Sleep Medicine

LONDON — Updated guidelines for the management of atrial fibrillation released by the European Society of Cardiology are revamping the approach to care for this complex, multifactorial disease.

The identification and treatment of comorbidities and risk factors are the initial and central components of patient management, and are crucial for all other aspects of care for patients with atrial fibrillation (AF), Isabelle Van Gelder, MD, PhD, professor of cardiology at the University Medical Center in Groningen, the Netherlands, explained at the European Society of Cardiology (ESC) Congress.

It is not just appropriate to place the same emphasis on the control of comorbidities as on the rhythm disturbance, it is critical, said Dr. Van Gelder, who served as chair of the ESC-AF guidelines task force.

Comorbidities are the drivers of both the onset and recurrence of atrial fibrillation, and a dynamic approach to comorbidities is “central for the success of AF management.”
 

Class I Recommendation

In fact, on the basis of overwhelming evidence, a class I recommendation has been issued for a large number of goals in the comorbidity and risk factor management step of atrial fibrillation management, including those for hypertension, components of heart failure, obesity, diabetes, alcohol consumption, and exercise.

Sodium-glucose cotransporter-2 (SGLT2) inhibitors “should be offered to all patients with AF,” according to Dr. Van Gelder, who identified this as a new class I recommendation.

Patients who are not managed aggressively for the listed comorbidities ultimately face “treatment failure, poor patient outcomes, and a waste of healthcare resources,” she said.

Control of sleep apnea is also noted as a key target, although Van Gelder acknowledged that the supporting evidence only allows for a class IIb recommendation.

Control of comorbidities is not a new idea. In the 2023 joint guideline, led by a consortium of professional groups, including the American Heart Association (AHA) and the American College of Cardiology (ACC), the control of comorbidities, including most of those identified in the new ESC guidelines, was second in a list of 10 key take-home messages.

However, the new ESC guidelines have prioritized comorbidity management by listing it first in each of the specific patient-care pathways developed to define optimized care. 

These pathways, defined in algorithms for newly diagnosed AF, paroxysmal AF, and persistent AF, always start with the assessment of comorbidities, followed by step A — avoiding stroke — largely with anticoagulation.

Direct oral anticoagulants should be used, “except in those with a mechanical valve or mitral stenosis,” Dr. Van Gelder said. This includes, essentially, all patients with a CHA2DS2-VASc score of 2 or greater, and it should be “considered” in those with a score of 1. 

The ESC framework has been identified with the acronym AF-CARE, in which the C stands for comorbidities.

In the A step of the framework, identifying and treating all modifiable bleeding risk factors in AF patients is a class I recommendation. On the basis of a class III recommendation, she cautioned against withholding anticoagulants because of CHA2DS2-VASc risk factors alone. Rather, Dr. Van Gelder called the decision to administer or withhold anticoagulation — like all decisions — one that should be individualized in consultation with the patient.

For reducing AF symptoms and rhythm control, the specific pathways diverge for newly diagnosed AF, paroxysmal AF, and persistent AF. Like all of the guidelines, the specific options for symptom management and AF ablation are color coded, with green signifying level 1 evidence.

The evaluation and dynamic reassessment step refers to the need to periodically assess patients for new modifiable risk factors related to comorbidities, risk for stroke, risk for bleeding, and risk for AF. 

The management of risk factors for AF has long been emphasized in guidelines, but a previous focus on AF with attention to comorbidities has been replaced by a focus on comorbidities with an expectation of more durable AF control. The success of this pivot is based on multidisciplinary care, chosen in collaboration with the patient, to reduce or eliminate the triggers of AF and the risks of its complications.
 

Pathways Are Appropriate for All Patients

A very important recommendation — and this is new — is “to treat all our patients with atrial fibrillation, whether they are young or old, men or women, Black or White, or at high or low risk, according to our patient-centered integrated AF-CARE approach,” Dr. Van Gelder said.

The changes reflect a shared appreciation for the tight relation between the control of comorbidities and the control of AF, according to José A. Joglar, MD, professor of cardiac electrophysiologic research at the University of Texas Southwestern Medical Center in Dallas. Dr. Joglar was chair of the writing committee for the joint 2023 AF guidelines released by the AHA, ACC, the American College of Clinical Pharmacy, and the Heart Rhythm Society.

“It is increasingly clear that AF in many cases is the consequence of underlying risk factors and comorbidities, which cannot be separated from AF alone,” Dr. Joglar explained in an interview.

This was placed first “to emphasize the importance of viewing AFib as a complex disease that requires a holistic, multidisciplinary approach to care, as opposed to being viewed just as a rhythm abnormality,” he said.
 

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

LONDON — Updated guidelines for the management of atrial fibrillation released by the European Society of Cardiology are revamping the approach to care for this complex, multifactorial disease.

The identification and treatment of comorbidities and risk factors are the initial and central components of patient management, and are crucial for all other aspects of care for patients with atrial fibrillation (AF), Isabelle Van Gelder, MD, PhD, professor of cardiology at the University Medical Center in Groningen, the Netherlands, explained at the European Society of Cardiology (ESC) Congress.

It is not just appropriate to place the same emphasis on the control of comorbidities as on the rhythm disturbance, it is critical, said Dr. Van Gelder, who served as chair of the ESC-AF guidelines task force.

Comorbidities are the drivers of both the onset and recurrence of atrial fibrillation, and a dynamic approach to comorbidities is “central for the success of AF management.”
 

Class I Recommendation

In fact, on the basis of overwhelming evidence, a class I recommendation has been issued for a large number of goals in the comorbidity and risk factor management step of atrial fibrillation management, including those for hypertension, components of heart failure, obesity, diabetes, alcohol consumption, and exercise.

Sodium-glucose cotransporter-2 (SGLT2) inhibitors “should be offered to all patients with AF,” according to Dr. Van Gelder, who identified this as a new class I recommendation.

Patients who are not managed aggressively for the listed comorbidities ultimately face “treatment failure, poor patient outcomes, and a waste of healthcare resources,” she said.

Control of sleep apnea is also noted as a key target, although Van Gelder acknowledged that the supporting evidence only allows for a class IIb recommendation.

Control of comorbidities is not a new idea. In the 2023 joint guideline, led by a consortium of professional groups, including the American Heart Association (AHA) and the American College of Cardiology (ACC), the control of comorbidities, including most of those identified in the new ESC guidelines, was second in a list of 10 key take-home messages.

However, the new ESC guidelines have prioritized comorbidity management by listing it first in each of the specific patient-care pathways developed to define optimized care. 

These pathways, defined in algorithms for newly diagnosed AF, paroxysmal AF, and persistent AF, always start with the assessment of comorbidities, followed by step A — avoiding stroke — largely with anticoagulation.

Direct oral anticoagulants should be used, “except in those with a mechanical valve or mitral stenosis,” Dr. Van Gelder said. This includes, essentially, all patients with a CHA2DS2-VASc score of 2 or greater, and it should be “considered” in those with a score of 1. 

The ESC framework has been identified with the acronym AF-CARE, in which the C stands for comorbidities.

In the A step of the framework, identifying and treating all modifiable bleeding risk factors in AF patients is a class I recommendation. On the basis of a class III recommendation, she cautioned against withholding anticoagulants because of CHA2DS2-VASc risk factors alone. Rather, Dr. Van Gelder called the decision to administer or withhold anticoagulation — like all decisions — one that should be individualized in consultation with the patient.

For reducing AF symptoms and rhythm control, the specific pathways diverge for newly diagnosed AF, paroxysmal AF, and persistent AF. Like all of the guidelines, the specific options for symptom management and AF ablation are color coded, with green signifying level 1 evidence.

The evaluation and dynamic reassessment step refers to the need to periodically assess patients for new modifiable risk factors related to comorbidities, risk for stroke, risk for bleeding, and risk for AF. 

The management of risk factors for AF has long been emphasized in guidelines, but a previous focus on AF with attention to comorbidities has been replaced by a focus on comorbidities with an expectation of more durable AF control. The success of this pivot is based on multidisciplinary care, chosen in collaboration with the patient, to reduce or eliminate the triggers of AF and the risks of its complications.
 

Pathways Are Appropriate for All Patients

A very important recommendation — and this is new — is “to treat all our patients with atrial fibrillation, whether they are young or old, men or women, Black or White, or at high or low risk, according to our patient-centered integrated AF-CARE approach,” Dr. Van Gelder said.

The changes reflect a shared appreciation for the tight relation between the control of comorbidities and the control of AF, according to José A. Joglar, MD, professor of cardiac electrophysiologic research at the University of Texas Southwestern Medical Center in Dallas. Dr. Joglar was chair of the writing committee for the joint 2023 AF guidelines released by the AHA, ACC, the American College of Clinical Pharmacy, and the Heart Rhythm Society.

“It is increasingly clear that AF in many cases is the consequence of underlying risk factors and comorbidities, which cannot be separated from AF alone,” Dr. Joglar explained in an interview.

This was placed first “to emphasize the importance of viewing AFib as a complex disease that requires a holistic, multidisciplinary approach to care, as opposed to being viewed just as a rhythm abnormality,” he said.
 

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

LONDON — Updated guidelines for the management of atrial fibrillation released by the European Society of Cardiology are revamping the approach to care for this complex, multifactorial disease.

The identification and treatment of comorbidities and risk factors are the initial and central components of patient management, and are crucial for all other aspects of care for patients with atrial fibrillation (AF), Isabelle Van Gelder, MD, PhD, professor of cardiology at the University Medical Center in Groningen, the Netherlands, explained at the European Society of Cardiology (ESC) Congress.

It is not just appropriate to place the same emphasis on the control of comorbidities as on the rhythm disturbance, it is critical, said Dr. Van Gelder, who served as chair of the ESC-AF guidelines task force.

Comorbidities are the drivers of both the onset and recurrence of atrial fibrillation, and a dynamic approach to comorbidities is “central for the success of AF management.”
 

Class I Recommendation

In fact, on the basis of overwhelming evidence, a class I recommendation has been issued for a large number of goals in the comorbidity and risk factor management step of atrial fibrillation management, including those for hypertension, components of heart failure, obesity, diabetes, alcohol consumption, and exercise.

Sodium-glucose cotransporter-2 (SGLT2) inhibitors “should be offered to all patients with AF,” according to Dr. Van Gelder, who identified this as a new class I recommendation.

Patients who are not managed aggressively for the listed comorbidities ultimately face “treatment failure, poor patient outcomes, and a waste of healthcare resources,” she said.

Control of sleep apnea is also noted as a key target, although Van Gelder acknowledged that the supporting evidence only allows for a class IIb recommendation.

Control of comorbidities is not a new idea. In the 2023 joint guideline, led by a consortium of professional groups, including the American Heart Association (AHA) and the American College of Cardiology (ACC), the control of comorbidities, including most of those identified in the new ESC guidelines, was second in a list of 10 key take-home messages.

However, the new ESC guidelines have prioritized comorbidity management by listing it first in each of the specific patient-care pathways developed to define optimized care. 

These pathways, defined in algorithms for newly diagnosed AF, paroxysmal AF, and persistent AF, always start with the assessment of comorbidities, followed by step A — avoiding stroke — largely with anticoagulation.

Direct oral anticoagulants should be used, “except in those with a mechanical valve or mitral stenosis,” Dr. Van Gelder said. This includes, essentially, all patients with a CHA2DS2-VASc score of 2 or greater, and it should be “considered” in those with a score of 1. 

The ESC framework has been identified with the acronym AF-CARE, in which the C stands for comorbidities.

In the A step of the framework, identifying and treating all modifiable bleeding risk factors in AF patients is a class I recommendation. On the basis of a class III recommendation, she cautioned against withholding anticoagulants because of CHA2DS2-VASc risk factors alone. Rather, Dr. Van Gelder called the decision to administer or withhold anticoagulation — like all decisions — one that should be individualized in consultation with the patient.

For reducing AF symptoms and rhythm control, the specific pathways diverge for newly diagnosed AF, paroxysmal AF, and persistent AF. Like all of the guidelines, the specific options for symptom management and AF ablation are color coded, with green signifying level 1 evidence.

The evaluation and dynamic reassessment step refers to the need to periodically assess patients for new modifiable risk factors related to comorbidities, risk for stroke, risk for bleeding, and risk for AF. 

The management of risk factors for AF has long been emphasized in guidelines, but a previous focus on AF with attention to comorbidities has been replaced by a focus on comorbidities with an expectation of more durable AF control. The success of this pivot is based on multidisciplinary care, chosen in collaboration with the patient, to reduce or eliminate the triggers of AF and the risks of its complications.
 

Pathways Are Appropriate for All Patients

A very important recommendation — and this is new — is “to treat all our patients with atrial fibrillation, whether they are young or old, men or women, Black or White, or at high or low risk, according to our patient-centered integrated AF-CARE approach,” Dr. Van Gelder said.

The changes reflect a shared appreciation for the tight relation between the control of comorbidities and the control of AF, according to José A. Joglar, MD, professor of cardiac electrophysiologic research at the University of Texas Southwestern Medical Center in Dallas. Dr. Joglar was chair of the writing committee for the joint 2023 AF guidelines released by the AHA, ACC, the American College of Clinical Pharmacy, and the Heart Rhythm Society.

“It is increasingly clear that AF in many cases is the consequence of underlying risk factors and comorbidities, which cannot be separated from AF alone,” Dr. Joglar explained in an interview.

This was placed first “to emphasize the importance of viewing AFib as a complex disease that requires a holistic, multidisciplinary approach to care, as opposed to being viewed just as a rhythm abnormality,” he said.
 

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

A single night of sleep deprivation had a significant impact on human blood serum, based on new data from an analysis of nearly 500 proteins. Compromised sleep has demonstrated negative effects on cardiovascular, immune, and neuronal systems, and previous studies have shown human serum proteome changes after a simulation of night shift work, wrote Alvhild Alette Bjørkum, MD, of Western Norway University of Applied Sciences, Bergen, and colleagues.

In a pilot study published in Sleep Advances, the researchers recruited eight healthy adult women aged 22-57 years with no history of neurologic or psychiatric problems to participate in a study of the effect of compromised sleep on protein profiles, with implications for effects on cells, tissues, and organ systems. Each of the participants served as their own controls, and blood samples were taken after 6 hours of sleep at night, and again after 6 hours of sleep deprivation the following night.

The researchers identified analyzed 494 proteins using mass spectrometry. Of these, 66 were differentially expressed after 6 hours of sleep deprivation. The top enriched biologic processes of these significantly changed proteins were protein activation cascade, platelet degranulation, blood coagulation, and hemostasis.

Further analysis using gene ontology showed changes in response to sleep deprivation in biologic process, molecular function, and immune system process categories, including specific associations related to wound healing, cholesterol transport, high-density lipoprotein particle receptor binding, and granulocyte chemotaxis.

The findings were limited by several factors including the small sample size, inclusion only of adult females, and the use of data from only 1 night of sleep deprivation, the researchers noted. However, the results support previous studies showing a negative impact of sleep deprivation on biologic functions, they said.

“Our study was able to reveal another set of human serum proteins that were altered by sleep deprivation and could connect similar biological processes to sleep deprivation that have been identified before with slightly different methods,” the researchers concluded. The study findings add to the knowledge base for the protein profiling of sleep deprivation, which may inform the development of tools to manage lack of sleep and mistimed sleep, particularly in shift workers.
 

Too Soon for Clinical Implications

“The adverse impact of poor sleep across many organ systems is gaining recognition, but the mechanisms underlying sleep-related pathology are not well understood,” Evan L. Brittain, MD, of Vanderbilt University, Nashville, Tennessee, said in an interview. “Studies like this begin to shed light on the mechanisms by which poor or reduced sleep affects specific bodily functions,” added Dr. Brittain, who was not involved in the study.

“The effects of other acute physiologic stressor such as exercise on the circulating proteome are well described. In that regard, it is not surprising that a brief episode of sleep deprivation would lead to detectable changes in the circulation,” Dr. Brittain said.

However, the specific changes reported in this study are difficult to interpret because of methodological and analytical concerns, particularly the small sample size, lack of an external validation cohort, and absence of appropriate statistical adjustments in the results, Dr. Brittain noted. These limitations prevent consideration of clinical implications without further study.

The study received no outside funding. Neither the researchers nor Dr. Brittain disclosed any conflicts of interest.

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

A single night of sleep deprivation had a significant impact on human blood serum, based on new data from an analysis of nearly 500 proteins. Compromised sleep has demonstrated negative effects on cardiovascular, immune, and neuronal systems, and previous studies have shown human serum proteome changes after a simulation of night shift work, wrote Alvhild Alette Bjørkum, MD, of Western Norway University of Applied Sciences, Bergen, and colleagues.

In a pilot study published in Sleep Advances, the researchers recruited eight healthy adult women aged 22-57 years with no history of neurologic or psychiatric problems to participate in a study of the effect of compromised sleep on protein profiles, with implications for effects on cells, tissues, and organ systems. Each of the participants served as their own controls, and blood samples were taken after 6 hours of sleep at night, and again after 6 hours of sleep deprivation the following night.

The researchers identified analyzed 494 proteins using mass spectrometry. Of these, 66 were differentially expressed after 6 hours of sleep deprivation. The top enriched biologic processes of these significantly changed proteins were protein activation cascade, platelet degranulation, blood coagulation, and hemostasis.

Further analysis using gene ontology showed changes in response to sleep deprivation in biologic process, molecular function, and immune system process categories, including specific associations related to wound healing, cholesterol transport, high-density lipoprotein particle receptor binding, and granulocyte chemotaxis.

The findings were limited by several factors including the small sample size, inclusion only of adult females, and the use of data from only 1 night of sleep deprivation, the researchers noted. However, the results support previous studies showing a negative impact of sleep deprivation on biologic functions, they said.

“Our study was able to reveal another set of human serum proteins that were altered by sleep deprivation and could connect similar biological processes to sleep deprivation that have been identified before with slightly different methods,” the researchers concluded. The study findings add to the knowledge base for the protein profiling of sleep deprivation, which may inform the development of tools to manage lack of sleep and mistimed sleep, particularly in shift workers.
 

Too Soon for Clinical Implications

“The adverse impact of poor sleep across many organ systems is gaining recognition, but the mechanisms underlying sleep-related pathology are not well understood,” Evan L. Brittain, MD, of Vanderbilt University, Nashville, Tennessee, said in an interview. “Studies like this begin to shed light on the mechanisms by which poor or reduced sleep affects specific bodily functions,” added Dr. Brittain, who was not involved in the study.

“The effects of other acute physiologic stressor such as exercise on the circulating proteome are well described. In that regard, it is not surprising that a brief episode of sleep deprivation would lead to detectable changes in the circulation,” Dr. Brittain said.

However, the specific changes reported in this study are difficult to interpret because of methodological and analytical concerns, particularly the small sample size, lack of an external validation cohort, and absence of appropriate statistical adjustments in the results, Dr. Brittain noted. These limitations prevent consideration of clinical implications without further study.

The study received no outside funding. Neither the researchers nor Dr. Brittain disclosed any conflicts of interest.

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

A single night of sleep deprivation had a significant impact on human blood serum, based on new data from an analysis of nearly 500 proteins. Compromised sleep has demonstrated negative effects on cardiovascular, immune, and neuronal systems, and previous studies have shown human serum proteome changes after a simulation of night shift work, wrote Alvhild Alette Bjørkum, MD, of Western Norway University of Applied Sciences, Bergen, and colleagues.

In a pilot study published in Sleep Advances, the researchers recruited eight healthy adult women aged 22-57 years with no history of neurologic or psychiatric problems to participate in a study of the effect of compromised sleep on protein profiles, with implications for effects on cells, tissues, and organ systems. Each of the participants served as their own controls, and blood samples were taken after 6 hours of sleep at night, and again after 6 hours of sleep deprivation the following night.

The researchers identified analyzed 494 proteins using mass spectrometry. Of these, 66 were differentially expressed after 6 hours of sleep deprivation. The top enriched biologic processes of these significantly changed proteins were protein activation cascade, platelet degranulation, blood coagulation, and hemostasis.

Further analysis using gene ontology showed changes in response to sleep deprivation in biologic process, molecular function, and immune system process categories, including specific associations related to wound healing, cholesterol transport, high-density lipoprotein particle receptor binding, and granulocyte chemotaxis.

The findings were limited by several factors including the small sample size, inclusion only of adult females, and the use of data from only 1 night of sleep deprivation, the researchers noted. However, the results support previous studies showing a negative impact of sleep deprivation on biologic functions, they said.

“Our study was able to reveal another set of human serum proteins that were altered by sleep deprivation and could connect similar biological processes to sleep deprivation that have been identified before with slightly different methods,” the researchers concluded. The study findings add to the knowledge base for the protein profiling of sleep deprivation, which may inform the development of tools to manage lack of sleep and mistimed sleep, particularly in shift workers.
 

Too Soon for Clinical Implications

“The adverse impact of poor sleep across many organ systems is gaining recognition, but the mechanisms underlying sleep-related pathology are not well understood,” Evan L. Brittain, MD, of Vanderbilt University, Nashville, Tennessee, said in an interview. “Studies like this begin to shed light on the mechanisms by which poor or reduced sleep affects specific bodily functions,” added Dr. Brittain, who was not involved in the study.

“The effects of other acute physiologic stressor such as exercise on the circulating proteome are well described. In that regard, it is not surprising that a brief episode of sleep deprivation would lead to detectable changes in the circulation,” Dr. Brittain said.

However, the specific changes reported in this study are difficult to interpret because of methodological and analytical concerns, particularly the small sample size, lack of an external validation cohort, and absence of appropriate statistical adjustments in the results, Dr. Brittain noted. These limitations prevent consideration of clinical implications without further study.

The study received no outside funding. Neither the researchers nor Dr. Brittain disclosed any conflicts of interest.

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

A new analysis has detected a signal of suicidal ideation associated with the glucagon-like peptide 1 receptor agonist (GLP-1 RA) semaglutide, especially among individuals concurrently using antidepressants or benzodiazepines. 

However, the investigators and outside experts urge caution in drawing any firm conclusions based on the study’s observations. 

“Clinicians should not interpret these results as proof of causal relationship between suicidal ideation and semaglutide, as our pharmacovigilance study showed an association between the use of semaglutide and reports of suicidal ideation,” study investigator Georgios Schoretsanitis, MD, PhD, Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, New York, told this news organization.

Nonetheless, “physicians prescribing semaglutide should inform their patients about the medications’ risks and assess the psychiatric history and evaluate the mental state of patients before starting treatment with semaglutide,” Dr. Schoretsanitis said. 

“For patients with history of mental disorders or suicidal ideation/behaviors/attempts, physicians should be cautious and regularly monitor their mental state while taking semaglutide. If needed, the treating physician should involve different specialists, including a psychiatrist and/or clinical psychologists,” he added. 

The study was published online on August 20 in JAMA Network Open. 
 

Emerging Concerns

GLP-1 RAs are increasingly prescribed not only for type 2 diabetes but also for weight loss. However, concerns have emerged about a potential association with suicidality, which has prompted a closer look by regulators in the United States and Europe. 

Dr. Schoretsanitis and colleagues evaluated potential signals of suicidality related to semaglutide and liraglutide using data from global World Health Organization database of suspected adverse drug reactions (ADRs). 

They conducted sensitivity analyses including patients with co-reported use of antidepressants and benzodiazepines and using dapagliflozin, metformin, and orlistat as comparators. 

Between November 2000 and August 2023, there were 107 cases of suicidal and/or self-injurious ADRs reported with semaglutide (median age, 48 years; 55% women) and 162 reported with liraglutide (median age 47 years; 61% women). 

The researchers noted that a “significant disproportionality” signal emerged for semaglutide-associated suicidal ideation (reporting odds ratio [ROR], 1.45), when compared with comparator drugs. 

This signal remained significant in sensitivity analyses that included patients on concurrent antidepressants (ROR, 4.45) and benzodiazepines (ROR, 4.07), “suggesting that people with anxiety and depressive disorders may be at higher probability of reporting suicidal ideation when medicated with semaglutide,” the authors wrote. 

No significant disproportionality signal was detected for liraglutide regarding suicidal ideation (ROR, 1.04). 

However, the authors noted that pooled data from previous phase 2 and 3 trials on liraglutide vs placebo for weight management identified a potential risk for suicidal ideation, with nine of 3384 participants in the liraglutide group vs two of 1941 in the placebo group reporting suicidal ideation or behavior during the trial (0.27% vs 0.10%). 
 

More Research Needed 

GLP-1 RAs “should be used cautiously until further data are available on this topic,” Dr. Schoretsanitis said. 

“Further real-world studies should investigate the risk of suicidal ideation or behavior in people treated with these drugs in every-day clinical practice. We categorically discourage off-label use of GLP1-RA and without any medical supervision,” he added.

The coauthors of an invited commentary published with the study note that between 2020 and 2023, GLP-1 RA use rose 594% in younger people, particularly in women.

This “timely and well-conducted study” by Dr. Schoretsanitis and colleagues adds “an important piece to the very relevant safety issue” related to GLP-1 RAs, wrote Francesco Salvo, MD, PhD, with Université de Bordeaux, and Jean-Luc Faillie, MD, PhD, with Université de Montpellier, both in France. 

Pending further studies, the position of the US Food and Drug Administration (FDA) recommending caution “continues to be reasonable. Whatever the cause, depression or suicidality are rare but extremely severe events and need to be prevented and managed as much as possible. 

“Waiting for more precise data, GPL-1 receptor agonists, and appetite suppressants in general, should be prescribed with great caution in patients with a history of depression or suicidal attempts, while in patients with new onset of depression without other apparent precipitants, immediate discontinuation of GLP-1 receptor agonists should be considered,” wrote Dr. Salvo and Dr. Faillie. 

Outside experts also weighed in on the study in a statement from the UK nonprofit Science Media Centre. 

The paper presents, “at best, weak evidence of an association between semaglutide and suicidality,” Ian Douglas, PhD, professor of pharmacoepidemiology, London School of Hygiene & Tropical Medicine, United Kingdom, said in the statement. “Signal detection studies in pharmacovigilance databases are good for generating hypotheses but are not suitable for assessing whether there is a causal association between a drug and an outcome.”

Stephen Evans, MSc, emeritus professor of pharmacoepidemiology, London School of Hygiene & Tropical Medicine, cautioned that the study has “major limitations.”

“This paper is based just on spontaneous reports which are sent to regulatory authorities in the country of the person reporting a suspected adverse reaction. These are sent by health professionals and patients to authorities, but are very subject to bias, including effects of media reporting. The evidence is extremely weak for a genuine effect in this instance,” Mr. Evans said. 

The study had no specific funding. Dr. Schoretsanitis reported receiving personal fees from HLS, Dexcel, Saladax, and Thermo Fisher outside the submitted work. Dr. Salvo and Dr. Faillie have no conflicts of interest. Dr. Douglas has received research grants from GSK and AstraZeneca. Mr. Evans has no conflicts of interest. 
 

A version of this article appeared on Medscape.com.

A new analysis has detected a signal of suicidal ideation associated with the glucagon-like peptide 1 receptor agonist (GLP-1 RA) semaglutide, especially among individuals concurrently using antidepressants or benzodiazepines. 

However, the investigators and outside experts urge caution in drawing any firm conclusions based on the study’s observations. 

“Clinicians should not interpret these results as proof of causal relationship between suicidal ideation and semaglutide, as our pharmacovigilance study showed an association between the use of semaglutide and reports of suicidal ideation,” study investigator Georgios Schoretsanitis, MD, PhD, Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, New York, told this news organization.

Nonetheless, “physicians prescribing semaglutide should inform their patients about the medications’ risks and assess the psychiatric history and evaluate the mental state of patients before starting treatment with semaglutide,” Dr. Schoretsanitis said. 

“For patients with history of mental disorders or suicidal ideation/behaviors/attempts, physicians should be cautious and regularly monitor their mental state while taking semaglutide. If needed, the treating physician should involve different specialists, including a psychiatrist and/or clinical psychologists,” he added. 

The study was published online on August 20 in JAMA Network Open. 
 

Emerging Concerns

GLP-1 RAs are increasingly prescribed not only for type 2 diabetes but also for weight loss. However, concerns have emerged about a potential association with suicidality, which has prompted a closer look by regulators in the United States and Europe. 

Dr. Schoretsanitis and colleagues evaluated potential signals of suicidality related to semaglutide and liraglutide using data from global World Health Organization database of suspected adverse drug reactions (ADRs). 

They conducted sensitivity analyses including patients with co-reported use of antidepressants and benzodiazepines and using dapagliflozin, metformin, and orlistat as comparators. 

Between November 2000 and August 2023, there were 107 cases of suicidal and/or self-injurious ADRs reported with semaglutide (median age, 48 years; 55% women) and 162 reported with liraglutide (median age 47 years; 61% women). 

The researchers noted that a “significant disproportionality” signal emerged for semaglutide-associated suicidal ideation (reporting odds ratio [ROR], 1.45), when compared with comparator drugs. 

This signal remained significant in sensitivity analyses that included patients on concurrent antidepressants (ROR, 4.45) and benzodiazepines (ROR, 4.07), “suggesting that people with anxiety and depressive disorders may be at higher probability of reporting suicidal ideation when medicated with semaglutide,” the authors wrote. 

No significant disproportionality signal was detected for liraglutide regarding suicidal ideation (ROR, 1.04). 

However, the authors noted that pooled data from previous phase 2 and 3 trials on liraglutide vs placebo for weight management identified a potential risk for suicidal ideation, with nine of 3384 participants in the liraglutide group vs two of 1941 in the placebo group reporting suicidal ideation or behavior during the trial (0.27% vs 0.10%). 
 

More Research Needed 

GLP-1 RAs “should be used cautiously until further data are available on this topic,” Dr. Schoretsanitis said. 

“Further real-world studies should investigate the risk of suicidal ideation or behavior in people treated with these drugs in every-day clinical practice. We categorically discourage off-label use of GLP1-RA and without any medical supervision,” he added.

The coauthors of an invited commentary published with the study note that between 2020 and 2023, GLP-1 RA use rose 594% in younger people, particularly in women.

This “timely and well-conducted study” by Dr. Schoretsanitis and colleagues adds “an important piece to the very relevant safety issue” related to GLP-1 RAs, wrote Francesco Salvo, MD, PhD, with Université de Bordeaux, and Jean-Luc Faillie, MD, PhD, with Université de Montpellier, both in France. 

Pending further studies, the position of the US Food and Drug Administration (FDA) recommending caution “continues to be reasonable. Whatever the cause, depression or suicidality are rare but extremely severe events and need to be prevented and managed as much as possible. 

“Waiting for more precise data, GPL-1 receptor agonists, and appetite suppressants in general, should be prescribed with great caution in patients with a history of depression or suicidal attempts, while in patients with new onset of depression without other apparent precipitants, immediate discontinuation of GLP-1 receptor agonists should be considered,” wrote Dr. Salvo and Dr. Faillie. 

Outside experts also weighed in on the study in a statement from the UK nonprofit Science Media Centre. 

The paper presents, “at best, weak evidence of an association between semaglutide and suicidality,” Ian Douglas, PhD, professor of pharmacoepidemiology, London School of Hygiene & Tropical Medicine, United Kingdom, said in the statement. “Signal detection studies in pharmacovigilance databases are good for generating hypotheses but are not suitable for assessing whether there is a causal association between a drug and an outcome.”

Stephen Evans, MSc, emeritus professor of pharmacoepidemiology, London School of Hygiene & Tropical Medicine, cautioned that the study has “major limitations.”

“This paper is based just on spontaneous reports which are sent to regulatory authorities in the country of the person reporting a suspected adverse reaction. These are sent by health professionals and patients to authorities, but are very subject to bias, including effects of media reporting. The evidence is extremely weak for a genuine effect in this instance,” Mr. Evans said. 

The study had no specific funding. Dr. Schoretsanitis reported receiving personal fees from HLS, Dexcel, Saladax, and Thermo Fisher outside the submitted work. Dr. Salvo and Dr. Faillie have no conflicts of interest. Dr. Douglas has received research grants from GSK and AstraZeneca. Mr. Evans has no conflicts of interest. 
 

A version of this article appeared on Medscape.com.

A new analysis has detected a signal of suicidal ideation associated with the glucagon-like peptide 1 receptor agonist (GLP-1 RA) semaglutide, especially among individuals concurrently using antidepressants or benzodiazepines. 

However, the investigators and outside experts urge caution in drawing any firm conclusions based on the study’s observations. 

“Clinicians should not interpret these results as proof of causal relationship between suicidal ideation and semaglutide, as our pharmacovigilance study showed an association between the use of semaglutide and reports of suicidal ideation,” study investigator Georgios Schoretsanitis, MD, PhD, Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, New York, told this news organization.

Nonetheless, “physicians prescribing semaglutide should inform their patients about the medications’ risks and assess the psychiatric history and evaluate the mental state of patients before starting treatment with semaglutide,” Dr. Schoretsanitis said. 

“For patients with history of mental disorders or suicidal ideation/behaviors/attempts, physicians should be cautious and regularly monitor their mental state while taking semaglutide. If needed, the treating physician should involve different specialists, including a psychiatrist and/or clinical psychologists,” he added. 

The study was published online on August 20 in JAMA Network Open. 
 

Emerging Concerns

GLP-1 RAs are increasingly prescribed not only for type 2 diabetes but also for weight loss. However, concerns have emerged about a potential association with suicidality, which has prompted a closer look by regulators in the United States and Europe. 

Dr. Schoretsanitis and colleagues evaluated potential signals of suicidality related to semaglutide and liraglutide using data from global World Health Organization database of suspected adverse drug reactions (ADRs). 

They conducted sensitivity analyses including patients with co-reported use of antidepressants and benzodiazepines and using dapagliflozin, metformin, and orlistat as comparators. 

Between November 2000 and August 2023, there were 107 cases of suicidal and/or self-injurious ADRs reported with semaglutide (median age, 48 years; 55% women) and 162 reported with liraglutide (median age 47 years; 61% women). 

The researchers noted that a “significant disproportionality” signal emerged for semaglutide-associated suicidal ideation (reporting odds ratio [ROR], 1.45), when compared with comparator drugs. 

This signal remained significant in sensitivity analyses that included patients on concurrent antidepressants (ROR, 4.45) and benzodiazepines (ROR, 4.07), “suggesting that people with anxiety and depressive disorders may be at higher probability of reporting suicidal ideation when medicated with semaglutide,” the authors wrote. 

No significant disproportionality signal was detected for liraglutide regarding suicidal ideation (ROR, 1.04). 

However, the authors noted that pooled data from previous phase 2 and 3 trials on liraglutide vs placebo for weight management identified a potential risk for suicidal ideation, with nine of 3384 participants in the liraglutide group vs two of 1941 in the placebo group reporting suicidal ideation or behavior during the trial (0.27% vs 0.10%). 
 

More Research Needed 

GLP-1 RAs “should be used cautiously until further data are available on this topic,” Dr. Schoretsanitis said. 

“Further real-world studies should investigate the risk of suicidal ideation or behavior in people treated with these drugs in every-day clinical practice. We categorically discourage off-label use of GLP1-RA and without any medical supervision,” he added.

The coauthors of an invited commentary published with the study note that between 2020 and 2023, GLP-1 RA use rose 594% in younger people, particularly in women.

This “timely and well-conducted study” by Dr. Schoretsanitis and colleagues adds “an important piece to the very relevant safety issue” related to GLP-1 RAs, wrote Francesco Salvo, MD, PhD, with Université de Bordeaux, and Jean-Luc Faillie, MD, PhD, with Université de Montpellier, both in France. 

Pending further studies, the position of the US Food and Drug Administration (FDA) recommending caution “continues to be reasonable. Whatever the cause, depression or suicidality are rare but extremely severe events and need to be prevented and managed as much as possible. 

“Waiting for more precise data, GPL-1 receptor agonists, and appetite suppressants in general, should be prescribed with great caution in patients with a history of depression or suicidal attempts, while in patients with new onset of depression without other apparent precipitants, immediate discontinuation of GLP-1 receptor agonists should be considered,” wrote Dr. Salvo and Dr. Faillie. 

Outside experts also weighed in on the study in a statement from the UK nonprofit Science Media Centre. 

The paper presents, “at best, weak evidence of an association between semaglutide and suicidality,” Ian Douglas, PhD, professor of pharmacoepidemiology, London School of Hygiene & Tropical Medicine, United Kingdom, said in the statement. “Signal detection studies in pharmacovigilance databases are good for generating hypotheses but are not suitable for assessing whether there is a causal association between a drug and an outcome.”

Stephen Evans, MSc, emeritus professor of pharmacoepidemiology, London School of Hygiene & Tropical Medicine, cautioned that the study has “major limitations.”

“This paper is based just on spontaneous reports which are sent to regulatory authorities in the country of the person reporting a suspected adverse reaction. These are sent by health professionals and patients to authorities, but are very subject to bias, including effects of media reporting. The evidence is extremely weak for a genuine effect in this instance,” Mr. Evans said. 

The study had no specific funding. Dr. Schoretsanitis reported receiving personal fees from HLS, Dexcel, Saladax, and Thermo Fisher outside the submitted work. Dr. Salvo and Dr. Faillie have no conflicts of interest. Dr. Douglas has received research grants from GSK and AstraZeneca. Mr. Evans has no conflicts of interest. 
 

A version of this article appeared on Medscape.com.

Gary* is a 60-year-old race car driver with a history of insulin resistance, elevated cholesterol, and severe reflux. His wife sent him to me when his snoring became so loud and “violent” that she could no longer sleep in the same bedroom. 

She was desperate to help him lose weight in a sustained fashion. All his previous efforts were short-lived due to his self-described pizza and burger addiction. At 5 ft 9 in and 180 lb, his body mass index (BMI) was approximately 26.5 (normal is 18.5-24.9). 

On exam, his arms and legs were relatively thin, but he had a hard, protuberant belly. Given his body habits, comorbidities, and family history of early heart disease, I was worried that his weight would eventually become life-threatening. Solely on the basis of BMI criteria, however, he is not considered to be at high risk. 

This begs the question, are we relying too much on BMI and ignoring central adiposity (ie, belly fat) and comorbid conditions when identifying at-risk patients?

The European Association for the Study of Obesity (EASO) argues exactly this point in its new guidelines published in July 2024. Titled “A New Framework for the Diagnosis, Staging, and Management of Obesity in Adults,” the guidelines assert that obesity should be redefined as a chronic and relapsing adiposity-based disease which may start off as asymptomatic but often becomes life-threatening. 

The guidelines further argue that BMI does not appropriately predict cardiometabolic risk in patients with BMI < 35. Instead, in such patients we should incorporate the use of waist-to-height ratios to reflect the potentially deleterious presence of increased visceral fat. It expands the definition of high-risk patients to include those with BMI > 25 and a waist-to-height ratio > 0.5.

It also suggests that DEXA (dual-energy x-ray absorptiometry) or bioimpedance testing be used when BMI results are ambiguous. The European guidelines recommend considering screening more routinely for eating disorders (with psychometric testing) and depression. The guidelines highlight the importance of long-term goals and of physical activity, nutrition, and psychological support in addition to pharmaceutical treatments.

On the basis of these new guidelines, I attempted to start Gary on Wegovy (semaglutide) along with sending him to a health coach, dietitian, and trainer. Unfortunately, despite documenting a waist-to-height ratio of > 0.6 and elevated fat percentage of just over 30% using bioimpedance, my prior authorization and appeal were summarily rejected by his insurance provider. 

In the United States, pharmacotherapy is typically approved for patients with a BMI of 27 or higher with a comorbidity (like high blood pressure or elevated cholesterol levels) or a BMI over 30. This clearly highlights the need for updated criteria for weight loss medication. Thank goodness for compounded semaglutide to fill this void until the medical world catches up with the EASO guidelines. 

Now on compounded semaglutide, Gary has lost 15 lb. His once rounded belly is nearly flat, and he has a normal waist-to-height ratio. While his dietary choices still leave something to be desired, his portion sizes are much smaller. His snoring has improved considerably. His most recent bioimpedance testing showed a reduced fat percentage of just under 25%.

*Patient’s name has been changed 

Caroline Messer, MD, is Clinical Assistant Professor, Mount Sinai School of Medicine, and Associate Professor, Hofstra School of Medicine, both in New York. She has disclosed no relevant financial relationships.

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

Gary* is a 60-year-old race car driver with a history of insulin resistance, elevated cholesterol, and severe reflux. His wife sent him to me when his snoring became so loud and “violent” that she could no longer sleep in the same bedroom. 

She was desperate to help him lose weight in a sustained fashion. All his previous efforts were short-lived due to his self-described pizza and burger addiction. At 5 ft 9 in and 180 lb, his body mass index (BMI) was approximately 26.5 (normal is 18.5-24.9). 

On exam, his arms and legs were relatively thin, but he had a hard, protuberant belly. Given his body habits, comorbidities, and family history of early heart disease, I was worried that his weight would eventually become life-threatening. Solely on the basis of BMI criteria, however, he is not considered to be at high risk. 

This begs the question, are we relying too much on BMI and ignoring central adiposity (ie, belly fat) and comorbid conditions when identifying at-risk patients?

The European Association for the Study of Obesity (EASO) argues exactly this point in its new guidelines published in July 2024. Titled “A New Framework for the Diagnosis, Staging, and Management of Obesity in Adults,” the guidelines assert that obesity should be redefined as a chronic and relapsing adiposity-based disease which may start off as asymptomatic but often becomes life-threatening. 

The guidelines further argue that BMI does not appropriately predict cardiometabolic risk in patients with BMI < 35. Instead, in such patients we should incorporate the use of waist-to-height ratios to reflect the potentially deleterious presence of increased visceral fat. It expands the definition of high-risk patients to include those with BMI > 25 and a waist-to-height ratio > 0.5.

It also suggests that DEXA (dual-energy x-ray absorptiometry) or bioimpedance testing be used when BMI results are ambiguous. The European guidelines recommend considering screening more routinely for eating disorders (with psychometric testing) and depression. The guidelines highlight the importance of long-term goals and of physical activity, nutrition, and psychological support in addition to pharmaceutical treatments.

On the basis of these new guidelines, I attempted to start Gary on Wegovy (semaglutide) along with sending him to a health coach, dietitian, and trainer. Unfortunately, despite documenting a waist-to-height ratio of > 0.6 and elevated fat percentage of just over 30% using bioimpedance, my prior authorization and appeal were summarily rejected by his insurance provider. 

In the United States, pharmacotherapy is typically approved for patients with a BMI of 27 or higher with a comorbidity (like high blood pressure or elevated cholesterol levels) or a BMI over 30. This clearly highlights the need for updated criteria for weight loss medication. Thank goodness for compounded semaglutide to fill this void until the medical world catches up with the EASO guidelines. 

Now on compounded semaglutide, Gary has lost 15 lb. His once rounded belly is nearly flat, and he has a normal waist-to-height ratio. While his dietary choices still leave something to be desired, his portion sizes are much smaller. His snoring has improved considerably. His most recent bioimpedance testing showed a reduced fat percentage of just under 25%.

*Patient’s name has been changed 

Caroline Messer, MD, is Clinical Assistant Professor, Mount Sinai School of Medicine, and Associate Professor, Hofstra School of Medicine, both in New York. She has disclosed no relevant financial relationships.

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

Gary* is a 60-year-old race car driver with a history of insulin resistance, elevated cholesterol, and severe reflux. His wife sent him to me when his snoring became so loud and “violent” that she could no longer sleep in the same bedroom. 

She was desperate to help him lose weight in a sustained fashion. All his previous efforts were short-lived due to his self-described pizza and burger addiction. At 5 ft 9 in and 180 lb, his body mass index (BMI) was approximately 26.5 (normal is 18.5-24.9). 

On exam, his arms and legs were relatively thin, but he had a hard, protuberant belly. Given his body habits, comorbidities, and family history of early heart disease, I was worried that his weight would eventually become life-threatening. Solely on the basis of BMI criteria, however, he is not considered to be at high risk. 

This begs the question, are we relying too much on BMI and ignoring central adiposity (ie, belly fat) and comorbid conditions when identifying at-risk patients?

The European Association for the Study of Obesity (EASO) argues exactly this point in its new guidelines published in July 2024. Titled “A New Framework for the Diagnosis, Staging, and Management of Obesity in Adults,” the guidelines assert that obesity should be redefined as a chronic and relapsing adiposity-based disease which may start off as asymptomatic but often becomes life-threatening. 

The guidelines further argue that BMI does not appropriately predict cardiometabolic risk in patients with BMI < 35. Instead, in such patients we should incorporate the use of waist-to-height ratios to reflect the potentially deleterious presence of increased visceral fat. It expands the definition of high-risk patients to include those with BMI > 25 and a waist-to-height ratio > 0.5.

It also suggests that DEXA (dual-energy x-ray absorptiometry) or bioimpedance testing be used when BMI results are ambiguous. The European guidelines recommend considering screening more routinely for eating disorders (with psychometric testing) and depression. The guidelines highlight the importance of long-term goals and of physical activity, nutrition, and psychological support in addition to pharmaceutical treatments.

On the basis of these new guidelines, I attempted to start Gary on Wegovy (semaglutide) along with sending him to a health coach, dietitian, and trainer. Unfortunately, despite documenting a waist-to-height ratio of > 0.6 and elevated fat percentage of just over 30% using bioimpedance, my prior authorization and appeal were summarily rejected by his insurance provider. 

In the United States, pharmacotherapy is typically approved for patients with a BMI of 27 or higher with a comorbidity (like high blood pressure or elevated cholesterol levels) or a BMI over 30. This clearly highlights the need for updated criteria for weight loss medication. Thank goodness for compounded semaglutide to fill this void until the medical world catches up with the EASO guidelines. 

Now on compounded semaglutide, Gary has lost 15 lb. His once rounded belly is nearly flat, and he has a normal waist-to-height ratio. While his dietary choices still leave something to be desired, his portion sizes are much smaller. His snoring has improved considerably. His most recent bioimpedance testing showed a reduced fat percentage of just under 25%.

*Patient’s name has been changed 

Caroline Messer, MD, is Clinical Assistant Professor, Mount Sinai School of Medicine, and Associate Professor, Hofstra School of Medicine, both in New York. She has disclosed no relevant financial relationships.

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

What if a drug could help you live a longer, healthier life?

Scientists at the University of Connecticut are working on it. In a new study in Cell Metabolism, researchers described how to target specific cells to extend the lifespan and improve the health of mice late in life.

The study builds on a growing body of research, mostly in animals, testing interventions to slow aging and prolong health span, the length of time that one is not just alive but also healthy.

“Aging is the most important risk factor for every disease that we deal with in adult human beings,” said cardiologist Douglas Vaughan, MD, director of the Potocsnak Longevity Institute at Northwestern University’s Feinberg School of Medicine, Chicago. (Dr. Vaughan was not involved in the new study.) “So the big hypothesis is: If we could slow down aging just a little bit, we can push back the onset of disease.”

As we age, our cells wear out. It’s called cellular senescence — a state of irreversible cell cycle arrest — and it’s increasingly recognized as a key contributor to aging.

Senescent cells — or “zombie cells” — secrete harmful substances that disrupt tissue functioning. They’ve been linked to chronic inflammation, tissue damage, and the development of age-related diseases.

Senescence can be characterized by the accumulation of cells with high levels of specific markers like p21, or p21^high cells. Almost any cell can become a p21^high cell, and they accumulate with age, said Ming Xu, PhD, a professor at the UConn Center on Aging, UConn Health, Farmington, Connecticut, who led the study.

By targeting and eliminating p21^high senescent cells, Dr. Xu hopes to develop novel therapies that might help people live longer and enjoy more years in good health.

Such a treatment could be ready for human trials in 2-5 years, Dr. Xu said.
 

What the Researchers Did

Xu and colleagues used genetic engineering to eliminate p21^high cells in mice, introducing into their genome something they describe as an inducible “suicide gene.” Giving the mice a certain drug (a low dose of tamoxifen) activated the suicide gene in all p21^high cells, causing them to die. Administering this treatment once a month, from age 20 months (older age) until the end of life, significantly extended the rodents’ lifespan, reduced inflammation, and decreased gene activity linked to aging.

Treated mice lived, on average, for 33 months — 3 months longer than the untreated mice. The oldest treated mouse lived to 43 months — roughly 130 in human years.

But the treated mice didn’t just live longer; they were also healthier. In humans, walking speed and grip strength can be clues of overall health and vitality. The old, treated mice were able to walk faster and grip objects with greater strength than untreated mice of the same age.

Dr. Xu’s lab is now testing drugs that target p21^high cells in hopes of finding one that would work in humans. Leveraging immunotherapy technology to target these cells could be another option, Dr. Xu said.

The team also plans to test whether eliminating p21^high cells could prevent or alleviate diabetes or Alzheimer’s disease.
 

Challenges and Criticisms

The research provides “important evidence that targeting senescence and the molecular components of that pathway might provide some benefit in the long term,” Dr. Vaughan said.

But killing senescent cells could come with downsides.

“Senescence protects us from hyperproliferative responses,” potentially blocking cells from becoming malignant, Dr. Vaughan said. “There’s this effect on aging that is desirable, but at the same time, you may enhance your risk of cancer or malignancy or excessive proliferation in some cells.”

And of course, we don’t necessarily need drugs to prolong healthy life, Dr. Vaughan pointed out.

For many people, a long healthy life is already within reach. Humans live longer on average than they used to, and simple lifestyle choices — nourishing your body well, staying active, and maintaining a healthy weight — can increase one’s chances of good health.

The most consistently demonstrated intervention for extending lifespan “in almost every animal species is caloric restriction,” Dr. Vaughan said. (Dr. Xu’s team is also investigating whether fasting and exercise can lead to a decrease in p21^high cells.)

As for brain health, Dr. Vaughan and colleagues at Northwestern are studying “super agers,” people who are cognitively intact into their 90s.

“The one single thing that they found that contributes to that process, and contributes to that success, is really a social network and human bonds and interaction,” Dr. Vaughan said.

A version of this article appeared on Medscape.com.

What if a drug could help you live a longer, healthier life?

Scientists at the University of Connecticut are working on it. In a new study in Cell Metabolism, researchers described how to target specific cells to extend the lifespan and improve the health of mice late in life.

The study builds on a growing body of research, mostly in animals, testing interventions to slow aging and prolong health span, the length of time that one is not just alive but also healthy.

“Aging is the most important risk factor for every disease that we deal with in adult human beings,” said cardiologist Douglas Vaughan, MD, director of the Potocsnak Longevity Institute at Northwestern University’s Feinberg School of Medicine, Chicago. (Dr. Vaughan was not involved in the new study.) “So the big hypothesis is: If we could slow down aging just a little bit, we can push back the onset of disease.”

As we age, our cells wear out. It’s called cellular senescence — a state of irreversible cell cycle arrest — and it’s increasingly recognized as a key contributor to aging.

Senescent cells — or “zombie cells” — secrete harmful substances that disrupt tissue functioning. They’ve been linked to chronic inflammation, tissue damage, and the development of age-related diseases.

Senescence can be characterized by the accumulation of cells with high levels of specific markers like p21, or p21^high cells. Almost any cell can become a p21^high cell, and they accumulate with age, said Ming Xu, PhD, a professor at the UConn Center on Aging, UConn Health, Farmington, Connecticut, who led the study.

By targeting and eliminating p21^high senescent cells, Dr. Xu hopes to develop novel therapies that might help people live longer and enjoy more years in good health.

Such a treatment could be ready for human trials in 2-5 years, Dr. Xu said.
 

What the Researchers Did

Xu and colleagues used genetic engineering to eliminate p21^high cells in mice, introducing into their genome something they describe as an inducible “suicide gene.” Giving the mice a certain drug (a low dose of tamoxifen) activated the suicide gene in all p21^high cells, causing them to die. Administering this treatment once a month, from age 20 months (older age) until the end of life, significantly extended the rodents’ lifespan, reduced inflammation, and decreased gene activity linked to aging.

Treated mice lived, on average, for 33 months — 3 months longer than the untreated mice. The oldest treated mouse lived to 43 months — roughly 130 in human years.

But the treated mice didn’t just live longer; they were also healthier. In humans, walking speed and grip strength can be clues of overall health and vitality. The old, treated mice were able to walk faster and grip objects with greater strength than untreated mice of the same age.

Dr. Xu’s lab is now testing drugs that target p21^high cells in hopes of finding one that would work in humans. Leveraging immunotherapy technology to target these cells could be another option, Dr. Xu said.

The team also plans to test whether eliminating p21^high cells could prevent or alleviate diabetes or Alzheimer’s disease.
 

Challenges and Criticisms

The research provides “important evidence that targeting senescence and the molecular components of that pathway might provide some benefit in the long term,” Dr. Vaughan said.

But killing senescent cells could come with downsides.

“Senescence protects us from hyperproliferative responses,” potentially blocking cells from becoming malignant, Dr. Vaughan said. “There’s this effect on aging that is desirable, but at the same time, you may enhance your risk of cancer or malignancy or excessive proliferation in some cells.”

And of course, we don’t necessarily need drugs to prolong healthy life, Dr. Vaughan pointed out.

For many people, a long healthy life is already within reach. Humans live longer on average than they used to, and simple lifestyle choices — nourishing your body well, staying active, and maintaining a healthy weight — can increase one’s chances of good health.

The most consistently demonstrated intervention for extending lifespan “in almost every animal species is caloric restriction,” Dr. Vaughan said. (Dr. Xu’s team is also investigating whether fasting and exercise can lead to a decrease in p21^high cells.)

As for brain health, Dr. Vaughan and colleagues at Northwestern are studying “super agers,” people who are cognitively intact into their 90s.

“The one single thing that they found that contributes to that process, and contributes to that success, is really a social network and human bonds and interaction,” Dr. Vaughan said.

A version of this article appeared on Medscape.com.

What if a drug could help you live a longer, healthier life?

Scientists at the University of Connecticut are working on it. In a new study in Cell Metabolism, researchers described how to target specific cells to extend the lifespan and improve the health of mice late in life.

The study builds on a growing body of research, mostly in animals, testing interventions to slow aging and prolong health span, the length of time that one is not just alive but also healthy.

“Aging is the most important risk factor for every disease that we deal with in adult human beings,” said cardiologist Douglas Vaughan, MD, director of the Potocsnak Longevity Institute at Northwestern University’s Feinberg School of Medicine, Chicago. (Dr. Vaughan was not involved in the new study.) “So the big hypothesis is: If we could slow down aging just a little bit, we can push back the onset of disease.”

As we age, our cells wear out. It’s called cellular senescence — a state of irreversible cell cycle arrest — and it’s increasingly recognized as a key contributor to aging.

Senescent cells — or “zombie cells” — secrete harmful substances that disrupt tissue functioning. They’ve been linked to chronic inflammation, tissue damage, and the development of age-related diseases.

Senescence can be characterized by the accumulation of cells with high levels of specific markers like p21, or p21^high cells. Almost any cell can become a p21^high cell, and they accumulate with age, said Ming Xu, PhD, a professor at the UConn Center on Aging, UConn Health, Farmington, Connecticut, who led the study.

By targeting and eliminating p21^high senescent cells, Dr. Xu hopes to develop novel therapies that might help people live longer and enjoy more years in good health.

Such a treatment could be ready for human trials in 2-5 years, Dr. Xu said.
 

What the Researchers Did

Xu and colleagues used genetic engineering to eliminate p21^high cells in mice, introducing into their genome something they describe as an inducible “suicide gene.” Giving the mice a certain drug (a low dose of tamoxifen) activated the suicide gene in all p21^high cells, causing them to die. Administering this treatment once a month, from age 20 months (older age) until the end of life, significantly extended the rodents’ lifespan, reduced inflammation, and decreased gene activity linked to aging.

Treated mice lived, on average, for 33 months — 3 months longer than the untreated mice. The oldest treated mouse lived to 43 months — roughly 130 in human years.

But the treated mice didn’t just live longer; they were also healthier. In humans, walking speed and grip strength can be clues of overall health and vitality. The old, treated mice were able to walk faster and grip objects with greater strength than untreated mice of the same age.

Dr. Xu’s lab is now testing drugs that target p21^high cells in hopes of finding one that would work in humans. Leveraging immunotherapy technology to target these cells could be another option, Dr. Xu said.

The team also plans to test whether eliminating p21^high cells could prevent or alleviate diabetes or Alzheimer’s disease.
 

Challenges and Criticisms

The research provides “important evidence that targeting senescence and the molecular components of that pathway might provide some benefit in the long term,” Dr. Vaughan said.

But killing senescent cells could come with downsides.

“Senescence protects us from hyperproliferative responses,” potentially blocking cells from becoming malignant, Dr. Vaughan said. “There’s this effect on aging that is desirable, but at the same time, you may enhance your risk of cancer or malignancy or excessive proliferation in some cells.”

And of course, we don’t necessarily need drugs to prolong healthy life, Dr. Vaughan pointed out.

For many people, a long healthy life is already within reach. Humans live longer on average than they used to, and simple lifestyle choices — nourishing your body well, staying active, and maintaining a healthy weight — can increase one’s chances of good health.

The most consistently demonstrated intervention for extending lifespan “in almost every animal species is caloric restriction,” Dr. Vaughan said. (Dr. Xu’s team is also investigating whether fasting and exercise can lead to a decrease in p21^high cells.)

As for brain health, Dr. Vaughan and colleagues at Northwestern are studying “super agers,” people who are cognitively intact into their 90s.

“The one single thing that they found that contributes to that process, and contributes to that success, is really a social network and human bonds and interaction,” Dr. Vaughan said.

A version of this article appeared on Medscape.com.

A multicomponent nonpharmaceutical intervention improves sleep in people with dementia living at home, early results of a new phase 3 randomized controlled trial (RCT) show.

The benefits of the intervention — called DREAMS-START — were sustained at 8 months and extended to caregivers, the study found.

“We’re pleased with our results. We think that we were able to deliver it successfully and to a high rate of fidelity,” said study investigator Penny Rapaport, PhD, Division of Psychiatry, University College London, England.

The findings were presented at the Alzheimer’s Association International Conference (AAIC) 2024.
 

Sustained, Long-Term Effect

Sleep disturbances are very common in dementia. About 26% of people with all types of dementia will experience sleep disturbances, and that rate is higher in certain dementia subtypes, such as dementia with Lewy bodies, said Dr. Rapaport.

Such disturbances are distressing for people living with dementia as well as for those supporting them, she added. They’re “often the thing that will lead to people transitioning and moving into a care home.”

Dr. Rapaport noted there has not been full RCT evidence that any nonpharmacologic interventions or light-based treatments are effective in improving sleep disturbances.

Medications such as antipsychotics and benzodiazepines aren’t recommended as first-line treatment in people with dementia “because often these can be harmful,” she said.

The study recruited 377 dyads of people living with dementia (mean age, 79.4 years) and their caregivers from 12 national health service sites across England. “We were able to recruit an ethnically diverse sample from a broad socioeconomic background,” said Dr. Rapaport.

Researchers allocated the dyads to the intervention or to a treatment as usual group.

About 92% of participants were included in the intention-to-treat analysis at 8 months, which was the primary time point.

The intervention consists of six 1-hour interactive sessions that are “personalized and tailored to individual goals and needs,” said Dr. Rapaport. It was delivered by supervised, trained graduates, not clinicians.

The sessions focused on components of sleep hygiene (healthy habits, behaviors, and environments); activity and exercise; a tailored sleep routine; strategies to manage distress; natural and artificial light; and relaxation. A whole session was devoted to supporting sleep of caregivers.

The trial included masked outcome assessments, “so the people collecting the data were blinded to the intervention group,” said Dr. Rapaport.

The primary outcome was the Sleep Disorders Inventory (SDI) score. The SDI is a questionnaire about frequency and severity of sleep-disturbed behaviors completed by caregivers; a higher score indicates a worse outcome. The study adjusted for baseline SDI score and study site.

The adjusted mean difference between groups on the SDI was −4.7 points (95% confidence interval [CI], −7.65 to −1.74; P = .002) at 8 months.

The minimal clinically important difference on the SDI is a 4-point change, noted Dr. Rapaport.

The adjusted mean difference on the SDI at 4 months (a secondary outcome) was −4.4 points (95% CI, −7.3 to −1.5; P = .003).

Referring to illustrative graphs, Dr. Rapaport said that SDI scores decreased at both 4 and 8 months. “You can see statistically, there’s a significant difference between groups at both time points,” she said.

“We saw a sustained effect, so not just immediately after the intervention, but afterwards at 8 months.”

As for other secondary outcomes, the study found a significant reduction in neuropsychiatric symptoms among people with dementia at 8 months in the intervention arm relative to the control arm.

In addition, sleep and anxiety significantly improved among caregivers after 8 months. This shows “a picture of things getting better for the person with dementia, and the person who’s caring for them,” said Dr. Rapaport.

She noted the good adherence rate, with almost 83% of people in the intervention arm completing four or more sessions.

Fidelity to the intervention (ie, the extent to which it is implemented as intended) was also high, “so we feel it was delivered well,” said Dr. Rapaport.

Researchers also carried out a health economics analysis and looked at strategies for implementation of the program, but Dr. Rapaport did not discuss those results.
 

Encouraging Findings

Commenting for this news organization, Alex Bahar-Fuchs, PhD, Faculty of Health, School of Psychology, Deakin University, Victoria, Australia, who co-chaired the session featuring the research, said the findings of this “well-powered” RCT are “encouraging,” both for the primary outcome of sleep quality and for some of the secondary outcomes for the care-partner.

“The study adds to the growing evidence behind several nonpharmacological treatment approaches for cognitive and neuropsychiatric symptoms of people with dementia,” he said. 

The results “offer some hope for the treatment of a common disturbance in people with dementia which is associated with poorer outcomes and increased caregiver burden,” he added. 

An important area for further work would be to incorporate more objective measures of sleep quality, said Dr. Bahar-Fuchs.

Because the primary outcome was measured using a self-report questionnaire (the SDI) completed by care-partners, and because the intervention arm could not be blinded, “it remains possible that some detection bias may have affected the study findings,” said Dr. Bahar-Fuchs.

He said he would like to see the research extended to include an active control condition “to be able to better ascertain treatment mechanisms.”

The study was supported by the National Institute of Health and Care Research. Dr. Rapaport and Dr. Bahar-Fuchs reported no relevant conflicts of interest.

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

A multicomponent nonpharmaceutical intervention improves sleep in people with dementia living at home, early results of a new phase 3 randomized controlled trial (RCT) show.

The benefits of the intervention — called DREAMS-START — were sustained at 8 months and extended to caregivers, the study found.

“We’re pleased with our results. We think that we were able to deliver it successfully and to a high rate of fidelity,” said study investigator Penny Rapaport, PhD, Division of Psychiatry, University College London, England.

The findings were presented at the Alzheimer’s Association International Conference (AAIC) 2024.
 

Sustained, Long-Term Effect

Sleep disturbances are very common in dementia. About 26% of people with all types of dementia will experience sleep disturbances, and that rate is higher in certain dementia subtypes, such as dementia with Lewy bodies, said Dr. Rapaport.

Such disturbances are distressing for people living with dementia as well as for those supporting them, she added. They’re “often the thing that will lead to people transitioning and moving into a care home.”

Dr. Rapaport noted there has not been full RCT evidence that any nonpharmacologic interventions or light-based treatments are effective in improving sleep disturbances.

Medications such as antipsychotics and benzodiazepines aren’t recommended as first-line treatment in people with dementia “because often these can be harmful,” she said.

The study recruited 377 dyads of people living with dementia (mean age, 79.4 years) and their caregivers from 12 national health service sites across England. “We were able to recruit an ethnically diverse sample from a broad socioeconomic background,” said Dr. Rapaport.

Researchers allocated the dyads to the intervention or to a treatment as usual group.

About 92% of participants were included in the intention-to-treat analysis at 8 months, which was the primary time point.

The intervention consists of six 1-hour interactive sessions that are “personalized and tailored to individual goals and needs,” said Dr. Rapaport. It was delivered by supervised, trained graduates, not clinicians.

The sessions focused on components of sleep hygiene (healthy habits, behaviors, and environments); activity and exercise; a tailored sleep routine; strategies to manage distress; natural and artificial light; and relaxation. A whole session was devoted to supporting sleep of caregivers.

The trial included masked outcome assessments, “so the people collecting the data were blinded to the intervention group,” said Dr. Rapaport.

The primary outcome was the Sleep Disorders Inventory (SDI) score. The SDI is a questionnaire about frequency and severity of sleep-disturbed behaviors completed by caregivers; a higher score indicates a worse outcome. The study adjusted for baseline SDI score and study site.

The adjusted mean difference between groups on the SDI was −4.7 points (95% confidence interval [CI], −7.65 to −1.74; P = .002) at 8 months.

The minimal clinically important difference on the SDI is a 4-point change, noted Dr. Rapaport.

The adjusted mean difference on the SDI at 4 months (a secondary outcome) was −4.4 points (95% CI, −7.3 to −1.5; P = .003).

Referring to illustrative graphs, Dr. Rapaport said that SDI scores decreased at both 4 and 8 months. “You can see statistically, there’s a significant difference between groups at both time points,” she said.

“We saw a sustained effect, so not just immediately after the intervention, but afterwards at 8 months.”

As for other secondary outcomes, the study found a significant reduction in neuropsychiatric symptoms among people with dementia at 8 months in the intervention arm relative to the control arm.

In addition, sleep and anxiety significantly improved among caregivers after 8 months. This shows “a picture of things getting better for the person with dementia, and the person who’s caring for them,” said Dr. Rapaport.

She noted the good adherence rate, with almost 83% of people in the intervention arm completing four or more sessions.

Fidelity to the intervention (ie, the extent to which it is implemented as intended) was also high, “so we feel it was delivered well,” said Dr. Rapaport.

Researchers also carried out a health economics analysis and looked at strategies for implementation of the program, but Dr. Rapaport did not discuss those results.
 

Encouraging Findings

Commenting for this news organization, Alex Bahar-Fuchs, PhD, Faculty of Health, School of Psychology, Deakin University, Victoria, Australia, who co-chaired the session featuring the research, said the findings of this “well-powered” RCT are “encouraging,” both for the primary outcome of sleep quality and for some of the secondary outcomes for the care-partner.

“The study adds to the growing evidence behind several nonpharmacological treatment approaches for cognitive and neuropsychiatric symptoms of people with dementia,” he said. 

The results “offer some hope for the treatment of a common disturbance in people with dementia which is associated with poorer outcomes and increased caregiver burden,” he added. 

An important area for further work would be to incorporate more objective measures of sleep quality, said Dr. Bahar-Fuchs.

Because the primary outcome was measured using a self-report questionnaire (the SDI) completed by care-partners, and because the intervention arm could not be blinded, “it remains possible that some detection bias may have affected the study findings,” said Dr. Bahar-Fuchs.

He said he would like to see the research extended to include an active control condition “to be able to better ascertain treatment mechanisms.”

The study was supported by the National Institute of Health and Care Research. Dr. Rapaport and Dr. Bahar-Fuchs reported no relevant conflicts of interest.

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

A multicomponent nonpharmaceutical intervention improves sleep in people with dementia living at home, early results of a new phase 3 randomized controlled trial (RCT) show.

The benefits of the intervention — called DREAMS-START — were sustained at 8 months and extended to caregivers, the study found.

“We’re pleased with our results. We think that we were able to deliver it successfully and to a high rate of fidelity,” said study investigator Penny Rapaport, PhD, Division of Psychiatry, University College London, England.

The findings were presented at the Alzheimer’s Association International Conference (AAIC) 2024.
 

Sustained, Long-Term Effect

Sleep disturbances are very common in dementia. About 26% of people with all types of dementia will experience sleep disturbances, and that rate is higher in certain dementia subtypes, such as dementia with Lewy bodies, said Dr. Rapaport.

Such disturbances are distressing for people living with dementia as well as for those supporting them, she added. They’re “often the thing that will lead to people transitioning and moving into a care home.”

Dr. Rapaport noted there has not been full RCT evidence that any nonpharmacologic interventions or light-based treatments are effective in improving sleep disturbances.

Medications such as antipsychotics and benzodiazepines aren’t recommended as first-line treatment in people with dementia “because often these can be harmful,” she said.

The study recruited 377 dyads of people living with dementia (mean age, 79.4 years) and their caregivers from 12 national health service sites across England. “We were able to recruit an ethnically diverse sample from a broad socioeconomic background,” said Dr. Rapaport.

Researchers allocated the dyads to the intervention or to a treatment as usual group.

About 92% of participants were included in the intention-to-treat analysis at 8 months, which was the primary time point.

The intervention consists of six 1-hour interactive sessions that are “personalized and tailored to individual goals and needs,” said Dr. Rapaport. It was delivered by supervised, trained graduates, not clinicians.

The sessions focused on components of sleep hygiene (healthy habits, behaviors, and environments); activity and exercise; a tailored sleep routine; strategies to manage distress; natural and artificial light; and relaxation. A whole session was devoted to supporting sleep of caregivers.

The trial included masked outcome assessments, “so the people collecting the data were blinded to the intervention group,” said Dr. Rapaport.

The primary outcome was the Sleep Disorders Inventory (SDI) score. The SDI is a questionnaire about frequency and severity of sleep-disturbed behaviors completed by caregivers; a higher score indicates a worse outcome. The study adjusted for baseline SDI score and study site.

The adjusted mean difference between groups on the SDI was −4.7 points (95% confidence interval [CI], −7.65 to −1.74; P = .002) at 8 months.

The minimal clinically important difference on the SDI is a 4-point change, noted Dr. Rapaport.

The adjusted mean difference on the SDI at 4 months (a secondary outcome) was −4.4 points (95% CI, −7.3 to −1.5; P = .003).

Referring to illustrative graphs, Dr. Rapaport said that SDI scores decreased at both 4 and 8 months. “You can see statistically, there’s a significant difference between groups at both time points,” she said.

“We saw a sustained effect, so not just immediately after the intervention, but afterwards at 8 months.”

As for other secondary outcomes, the study found a significant reduction in neuropsychiatric symptoms among people with dementia at 8 months in the intervention arm relative to the control arm.

In addition, sleep and anxiety significantly improved among caregivers after 8 months. This shows “a picture of things getting better for the person with dementia, and the person who’s caring for them,” said Dr. Rapaport.

She noted the good adherence rate, with almost 83% of people in the intervention arm completing four or more sessions.

Fidelity to the intervention (ie, the extent to which it is implemented as intended) was also high, “so we feel it was delivered well,” said Dr. Rapaport.

Researchers also carried out a health economics analysis and looked at strategies for implementation of the program, but Dr. Rapaport did not discuss those results.
 

Encouraging Findings

Commenting for this news organization, Alex Bahar-Fuchs, PhD, Faculty of Health, School of Psychology, Deakin University, Victoria, Australia, who co-chaired the session featuring the research, said the findings of this “well-powered” RCT are “encouraging,” both for the primary outcome of sleep quality and for some of the secondary outcomes for the care-partner.

“The study adds to the growing evidence behind several nonpharmacological treatment approaches for cognitive and neuropsychiatric symptoms of people with dementia,” he said. 

The results “offer some hope for the treatment of a common disturbance in people with dementia which is associated with poorer outcomes and increased caregiver burden,” he added. 

An important area for further work would be to incorporate more objective measures of sleep quality, said Dr. Bahar-Fuchs.

Because the primary outcome was measured using a self-report questionnaire (the SDI) completed by care-partners, and because the intervention arm could not be blinded, “it remains possible that some detection bias may have affected the study findings,” said Dr. Bahar-Fuchs.

He said he would like to see the research extended to include an active control condition “to be able to better ascertain treatment mechanisms.”

The study was supported by the National Institute of Health and Care Research. Dr. Rapaport and Dr. Bahar-Fuchs reported no relevant conflicts of interest.

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

Semaglutide products sold online without a prescription may pose multiple risks to consumers, new research found.

Of six test purchases of semaglutide products offered online without a prescription, only three were actually received. The other three vendors demanded additional payment. Of the three delivered, one was potentially contaminated, and all three contained higher concentrations of semaglutide than indicated on the label, potentially resulting in an overdose.

“Semaglutide products are actively being sold without prescription by illegal online pharmacies, with vendors shipping unregistered and falsified products,” wrote Amir Reza Ashraf, PharmD, of the University of Pécs, Hungary, and colleagues in their paper, published online on August 2, 2024, in JAMA Network Open.

The study was conducted in July 2023, but its publication comes a week after the US Food and Drug Administration (FDA) issued an alert about dosing errors in compounded semaglutide, which typically does require a prescription.

Study coauthor Tim K. Mackey, PhD, told this news organization, “Compounding pharmacies are another element of this risk that has become more prominent now but arguably have more controls if prescribed appropriately, while the traditional ‘no-prescription’ online market still exists and will continue to evolve.”

Overall, said Dr. Mackey, professor of global health at the University of California San Diego and director of the Global Health Policy and Data Institute, “consumers take a huge risk when they seek to procure semaglutide outside of a legitimate physician-patient relationship and should only get semaglutide from a licensed and authorized pharmacy after discussing the risks versus benefits with their provider.”

He advises clinicians to actively discuss with their patients the risks associated with semaglutide and, specifically, the dangers of buying it online. “Clinicians can act as a primary information source for patient safety information by letting their patients know about these risks ... and also asking where patients get their medications in case they are concerned about reports of adverse events or other patient safety issues.”
 

Buyer Beware: Online Semaglutide Purchases Not as They Seem

The investigators began by searching online for websites advertising semaglutide without a prescription. They ordered products from six online vendors that showed up prominently in the searches. Of those, three offered prefilled 0.25 mg/dose semaglutide injection pens, while the other three sold vials of lyophilized semaglutide powder to be reconstituted to solution for injection. Prices for the smallest dose and quantity ranged from $113 to $360.

Only three of the ordered products — all vials — actually showed up. The advertised prefilled pens were all nondelivery scams, with requests for an extra payment of $650-$1200 purportedly to clear customs. This was confirmed as fraudulent by customs agencies, the authors noted.

The three vial products were received and assessed physically, of both the packaging and the actual product, by liquid chromatography-mass spectrometry to determine purity and peptide concentration, and microbiologically, to examine sterility.

Using a checklist from the International Pharmaceutical Federation, Dr. Ashraf and colleagues found “clear discrepancies in regulatory registration information, accurate labeling, and evidence products were likely unregistered or unlicensed.”

Quality testing showed that one sample had an elevated presence of endotoxin suggesting possible contamination. While all three actually did contain semaglutide, the measured content exceeded the labeled amount by 29%-39%, posing a risk that users could receive up to 39% more than intended per injection, “particularly concerning if a consumer has to reconstitute and self-inject,” Dr. Mackey noted.

At least one of these sites in this study, “semaspace.com,” was subsequently sent a warning letter by the FDA for unauthorized semaglutide sale, Mackey noted.

Unfortunately, he told this news organization, these dangers are likely to persist. “There is a strong market opportunity to introduce counterfeit and unauthorized versions of semaglutide. Counterfeiters will continue to innovate with where they sell products, what products they offer, and how they mislead consumers about the safety and legality of what they are offering online. We are likely just at the beginning of counterfeiting of semaglutide, and it is likely that these false products will become endemic in our supply chain.”

The research was supported by the Hungarian Scientific Research Fund. The authors had no further disclosures.
 

A version of this article appeared on Medscape.com.

Semaglutide products sold online without a prescription may pose multiple risks to consumers, new research found.

Of six test purchases of semaglutide products offered online without a prescription, only three were actually received. The other three vendors demanded additional payment. Of the three delivered, one was potentially contaminated, and all three contained higher concentrations of semaglutide than indicated on the label, potentially resulting in an overdose.

“Semaglutide products are actively being sold without prescription by illegal online pharmacies, with vendors shipping unregistered and falsified products,” wrote Amir Reza Ashraf, PharmD, of the University of Pécs, Hungary, and colleagues in their paper, published online on August 2, 2024, in JAMA Network Open.

The study was conducted in July 2023, but its publication comes a week after the US Food and Drug Administration (FDA) issued an alert about dosing errors in compounded semaglutide, which typically does require a prescription.

Study coauthor Tim K. Mackey, PhD, told this news organization, “Compounding pharmacies are another element of this risk that has become more prominent now but arguably have more controls if prescribed appropriately, while the traditional ‘no-prescription’ online market still exists and will continue to evolve.”

Overall, said Dr. Mackey, professor of global health at the University of California San Diego and director of the Global Health Policy and Data Institute, “consumers take a huge risk when they seek to procure semaglutide outside of a legitimate physician-patient relationship and should only get semaglutide from a licensed and authorized pharmacy after discussing the risks versus benefits with their provider.”

He advises clinicians to actively discuss with their patients the risks associated with semaglutide and, specifically, the dangers of buying it online. “Clinicians can act as a primary information source for patient safety information by letting their patients know about these risks ... and also asking where patients get their medications in case they are concerned about reports of adverse events or other patient safety issues.”
 

Buyer Beware: Online Semaglutide Purchases Not as They Seem

The investigators began by searching online for websites advertising semaglutide without a prescription. They ordered products from six online vendors that showed up prominently in the searches. Of those, three offered prefilled 0.25 mg/dose semaglutide injection pens, while the other three sold vials of lyophilized semaglutide powder to be reconstituted to solution for injection. Prices for the smallest dose and quantity ranged from $113 to $360.

Only three of the ordered products — all vials — actually showed up. The advertised prefilled pens were all nondelivery scams, with requests for an extra payment of $650-$1200 purportedly to clear customs. This was confirmed as fraudulent by customs agencies, the authors noted.

The three vial products were received and assessed physically, of both the packaging and the actual product, by liquid chromatography-mass spectrometry to determine purity and peptide concentration, and microbiologically, to examine sterility.

Using a checklist from the International Pharmaceutical Federation, Dr. Ashraf and colleagues found “clear discrepancies in regulatory registration information, accurate labeling, and evidence products were likely unregistered or unlicensed.”

Quality testing showed that one sample had an elevated presence of endotoxin suggesting possible contamination. While all three actually did contain semaglutide, the measured content exceeded the labeled amount by 29%-39%, posing a risk that users could receive up to 39% more than intended per injection, “particularly concerning if a consumer has to reconstitute and self-inject,” Dr. Mackey noted.

At least one of these sites in this study, “semaspace.com,” was subsequently sent a warning letter by the FDA for unauthorized semaglutide sale, Mackey noted.

Unfortunately, he told this news organization, these dangers are likely to persist. “There is a strong market opportunity to introduce counterfeit and unauthorized versions of semaglutide. Counterfeiters will continue to innovate with where they sell products, what products they offer, and how they mislead consumers about the safety and legality of what they are offering online. We are likely just at the beginning of counterfeiting of semaglutide, and it is likely that these false products will become endemic in our supply chain.”

The research was supported by the Hungarian Scientific Research Fund. The authors had no further disclosures.
 

A version of this article appeared on Medscape.com.

Semaglutide products sold online without a prescription may pose multiple risks to consumers, new research found.

Of six test purchases of semaglutide products offered online without a prescription, only three were actually received. The other three vendors demanded additional payment. Of the three delivered, one was potentially contaminated, and all three contained higher concentrations of semaglutide than indicated on the label, potentially resulting in an overdose.

“Semaglutide products are actively being sold without prescription by illegal online pharmacies, with vendors shipping unregistered and falsified products,” wrote Amir Reza Ashraf, PharmD, of the University of Pécs, Hungary, and colleagues in their paper, published online on August 2, 2024, in JAMA Network Open.

The study was conducted in July 2023, but its publication comes a week after the US Food and Drug Administration (FDA) issued an alert about dosing errors in compounded semaglutide, which typically does require a prescription.

Study coauthor Tim K. Mackey, PhD, told this news organization, “Compounding pharmacies are another element of this risk that has become more prominent now but arguably have more controls if prescribed appropriately, while the traditional ‘no-prescription’ online market still exists and will continue to evolve.”

Overall, said Dr. Mackey, professor of global health at the University of California San Diego and director of the Global Health Policy and Data Institute, “consumers take a huge risk when they seek to procure semaglutide outside of a legitimate physician-patient relationship and should only get semaglutide from a licensed and authorized pharmacy after discussing the risks versus benefits with their provider.”

He advises clinicians to actively discuss with their patients the risks associated with semaglutide and, specifically, the dangers of buying it online. “Clinicians can act as a primary information source for patient safety information by letting their patients know about these risks ... and also asking where patients get their medications in case they are concerned about reports of adverse events or other patient safety issues.”
 

Buyer Beware: Online Semaglutide Purchases Not as They Seem

The investigators began by searching online for websites advertising semaglutide without a prescription. They ordered products from six online vendors that showed up prominently in the searches. Of those, three offered prefilled 0.25 mg/dose semaglutide injection pens, while the other three sold vials of lyophilized semaglutide powder to be reconstituted to solution for injection. Prices for the smallest dose and quantity ranged from $113 to $360.

Only three of the ordered products — all vials — actually showed up. The advertised prefilled pens were all nondelivery scams, with requests for an extra payment of $650-$1200 purportedly to clear customs. This was confirmed as fraudulent by customs agencies, the authors noted.

The three vial products were received and assessed physically, of both the packaging and the actual product, by liquid chromatography-mass spectrometry to determine purity and peptide concentration, and microbiologically, to examine sterility.

Using a checklist from the International Pharmaceutical Federation, Dr. Ashraf and colleagues found “clear discrepancies in regulatory registration information, accurate labeling, and evidence products were likely unregistered or unlicensed.”

Quality testing showed that one sample had an elevated presence of endotoxin suggesting possible contamination. While all three actually did contain semaglutide, the measured content exceeded the labeled amount by 29%-39%, posing a risk that users could receive up to 39% more than intended per injection, “particularly concerning if a consumer has to reconstitute and self-inject,” Dr. Mackey noted.

At least one of these sites in this study, “semaspace.com,” was subsequently sent a warning letter by the FDA for unauthorized semaglutide sale, Mackey noted.

Unfortunately, he told this news organization, these dangers are likely to persist. “There is a strong market opportunity to introduce counterfeit and unauthorized versions of semaglutide. Counterfeiters will continue to innovate with where they sell products, what products they offer, and how they mislead consumers about the safety and legality of what they are offering online. We are likely just at the beginning of counterfeiting of semaglutide, and it is likely that these false products will become endemic in our supply chain.”

The research was supported by the Hungarian Scientific Research Fund. The authors had no further disclosures.
 

A version of this article appeared on Medscape.com.

Rapid eye movement (REM) sleep, deep sleep, and sleep irregularity were significantly associated with increased risk for a range of chronic diseases, based on a new study of > 6000 individuals. 

“Most of what we think we know about sleep patterns in adults comes from either self-report surveys, which are widely used but have all sorts of problems with over- and under-estimating sleep duration and quality, or single-night sleep studies,” corresponding author Evan L. Brittain, MD, of Vanderbilt University, Nashville, Tennessee, said in an interview. 

The single-night study yields the highest quality data but is limited by extrapolating a single night’s sleep to represent habitual sleep patterns, which is often not the case, he said. In the current study, published in Nature Medicine, “we had a unique opportunity to understand sleep using a large cohort of individuals using wearable devices that measure sleep duration, quality, and variability. The All of Us Research Program is the first to link wearables data to the electronic health record at scale and allowed us to study long-term, real-world sleep behavior,” Dr. Brittain said.

The timing of the study is important because the American Heart Association now recognizes sleep as a key component of heart health, and public awareness of the value of sleep is increasing, he added. 

The researchers reviewed objectively measured, longitudinal sleep data from 6785 adults who used commercial wearable devices (Fitbit) linked to electronic health record data in the All of Us Research Program. The median age of the participants was 50.2 years, 71% were women, and 84% self-identified as White individuals. The median period of sleep monitoring was 4.5 years.

REM sleep and deep sleep were inversely associated with the odds of incident heart rhythm and heart rate abnormalities. Each percent increase in REM sleep was associated with a reduced incidence of atrial fibrillation (odds ratio [OR], 0.86), atrial flutter (OR, 0.78), and sinoatrial node dysfunction/bradycardia (OR, 0.72). A higher percentage of deep sleep was associated with reduced odds of atrial fibrillation (OR, 0.87), major depressive disorder (OR, 0.93), and anxiety disorder (OR, 0.94). 

Increased irregular sleep was significantly associated with increased odds of incident obesity (OR, 1.49), hyperlipidemia (OR, 1.39), and hypertension (OR, 1.56), as well as major depressive disorder (OR, 1.75), anxiety disorder (OR, 1.55), and bipolar disorder (OR, 2.27). 

The researchers also identified J-shaped associations between average daily sleep duration and hypertension (P for nonlinearity = .003), as well as major depressive disorder and generalized anxiety disorder (both P < .001). 

The study was limited by several factors including the relatively young, White, and female study population. However, the results illustrate how sleep stages, duration, and regularity are associated with chronic disease development, and may inform evidence-based recommendations on healthy sleeping habits, the researchers wrote.
 

Findings Support Need for Sleep Consistency 

“The biggest surprise for me was the impact of sleep variability of health,” Dr. Brittain told this news organization. “The more your sleep duration varies, the higher your risk of numerous chronic diseases across the entire spectrum of organ systems. Sleep duration and quality were also important but that was less surprising,” he said. 

The clinical implications of the findings are that sleep duration, quality, and variability are all important, said Dr. Brittain. “To me, the easiest finding to translate into the clinic is the importance of reducing the variability of sleep duration as much as possible,” he said. For patients, that means explaining that they need to go to sleep and wake up at roughly the same time night to night, he said. 

“Commercial wearable devices are not perfect compared with research grade devices, but our study showed that they nonetheless collect clinically relevant information,” Dr. Brittain added. “For patients who own a device, I have adopted the practice of reviewing my patients’ sleep and activity data which gives objective insight into behavior that is not always accurate through routine questioning,” he said.

As for other limitations, “Our cohort was limited to individuals who already owned a Fitbit; not surprisingly, these individuals differ from a random sample of the community in important ways, both demographic and behavioral, and our findings need to be validated in a more diverse population,” said Dr. Brittain. 

Looking ahead, “we are interested in using commercial devices as a tool for sleep interventions to test the impact of improving sleep hygiene on chronic disease incidence, severity, and progression,” he said.
 

Device Data Will Evolve to Inform Patient Care

“With the increasing use of commercial wearable devices, it is crucial to identify and understand the data they can collect,” said Arianne K. Baldomero, MD, a pulmonologist and assistant professor of medicine at the University of Minnesota, Minneapolis, in an interview. “This study specifically analyzed sleep data from Fitbit devices among participants in the All of Us Research Program to assess sleep patterns and their association with chronic disease risk,” said Dr. Baldomero, who was not involved in the study. 

The significant relationships between sleep patterns and risk for chronic diseases were not surprising, said Dr. Baldomero. The findings of an association between shorter sleep duration and greater sleep irregularity with obesity and sleep apnea validated previous studies in large-scale population surveys, she said. Findings from the current study also reflect data from the literature on sleep duration associated with hypertension, major depressive disorder, and generalized anxiety findings, she added.

“This study reinforces the importance of adequate sleep, typically around 7 hours per night, and suggests that insufficient or poor-quality sleep may be associated with chronic diseases,” Dr. Baldomero told this news organization. “Pulmonologists should remain vigilant about sleep-related issues, and consider further investigation and referrals to sleep specialty clinics for patients suspected of having sleep disturbances,” she said.

“What remains unclear is whether abnormal sleep patterns are a cause or an effect of chronic diseases,” Dr. Baldomero noted. “Additionally, it is essential to ensure that these devices accurately capture sleep patterns and continue to validate their data against gold standard measures of sleep disturbances,” she said.

The study was based on work that was partially funded by an unrestricted gift from Google, and the study itself was supported by National Institutes of Health. Dr. Brittain disclosed received research funds unrelated to this work from United Therapeutics. Dr. Baldomero had no financial conflicts to disclose.

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

Rapid eye movement (REM) sleep, deep sleep, and sleep irregularity were significantly associated with increased risk for a range of chronic diseases, based on a new study of > 6000 individuals. 

“Most of what we think we know about sleep patterns in adults comes from either self-report surveys, which are widely used but have all sorts of problems with over- and under-estimating sleep duration and quality, or single-night sleep studies,” corresponding author Evan L. Brittain, MD, of Vanderbilt University, Nashville, Tennessee, said in an interview. 

The single-night study yields the highest quality data but is limited by extrapolating a single night’s sleep to represent habitual sleep patterns, which is often not the case, he said. In the current study, published in Nature Medicine, “we had a unique opportunity to understand sleep using a large cohort of individuals using wearable devices that measure sleep duration, quality, and variability. The All of Us Research Program is the first to link wearables data to the electronic health record at scale and allowed us to study long-term, real-world sleep behavior,” Dr. Brittain said.

The timing of the study is important because the American Heart Association now recognizes sleep as a key component of heart health, and public awareness of the value of sleep is increasing, he added. 

The researchers reviewed objectively measured, longitudinal sleep data from 6785 adults who used commercial wearable devices (Fitbit) linked to electronic health record data in the All of Us Research Program. The median age of the participants was 50.2 years, 71% were women, and 84% self-identified as White individuals. The median period of sleep monitoring was 4.5 years.

REM sleep and deep sleep were inversely associated with the odds of incident heart rhythm and heart rate abnormalities. Each percent increase in REM sleep was associated with a reduced incidence of atrial fibrillation (odds ratio [OR], 0.86), atrial flutter (OR, 0.78), and sinoatrial node dysfunction/bradycardia (OR, 0.72). A higher percentage of deep sleep was associated with reduced odds of atrial fibrillation (OR, 0.87), major depressive disorder (OR, 0.93), and anxiety disorder (OR, 0.94). 

Increased irregular sleep was significantly associated with increased odds of incident obesity (OR, 1.49), hyperlipidemia (OR, 1.39), and hypertension (OR, 1.56), as well as major depressive disorder (OR, 1.75), anxiety disorder (OR, 1.55), and bipolar disorder (OR, 2.27). 

The researchers also identified J-shaped associations between average daily sleep duration and hypertension (P for nonlinearity = .003), as well as major depressive disorder and generalized anxiety disorder (both P < .001). 

The study was limited by several factors including the relatively young, White, and female study population. However, the results illustrate how sleep stages, duration, and regularity are associated with chronic disease development, and may inform evidence-based recommendations on healthy sleeping habits, the researchers wrote.
 

Findings Support Need for Sleep Consistency 

“The biggest surprise for me was the impact of sleep variability of health,” Dr. Brittain told this news organization. “The more your sleep duration varies, the higher your risk of numerous chronic diseases across the entire spectrum of organ systems. Sleep duration and quality were also important but that was less surprising,” he said. 

The clinical implications of the findings are that sleep duration, quality, and variability are all important, said Dr. Brittain. “To me, the easiest finding to translate into the clinic is the importance of reducing the variability of sleep duration as much as possible,” he said. For patients, that means explaining that they need to go to sleep and wake up at roughly the same time night to night, he said. 

“Commercial wearable devices are not perfect compared with research grade devices, but our study showed that they nonetheless collect clinically relevant information,” Dr. Brittain added. “For patients who own a device, I have adopted the practice of reviewing my patients’ sleep and activity data which gives objective insight into behavior that is not always accurate through routine questioning,” he said.

As for other limitations, “Our cohort was limited to individuals who already owned a Fitbit; not surprisingly, these individuals differ from a random sample of the community in important ways, both demographic and behavioral, and our findings need to be validated in a more diverse population,” said Dr. Brittain. 

Looking ahead, “we are interested in using commercial devices as a tool for sleep interventions to test the impact of improving sleep hygiene on chronic disease incidence, severity, and progression,” he said.
 

Device Data Will Evolve to Inform Patient Care

“With the increasing use of commercial wearable devices, it is crucial to identify and understand the data they can collect,” said Arianne K. Baldomero, MD, a pulmonologist and assistant professor of medicine at the University of Minnesota, Minneapolis, in an interview. “This study specifically analyzed sleep data from Fitbit devices among participants in the All of Us Research Program to assess sleep patterns and their association with chronic disease risk,” said Dr. Baldomero, who was not involved in the study. 

The significant relationships between sleep patterns and risk for chronic diseases were not surprising, said Dr. Baldomero. The findings of an association between shorter sleep duration and greater sleep irregularity with obesity and sleep apnea validated previous studies in large-scale population surveys, she said. Findings from the current study also reflect data from the literature on sleep duration associated with hypertension, major depressive disorder, and generalized anxiety findings, she added.

“This study reinforces the importance of adequate sleep, typically around 7 hours per night, and suggests that insufficient or poor-quality sleep may be associated with chronic diseases,” Dr. Baldomero told this news organization. “Pulmonologists should remain vigilant about sleep-related issues, and consider further investigation and referrals to sleep specialty clinics for patients suspected of having sleep disturbances,” she said.

“What remains unclear is whether abnormal sleep patterns are a cause or an effect of chronic diseases,” Dr. Baldomero noted. “Additionally, it is essential to ensure that these devices accurately capture sleep patterns and continue to validate their data against gold standard measures of sleep disturbances,” she said.

The study was based on work that was partially funded by an unrestricted gift from Google, and the study itself was supported by National Institutes of Health. Dr. Brittain disclosed received research funds unrelated to this work from United Therapeutics. Dr. Baldomero had no financial conflicts to disclose.

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

Rapid eye movement (REM) sleep, deep sleep, and sleep irregularity were significantly associated with increased risk for a range of chronic diseases, based on a new study of > 6000 individuals. 

“Most of what we think we know about sleep patterns in adults comes from either self-report surveys, which are widely used but have all sorts of problems with over- and under-estimating sleep duration and quality, or single-night sleep studies,” corresponding author Evan L. Brittain, MD, of Vanderbilt University, Nashville, Tennessee, said in an interview. 

The single-night study yields the highest quality data but is limited by extrapolating a single night’s sleep to represent habitual sleep patterns, which is often not the case, he said. In the current study, published in Nature Medicine, “we had a unique opportunity to understand sleep using a large cohort of individuals using wearable devices that measure sleep duration, quality, and variability. The All of Us Research Program is the first to link wearables data to the electronic health record at scale and allowed us to study long-term, real-world sleep behavior,” Dr. Brittain said.

The timing of the study is important because the American Heart Association now recognizes sleep as a key component of heart health, and public awareness of the value of sleep is increasing, he added. 

The researchers reviewed objectively measured, longitudinal sleep data from 6785 adults who used commercial wearable devices (Fitbit) linked to electronic health record data in the All of Us Research Program. The median age of the participants was 50.2 years, 71% were women, and 84% self-identified as White individuals. The median period of sleep monitoring was 4.5 years.

REM sleep and deep sleep were inversely associated with the odds of incident heart rhythm and heart rate abnormalities. Each percent increase in REM sleep was associated with a reduced incidence of atrial fibrillation (odds ratio [OR], 0.86), atrial flutter (OR, 0.78), and sinoatrial node dysfunction/bradycardia (OR, 0.72). A higher percentage of deep sleep was associated with reduced odds of atrial fibrillation (OR, 0.87), major depressive disorder (OR, 0.93), and anxiety disorder (OR, 0.94). 

Increased irregular sleep was significantly associated with increased odds of incident obesity (OR, 1.49), hyperlipidemia (OR, 1.39), and hypertension (OR, 1.56), as well as major depressive disorder (OR, 1.75), anxiety disorder (OR, 1.55), and bipolar disorder (OR, 2.27). 

The researchers also identified J-shaped associations between average daily sleep duration and hypertension (P for nonlinearity = .003), as well as major depressive disorder and generalized anxiety disorder (both P < .001). 

The study was limited by several factors including the relatively young, White, and female study population. However, the results illustrate how sleep stages, duration, and regularity are associated with chronic disease development, and may inform evidence-based recommendations on healthy sleeping habits, the researchers wrote.
 

Findings Support Need for Sleep Consistency 

“The biggest surprise for me was the impact of sleep variability of health,” Dr. Brittain told this news organization. “The more your sleep duration varies, the higher your risk of numerous chronic diseases across the entire spectrum of organ systems. Sleep duration and quality were also important but that was less surprising,” he said. 

The clinical implications of the findings are that sleep duration, quality, and variability are all important, said Dr. Brittain. “To me, the easiest finding to translate into the clinic is the importance of reducing the variability of sleep duration as much as possible,” he said. For patients, that means explaining that they need to go to sleep and wake up at roughly the same time night to night, he said. 

“Commercial wearable devices are not perfect compared with research grade devices, but our study showed that they nonetheless collect clinically relevant information,” Dr. Brittain added. “For patients who own a device, I have adopted the practice of reviewing my patients’ sleep and activity data which gives objective insight into behavior that is not always accurate through routine questioning,” he said.

As for other limitations, “Our cohort was limited to individuals who already owned a Fitbit; not surprisingly, these individuals differ from a random sample of the community in important ways, both demographic and behavioral, and our findings need to be validated in a more diverse population,” said Dr. Brittain. 

Looking ahead, “we are interested in using commercial devices as a tool for sleep interventions to test the impact of improving sleep hygiene on chronic disease incidence, severity, and progression,” he said.
 

Device Data Will Evolve to Inform Patient Care

“With the increasing use of commercial wearable devices, it is crucial to identify and understand the data they can collect,” said Arianne K. Baldomero, MD, a pulmonologist and assistant professor of medicine at the University of Minnesota, Minneapolis, in an interview. “This study specifically analyzed sleep data from Fitbit devices among participants in the All of Us Research Program to assess sleep patterns and their association with chronic disease risk,” said Dr. Baldomero, who was not involved in the study. 

The significant relationships between sleep patterns and risk for chronic diseases were not surprising, said Dr. Baldomero. The findings of an association between shorter sleep duration and greater sleep irregularity with obesity and sleep apnea validated previous studies in large-scale population surveys, she said. Findings from the current study also reflect data from the literature on sleep duration associated with hypertension, major depressive disorder, and generalized anxiety findings, she added.

“This study reinforces the importance of adequate sleep, typically around 7 hours per night, and suggests that insufficient or poor-quality sleep may be associated with chronic diseases,” Dr. Baldomero told this news organization. “Pulmonologists should remain vigilant about sleep-related issues, and consider further investigation and referrals to sleep specialty clinics for patients suspected of having sleep disturbances,” she said.

“What remains unclear is whether abnormal sleep patterns are a cause or an effect of chronic diseases,” Dr. Baldomero noted. “Additionally, it is essential to ensure that these devices accurately capture sleep patterns and continue to validate their data against gold standard measures of sleep disturbances,” she said.

The study was based on work that was partially funded by an unrestricted gift from Google, and the study itself was supported by National Institutes of Health. Dr. Brittain disclosed received research funds unrelated to this work from United Therapeutics. Dr. Baldomero had no financial conflicts to disclose.

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

CHEST

CHEST

OSA is a very prevalent condition in the general population, but still many patients remain undiagnosed and untreated. Prolonged, untreated OSA is an independent risk factor for major cardiovascular morbidity and mortality. Therefore, timely diagnosis and treatment are required.

Polysomnography (PSG) remains to this day the gold standard for diagnosing sleep apnea. A standard PSG (type I) is performed in a sleep laboratory in the presence of specialized sleep technicians and utilizes EEG, electrooculogram (EOG), and electromyogram (EMG) to determine sleep stages, oronasal thermal and pressure transducer sensors to monitor airflow, respiratory inductance plethysmography to record respiratory effort, EMG for limb movements, pulse oximetry (PulseOx), ECG, and video or body sensor devices to confirm body position. Rising rates of sleep testing have created demand for an alternative to cumbersome, costly, and resource-intensive in-lab PSGs. As such, home sleep apnea testing (HSAT) has emerged as a simpler, more accessible, and cost-effective alternative diagnostic tool.

In 2007, the American Academy of Sleep Medicine (AASM) endorsed Portable Monitoring (PM) as an alternative to standard PSG, with the caveat that it should be used only in patients with a high pretest probability of sleep apnea, without respiratory or cardiovascular disorders and comorbid sleep disorders. All HSAT devices (type II-IV) are required to have a minimum of an oronasal thermal sensor/nasal pressure transducer, respiratory inductance plethysmography, and PulseOx. A major limitation of most HSAT devices is the lack of EEG, preventing detection of cortical arousals and wake time, forcing the use of total recording time as a surrogate for total sleep time.

Peripheral arterial tonometry (PAT)-based HSAT devices are unique in this respect, as their proprietary algorithms allow estimates of total sleep time by monitoring changes in peripheral vascular tone. Anyone who has seen a PAT-based HSAT may have noticed very different outputs from traditional HSATs.

PAT is based on the concept that airflow obstruction may lead to a surge in sympathetic tone, causing vasoconstriction and reduced blood volume in the peripheral vascular bed. A PAT-based device measures relative changes in blood volume and combines this information with actigraphy signals, PulseOx, and heart rate to diagnose the presence of respiratory events. Sleep apnea severity stratification is accomplished by the use of pAHI or pRDI (PAT-based apnea-hypopnea index and respiratory disturbance index, respectively).

PAT-based technology was first approved by the FDA in 2001 as a diagnostic tool for sleep apnea. The 2 best-known medical devices are WatchPAT^® and NightOwl^®, both of which have been FDA-approved and studied against PSG. To obtain an accurate and sustainable PAT signal, WatchPAT has a pneumo-optic finger probe designed to generate a uniform, subdiastolic pressure on the finger that minimizes venous blood pooling, prevents uncontrolled venous backflow, and effectively unloads the arterial wall tension without blocking digital arterial flow. NightOwl is a smaller device, with a single fingertip sensor that acquires actigraphy and PPG data to measure heart rate, Pulse Ox, and PAT.

The physiological basis of PAT relies on photoplethysmography (PPG), a noninvasive optical monitoring technique that generates a waveform, which ultimately correlates with the circulatory volume of the respective tissue.¹ The PPG technology relies on the fact that when a specific tissue is exposed to light signal of a specific wavelength, its absorbance by tissue fluctuates with arterial pulsations. Pulse oximetry represents the most used application of PPG. Recent advances in PPG signal analysis have fueled its use in clinical and consumer sleep technologies and allowed new capabilities, including capturing heart rate and rhythm, pulse rate variability, arterial stiffness, and even—with somewhat less accuracy—energy expenditure, maximum O2 consumption, and blood pressure. Combining actigraphy monitoring with PPG technology took both consumer and medical-grade sleep technologies further, allowing the estimation of parameters such as sleep stages, sleep times, and respiratory events. With myriad new sleep trackers claiming to assess total sleep time, wake time, light or deep sleep, and even respiratory events, the obvious clinical question is centered on their comparative accuracy, as well against more traditional PM and the gold standard PSG.

Numerous studies have evaluated the efficacy of PAT-based devices for diagnosing sleep apnea, with variable findings. Many have shown good correlations between mean AHI and pAHI. Others have highlighted significant discrepancies in the measurements between PSG and PAT, questioning the reliability of PAT-based devices in the diagnosis and severity stratification of OSA. One meta-analysis of 14 studies showed a high degree of correlation between pAHI and AHI.² Another study reported a concordance of 80% between PAT-based testing and consecutive PSG, with an increase to 86% at a higher AHI (>15/h).³ A subsequent meta-analysis showed that PAT was significantly less sensitive for diagnosing OSA than PSG, particularly for mild or moderate severity disease, emphasizing the need for further confirmation with PSG when faced with inconclusive or negative results.⁴ A large sleep clinic-based cohort study of 500 patients with OSA showed that WatchPAT devices misclassify OSA in a sizeable proportion of patients (30%-50%), leading to both over- and under-estimation of severity.⁵ Van Pee, et al, found that their PAT-based HSAT NightOwl performed better, using both the 3% and 4% hypopnea scoring rules and a novel near-border zone labeling.⁶

Some of the discordance in AHI between PAT and PSG appears to be related to age and sex. In our large sample comparing PAT to PSG, we found that using PAT-based data in concert with demographic (age, gender) and anthropometric (neck circumference, body mass index) variables improved the diagnostic accuracy of PAT-based testing.⁷ Another study concluded that manual scoring of WatchPAT automated results improved concordance with PSG, particularly in older participants and women. Several studies on WatchPAT recordings have demonstrated significant artifacts and inaccuracies in the PulseOx data. Although WatchPAT employs automated algorithms to remove erroneous data, a thorough visual inspection and manual correction of study data is still essential to derive accurate results.

Recent studies have found that PAT-based tests can also differentiate between central and obstructive respiratory events by using pulse signal upstroke variations caused by changes in intrathoracic pressure and respiratory/chest wall movement recorded by body position sensors, but large-scale studies are needed to confirm these findings. Korkalainen, et al, recently employed a deep-learning model to perform sleep staging on the PPG PulseOx signals from nearly 900 PSGs in patients with suspected OSA.⁸ The deep learning approach enabled the differentiation of sleep stages and accurate estimation of the total sleep time. Going forward, this could easily enhance the diagnostic yield of PM recordings and enable cost-efficient, long-term monitoring of sleep.

Although PAT-based home sleep tests have emerged as a simple and convenient option for the evaluation of sleep apnea, several studies have highlighted their limited sensitivity as a screening tool for mild and moderate cases of sleep apnea. Furthermore, the scope of these tests remains limited, rendering them rather unsuitable for assessment of more complex sleep disorders like narcolepsy or restless leg syndrome. Therefore, when OSA is suspected, the PAT-based sleep study is a good screening tool, but negative tests should not preclude further investigation. Where a high probability of sleep apnea exists but PAT-based testing shows no or mild OSA, an in-lab sleep study should be performed.


References

1. Ryals S, Chiang A, Schutte-Rodin S, et al. Photoplethysmography -- new applications for an old technology: a sleep technology review. J Clin Sleep Med. 2023;19(1):189-195.

2. Yalamanchali S, Farajian V, Hamilton C, Pott TR, Samuelson CG, Friedman M. Diagnosis of obstructive sleep apnea by peripheral arterial tonometry: meta-analysis. JAMA Otolaryngol Head Neck Surg. 2013;139(12):1343-1350.

3. Röcken J, Schumann DM, Herrmann MJ, et al. Peripheral arterial tonometry versus polysomnography in suspected obstructive sleep apnoea. Eur J Med Res. 2023;28(1):251.

4. Iftikhar IH, Finch CE, Shah AS, Augunstein CA, Ioachimescu OC. A meta-analysis of diagnostic test performance of peripheral arterial tonometry studies. J Clin Sleep Med. 2022;18(4):1093-1102.

5. Ioachimescu OC, Allam JS, Samarghandi A, et al. Performance of peripheral arterial tonometry-based testing for the diagnosis of obstructive sleep apnea in a large sleep clinic cohort. J Clin Sleep Med. 2020;16(10):1663-1674.

6. Van Pee B, Massie F, Vits S, et al. A multicentric validation study of a novel home sleep apnea test based on peripheral arterial tonometry. Sleep. 2022;45(5).

7. Ioachimescu OC, Dholakia SA, Venkateshiah SB, et al. Improving the performance of peripheral arterial tonometry-based testing for the diagnosis of obstructive sleep apnea. J Investig Med. 2020;68(8):1370-1378.

8. Korkalainen H, Aakko J, Duce B, et al. Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea. Sleep. 2020;43(11).
 

CHEST

CHEST

OSA is a very prevalent condition in the general population, but still many patients remain undiagnosed and untreated. Prolonged, untreated OSA is an independent risk factor for major cardiovascular morbidity and mortality. Therefore, timely diagnosis and treatment are required.

Polysomnography (PSG) remains to this day the gold standard for diagnosing sleep apnea. A standard PSG (type I) is performed in a sleep laboratory in the presence of specialized sleep technicians and utilizes EEG, electrooculogram (EOG), and electromyogram (EMG) to determine sleep stages, oronasal thermal and pressure transducer sensors to monitor airflow, respiratory inductance plethysmography to record respiratory effort, EMG for limb movements, pulse oximetry (PulseOx), ECG, and video or body sensor devices to confirm body position. Rising rates of sleep testing have created demand for an alternative to cumbersome, costly, and resource-intensive in-lab PSGs. As such, home sleep apnea testing (HSAT) has emerged as a simpler, more accessible, and cost-effective alternative diagnostic tool.

In 2007, the American Academy of Sleep Medicine (AASM) endorsed Portable Monitoring (PM) as an alternative to standard PSG, with the caveat that it should be used only in patients with a high pretest probability of sleep apnea, without respiratory or cardiovascular disorders and comorbid sleep disorders. All HSAT devices (type II-IV) are required to have a minimum of an oronasal thermal sensor/nasal pressure transducer, respiratory inductance plethysmography, and PulseOx. A major limitation of most HSAT devices is the lack of EEG, preventing detection of cortical arousals and wake time, forcing the use of total recording time as a surrogate for total sleep time.

Peripheral arterial tonometry (PAT)-based HSAT devices are unique in this respect, as their proprietary algorithms allow estimates of total sleep time by monitoring changes in peripheral vascular tone. Anyone who has seen a PAT-based HSAT may have noticed very different outputs from traditional HSATs.

PAT is based on the concept that airflow obstruction may lead to a surge in sympathetic tone, causing vasoconstriction and reduced blood volume in the peripheral vascular bed. A PAT-based device measures relative changes in blood volume and combines this information with actigraphy signals, PulseOx, and heart rate to diagnose the presence of respiratory events. Sleep apnea severity stratification is accomplished by the use of pAHI or pRDI (PAT-based apnea-hypopnea index and respiratory disturbance index, respectively).

PAT-based technology was first approved by the FDA in 2001 as a diagnostic tool for sleep apnea. The 2 best-known medical devices are WatchPAT^® and NightOwl^®, both of which have been FDA-approved and studied against PSG. To obtain an accurate and sustainable PAT signal, WatchPAT has a pneumo-optic finger probe designed to generate a uniform, subdiastolic pressure on the finger that minimizes venous blood pooling, prevents uncontrolled venous backflow, and effectively unloads the arterial wall tension without blocking digital arterial flow. NightOwl is a smaller device, with a single fingertip sensor that acquires actigraphy and PPG data to measure heart rate, Pulse Ox, and PAT.

The physiological basis of PAT relies on photoplethysmography (PPG), a noninvasive optical monitoring technique that generates a waveform, which ultimately correlates with the circulatory volume of the respective tissue.¹ The PPG technology relies on the fact that when a specific tissue is exposed to light signal of a specific wavelength, its absorbance by tissue fluctuates with arterial pulsations. Pulse oximetry represents the most used application of PPG. Recent advances in PPG signal analysis have fueled its use in clinical and consumer sleep technologies and allowed new capabilities, including capturing heart rate and rhythm, pulse rate variability, arterial stiffness, and even—with somewhat less accuracy—energy expenditure, maximum O2 consumption, and blood pressure. Combining actigraphy monitoring with PPG technology took both consumer and medical-grade sleep technologies further, allowing the estimation of parameters such as sleep stages, sleep times, and respiratory events. With myriad new sleep trackers claiming to assess total sleep time, wake time, light or deep sleep, and even respiratory events, the obvious clinical question is centered on their comparative accuracy, as well against more traditional PM and the gold standard PSG.

Numerous studies have evaluated the efficacy of PAT-based devices for diagnosing sleep apnea, with variable findings. Many have shown good correlations between mean AHI and pAHI. Others have highlighted significant discrepancies in the measurements between PSG and PAT, questioning the reliability of PAT-based devices in the diagnosis and severity stratification of OSA. One meta-analysis of 14 studies showed a high degree of correlation between pAHI and AHI.² Another study reported a concordance of 80% between PAT-based testing and consecutive PSG, with an increase to 86% at a higher AHI (>15/h).³ A subsequent meta-analysis showed that PAT was significantly less sensitive for diagnosing OSA than PSG, particularly for mild or moderate severity disease, emphasizing the need for further confirmation with PSG when faced with inconclusive or negative results.⁴ A large sleep clinic-based cohort study of 500 patients with OSA showed that WatchPAT devices misclassify OSA in a sizeable proportion of patients (30%-50%), leading to both over- and under-estimation of severity.⁵ Van Pee, et al, found that their PAT-based HSAT NightOwl performed better, using both the 3% and 4% hypopnea scoring rules and a novel near-border zone labeling.⁶

Some of the discordance in AHI between PAT and PSG appears to be related to age and sex. In our large sample comparing PAT to PSG, we found that using PAT-based data in concert with demographic (age, gender) and anthropometric (neck circumference, body mass index) variables improved the diagnostic accuracy of PAT-based testing.⁷ Another study concluded that manual scoring of WatchPAT automated results improved concordance with PSG, particularly in older participants and women. Several studies on WatchPAT recordings have demonstrated significant artifacts and inaccuracies in the PulseOx data. Although WatchPAT employs automated algorithms to remove erroneous data, a thorough visual inspection and manual correction of study data is still essential to derive accurate results.

Recent studies have found that PAT-based tests can also differentiate between central and obstructive respiratory events by using pulse signal upstroke variations caused by changes in intrathoracic pressure and respiratory/chest wall movement recorded by body position sensors, but large-scale studies are needed to confirm these findings. Korkalainen, et al, recently employed a deep-learning model to perform sleep staging on the PPG PulseOx signals from nearly 900 PSGs in patients with suspected OSA.⁸ The deep learning approach enabled the differentiation of sleep stages and accurate estimation of the total sleep time. Going forward, this could easily enhance the diagnostic yield of PM recordings and enable cost-efficient, long-term monitoring of sleep.

Although PAT-based home sleep tests have emerged as a simple and convenient option for the evaluation of sleep apnea, several studies have highlighted their limited sensitivity as a screening tool for mild and moderate cases of sleep apnea. Furthermore, the scope of these tests remains limited, rendering them rather unsuitable for assessment of more complex sleep disorders like narcolepsy or restless leg syndrome. Therefore, when OSA is suspected, the PAT-based sleep study is a good screening tool, but negative tests should not preclude further investigation. Where a high probability of sleep apnea exists but PAT-based testing shows no or mild OSA, an in-lab sleep study should be performed.


References

1. Ryals S, Chiang A, Schutte-Rodin S, et al. Photoplethysmography -- new applications for an old technology: a sleep technology review. J Clin Sleep Med. 2023;19(1):189-195.

2. Yalamanchali S, Farajian V, Hamilton C, Pott TR, Samuelson CG, Friedman M. Diagnosis of obstructive sleep apnea by peripheral arterial tonometry: meta-analysis. JAMA Otolaryngol Head Neck Surg. 2013;139(12):1343-1350.

3. Röcken J, Schumann DM, Herrmann MJ, et al. Peripheral arterial tonometry versus polysomnography in suspected obstructive sleep apnoea. Eur J Med Res. 2023;28(1):251.

4. Iftikhar IH, Finch CE, Shah AS, Augunstein CA, Ioachimescu OC. A meta-analysis of diagnostic test performance of peripheral arterial tonometry studies. J Clin Sleep Med. 2022;18(4):1093-1102.

5. Ioachimescu OC, Allam JS, Samarghandi A, et al. Performance of peripheral arterial tonometry-based testing for the diagnosis of obstructive sleep apnea in a large sleep clinic cohort. J Clin Sleep Med. 2020;16(10):1663-1674.

6. Van Pee B, Massie F, Vits S, et al. A multicentric validation study of a novel home sleep apnea test based on peripheral arterial tonometry. Sleep. 2022;45(5).

7. Ioachimescu OC, Dholakia SA, Venkateshiah SB, et al. Improving the performance of peripheral arterial tonometry-based testing for the diagnosis of obstructive sleep apnea. J Investig Med. 2020;68(8):1370-1378.

8. Korkalainen H, Aakko J, Duce B, et al. Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea. Sleep. 2020;43(11).
 

CHEST

CHEST

OSA is a very prevalent condition in the general population, but still many patients remain undiagnosed and untreated. Prolonged, untreated OSA is an independent risk factor for major cardiovascular morbidity and mortality. Therefore, timely diagnosis and treatment are required.

Polysomnography (PSG) remains to this day the gold standard for diagnosing sleep apnea. A standard PSG (type I) is performed in a sleep laboratory in the presence of specialized sleep technicians and utilizes EEG, electrooculogram (EOG), and electromyogram (EMG) to determine sleep stages, oronasal thermal and pressure transducer sensors to monitor airflow, respiratory inductance plethysmography to record respiratory effort, EMG for limb movements, pulse oximetry (PulseOx), ECG, and video or body sensor devices to confirm body position. Rising rates of sleep testing have created demand for an alternative to cumbersome, costly, and resource-intensive in-lab PSGs. As such, home sleep apnea testing (HSAT) has emerged as a simpler, more accessible, and cost-effective alternative diagnostic tool.

In 2007, the American Academy of Sleep Medicine (AASM) endorsed Portable Monitoring (PM) as an alternative to standard PSG, with the caveat that it should be used only in patients with a high pretest probability of sleep apnea, without respiratory or cardiovascular disorders and comorbid sleep disorders. All HSAT devices (type II-IV) are required to have a minimum of an oronasal thermal sensor/nasal pressure transducer, respiratory inductance plethysmography, and PulseOx. A major limitation of most HSAT devices is the lack of EEG, preventing detection of cortical arousals and wake time, forcing the use of total recording time as a surrogate for total sleep time.

Peripheral arterial tonometry (PAT)-based HSAT devices are unique in this respect, as their proprietary algorithms allow estimates of total sleep time by monitoring changes in peripheral vascular tone. Anyone who has seen a PAT-based HSAT may have noticed very different outputs from traditional HSATs.

PAT is based on the concept that airflow obstruction may lead to a surge in sympathetic tone, causing vasoconstriction and reduced blood volume in the peripheral vascular bed. A PAT-based device measures relative changes in blood volume and combines this information with actigraphy signals, PulseOx, and heart rate to diagnose the presence of respiratory events. Sleep apnea severity stratification is accomplished by the use of pAHI or pRDI (PAT-based apnea-hypopnea index and respiratory disturbance index, respectively).

PAT-based technology was first approved by the FDA in 2001 as a diagnostic tool for sleep apnea. The 2 best-known medical devices are WatchPAT^® and NightOwl^®, both of which have been FDA-approved and studied against PSG. To obtain an accurate and sustainable PAT signal, WatchPAT has a pneumo-optic finger probe designed to generate a uniform, subdiastolic pressure on the finger that minimizes venous blood pooling, prevents uncontrolled venous backflow, and effectively unloads the arterial wall tension without blocking digital arterial flow. NightOwl is a smaller device, with a single fingertip sensor that acquires actigraphy and PPG data to measure heart rate, Pulse Ox, and PAT.

The physiological basis of PAT relies on photoplethysmography (PPG), a noninvasive optical monitoring technique that generates a waveform, which ultimately correlates with the circulatory volume of the respective tissue.¹ The PPG technology relies on the fact that when a specific tissue is exposed to light signal of a specific wavelength, its absorbance by tissue fluctuates with arterial pulsations. Pulse oximetry represents the most used application of PPG. Recent advances in PPG signal analysis have fueled its use in clinical and consumer sleep technologies and allowed new capabilities, including capturing heart rate and rhythm, pulse rate variability, arterial stiffness, and even—with somewhat less accuracy—energy expenditure, maximum O2 consumption, and blood pressure. Combining actigraphy monitoring with PPG technology took both consumer and medical-grade sleep technologies further, allowing the estimation of parameters such as sleep stages, sleep times, and respiratory events. With myriad new sleep trackers claiming to assess total sleep time, wake time, light or deep sleep, and even respiratory events, the obvious clinical question is centered on their comparative accuracy, as well against more traditional PM and the gold standard PSG.

Numerous studies have evaluated the efficacy of PAT-based devices for diagnosing sleep apnea, with variable findings. Many have shown good correlations between mean AHI and pAHI. Others have highlighted significant discrepancies in the measurements between PSG and PAT, questioning the reliability of PAT-based devices in the diagnosis and severity stratification of OSA. One meta-analysis of 14 studies showed a high degree of correlation between pAHI and AHI.² Another study reported a concordance of 80% between PAT-based testing and consecutive PSG, with an increase to 86% at a higher AHI (>15/h).³ A subsequent meta-analysis showed that PAT was significantly less sensitive for diagnosing OSA than PSG, particularly for mild or moderate severity disease, emphasizing the need for further confirmation with PSG when faced with inconclusive or negative results.⁴ A large sleep clinic-based cohort study of 500 patients with OSA showed that WatchPAT devices misclassify OSA in a sizeable proportion of patients (30%-50%), leading to both over- and under-estimation of severity.⁵ Van Pee, et al, found that their PAT-based HSAT NightOwl performed better, using both the 3% and 4% hypopnea scoring rules and a novel near-border zone labeling.⁶

Some of the discordance in AHI between PAT and PSG appears to be related to age and sex. In our large sample comparing PAT to PSG, we found that using PAT-based data in concert with demographic (age, gender) and anthropometric (neck circumference, body mass index) variables improved the diagnostic accuracy of PAT-based testing.⁷ Another study concluded that manual scoring of WatchPAT automated results improved concordance with PSG, particularly in older participants and women. Several studies on WatchPAT recordings have demonstrated significant artifacts and inaccuracies in the PulseOx data. Although WatchPAT employs automated algorithms to remove erroneous data, a thorough visual inspection and manual correction of study data is still essential to derive accurate results.

Recent studies have found that PAT-based tests can also differentiate between central and obstructive respiratory events by using pulse signal upstroke variations caused by changes in intrathoracic pressure and respiratory/chest wall movement recorded by body position sensors, but large-scale studies are needed to confirm these findings. Korkalainen, et al, recently employed a deep-learning model to perform sleep staging on the PPG PulseOx signals from nearly 900 PSGs in patients with suspected OSA.⁸ The deep learning approach enabled the differentiation of sleep stages and accurate estimation of the total sleep time. Going forward, this could easily enhance the diagnostic yield of PM recordings and enable cost-efficient, long-term monitoring of sleep.

Although PAT-based home sleep tests have emerged as a simple and convenient option for the evaluation of sleep apnea, several studies have highlighted their limited sensitivity as a screening tool for mild and moderate cases of sleep apnea. Furthermore, the scope of these tests remains limited, rendering them rather unsuitable for assessment of more complex sleep disorders like narcolepsy or restless leg syndrome. Therefore, when OSA is suspected, the PAT-based sleep study is a good screening tool, but negative tests should not preclude further investigation. Where a high probability of sleep apnea exists but PAT-based testing shows no or mild OSA, an in-lab sleep study should be performed.


References

1. Ryals S, Chiang A, Schutte-Rodin S, et al. Photoplethysmography -- new applications for an old technology: a sleep technology review. J Clin Sleep Med. 2023;19(1):189-195.

2. Yalamanchali S, Farajian V, Hamilton C, Pott TR, Samuelson CG, Friedman M. Diagnosis of obstructive sleep apnea by peripheral arterial tonometry: meta-analysis. JAMA Otolaryngol Head Neck Surg. 2013;139(12):1343-1350.

3. Röcken J, Schumann DM, Herrmann MJ, et al. Peripheral arterial tonometry versus polysomnography in suspected obstructive sleep apnoea. Eur J Med Res. 2023;28(1):251.

4. Iftikhar IH, Finch CE, Shah AS, Augunstein CA, Ioachimescu OC. A meta-analysis of diagnostic test performance of peripheral arterial tonometry studies. J Clin Sleep Med. 2022;18(4):1093-1102.

5. Ioachimescu OC, Allam JS, Samarghandi A, et al. Performance of peripheral arterial tonometry-based testing for the diagnosis of obstructive sleep apnea in a large sleep clinic cohort. J Clin Sleep Med. 2020;16(10):1663-1674.

6. Van Pee B, Massie F, Vits S, et al. A multicentric validation study of a novel home sleep apnea test based on peripheral arterial tonometry. Sleep. 2022;45(5).

7. Ioachimescu OC, Dholakia SA, Venkateshiah SB, et al. Improving the performance of peripheral arterial tonometry-based testing for the diagnosis of obstructive sleep apnea. J Investig Med. 2020;68(8):1370-1378.

8. Korkalainen H, Aakko J, Duce B, et al. Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea. Sleep. 2020;43(11).
 

Irregular sleep duration was associated with a higher risk for diabetes in middle-aged to older adults in a new UK Biobank study.

The analysis of more than 84,000 participants with 7-day accelerometry data suggested that individuals with the most irregular sleep duration patterns had a 34% higher risk for diabetes compared with their peers who had more consistent sleep patterns.

“It’s recommended to have 7-9 hours of nightly sleep, but what is not considered much in policy guidelines or at the clinical level is how regularly that’s needed,” Sina Kianersi, PhD, of Brigham and Women’s Hospital in Boston, Massachusetts, said in an interview. “What our study added is that it’s not just the duration but keeping it consistent. Patients can reduce their risk of diabetes by maintaining their 7-9 hours of sleep, not just for 1 night but throughout life.”

The study was published online in Diabetes Care.
 

Modifiable Lifestyle Factor

Researchers analyzed data from 84,421 UK Biobank participants who were free of diabetes when they provided accelerometer data in 2013-2015 and who were followed for a median of 7.5 years (622,080 person-years).

Participants had an average age of 62 years, 57% were women, 97% were White individuals, and 50% were employed in non–shift work jobs.

Sleep duration variability was quantified by the within-person standard deviation (SD) of 7-night accelerometer-measured sleep duration.

Participants with higher sleep duration SD were younger and more likely to be women, shift workers, or current smokers; those who reported definite “evening” chronotype (natural preference of the body to sleep at a certain time); those having lower socioeconomic status, higher body mass index, and shorter mean sleep duration; and were less likely to be White individuals.

In addition, a family history of diabetes and of depression was more prevalent among these participants.

A total of 2058 incident diabetes cases occurred during follow-up.

After adjustment for age, sex, and race, compared with a sleep duration SD ≤ 30 minutes, the hazard ratio (HR) was 1.15 for 31-45 minutes, 1.28 for 46-60 minutes, 1.54 for 61-90 minutes, and 1.59 for ≥ 91 minutes.

After the initial adjustment, individuals with a sleep duration SD of > 60 vs ≤ 60 minutes had a 34% higher diabetes risk. However, further adjustment for lifestyle, comorbidities, environmental factors, and adiposity attenuated the association — ie, the HR comparing sleep duration SD of > 60 vs ≤ 60 minutes was 1.11.

Furthermore, researchers found that the association between sleep duration and diabetes was stronger among individuals with lower diabetes polygenic risk score. 

“One possible explanation for this finding is that the impact of sleep irregularity on diabetes risk may be less noticeable in individuals with a high genetic predisposition, where genetic factors dominate,” Dr. Kianersi said. “However, it is important to note that these sleep-gene interaction effects were not consistently observed across different measures and gene-related variables. This is something that remains to be further studied.”

Nevertheless, he added, “I want to emphasize that the association between irregular sleep duration and increased diabetes risk was evident across all levels of diabetes polygenic risk scores.”

The association also was stronger with longer sleep duration. The authors suggested that longer sleep duration “might reduce daylight exposure, which could, in turn, give rise to circadian disruption.”

Overall, Dr. Kianersi said, “Our study identified a modifiable lifestyle factor that can help lower the risk of developing type 2 diabetes.”

The study had several limitations. There was a time lag of a median of 5 years between sleep duration measurements and covariate assessments, which might bias lifestyle behaviors that may vary over time. In addition, a single 7-day sleep duration measurement may not capture long-term sleep patterns. A constrained random sampling approach was used to select participants, raising the potential of selection bias.
 

Regular Sleep Routine Best

Ana Krieger, MD, MPH, director of the Center for Sleep Medicine at Weill Cornell Medicine in New York City, commented on the study for this news organization. “This is a very interesting study, as it adds to the literature,” she said. “Previous research studies have shown metabolic abnormalities with variations in sleep time and duration.”

“This particular study evaluated a large sample of patients in the UK which were mostly White middle-aged and may not be representative of the general population,” she noted. “A similar study in a Hispanic/Latino group failed to demonstrate any significant association between sleep timing variability and incidence of diabetes. It would be desirable to see if prospective studies are able to demonstrate a reduction in diabetes risk by implementing a more regular sleep routine.”

The importance of the body’s natural circadian rhythm in regulating and anchoring many physiological processes was highlighted by the 2017 Nobel Prize of Medicine, which was awarded to three researchers in circadian biology, she pointed out.

“Alterations in the circadian rhythm are known to affect mood regulation, gastrointestinal function, and alertness, among other factors,” she said. “Keeping a regular sleep routine will help to improve our circadian rhythm and better regulate many processes, including our metabolism and appetite-controlling hormones.”

Notably, a study published online in Diabetologia in a racially and economically diverse US population also found that adults with persistent suboptimal sleep durations (< 7 or > 9 hours nightly over a mean of 5 years) were more likely to develop incident diabetes. The strongest association was found among participants reporting extreme changes and higher variability in their sleep durations.

This study was supported by the National Institutes of Health (grant number R01HL155395) and the UKB project 85501. Dr. Kianersi was supported by the American Heart Association Postdoctoral Fellowship. Dr. Kianersi and Dr. Krieger reported no conflicts of interest.

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

Irregular sleep duration was associated with a higher risk for diabetes in middle-aged to older adults in a new UK Biobank study.

The analysis of more than 84,000 participants with 7-day accelerometry data suggested that individuals with the most irregular sleep duration patterns had a 34% higher risk for diabetes compared with their peers who had more consistent sleep patterns.

“It’s recommended to have 7-9 hours of nightly sleep, but what is not considered much in policy guidelines or at the clinical level is how regularly that’s needed,” Sina Kianersi, PhD, of Brigham and Women’s Hospital in Boston, Massachusetts, said in an interview. “What our study added is that it’s not just the duration but keeping it consistent. Patients can reduce their risk of diabetes by maintaining their 7-9 hours of sleep, not just for 1 night but throughout life.”

The study was published online in Diabetes Care.
 

Modifiable Lifestyle Factor

Researchers analyzed data from 84,421 UK Biobank participants who were free of diabetes when they provided accelerometer data in 2013-2015 and who were followed for a median of 7.5 years (622,080 person-years).

Participants had an average age of 62 years, 57% were women, 97% were White individuals, and 50% were employed in non–shift work jobs.

Sleep duration variability was quantified by the within-person standard deviation (SD) of 7-night accelerometer-measured sleep duration.

Participants with higher sleep duration SD were younger and more likely to be women, shift workers, or current smokers; those who reported definite “evening” chronotype (natural preference of the body to sleep at a certain time); those having lower socioeconomic status, higher body mass index, and shorter mean sleep duration; and were less likely to be White individuals.

In addition, a family history of diabetes and of depression was more prevalent among these participants.

A total of 2058 incident diabetes cases occurred during follow-up.

After adjustment for age, sex, and race, compared with a sleep duration SD ≤ 30 minutes, the hazard ratio (HR) was 1.15 for 31-45 minutes, 1.28 for 46-60 minutes, 1.54 for 61-90 minutes, and 1.59 for ≥ 91 minutes.

After the initial adjustment, individuals with a sleep duration SD of > 60 vs ≤ 60 minutes had a 34% higher diabetes risk. However, further adjustment for lifestyle, comorbidities, environmental factors, and adiposity attenuated the association — ie, the HR comparing sleep duration SD of > 60 vs ≤ 60 minutes was 1.11.

Furthermore, researchers found that the association between sleep duration and diabetes was stronger among individuals with lower diabetes polygenic risk score. 

“One possible explanation for this finding is that the impact of sleep irregularity on diabetes risk may be less noticeable in individuals with a high genetic predisposition, where genetic factors dominate,” Dr. Kianersi said. “However, it is important to note that these sleep-gene interaction effects were not consistently observed across different measures and gene-related variables. This is something that remains to be further studied.”

Nevertheless, he added, “I want to emphasize that the association between irregular sleep duration and increased diabetes risk was evident across all levels of diabetes polygenic risk scores.”

The association also was stronger with longer sleep duration. The authors suggested that longer sleep duration “might reduce daylight exposure, which could, in turn, give rise to circadian disruption.”

Overall, Dr. Kianersi said, “Our study identified a modifiable lifestyle factor that can help lower the risk of developing type 2 diabetes.”

The study had several limitations. There was a time lag of a median of 5 years between sleep duration measurements and covariate assessments, which might bias lifestyle behaviors that may vary over time. In addition, a single 7-day sleep duration measurement may not capture long-term sleep patterns. A constrained random sampling approach was used to select participants, raising the potential of selection bias.
 

Regular Sleep Routine Best

Ana Krieger, MD, MPH, director of the Center for Sleep Medicine at Weill Cornell Medicine in New York City, commented on the study for this news organization. “This is a very interesting study, as it adds to the literature,” she said. “Previous research studies have shown metabolic abnormalities with variations in sleep time and duration.”

“This particular study evaluated a large sample of patients in the UK which were mostly White middle-aged and may not be representative of the general population,” she noted. “A similar study in a Hispanic/Latino group failed to demonstrate any significant association between sleep timing variability and incidence of diabetes. It would be desirable to see if prospective studies are able to demonstrate a reduction in diabetes risk by implementing a more regular sleep routine.”

The importance of the body’s natural circadian rhythm in regulating and anchoring many physiological processes was highlighted by the 2017 Nobel Prize of Medicine, which was awarded to three researchers in circadian biology, she pointed out.

“Alterations in the circadian rhythm are known to affect mood regulation, gastrointestinal function, and alertness, among other factors,” she said. “Keeping a regular sleep routine will help to improve our circadian rhythm and better regulate many processes, including our metabolism and appetite-controlling hormones.”

Notably, a study published online in Diabetologia in a racially and economically diverse US population also found that adults with persistent suboptimal sleep durations (< 7 or > 9 hours nightly over a mean of 5 years) were more likely to develop incident diabetes. The strongest association was found among participants reporting extreme changes and higher variability in their sleep durations.

This study was supported by the National Institutes of Health (grant number R01HL155395) and the UKB project 85501. Dr. Kianersi was supported by the American Heart Association Postdoctoral Fellowship. Dr. Kianersi and Dr. Krieger reported no conflicts of interest.

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

Irregular sleep duration was associated with a higher risk for diabetes in middle-aged to older adults in a new UK Biobank study.

The analysis of more than 84,000 participants with 7-day accelerometry data suggested that individuals with the most irregular sleep duration patterns had a 34% higher risk for diabetes compared with their peers who had more consistent sleep patterns.

“It’s recommended to have 7-9 hours of nightly sleep, but what is not considered much in policy guidelines or at the clinical level is how regularly that’s needed,” Sina Kianersi, PhD, of Brigham and Women’s Hospital in Boston, Massachusetts, said in an interview. “What our study added is that it’s not just the duration but keeping it consistent. Patients can reduce their risk of diabetes by maintaining their 7-9 hours of sleep, not just for 1 night but throughout life.”

The study was published online in Diabetes Care.
 

Modifiable Lifestyle Factor

Researchers analyzed data from 84,421 UK Biobank participants who were free of diabetes when they provided accelerometer data in 2013-2015 and who were followed for a median of 7.5 years (622,080 person-years).

Participants had an average age of 62 years, 57% were women, 97% were White individuals, and 50% were employed in non–shift work jobs.

Sleep duration variability was quantified by the within-person standard deviation (SD) of 7-night accelerometer-measured sleep duration.

Participants with higher sleep duration SD were younger and more likely to be women, shift workers, or current smokers; those who reported definite “evening” chronotype (natural preference of the body to sleep at a certain time); those having lower socioeconomic status, higher body mass index, and shorter mean sleep duration; and were less likely to be White individuals.

In addition, a family history of diabetes and of depression was more prevalent among these participants.

A total of 2058 incident diabetes cases occurred during follow-up.

After adjustment for age, sex, and race, compared with a sleep duration SD ≤ 30 minutes, the hazard ratio (HR) was 1.15 for 31-45 minutes, 1.28 for 46-60 minutes, 1.54 for 61-90 minutes, and 1.59 for ≥ 91 minutes.

After the initial adjustment, individuals with a sleep duration SD of > 60 vs ≤ 60 minutes had a 34% higher diabetes risk. However, further adjustment for lifestyle, comorbidities, environmental factors, and adiposity attenuated the association — ie, the HR comparing sleep duration SD of > 60 vs ≤ 60 minutes was 1.11.

Furthermore, researchers found that the association between sleep duration and diabetes was stronger among individuals with lower diabetes polygenic risk score. 

“One possible explanation for this finding is that the impact of sleep irregularity on diabetes risk may be less noticeable in individuals with a high genetic predisposition, where genetic factors dominate,” Dr. Kianersi said. “However, it is important to note that these sleep-gene interaction effects were not consistently observed across different measures and gene-related variables. This is something that remains to be further studied.”

Nevertheless, he added, “I want to emphasize that the association between irregular sleep duration and increased diabetes risk was evident across all levels of diabetes polygenic risk scores.”

The association also was stronger with longer sleep duration. The authors suggested that longer sleep duration “might reduce daylight exposure, which could, in turn, give rise to circadian disruption.”

Overall, Dr. Kianersi said, “Our study identified a modifiable lifestyle factor that can help lower the risk of developing type 2 diabetes.”

The study had several limitations. There was a time lag of a median of 5 years between sleep duration measurements and covariate assessments, which might bias lifestyle behaviors that may vary over time. In addition, a single 7-day sleep duration measurement may not capture long-term sleep patterns. A constrained random sampling approach was used to select participants, raising the potential of selection bias.
 

Regular Sleep Routine Best

Ana Krieger, MD, MPH, director of the Center for Sleep Medicine at Weill Cornell Medicine in New York City, commented on the study for this news organization. “This is a very interesting study, as it adds to the literature,” she said. “Previous research studies have shown metabolic abnormalities with variations in sleep time and duration.”

“This particular study evaluated a large sample of patients in the UK which were mostly White middle-aged and may not be representative of the general population,” she noted. “A similar study in a Hispanic/Latino group failed to demonstrate any significant association between sleep timing variability and incidence of diabetes. It would be desirable to see if prospective studies are able to demonstrate a reduction in diabetes risk by implementing a more regular sleep routine.”

The importance of the body’s natural circadian rhythm in regulating and anchoring many physiological processes was highlighted by the 2017 Nobel Prize of Medicine, which was awarded to three researchers in circadian biology, she pointed out.

“Alterations in the circadian rhythm are known to affect mood regulation, gastrointestinal function, and alertness, among other factors,” she said. “Keeping a regular sleep routine will help to improve our circadian rhythm and better regulate many processes, including our metabolism and appetite-controlling hormones.”

Notably, a study published online in Diabetologia in a racially and economically diverse US population also found that adults with persistent suboptimal sleep durations (< 7 or > 9 hours nightly over a mean of 5 years) were more likely to develop incident diabetes. The strongest association was found among participants reporting extreme changes and higher variability in their sleep durations.

This study was supported by the National Institutes of Health (grant number R01HL155395) and the UKB project 85501. Dr. Kianersi was supported by the American Heart Association Postdoctoral Fellowship. Dr. Kianersi and Dr. Krieger reported no conflicts of interest.

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