dr. Espey had no financial conflicts to disclose. She is a member of the Ob.Gyn. News Editorial Advisory Board.

SOURCE: Aiken ARA et al. Obstet Gynecol. 2020 Jul 21. doi: 10.1097/AOG.0000000000004081.

Requests for self-managed abortion via a telemedicine service increased by 27% from March 20, 2020, to April 11, 2020, in the United States in the wake of widespread lockdowns and shelter-in-place directives because of the COVID-19 pandemic, based on data from a provider of such services.

nortonrsx/Getty Images

Access to abortion care is challenging in many areas under ordinary circumstances, but the disruption of the COVID-19 pandemic led to many states suspending or limiting in-clinic services, wrote Abigail R.A. Aiken, MD, PhD, of the University of Texas at Austin and colleagues.

“As a result, people may increasingly be seeking self-managed abortion outside the formal health care system,” they said.

In a research letter published in Obstetrics & Gynecology, the investigators reviewed request data from Aid Access, a telemedicine service that provides medication for abortion at up to 10 weeks’ gestation for users who complete an online consultation form. They also collected data on the implementation and scope of COVID-19–related abortion restrictions by state.

The analysis included all 49,935 requests made between January 1, 2019, and April 11, 2020.

Overall, the rate of requests for self-managed medical abortions increased significantly, by 27%, during the period from March 20, 2020, to April 11, 2020, which reflected the average period after clinic restrictions or closures at the state level. A total of 11 states showed individually significant increases in requests for self-managed medical abortions, with the highest of 94% in Texas and the lowest of 22% in Ohio. In these 11 states, the median time spent at home was 5% higher than in states without significant increases in requests for self-managed medical abortions during the same period. These states also had “particularly high COVID-19 rates or more severe COVID-19–related restrictions on in-clinic abortion access,” the researchers noted.

Patients want alternatives to in-person care

“Our results may reflect two distinct phenomena,” Dr. Aiken and associates wrote. “First, more people may be seeking abortion through all channels, whether due to COVID-19 risks during pregnancy, reduced access to prenatal care, or the pandemic-related economic downturn. Second, there may be shift in demand from in-clinic to self-managed abortion during the pandemic, possibly owing to fear of infection during in-person care or inability to get to a clinic because of childcare and transit disruptions,” they explained.

The study findings were limited by the inability to measure all options for women to achieve self-managed abortions and a lack of power to detect changes in states with low request numbers or where restrictions were implemented at later dates, the researchers noted. However, the results suggest that telemedicine services for medication abortion should be a policy priority because patients may continue to seek alternatives while in-clinic services remain restricted, they said.

In fact, “the World Health Organization recommends telemedicine and self-management abortion-care models during the pandemic, and the United Kingdom has temporarily implemented fully remote provision of abortion medications,” the researchers wrote. However, similar strategies in the United States “would depend on sustained changes to the U.S. Food and Drug Administration’s Risk Evaluation and Mitigation Strategy, which requires patients to collect mifepristone at a hospital or medical facility, as well as changes to state-specific laws that prohibit remote provider consultation,” Dr. Aiken and associates concluded.

Lift barriers to protect patients

“This important and timely article assesses the association between the disruptions of the coronavirus pandemic and online requests for telemedicine abortion,” Eve Espey, MD, of the University of New Mexico, Albuquerque, said in an interview.

“As background, state abortion restrictions have increased exponentially over the last decade, while research over the same time period has demonstrated the safety of telemedicine abortion – a form of self-managed abortion – with no in-person visit for appropriate candidates,” she said.

“Enter the coronavirus pandemic with safety concerns related to in-person medical visits and certain states leveraging the opportunity to enact even more stringent abortion restrictions. Unsurprisingly, the result, as documented in this excellent research report, is a significant increase in requests for telemedicine abortion in many states, particularly the most restrictive, from the single online service in the United States, Aid Access,” said Dr. Espey.

“Barriers to self-managed abortion include the [FDA] Risk Evaluation and Mitigation Strategy for mifepristone, a set of unnecessary restrictions requiring that providers meet certain qualifications and dispense the medication only in a clinic, office, or hospital,” she said. “The REMS precludes the use of telemedicine abortion; Aid Access and the FDA are in legal proceedings,” she noted.

“Most recently, the [American Civil Liberties Union] sued the FDA on behalf of a coalition of medical experts led by [American College of Obstetricians and Gynecologists] to suspend the REMS for mifepristone during the COVID public health emergency, to allow patients to receive the medications for early abortion without a visit to a health care provider,” Dr. Espey said. “Fortunately, a federal district court required the temporary suspension of the in-person dispensing restriction. Although this is a great step to improve abortion access during the pandemic, a permanent removal of the REMS would pave the way for ongoing safe, effective, and patient-centered early abortion care,” noted Dr. Espey, who was asked to comment on the research letter.

Dr. Aiken disclosed serving as a consultant for Agile Therapeutics, and a coauthor is the founder and director of Aid Access. Dr. Espey had no financial conflicts to disclose. She is a member of the Ob.Gyn. News Editorial Advisory Board.

SOURCE: Aiken ARA et al. Obstet Gynecol. 2020 Jul 21. doi: 10.1097/AOG.0000000000004081.

Requests for self-managed abortion via a telemedicine service increased by 27% from March 20, 2020, to April 11, 2020, in the United States in the wake of widespread lockdowns and shelter-in-place directives because of the COVID-19 pandemic, based on data from a provider of such services.

nortonrsx/Getty Images

Access to abortion care is challenging in many areas under ordinary circumstances, but the disruption of the COVID-19 pandemic led to many states suspending or limiting in-clinic services, wrote Abigail R.A. Aiken, MD, PhD, of the University of Texas at Austin and colleagues.

“As a result, people may increasingly be seeking self-managed abortion outside the formal health care system,” they said.

In a research letter published in Obstetrics & Gynecology, the investigators reviewed request data from Aid Access, a telemedicine service that provides medication for abortion at up to 10 weeks’ gestation for users who complete an online consultation form. They also collected data on the implementation and scope of COVID-19–related abortion restrictions by state.

The analysis included all 49,935 requests made between January 1, 2019, and April 11, 2020.

Overall, the rate of requests for self-managed medical abortions increased significantly, by 27%, during the period from March 20, 2020, to April 11, 2020, which reflected the average period after clinic restrictions or closures at the state level. A total of 11 states showed individually significant increases in requests for self-managed medical abortions, with the highest of 94% in Texas and the lowest of 22% in Ohio. In these 11 states, the median time spent at home was 5% higher than in states without significant increases in requests for self-managed medical abortions during the same period. These states also had “particularly high COVID-19 rates or more severe COVID-19–related restrictions on in-clinic abortion access,” the researchers noted.

Patients want alternatives to in-person care

“Our results may reflect two distinct phenomena,” Dr. Aiken and associates wrote. “First, more people may be seeking abortion through all channels, whether due to COVID-19 risks during pregnancy, reduced access to prenatal care, or the pandemic-related economic downturn. Second, there may be shift in demand from in-clinic to self-managed abortion during the pandemic, possibly owing to fear of infection during in-person care or inability to get to a clinic because of childcare and transit disruptions,” they explained.

The study findings were limited by the inability to measure all options for women to achieve self-managed abortions and a lack of power to detect changes in states with low request numbers or where restrictions were implemented at later dates, the researchers noted. However, the results suggest that telemedicine services for medication abortion should be a policy priority because patients may continue to seek alternatives while in-clinic services remain restricted, they said.

In fact, “the World Health Organization recommends telemedicine and self-management abortion-care models during the pandemic, and the United Kingdom has temporarily implemented fully remote provision of abortion medications,” the researchers wrote. However, similar strategies in the United States “would depend on sustained changes to the U.S. Food and Drug Administration’s Risk Evaluation and Mitigation Strategy, which requires patients to collect mifepristone at a hospital or medical facility, as well as changes to state-specific laws that prohibit remote provider consultation,” Dr. Aiken and associates concluded.

Lift barriers to protect patients

“This important and timely article assesses the association between the disruptions of the coronavirus pandemic and online requests for telemedicine abortion,” Eve Espey, MD, of the University of New Mexico, Albuquerque, said in an interview.

“As background, state abortion restrictions have increased exponentially over the last decade, while research over the same time period has demonstrated the safety of telemedicine abortion – a form of self-managed abortion – with no in-person visit for appropriate candidates,” she said.

“Enter the coronavirus pandemic with safety concerns related to in-person medical visits and certain states leveraging the opportunity to enact even more stringent abortion restrictions. Unsurprisingly, the result, as documented in this excellent research report, is a significant increase in requests for telemedicine abortion in many states, particularly the most restrictive, from the single online service in the United States, Aid Access,” said Dr. Espey.

“Barriers to self-managed abortion include the [FDA] Risk Evaluation and Mitigation Strategy for mifepristone, a set of unnecessary restrictions requiring that providers meet certain qualifications and dispense the medication only in a clinic, office, or hospital,” she said. “The REMS precludes the use of telemedicine abortion; Aid Access and the FDA are in legal proceedings,” she noted.

“Most recently, the [American Civil Liberties Union] sued the FDA on behalf of a coalition of medical experts led by [American College of Obstetricians and Gynecologists] to suspend the REMS for mifepristone during the COVID public health emergency, to allow patients to receive the medications for early abortion without a visit to a health care provider,” Dr. Espey said. “Fortunately, a federal district court required the temporary suspension of the in-person dispensing restriction. Although this is a great step to improve abortion access during the pandemic, a permanent removal of the REMS would pave the way for ongoing safe, effective, and patient-centered early abortion care,” noted Dr. Espey, who was asked to comment on the research letter.

Dr. Aiken disclosed serving as a consultant for Agile Therapeutics, and a coauthor is the founder and director of Aid Access. Dr. Espey had no financial conflicts to disclose. She is a member of the Ob.Gyn. News Editorial Advisory Board.

SOURCE: Aiken ARA et al. Obstet Gynecol. 2020 Jul 21. doi: 10.1097/AOG.0000000000004081.

Patients with type 2 or type 1 diabetes who stay in a blood glucose range of 70-180 mg/dL at least 70% of the time have the lowest rates of major adverse coronary events, severe hypoglycemic episodes, and microvascular events, according to a post hoc analysis of data collected from 5,774 patients with type 2 diabetes.

Data collected by the DEVOTE trial showed that every additional 10% of the time that a patient with type 2 diabetes (T2D) spent in their target range for blood glucose linked with a significant 6% reduced rate for developing a major adverse cardiovascular event (MACE), Richard M. Bergenstal, MD, said at the virtual annual meeting of the European Association for the Study of Diabetes.

For every 10% increase in time in range (TIR), patients showed an average 10% drop in their incidence of severe hypoglycemic episodes.
 

Increasing evidence from post hoc analyses

These findings confirmed a prior post hoc analysis of data collected in the DCCT trial (NCT00360815), which were published in the New England Journal of Medicine, although those results showed significant relationships between increased TIR and decreased rates of retinopathy and microalbuminuria. For every 10% drop in TIR, retinopathy rose by 64% and microalbuminuria increased by 40%, according to a post hoc analysis of the DCCT data that Dr. Bergenstal helped run and was published in Diabetes Care.

“It’s becoming clear that time in range is an important metric for diabetes management, and our new findings and those previously reported with the DCCT data make it look like time in range is becoming a good marker for clinical outcomes as well,” said Dr. Bergenstal, an endocrinologist at the Park Nicollet Clinic in Minneapolis.

“It’s a new concept, getting time-in-range data,” said Dr. Bergenstal, who was a coauthor of recommendations from Diabetes Care that were made in 2019 by an expert panel organized by the Advanced Technologies & Treatments for Diabetes Congress. “We think this will be a good marker to keep glycemia in a safe range, and the results look positive.” Patients who stay in the blood glucose range of 70-180 mg/dL (3.9-10.0 mmol/L) at least 70% of the time generally have an hemoglobin A_1c of about 7%, which is what makes it a good target for patients and clinicians to focus on. Patients with a 50% TIR rate generally have an HbA_1c of about 8%.

But a TIR assessment can be more informative than HbA_1c, said the 2019 recommendations document. It called TIR assessments “appropriate and useful as clinical targets and outcome measurements that complement A1c for a wide range of people with diabetes.”
 

Data mining from DEVOTE

The analysis run by Dr. Bergenstal and his associates used data from 5,774 of the 7,637 patients enrolled in the DEVOTE trial, for whom adequate longitudinal blood glucose data were available to derive and track TIR. DEVOTE had the primary aim of comparing two different types of insulin in patients with T2D, according to its explanation in the New England Journal of Medicine. The DEVOTE patients did not undergo routine continuous blood glucose monitoring, so derivation of TIR was the only option with the dataset, Dr. Bergenstal said. “We’re trying to get continuous blood monitoring into T2D trials,” he said.

The post hoc analysis showed that, during the study’s follow-up of just under 2 years, patients who maintained a derived TIR of 70%-100% had about a 6% MACE rate, which peaked at nearly twice that in patients whose TIR was 30% or less. The analysis showed a roughly positive linear relationship between TIR and MACE rates across the range of TIR values. In an adjusted analysis, patients with at least a 70% TIR had a significant 31% lower rate of MACE events, compared with patients whose TIR was 50% or less.

A second analysis that looked for the association between TIR and incidence of hypoglycemic episodes showed a somewhat similar positive relationship, with incidence rates of severe hypoglycemia episodes of about 4%-5% among patients with a TIR of 70% or greater, and a rate of about 7% in patients with a TIR of 30% or less, spiking to 14% among patients with a TIR of 10% or less. In an adjusted analysis, patients with a TIR of at least 70% had a significant 46% lower rate of severe hypoglycemic events, compared with patients whose TIR was 50% or less. This finding belies a common misconception that the tighter glycemic control that produces a higher TIR will lead to increased episodes of severe hypoglycemia, Dr. Bergenstal noted.

He also reported less extensive data on microvascular events. In an adjusted analysis, patients with a TIR of at least 70% had a significant 40% cut in these events compared with patients with 50% or less TIR.

DEVOTE was funded by Novo Nordisk. Dr. Bergenstal has had financial relationships with Novo Nordisk and several other companies.

mzoler@mdedge.com

SOURCE: Bergenstal R et al. EASD 2020, abstract 159.

Patients with type 2 or type 1 diabetes who stay in a blood glucose range of 70-180 mg/dL at least 70% of the time have the lowest rates of major adverse coronary events, severe hypoglycemic episodes, and microvascular events, according to a post hoc analysis of data collected from 5,774 patients with type 2 diabetes.

Data collected by the DEVOTE trial showed that every additional 10% of the time that a patient with type 2 diabetes (T2D) spent in their target range for blood glucose linked with a significant 6% reduced rate for developing a major adverse cardiovascular event (MACE), Richard M. Bergenstal, MD, said at the virtual annual meeting of the European Association for the Study of Diabetes.

For every 10% increase in time in range (TIR), patients showed an average 10% drop in their incidence of severe hypoglycemic episodes.
 

Increasing evidence from post hoc analyses

These findings confirmed a prior post hoc analysis of data collected in the DCCT trial (NCT00360815), which were published in the New England Journal of Medicine, although those results showed significant relationships between increased TIR and decreased rates of retinopathy and microalbuminuria. For every 10% drop in TIR, retinopathy rose by 64% and microalbuminuria increased by 40%, according to a post hoc analysis of the DCCT data that Dr. Bergenstal helped run and was published in Diabetes Care.

“It’s becoming clear that time in range is an important metric for diabetes management, and our new findings and those previously reported with the DCCT data make it look like time in range is becoming a good marker for clinical outcomes as well,” said Dr. Bergenstal, an endocrinologist at the Park Nicollet Clinic in Minneapolis.

“It’s a new concept, getting time-in-range data,” said Dr. Bergenstal, who was a coauthor of recommendations from Diabetes Care that were made in 2019 by an expert panel organized by the Advanced Technologies & Treatments for Diabetes Congress. “We think this will be a good marker to keep glycemia in a safe range, and the results look positive.” Patients who stay in the blood glucose range of 70-180 mg/dL (3.9-10.0 mmol/L) at least 70% of the time generally have an hemoglobin A_1c of about 7%, which is what makes it a good target for patients and clinicians to focus on. Patients with a 50% TIR rate generally have an HbA_1c of about 8%.

But a TIR assessment can be more informative than HbA_1c, said the 2019 recommendations document. It called TIR assessments “appropriate and useful as clinical targets and outcome measurements that complement A1c for a wide range of people with diabetes.”
 

Data mining from DEVOTE

The analysis run by Dr. Bergenstal and his associates used data from 5,774 of the 7,637 patients enrolled in the DEVOTE trial, for whom adequate longitudinal blood glucose data were available to derive and track TIR. DEVOTE had the primary aim of comparing two different types of insulin in patients with T2D, according to its explanation in the New England Journal of Medicine. The DEVOTE patients did not undergo routine continuous blood glucose monitoring, so derivation of TIR was the only option with the dataset, Dr. Bergenstal said. “We’re trying to get continuous blood monitoring into T2D trials,” he said.

The post hoc analysis showed that, during the study’s follow-up of just under 2 years, patients who maintained a derived TIR of 70%-100% had about a 6% MACE rate, which peaked at nearly twice that in patients whose TIR was 30% or less. The analysis showed a roughly positive linear relationship between TIR and MACE rates across the range of TIR values. In an adjusted analysis, patients with at least a 70% TIR had a significant 31% lower rate of MACE events, compared with patients whose TIR was 50% or less.

A second analysis that looked for the association between TIR and incidence of hypoglycemic episodes showed a somewhat similar positive relationship, with incidence rates of severe hypoglycemia episodes of about 4%-5% among patients with a TIR of 70% or greater, and a rate of about 7% in patients with a TIR of 30% or less, spiking to 14% among patients with a TIR of 10% or less. In an adjusted analysis, patients with a TIR of at least 70% had a significant 46% lower rate of severe hypoglycemic events, compared with patients whose TIR was 50% or less. This finding belies a common misconception that the tighter glycemic control that produces a higher TIR will lead to increased episodes of severe hypoglycemia, Dr. Bergenstal noted.

He also reported less extensive data on microvascular events. In an adjusted analysis, patients with a TIR of at least 70% had a significant 40% cut in these events compared with patients with 50% or less TIR.

DEVOTE was funded by Novo Nordisk. Dr. Bergenstal has had financial relationships with Novo Nordisk and several other companies.

mzoler@mdedge.com

SOURCE: Bergenstal R et al. EASD 2020, abstract 159.

Patients with type 2 or type 1 diabetes who stay in a blood glucose range of 70-180 mg/dL at least 70% of the time have the lowest rates of major adverse coronary events, severe hypoglycemic episodes, and microvascular events, according to a post hoc analysis of data collected from 5,774 patients with type 2 diabetes.

Data collected by the DEVOTE trial showed that every additional 10% of the time that a patient with type 2 diabetes (T2D) spent in their target range for blood glucose linked with a significant 6% reduced rate for developing a major adverse cardiovascular event (MACE), Richard M. Bergenstal, MD, said at the virtual annual meeting of the European Association for the Study of Diabetes.

For every 10% increase in time in range (TIR), patients showed an average 10% drop in their incidence of severe hypoglycemic episodes.
 

Increasing evidence from post hoc analyses

These findings confirmed a prior post hoc analysis of data collected in the DCCT trial (NCT00360815), which were published in the New England Journal of Medicine, although those results showed significant relationships between increased TIR and decreased rates of retinopathy and microalbuminuria. For every 10% drop in TIR, retinopathy rose by 64% and microalbuminuria increased by 40%, according to a post hoc analysis of the DCCT data that Dr. Bergenstal helped run and was published in Diabetes Care.

“It’s becoming clear that time in range is an important metric for diabetes management, and our new findings and those previously reported with the DCCT data make it look like time in range is becoming a good marker for clinical outcomes as well,” said Dr. Bergenstal, an endocrinologist at the Park Nicollet Clinic in Minneapolis.

“It’s a new concept, getting time-in-range data,” said Dr. Bergenstal, who was a coauthor of recommendations from Diabetes Care that were made in 2019 by an expert panel organized by the Advanced Technologies & Treatments for Diabetes Congress. “We think this will be a good marker to keep glycemia in a safe range, and the results look positive.” Patients who stay in the blood glucose range of 70-180 mg/dL (3.9-10.0 mmol/L) at least 70% of the time generally have an hemoglobin A_1c of about 7%, which is what makes it a good target for patients and clinicians to focus on. Patients with a 50% TIR rate generally have an HbA_1c of about 8%.

But a TIR assessment can be more informative than HbA_1c, said the 2019 recommendations document. It called TIR assessments “appropriate and useful as clinical targets and outcome measurements that complement A1c for a wide range of people with diabetes.”
 

Data mining from DEVOTE

The analysis run by Dr. Bergenstal and his associates used data from 5,774 of the 7,637 patients enrolled in the DEVOTE trial, for whom adequate longitudinal blood glucose data were available to derive and track TIR. DEVOTE had the primary aim of comparing two different types of insulin in patients with T2D, according to its explanation in the New England Journal of Medicine. The DEVOTE patients did not undergo routine continuous blood glucose monitoring, so derivation of TIR was the only option with the dataset, Dr. Bergenstal said. “We’re trying to get continuous blood monitoring into T2D trials,” he said.

The post hoc analysis showed that, during the study’s follow-up of just under 2 years, patients who maintained a derived TIR of 70%-100% had about a 6% MACE rate, which peaked at nearly twice that in patients whose TIR was 30% or less. The analysis showed a roughly positive linear relationship between TIR and MACE rates across the range of TIR values. In an adjusted analysis, patients with at least a 70% TIR had a significant 31% lower rate of MACE events, compared with patients whose TIR was 50% or less.

A second analysis that looked for the association between TIR and incidence of hypoglycemic episodes showed a somewhat similar positive relationship, with incidence rates of severe hypoglycemia episodes of about 4%-5% among patients with a TIR of 70% or greater, and a rate of about 7% in patients with a TIR of 30% or less, spiking to 14% among patients with a TIR of 10% or less. In an adjusted analysis, patients with a TIR of at least 70% had a significant 46% lower rate of severe hypoglycemic events, compared with patients whose TIR was 50% or less. This finding belies a common misconception that the tighter glycemic control that produces a higher TIR will lead to increased episodes of severe hypoglycemia, Dr. Bergenstal noted.

He also reported less extensive data on microvascular events. In an adjusted analysis, patients with a TIR of at least 70% had a significant 40% cut in these events compared with patients with 50% or less TIR.

DEVOTE was funded by Novo Nordisk. Dr. Bergenstal has had financial relationships with Novo Nordisk and several other companies.

mzoler@mdedge.com

SOURCE: Bergenstal R et al. EASD 2020, abstract 159.

The Food and Drug Administration wants updated boxed warnings on benzodiazepines to reflect the “serious” risks of abuse, misuse, addiction, physical dependence, and withdrawal reactions associated with these medications.

“The current prescribing information for benzodiazepines does not provide adequate warnings about these serious risks and harms associated with these medicines so they may be prescribed and used inappropriately,” the FDA said in a safety communication.

The FDA also wants revisions to the patient medication guides for benzodiazepines to help educate patients and caregivers about these risks.

“While benzodiazepines are important therapies for many Americans, they are also commonly abused and misused, often together with opioid pain relievers and other medicines, alcohol, and illicit drugs,” FDA Commissioner Stephen M. Hahn, MD, said in a statement.

“We are taking measures and requiring new labeling information to help health care professionals and patients better understand that, while benzodiazepines have many treatment benefits, they also carry with them an increased risk of abuse, misuse, addiction, and dependence,” said Dr. Hahn.
 

Ninety-two million prescriptions in 2019

Benzodiazepines are widely used to treat anxiety, insomnia, seizures, and other conditions, often for extended periods of time.

According to the FDA, in 2019, an estimated 92 million benzodiazepine prescriptions were dispensed from U.S. outpatient pharmacies, most commonly alprazolam, clonazepam, and lorazepam.

Data from 2018 show that roughly 5.4 million people in the United States 12 years and older abused or misused benzodiazepines in the previous year.

Although the precise risk of benzodiazepine addiction remains unclear, population data “clearly indicate that both primary benzodiazepine use disorders and polysubstance addiction involving benzodiazepines do occur,” the FDA said.

Data from the National Survey on Drug Use and Health from 2015-2016 suggest that half million community-dwelling U.S. adults were estimated to have a benzodiazepine use disorder.
 

Jump in overdose deaths

Overdose deaths involving benzodiazepines jumped from 1,298 in 2010 to 11,537 in 2017 – an increase of more 780%. Most of these deaths involved benzodiazepines taken with prescription opioids.

Before prescribing a benzodiazepine and during treatment, a patient’s risk for abuse, misuse, and addiction should be assessed, the FDA said.

The agency urged particular caution when prescribing benzodiazepines with opioids and other central nervous system depressants, which has resulted in serious adverse events including severe respiratory depression and death.

The FDA also says patients and caregivers should be warned about the risks of abuse, misuse, addiction, dependence, and withdrawal with benzodiazepines and the associated signs and symptoms.

Physicians are encouraged to report adverse events involving benzodiazepines or other medicines to the FDA’s MedWatch program.
 

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

The Food and Drug Administration wants updated boxed warnings on benzodiazepines to reflect the “serious” risks of abuse, misuse, addiction, physical dependence, and withdrawal reactions associated with these medications.

“The current prescribing information for benzodiazepines does not provide adequate warnings about these serious risks and harms associated with these medicines so they may be prescribed and used inappropriately,” the FDA said in a safety communication.

The FDA also wants revisions to the patient medication guides for benzodiazepines to help educate patients and caregivers about these risks.

“While benzodiazepines are important therapies for many Americans, they are also commonly abused and misused, often together with opioid pain relievers and other medicines, alcohol, and illicit drugs,” FDA Commissioner Stephen M. Hahn, MD, said in a statement.

“We are taking measures and requiring new labeling information to help health care professionals and patients better understand that, while benzodiazepines have many treatment benefits, they also carry with them an increased risk of abuse, misuse, addiction, and dependence,” said Dr. Hahn.
 

Ninety-two million prescriptions in 2019

Benzodiazepines are widely used to treat anxiety, insomnia, seizures, and other conditions, often for extended periods of time.

According to the FDA, in 2019, an estimated 92 million benzodiazepine prescriptions were dispensed from U.S. outpatient pharmacies, most commonly alprazolam, clonazepam, and lorazepam.

Data from 2018 show that roughly 5.4 million people in the United States 12 years and older abused or misused benzodiazepines in the previous year.

Although the precise risk of benzodiazepine addiction remains unclear, population data “clearly indicate that both primary benzodiazepine use disorders and polysubstance addiction involving benzodiazepines do occur,” the FDA said.

Data from the National Survey on Drug Use and Health from 2015-2016 suggest that half million community-dwelling U.S. adults were estimated to have a benzodiazepine use disorder.
 

Jump in overdose deaths

Overdose deaths involving benzodiazepines jumped from 1,298 in 2010 to 11,537 in 2017 – an increase of more 780%. Most of these deaths involved benzodiazepines taken with prescription opioids.

Before prescribing a benzodiazepine and during treatment, a patient’s risk for abuse, misuse, and addiction should be assessed, the FDA said.

The agency urged particular caution when prescribing benzodiazepines with opioids and other central nervous system depressants, which has resulted in serious adverse events including severe respiratory depression and death.

The FDA also says patients and caregivers should be warned about the risks of abuse, misuse, addiction, dependence, and withdrawal with benzodiazepines and the associated signs and symptoms.

Physicians are encouraged to report adverse events involving benzodiazepines or other medicines to the FDA’s MedWatch program.
 

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

The Food and Drug Administration wants updated boxed warnings on benzodiazepines to reflect the “serious” risks of abuse, misuse, addiction, physical dependence, and withdrawal reactions associated with these medications.

“The current prescribing information for benzodiazepines does not provide adequate warnings about these serious risks and harms associated with these medicines so they may be prescribed and used inappropriately,” the FDA said in a safety communication.

The FDA also wants revisions to the patient medication guides for benzodiazepines to help educate patients and caregivers about these risks.

“While benzodiazepines are important therapies for many Americans, they are also commonly abused and misused, often together with opioid pain relievers and other medicines, alcohol, and illicit drugs,” FDA Commissioner Stephen M. Hahn, MD, said in a statement.

“We are taking measures and requiring new labeling information to help health care professionals and patients better understand that, while benzodiazepines have many treatment benefits, they also carry with them an increased risk of abuse, misuse, addiction, and dependence,” said Dr. Hahn.
 

Ninety-two million prescriptions in 2019

Benzodiazepines are widely used to treat anxiety, insomnia, seizures, and other conditions, often for extended periods of time.

According to the FDA, in 2019, an estimated 92 million benzodiazepine prescriptions were dispensed from U.S. outpatient pharmacies, most commonly alprazolam, clonazepam, and lorazepam.

Data from 2018 show that roughly 5.4 million people in the United States 12 years and older abused or misused benzodiazepines in the previous year.

Although the precise risk of benzodiazepine addiction remains unclear, population data “clearly indicate that both primary benzodiazepine use disorders and polysubstance addiction involving benzodiazepines do occur,” the FDA said.

Data from the National Survey on Drug Use and Health from 2015-2016 suggest that half million community-dwelling U.S. adults were estimated to have a benzodiazepine use disorder.
 

Jump in overdose deaths

Overdose deaths involving benzodiazepines jumped from 1,298 in 2010 to 11,537 in 2017 – an increase of more 780%. Most of these deaths involved benzodiazepines taken with prescription opioids.

Before prescribing a benzodiazepine and during treatment, a patient’s risk for abuse, misuse, and addiction should be assessed, the FDA said.

The agency urged particular caution when prescribing benzodiazepines with opioids and other central nervous system depressants, which has resulted in serious adverse events including severe respiratory depression and death.

The FDA also says patients and caregivers should be warned about the risks of abuse, misuse, addiction, dependence, and withdrawal with benzodiazepines and the associated signs and symptoms.

Physicians are encouraged to report adverse events involving benzodiazepines or other medicines to the FDA’s MedWatch program.
 

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

Further data suggesting that a lower dose of rituximab seems to offer similar effectiveness with a better safety profile than higher doses commonly used in multiple sclerosis (MS), according to a new observational study. “We showed similar numbers of relapses, MRI new/active lesions, and effects on disability with a higher and lower dose of rituximab over a median follow of 16 months,” said lead author, Luciana Midaglia, MD, Multiple Sclerosis Centre of Catalonia (Cemcat) at Vall d’Hebron University Hospital, Barcelona. “But adverse effects – particularly frequency of infection – were increased in the high-dose group.”

Dr. Midaglia presented the findings at the recent Joint European Committee for Treatment and Research in Multiple Sclerosis–Americas Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS-ACTRIMS) 2020, this year known as MSVirtual2020.

“There haven’t been large studies of rituximab in MS as the company [Genentech/Roche] prioritized development of ocrelizumab over rituximab,” she explained. Rituximab has, therefore, never been approved for this indication. But it is available for several other conditions, and it is often used off label for MS.

“Although we now have a lot of experience with rituximab in MS, a dosage regimen has not been standardized,” Dr. Midaglia noted.

The current study was conducted to compare the efficacy and safety of two different dosage regimens of rituximab used at two different Catalan MS centers.

In the Barcelona center, 249 patients received a regimen of 2 g IV for the first three 6-month cycles followed by 1 g every 6 months thereafter (higher-dose group). In the Girona center, 54 patients received just one loading dose of 2 g followed by 500 mg every 6 months thereafter (lower-dose group).

Patients were followed up clinically every 6 months, and MRI brain scans were performed at baseline and yearly thereafter. Blood samples for safety and B cell/immunoglobulin monitoring were drawn at 3 months after rituximab infusions.

Results showed that the annualized relapse rate reduced by 87% (from 0.4 to 0.05; P < .001) in the higher-dose cohort, and by 90% (from 0.31 to 0.03; P = .018) in the lower-dose cohort.

The Expanded Disability Status Scale score remained stable or improved in 83% of the higher-dose group versus 72% of the lower-dose group (P = .09).

Contrast-enhancing lesions were reduced by 92% by 12 months and by 100% by 36 months in the higher-dose group and by 81% and 100%, respectively, in the lower-dose group.

New T2 lesions were present in 19% of patients at 12 months and in 12% at 36 months in the higher-dose group and in 16% and 0%, respectively, in the lower-dose group.

Reductions in B cell levels were similar with both doses. However, a reduced rate of adverse effects, mainly infections, was seen in the lower-dose group.

Infections were reported in 7.2% of the higher-dose group and 3.7% of the lower-dose group at 1 year, in 9.7% versus 0% in the second year, and in 9.7% versus 0% in the third year. Urinary tract infections, followed by respiratory infections, were the most prevalent.

A randomized phase 3 study is now underway testing an even lower dose of rituximab. The trial, known as RIDOSE-MS, is comparing maintenance doses of 500 mg every 6 months and 500 mg every 12 months.

Dr. Midaglia said that most centers are using higher doses of rituximab – similar to the Barcelona cohort in this study.

“After this study, we will we now start a new protocol and use the lower dose for all MS patients,” she said.

She reported that her hospital has been using rituximab extensively in MS.

“There were delays to ocrelizumab being introduced in Spain, and while we were waiting, we started using rituximab,” she said. “We believe it is similarly effective to ocrelizumab. It has exactly the same mechanism of action. The only difference is that rituximab is a chimeric antibody while ocrelizumab is fully humanized.”

While rituximab has not had the validation of a full phase 3 trial, she added, “there are data available from several smaller studies and we feel we have learned how to use it in the real world, but we don’t have an approved dosage schedule. We started off using the dose approved for use in rheumatological and hematological conditions.”

Now that ocrelizumab is approved, Dr. Midaglia said they are using that drug for the patients who meet the approved criteria, but there are many patients who don’t qualify.

“For example, in progressive MS, ocrelizumab has quite a narrow indication – it is not reimbursed for patients without any inflammatory activity. So for these patients, we tend to use rituximab,” she noted.

“While there is no good data on its efficacy in these patients, we believe it has some effect and there is no other option at present. Rituximab is an inexpensive drug and has a long safety record in other conditions, so we feel it’s worth a try,” Dr. Midaglia concluded. “And now we have better data on the optimal dosage.”

Commenting on the study, Daniel Ontaneda, MD, comoderator of the session at which the study was presented, said: “Rituximab is not an [Food and Drug Administration]–approved medication for MS, but it has been used in clinical practice quite extensively in the U.S. and also in Europe. The study is of interest as it showed that the lower dose of rituximab achieved good control of disease activity.”

Dr. Ontaneda, a neurologist at the Mellen Center for MS at the Cleveland Clinic, Ohio, added: “Many centers have been using lower doses or less frequent infusions and this study supports this practice. Some degree of residual confounding in the study in the differences in side effects may be related to the two different sites, but overall I think these results add to the real-world observational data now available for anti-CD20 therapies.”

Dr. Midaglia reported receiving travel funding from Genzyme, Roche, Biogen Idec, and Novartis, and personal fees for lectures from Roche.
 

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

Further data suggesting that a lower dose of rituximab seems to offer similar effectiveness with a better safety profile than higher doses commonly used in multiple sclerosis (MS), according to a new observational study. “We showed similar numbers of relapses, MRI new/active lesions, and effects on disability with a higher and lower dose of rituximab over a median follow of 16 months,” said lead author, Luciana Midaglia, MD, Multiple Sclerosis Centre of Catalonia (Cemcat) at Vall d’Hebron University Hospital, Barcelona. “But adverse effects – particularly frequency of infection – were increased in the high-dose group.”

Dr. Midaglia presented the findings at the recent Joint European Committee for Treatment and Research in Multiple Sclerosis–Americas Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS-ACTRIMS) 2020, this year known as MSVirtual2020.

“There haven’t been large studies of rituximab in MS as the company [Genentech/Roche] prioritized development of ocrelizumab over rituximab,” she explained. Rituximab has, therefore, never been approved for this indication. But it is available for several other conditions, and it is often used off label for MS.

“Although we now have a lot of experience with rituximab in MS, a dosage regimen has not been standardized,” Dr. Midaglia noted.

The current study was conducted to compare the efficacy and safety of two different dosage regimens of rituximab used at two different Catalan MS centers.

In the Barcelona center, 249 patients received a regimen of 2 g IV for the first three 6-month cycles followed by 1 g every 6 months thereafter (higher-dose group). In the Girona center, 54 patients received just one loading dose of 2 g followed by 500 mg every 6 months thereafter (lower-dose group).

Patients were followed up clinically every 6 months, and MRI brain scans were performed at baseline and yearly thereafter. Blood samples for safety and B cell/immunoglobulin monitoring were drawn at 3 months after rituximab infusions.

Results showed that the annualized relapse rate reduced by 87% (from 0.4 to 0.05; P < .001) in the higher-dose cohort, and by 90% (from 0.31 to 0.03; P = .018) in the lower-dose cohort.

The Expanded Disability Status Scale score remained stable or improved in 83% of the higher-dose group versus 72% of the lower-dose group (P = .09).

Contrast-enhancing lesions were reduced by 92% by 12 months and by 100% by 36 months in the higher-dose group and by 81% and 100%, respectively, in the lower-dose group.

New T2 lesions were present in 19% of patients at 12 months and in 12% at 36 months in the higher-dose group and in 16% and 0%, respectively, in the lower-dose group.

Reductions in B cell levels were similar with both doses. However, a reduced rate of adverse effects, mainly infections, was seen in the lower-dose group.

Infections were reported in 7.2% of the higher-dose group and 3.7% of the lower-dose group at 1 year, in 9.7% versus 0% in the second year, and in 9.7% versus 0% in the third year. Urinary tract infections, followed by respiratory infections, were the most prevalent.

A randomized phase 3 study is now underway testing an even lower dose of rituximab. The trial, known as RIDOSE-MS, is comparing maintenance doses of 500 mg every 6 months and 500 mg every 12 months.

Dr. Midaglia said that most centers are using higher doses of rituximab – similar to the Barcelona cohort in this study.

“After this study, we will we now start a new protocol and use the lower dose for all MS patients,” she said.

She reported that her hospital has been using rituximab extensively in MS.

“There were delays to ocrelizumab being introduced in Spain, and while we were waiting, we started using rituximab,” she said. “We believe it is similarly effective to ocrelizumab. It has exactly the same mechanism of action. The only difference is that rituximab is a chimeric antibody while ocrelizumab is fully humanized.”

While rituximab has not had the validation of a full phase 3 trial, she added, “there are data available from several smaller studies and we feel we have learned how to use it in the real world, but we don’t have an approved dosage schedule. We started off using the dose approved for use in rheumatological and hematological conditions.”

Now that ocrelizumab is approved, Dr. Midaglia said they are using that drug for the patients who meet the approved criteria, but there are many patients who don’t qualify.

“For example, in progressive MS, ocrelizumab has quite a narrow indication – it is not reimbursed for patients without any inflammatory activity. So for these patients, we tend to use rituximab,” she noted.

“While there is no good data on its efficacy in these patients, we believe it has some effect and there is no other option at present. Rituximab is an inexpensive drug and has a long safety record in other conditions, so we feel it’s worth a try,” Dr. Midaglia concluded. “And now we have better data on the optimal dosage.”

Commenting on the study, Daniel Ontaneda, MD, comoderator of the session at which the study was presented, said: “Rituximab is not an [Food and Drug Administration]–approved medication for MS, but it has been used in clinical practice quite extensively in the U.S. and also in Europe. The study is of interest as it showed that the lower dose of rituximab achieved good control of disease activity.”

Dr. Ontaneda, a neurologist at the Mellen Center for MS at the Cleveland Clinic, Ohio, added: “Many centers have been using lower doses or less frequent infusions and this study supports this practice. Some degree of residual confounding in the study in the differences in side effects may be related to the two different sites, but overall I think these results add to the real-world observational data now available for anti-CD20 therapies.”

Dr. Midaglia reported receiving travel funding from Genzyme, Roche, Biogen Idec, and Novartis, and personal fees for lectures from Roche.
 

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

Further data suggesting that a lower dose of rituximab seems to offer similar effectiveness with a better safety profile than higher doses commonly used in multiple sclerosis (MS), according to a new observational study. “We showed similar numbers of relapses, MRI new/active lesions, and effects on disability with a higher and lower dose of rituximab over a median follow of 16 months,” said lead author, Luciana Midaglia, MD, Multiple Sclerosis Centre of Catalonia (Cemcat) at Vall d’Hebron University Hospital, Barcelona. “But adverse effects – particularly frequency of infection – were increased in the high-dose group.”

Dr. Midaglia presented the findings at the recent Joint European Committee for Treatment and Research in Multiple Sclerosis–Americas Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS-ACTRIMS) 2020, this year known as MSVirtual2020.

“There haven’t been large studies of rituximab in MS as the company [Genentech/Roche] prioritized development of ocrelizumab over rituximab,” she explained. Rituximab has, therefore, never been approved for this indication. But it is available for several other conditions, and it is often used off label for MS.

“Although we now have a lot of experience with rituximab in MS, a dosage regimen has not been standardized,” Dr. Midaglia noted.

The current study was conducted to compare the efficacy and safety of two different dosage regimens of rituximab used at two different Catalan MS centers.

In the Barcelona center, 249 patients received a regimen of 2 g IV for the first three 6-month cycles followed by 1 g every 6 months thereafter (higher-dose group). In the Girona center, 54 patients received just one loading dose of 2 g followed by 500 mg every 6 months thereafter (lower-dose group).

Patients were followed up clinically every 6 months, and MRI brain scans were performed at baseline and yearly thereafter. Blood samples for safety and B cell/immunoglobulin monitoring were drawn at 3 months after rituximab infusions.

Results showed that the annualized relapse rate reduced by 87% (from 0.4 to 0.05; P < .001) in the higher-dose cohort, and by 90% (from 0.31 to 0.03; P = .018) in the lower-dose cohort.

The Expanded Disability Status Scale score remained stable or improved in 83% of the higher-dose group versus 72% of the lower-dose group (P = .09).

Contrast-enhancing lesions were reduced by 92% by 12 months and by 100% by 36 months in the higher-dose group and by 81% and 100%, respectively, in the lower-dose group.

New T2 lesions were present in 19% of patients at 12 months and in 12% at 36 months in the higher-dose group and in 16% and 0%, respectively, in the lower-dose group.

Reductions in B cell levels were similar with both doses. However, a reduced rate of adverse effects, mainly infections, was seen in the lower-dose group.

Infections were reported in 7.2% of the higher-dose group and 3.7% of the lower-dose group at 1 year, in 9.7% versus 0% in the second year, and in 9.7% versus 0% in the third year. Urinary tract infections, followed by respiratory infections, were the most prevalent.

A randomized phase 3 study is now underway testing an even lower dose of rituximab. The trial, known as RIDOSE-MS, is comparing maintenance doses of 500 mg every 6 months and 500 mg every 12 months.

Dr. Midaglia said that most centers are using higher doses of rituximab – similar to the Barcelona cohort in this study.

“After this study, we will we now start a new protocol and use the lower dose for all MS patients,” she said.

She reported that her hospital has been using rituximab extensively in MS.

“There were delays to ocrelizumab being introduced in Spain, and while we were waiting, we started using rituximab,” she said. “We believe it is similarly effective to ocrelizumab. It has exactly the same mechanism of action. The only difference is that rituximab is a chimeric antibody while ocrelizumab is fully humanized.”

While rituximab has not had the validation of a full phase 3 trial, she added, “there are data available from several smaller studies and we feel we have learned how to use it in the real world, but we don’t have an approved dosage schedule. We started off using the dose approved for use in rheumatological and hematological conditions.”

Now that ocrelizumab is approved, Dr. Midaglia said they are using that drug for the patients who meet the approved criteria, but there are many patients who don’t qualify.

“For example, in progressive MS, ocrelizumab has quite a narrow indication – it is not reimbursed for patients without any inflammatory activity. So for these patients, we tend to use rituximab,” she noted.

“While there is no good data on its efficacy in these patients, we believe it has some effect and there is no other option at present. Rituximab is an inexpensive drug and has a long safety record in other conditions, so we feel it’s worth a try,” Dr. Midaglia concluded. “And now we have better data on the optimal dosage.”

Commenting on the study, Daniel Ontaneda, MD, comoderator of the session at which the study was presented, said: “Rituximab is not an [Food and Drug Administration]–approved medication for MS, but it has been used in clinical practice quite extensively in the U.S. and also in Europe. The study is of interest as it showed that the lower dose of rituximab achieved good control of disease activity.”

Dr. Ontaneda, a neurologist at the Mellen Center for MS at the Cleveland Clinic, Ohio, added: “Many centers have been using lower doses or less frequent infusions and this study supports this practice. Some degree of residual confounding in the study in the differences in side effects may be related to the two different sites, but overall I think these results add to the real-world observational data now available for anti-CD20 therapies.”

Dr. Midaglia reported receiving travel funding from Genzyme, Roche, Biogen Idec, and Novartis, and personal fees for lectures from Roche.
 

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