Sleep Medicine

Insomnia disorder appears to play a causal role in the development of new stressful life events, especially “dependent” events for which individuals are at least partly responsible, said the investigators of an ongoing longitudinal study of people who have experienced involuntary job loss.

The “stress-generation hypothesis” has been applied for several decades in the context of depression. It posits that depressed individuals generate more stressful life events – events that create family conflict or disrupt careers, for instance – than individuals who are not depressed.

The new analysis of individuals with involuntary job loss suggests that the same can be said of insomnia. “Insomnia disorder is associated with fatigue, daytime sleepiness, impaired concentration, and difficulties in emotional regulation,” Iva Skobic, MSPH, MA, a PhD student at the University of Arizona, Tucson, said at the virtual annual meeting of the Associated Professional Sleep Societies.

“These may lead to impaired decision-making, interpersonal conflicts, difficulty meeting deadlines and keeping commitments, and other sources [of stressful life events],” she said. “This extension of the stress-generation hypothesis has important implications for harm reduction interventions for insomnia disorder.”

Investigators conducted a cross-lagged panel analysis using baseline and 3-month follow-up data from 137 individuals who completed a standardized, textual life event measure called the Life Events and Difficulties Schedule after having lost their jobs involuntarily. Participants were interviewed and their events were rated for severity by a consensus panel using operationalized criteria. The analysis employed linear regression controlling for covariates (age, gender, and race) and logistic regression that controlled for insomnia at baseline. Insomnia disorder was defined as meeting ICSD-2/3 criteria using the Duke Structured Interview for Sleep Disorders.

The findings: Insomnia disorder at baseline predicted the number of stressful life events (either dependent or interpersonal) generated within 3 months (beta, 0.70; standard error, 0.31; Tscore, 2.27; P = .03). Conversely, the number of stressful events at baseline did not predict insomnia (odds ratio, 0.97; 95% confidence interval, 0.73-1.29). There also was a trend toward increased generation of dependent events specifically among those with insomnia disorder.

Participants were a mean age of 42 years, and all had been in their previous place of employment for at least 6 months. Nearly 60% met the diagnostic threshold for insomnia at baseline. They were part of a larger ongoing study examining the linkages between job loss and sleep disturbances, obesity, and mental health – the Assessing Daily Activity Patterns through Occupational Transitions (ADAPT) study, supported by the National Heart, Lung, and Blood Institute.

This analysis on insomnia was completed before the COVID-19 pandemic began, but it and other analyses soon to be reported are highly relevant to the economic climate, said Patricia Haynes, PhD, principal investigator of ADAPT and a coauthor of the insomnia study, in an interview after the meeting.

Insomnia is a frequent comorbidity of depression and shares many of its symptoms, from increased fatigue to emotional dysregulation and an increased risk of maladaptive coping strategies. “Interestingly, the literature on the stress-generation hypothesis posits that these very symptoms are on the casual pathway between depression and stressful life events,” said Ms. Skobic at the meeting.

In commenting on the study, Krishna M. Sundar, MD, medical director of the Sleep-Wake Center at the University of Utah, Salt Lake City, noted that the analysis did not include any measure of the severity of insomnia. Still, he said, “finding an association [with stress generation] at [just] 3 months with the presence of insomnia disorder is quite interesting.”

There were higher rates of insomnia in the sample than depression, Dr. Haynes said, but the analysis did not control for depression or take it into account.

“We know [from prior research] that stress clearly leads to insomnia. The big [takeaway] here is that insomnia can also lead to more stress,” she said. “It’s important to think of it as a reciprocal relationship. If we can potentially treat insomnia, we may be able to stop that cycle of other stressful events that affect both [the individuals] and others as well.”

Ms. Skobic had no disclosures.

Insomnia disorder appears to play a causal role in the development of new stressful life events, especially “dependent” events for which individuals are at least partly responsible, said the investigators of an ongoing longitudinal study of people who have experienced involuntary job loss.

The “stress-generation hypothesis” has been applied for several decades in the context of depression. It posits that depressed individuals generate more stressful life events – events that create family conflict or disrupt careers, for instance – than individuals who are not depressed.

The new analysis of individuals with involuntary job loss suggests that the same can be said of insomnia. “Insomnia disorder is associated with fatigue, daytime sleepiness, impaired concentration, and difficulties in emotional regulation,” Iva Skobic, MSPH, MA, a PhD student at the University of Arizona, Tucson, said at the virtual annual meeting of the Associated Professional Sleep Societies.

“These may lead to impaired decision-making, interpersonal conflicts, difficulty meeting deadlines and keeping commitments, and other sources [of stressful life events],” she said. “This extension of the stress-generation hypothesis has important implications for harm reduction interventions for insomnia disorder.”

Investigators conducted a cross-lagged panel analysis using baseline and 3-month follow-up data from 137 individuals who completed a standardized, textual life event measure called the Life Events and Difficulties Schedule after having lost their jobs involuntarily. Participants were interviewed and their events were rated for severity by a consensus panel using operationalized criteria. The analysis employed linear regression controlling for covariates (age, gender, and race) and logistic regression that controlled for insomnia at baseline. Insomnia disorder was defined as meeting ICSD-2/3 criteria using the Duke Structured Interview for Sleep Disorders.

The findings: Insomnia disorder at baseline predicted the number of stressful life events (either dependent or interpersonal) generated within 3 months (beta, 0.70; standard error, 0.31; Tscore, 2.27; P = .03). Conversely, the number of stressful events at baseline did not predict insomnia (odds ratio, 0.97; 95% confidence interval, 0.73-1.29). There also was a trend toward increased generation of dependent events specifically among those with insomnia disorder.

Participants were a mean age of 42 years, and all had been in their previous place of employment for at least 6 months. Nearly 60% met the diagnostic threshold for insomnia at baseline. They were part of a larger ongoing study examining the linkages between job loss and sleep disturbances, obesity, and mental health – the Assessing Daily Activity Patterns through Occupational Transitions (ADAPT) study, supported by the National Heart, Lung, and Blood Institute.

This analysis on insomnia was completed before the COVID-19 pandemic began, but it and other analyses soon to be reported are highly relevant to the economic climate, said Patricia Haynes, PhD, principal investigator of ADAPT and a coauthor of the insomnia study, in an interview after the meeting.

Insomnia is a frequent comorbidity of depression and shares many of its symptoms, from increased fatigue to emotional dysregulation and an increased risk of maladaptive coping strategies. “Interestingly, the literature on the stress-generation hypothesis posits that these very symptoms are on the casual pathway between depression and stressful life events,” said Ms. Skobic at the meeting.

In commenting on the study, Krishna M. Sundar, MD, medical director of the Sleep-Wake Center at the University of Utah, Salt Lake City, noted that the analysis did not include any measure of the severity of insomnia. Still, he said, “finding an association [with stress generation] at [just] 3 months with the presence of insomnia disorder is quite interesting.”

There were higher rates of insomnia in the sample than depression, Dr. Haynes said, but the analysis did not control for depression or take it into account.

“We know [from prior research] that stress clearly leads to insomnia. The big [takeaway] here is that insomnia can also lead to more stress,” she said. “It’s important to think of it as a reciprocal relationship. If we can potentially treat insomnia, we may be able to stop that cycle of other stressful events that affect both [the individuals] and others as well.”

Ms. Skobic had no disclosures.

Insomnia disorder appears to play a causal role in the development of new stressful life events, especially “dependent” events for which individuals are at least partly responsible, said the investigators of an ongoing longitudinal study of people who have experienced involuntary job loss.

The “stress-generation hypothesis” has been applied for several decades in the context of depression. It posits that depressed individuals generate more stressful life events – events that create family conflict or disrupt careers, for instance – than individuals who are not depressed.

The new analysis of individuals with involuntary job loss suggests that the same can be said of insomnia. “Insomnia disorder is associated with fatigue, daytime sleepiness, impaired concentration, and difficulties in emotional regulation,” Iva Skobic, MSPH, MA, a PhD student at the University of Arizona, Tucson, said at the virtual annual meeting of the Associated Professional Sleep Societies.

“These may lead to impaired decision-making, interpersonal conflicts, difficulty meeting deadlines and keeping commitments, and other sources [of stressful life events],” she said. “This extension of the stress-generation hypothesis has important implications for harm reduction interventions for insomnia disorder.”

Investigators conducted a cross-lagged panel analysis using baseline and 3-month follow-up data from 137 individuals who completed a standardized, textual life event measure called the Life Events and Difficulties Schedule after having lost their jobs involuntarily. Participants were interviewed and their events were rated for severity by a consensus panel using operationalized criteria. The analysis employed linear regression controlling for covariates (age, gender, and race) and logistic regression that controlled for insomnia at baseline. Insomnia disorder was defined as meeting ICSD-2/3 criteria using the Duke Structured Interview for Sleep Disorders.

The findings: Insomnia disorder at baseline predicted the number of stressful life events (either dependent or interpersonal) generated within 3 months (beta, 0.70; standard error, 0.31; Tscore, 2.27; P = .03). Conversely, the number of stressful events at baseline did not predict insomnia (odds ratio, 0.97; 95% confidence interval, 0.73-1.29). There also was a trend toward increased generation of dependent events specifically among those with insomnia disorder.

Participants were a mean age of 42 years, and all had been in their previous place of employment for at least 6 months. Nearly 60% met the diagnostic threshold for insomnia at baseline. They were part of a larger ongoing study examining the linkages between job loss and sleep disturbances, obesity, and mental health – the Assessing Daily Activity Patterns through Occupational Transitions (ADAPT) study, supported by the National Heart, Lung, and Blood Institute.

This analysis on insomnia was completed before the COVID-19 pandemic began, but it and other analyses soon to be reported are highly relevant to the economic climate, said Patricia Haynes, PhD, principal investigator of ADAPT and a coauthor of the insomnia study, in an interview after the meeting.

Insomnia is a frequent comorbidity of depression and shares many of its symptoms, from increased fatigue to emotional dysregulation and an increased risk of maladaptive coping strategies. “Interestingly, the literature on the stress-generation hypothesis posits that these very symptoms are on the casual pathway between depression and stressful life events,” said Ms. Skobic at the meeting.

In commenting on the study, Krishna M. Sundar, MD, medical director of the Sleep-Wake Center at the University of Utah, Salt Lake City, noted that the analysis did not include any measure of the severity of insomnia. Still, he said, “finding an association [with stress generation] at [just] 3 months with the presence of insomnia disorder is quite interesting.”

There were higher rates of insomnia in the sample than depression, Dr. Haynes said, but the analysis did not control for depression or take it into account.

“We know [from prior research] that stress clearly leads to insomnia. The big [takeaway] here is that insomnia can also lead to more stress,” she said. “It’s important to think of it as a reciprocal relationship. If we can potentially treat insomnia, we may be able to stop that cycle of other stressful events that affect both [the individuals] and others as well.”

Ms. Skobic had no disclosures.

Obstructive sleep apnea (OSA) treatment with positive airway pressure (PAP) therapy was associated with a lower odds of incident Alzheimer’s disease and other dementia in a large retrospective cohort study of Medicare patients with the sleep disorder.

Courtesy ResMed

The study builds on research linking OSA to poor cognitive outcomes and dementia syndromes. With use of a 5% random sample of Medicare beneficiaries (more than 2.7 million) and their claims data, investigators identified approximately 53,000 who had an OSA diagnosis prior to 2011.

Of these Medicare beneficiaries, 78% with OSA were identified as “PAP-treated” based on having at least one durable medical equipment claim for PAP equipment. And of those treated, 74% were identified as “PAP adherent” based on having more than two PAP equipment claims separated by at least a month, said Galit Levi Dunietz, PhD, MPH, at the virtual annual meeting of the Associated Professional Sleep Societies.

Dr. Dunietz and her coinvestigators used logistic regression to examine the associations between PAP treatment and PAP treatment adherence, and incident ICD-9 diagnoses of Alzheimer’s disease (AD), mild cognitive impairment (MCI), and dementia not otherwise specified (DNOS) over the period 2011-2013.

After adjustments for potential confounders (age, sex, race, stroke, hypertension, cardiovascular disease, and depression), OSA treatment was associated with a significantly lower odds of a diagnosis of AD (odds ratio, 0.78; 95% confidence interval 0.69-0.89) or DNOS (OR, 0.69; 95% CI, 0.55-0.85), as well as nonsignificantly lower odds of MCI diagnosis (OR, 0.82; 95% CI, 0.66-1.02).

“People who are treated for OSA have a 22% reduced odds of being diagnosed with AD and a 31% reduced odds of getting DNOS,” said Dr. Dunietz, from the University of Michigan in Ann Arbor, in an interview after the meeting. “The 18% reduced odds of mild cognitive disorder is not really significant because the upper bound is 1.02, but we consider it approaching significance.”

Adherence to treatment was significantly associated with lower odds of AD, but not with significantly lower odds of DNOS or MCI, she said. OSA was confirmed by ICD-9 diagnosis codes plus the presence of relevant polysomnography current procedural terminology code.

All told, the findings “suggest that PAP therapy for OSA may lower short-term risk for dementia in older persons,” Dr. Dunietz and her co-nvestigators said in their poster presentation. “If a causal pathway exists between OSA and dementia, treatment of OSA may offer new opportunities to improve cognitive outcomes in older adults with OSA.”

Andrew W. Varga, MD, of the division of pulmonary, critical care, and sleep medicine at the Icahn School of Medicine at Mount Sinai and the Mount Sinai Integrative Sleep Center, both in New York, said that cognitive impairment is now a recognized clinical consequence of OSA and that OSA treatment could be a target for the prevention of cognitive impairment and Alzheimer’s disease in particular.

“I absolutely bring it up with patients in their 60s and 70s. I’m honest – I say, there seems to be more and more evidence for links between apnea and Alzheimer’s in particular. I tell them we don’t know 100% whether PAP reverses any of this, but it stands to reason that it does,” said Dr. Varga, who was asked to comment on the study and related research.

An analysis published several years ago in Neurology from the Alzheimer’s Disease Neuroimaging Initiative cohort found that patients with self-reported sleep apnea had a younger age of MCI or AD onset (about 10 years) and that patients who used continuous positive airway pressure had a delayed age of onset. “Those who had a subjective diagnosis of sleep apnea and who also reported using CPAP as treatment seemed to go in the opposite direction,” said Dr. Varga, a coauthor of that study. “They had an onset of AD that looked just like people who had no sleep apnea.”

While this study was limited by sleep apnea being self-reported – and by the lack of severity data – the newly reported study may be limited by the use of ICD codes and the fact that OSA is often entered into patient’s chart before diagnosis is confirmed through a sleep study, Dr. Varga said.

“The field is mature enough that we should be thinking of doing honest and rigorous clinical trials for sleep apnea with cognitive outcomes being a main measure of interest,” he said. “The issue we’re struggling with in the field is that such a trial would not be short.”

There are several theories for the link between OSA and cognitive impairment, he said, including disruptions in sleep architecture leading to increased production of amyloid and tau and/or decreased “clearance” of extracellular amyloid, neuronal sensitivity to hypoxia, and cardiovascular comorbidities.

Dr. Dunietz’s study was supported by The American Academy of Sleep Medicine Foundation. She reported having no disclosures. Dr. Varga said he has no relevant disclosures.

Obstructive sleep apnea (OSA) treatment with positive airway pressure (PAP) therapy was associated with a lower odds of incident Alzheimer’s disease and other dementia in a large retrospective cohort study of Medicare patients with the sleep disorder.

Courtesy ResMed

The study builds on research linking OSA to poor cognitive outcomes and dementia syndromes. With use of a 5% random sample of Medicare beneficiaries (more than 2.7 million) and their claims data, investigators identified approximately 53,000 who had an OSA diagnosis prior to 2011.

Of these Medicare beneficiaries, 78% with OSA were identified as “PAP-treated” based on having at least one durable medical equipment claim for PAP equipment. And of those treated, 74% were identified as “PAP adherent” based on having more than two PAP equipment claims separated by at least a month, said Galit Levi Dunietz, PhD, MPH, at the virtual annual meeting of the Associated Professional Sleep Societies.

Dr. Dunietz and her coinvestigators used logistic regression to examine the associations between PAP treatment and PAP treatment adherence, and incident ICD-9 diagnoses of Alzheimer’s disease (AD), mild cognitive impairment (MCI), and dementia not otherwise specified (DNOS) over the period 2011-2013.

After adjustments for potential confounders (age, sex, race, stroke, hypertension, cardiovascular disease, and depression), OSA treatment was associated with a significantly lower odds of a diagnosis of AD (odds ratio, 0.78; 95% confidence interval 0.69-0.89) or DNOS (OR, 0.69; 95% CI, 0.55-0.85), as well as nonsignificantly lower odds of MCI diagnosis (OR, 0.82; 95% CI, 0.66-1.02).

“People who are treated for OSA have a 22% reduced odds of being diagnosed with AD and a 31% reduced odds of getting DNOS,” said Dr. Dunietz, from the University of Michigan in Ann Arbor, in an interview after the meeting. “The 18% reduced odds of mild cognitive disorder is not really significant because the upper bound is 1.02, but we consider it approaching significance.”

Adherence to treatment was significantly associated with lower odds of AD, but not with significantly lower odds of DNOS or MCI, she said. OSA was confirmed by ICD-9 diagnosis codes plus the presence of relevant polysomnography current procedural terminology code.

All told, the findings “suggest that PAP therapy for OSA may lower short-term risk for dementia in older persons,” Dr. Dunietz and her co-nvestigators said in their poster presentation. “If a causal pathway exists between OSA and dementia, treatment of OSA may offer new opportunities to improve cognitive outcomes in older adults with OSA.”

Andrew W. Varga, MD, of the division of pulmonary, critical care, and sleep medicine at the Icahn School of Medicine at Mount Sinai and the Mount Sinai Integrative Sleep Center, both in New York, said that cognitive impairment is now a recognized clinical consequence of OSA and that OSA treatment could be a target for the prevention of cognitive impairment and Alzheimer’s disease in particular.

“I absolutely bring it up with patients in their 60s and 70s. I’m honest – I say, there seems to be more and more evidence for links between apnea and Alzheimer’s in particular. I tell them we don’t know 100% whether PAP reverses any of this, but it stands to reason that it does,” said Dr. Varga, who was asked to comment on the study and related research.

An analysis published several years ago in Neurology from the Alzheimer’s Disease Neuroimaging Initiative cohort found that patients with self-reported sleep apnea had a younger age of MCI or AD onset (about 10 years) and that patients who used continuous positive airway pressure had a delayed age of onset. “Those who had a subjective diagnosis of sleep apnea and who also reported using CPAP as treatment seemed to go in the opposite direction,” said Dr. Varga, a coauthor of that study. “They had an onset of AD that looked just like people who had no sleep apnea.”

While this study was limited by sleep apnea being self-reported – and by the lack of severity data – the newly reported study may be limited by the use of ICD codes and the fact that OSA is often entered into patient’s chart before diagnosis is confirmed through a sleep study, Dr. Varga said.

“The field is mature enough that we should be thinking of doing honest and rigorous clinical trials for sleep apnea with cognitive outcomes being a main measure of interest,” he said. “The issue we’re struggling with in the field is that such a trial would not be short.”

There are several theories for the link between OSA and cognitive impairment, he said, including disruptions in sleep architecture leading to increased production of amyloid and tau and/or decreased “clearance” of extracellular amyloid, neuronal sensitivity to hypoxia, and cardiovascular comorbidities.

Dr. Dunietz’s study was supported by The American Academy of Sleep Medicine Foundation. She reported having no disclosures. Dr. Varga said he has no relevant disclosures.

Obstructive sleep apnea (OSA) treatment with positive airway pressure (PAP) therapy was associated with a lower odds of incident Alzheimer’s disease and other dementia in a large retrospective cohort study of Medicare patients with the sleep disorder.

Courtesy ResMed

The study builds on research linking OSA to poor cognitive outcomes and dementia syndromes. With use of a 5% random sample of Medicare beneficiaries (more than 2.7 million) and their claims data, investigators identified approximately 53,000 who had an OSA diagnosis prior to 2011.

Of these Medicare beneficiaries, 78% with OSA were identified as “PAP-treated” based on having at least one durable medical equipment claim for PAP equipment. And of those treated, 74% were identified as “PAP adherent” based on having more than two PAP equipment claims separated by at least a month, said Galit Levi Dunietz, PhD, MPH, at the virtual annual meeting of the Associated Professional Sleep Societies.

Dr. Dunietz and her coinvestigators used logistic regression to examine the associations between PAP treatment and PAP treatment adherence, and incident ICD-9 diagnoses of Alzheimer’s disease (AD), mild cognitive impairment (MCI), and dementia not otherwise specified (DNOS) over the period 2011-2013.

After adjustments for potential confounders (age, sex, race, stroke, hypertension, cardiovascular disease, and depression), OSA treatment was associated with a significantly lower odds of a diagnosis of AD (odds ratio, 0.78; 95% confidence interval 0.69-0.89) or DNOS (OR, 0.69; 95% CI, 0.55-0.85), as well as nonsignificantly lower odds of MCI diagnosis (OR, 0.82; 95% CI, 0.66-1.02).

“People who are treated for OSA have a 22% reduced odds of being diagnosed with AD and a 31% reduced odds of getting DNOS,” said Dr. Dunietz, from the University of Michigan in Ann Arbor, in an interview after the meeting. “The 18% reduced odds of mild cognitive disorder is not really significant because the upper bound is 1.02, but we consider it approaching significance.”

Adherence to treatment was significantly associated with lower odds of AD, but not with significantly lower odds of DNOS or MCI, she said. OSA was confirmed by ICD-9 diagnosis codes plus the presence of relevant polysomnography current procedural terminology code.

All told, the findings “suggest that PAP therapy for OSA may lower short-term risk for dementia in older persons,” Dr. Dunietz and her co-nvestigators said in their poster presentation. “If a causal pathway exists between OSA and dementia, treatment of OSA may offer new opportunities to improve cognitive outcomes in older adults with OSA.”

Andrew W. Varga, MD, of the division of pulmonary, critical care, and sleep medicine at the Icahn School of Medicine at Mount Sinai and the Mount Sinai Integrative Sleep Center, both in New York, said that cognitive impairment is now a recognized clinical consequence of OSA and that OSA treatment could be a target for the prevention of cognitive impairment and Alzheimer’s disease in particular.

“I absolutely bring it up with patients in their 60s and 70s. I’m honest – I say, there seems to be more and more evidence for links between apnea and Alzheimer’s in particular. I tell them we don’t know 100% whether PAP reverses any of this, but it stands to reason that it does,” said Dr. Varga, who was asked to comment on the study and related research.

An analysis published several years ago in Neurology from the Alzheimer’s Disease Neuroimaging Initiative cohort found that patients with self-reported sleep apnea had a younger age of MCI or AD onset (about 10 years) and that patients who used continuous positive airway pressure had a delayed age of onset. “Those who had a subjective diagnosis of sleep apnea and who also reported using CPAP as treatment seemed to go in the opposite direction,” said Dr. Varga, a coauthor of that study. “They had an onset of AD that looked just like people who had no sleep apnea.”

While this study was limited by sleep apnea being self-reported – and by the lack of severity data – the newly reported study may be limited by the use of ICD codes and the fact that OSA is often entered into patient’s chart before diagnosis is confirmed through a sleep study, Dr. Varga said.

“The field is mature enough that we should be thinking of doing honest and rigorous clinical trials for sleep apnea with cognitive outcomes being a main measure of interest,” he said. “The issue we’re struggling with in the field is that such a trial would not be short.”

There are several theories for the link between OSA and cognitive impairment, he said, including disruptions in sleep architecture leading to increased production of amyloid and tau and/or decreased “clearance” of extracellular amyloid, neuronal sensitivity to hypoxia, and cardiovascular comorbidities.

Dr. Dunietz’s study was supported by The American Academy of Sleep Medicine Foundation. She reported having no disclosures. Dr. Varga said he has no relevant disclosures.

A change in rapid eye movement sleeping pattern as measured by quantitative EEG in patients with major depressive disorder after just a single week on a first-line antidepressant predicts eventual clinical response or nonresponse to the medication weeks later, Thorsten Mikoteit, MD, reported at the virtual congress of the European College of Neuropsychopharmacology.

This finding from a small, randomized, controlled trial opens the door to a novel biomarker-based treatment strategy: namely, an immediate switch to a different antidepressant in predicted nonresponders to the first agent. The goal is to improve the final treatment response rate while collapsing the time required to get there, explained Dr. Mikoteit, a psychiatrist affiliated with the University of Basel (Switzerland).

“In real terms, it means that patients, often in the depths of despair, might not need to wait weeks to see if their therapy is working before modifying their treatment,” he observed.

There is a huge unmet need for a biomarker predictive of response to antidepressant medication in patients with major depression, the psychiatrist added. At present, the treatment response rate is unsatisfactory. Moreover, clinical improvement takes a long time to achieve, often requiring several rounds of therapeutic trials during which patients are exposed to weeks of unpleasant side effects of drugs that are ultimately switched out for lack of efficacy or poor tolerance.

The quantitative EEG biomarker under investigation is prefrontal theta cordance (PTC) during REM sleep. It is computed from the absolute and relative theta power in tonic REM sleep. PTC has been shown to correlate with frontocingulate brain activity and cerebral blood perfusion. In an earlier pilot study, Dr. Mikoteit and coinvestigators demonstrated in 33 patients who were experiencing a depressive episode that an increase in PTC after their first week on an antidepressant was associated a significantly increased treatment response rate at the end of the fourth week on the drug, while nonresponders failed to show such increase (J Psychiatr Res. 2017 Sep;92:64-73).

At ECNP 2020, Dr. Mikoteit presented preliminary results from an ongoing randomized, controlled trial including 37 patients hospitalized for major depressive disorder. All underwent baseline evaluation using the Hamilton Depression Rating Scale (HAMD) and were placed on the first-line antidepressant of their psychiatrist’s choice. After 1 week of therapy, participants underwent polysomnography with PTC measurement during tonic REM sleep.

Twenty-two patients were randomized to the intervention arm, in which investigators informed treating psychiatrists of the PTC results. The clinicians were instructed to change to another antidepressant if the biomarker predicted nonresponse or stay the course if the PTC results were favorable. Polysomnography was repeated 1 week later in the intervention arm, and the second-line antidepressant was either continued or switched out depending on the PTC findings. In the control arm, psychiatrists weren’t informed of the PTC results and patients continued on their initial antidepressant. The intervention and control groups were comparable in terms of age, sex, and severity of depression, with an average baseline HAMD score of 22.

A treatment response was defined as at least a 50% reduction in HAMD score from baseline to week 5. About 86% of patients who switched antidepressants based upon their 1-week quantitative EEG findings were categorized as treatment responders at week 5, compared with 20% of controls.

The overall 5-week response rate in the intervention group was 73%, compared with 60% in the control arm. This favorable trend didn’t achieve statistical significance, presumably because of the study’s sample size; however, the study is continuing to enroll participants in order to achieve a definitive result.

Dr. Mikoteit noted that the cost and inconvenience of spending a night in a sleep laboratory would be worthwhile if it resulted in the ability to give effective treatment much sooner. This would be particularly advantageous in patients at increased risk for suicide.

“If this is confirmed to be effective, it will save lives,” he said.
 

Study could have “enormous implications”

Of note, in the landmark National Institute of Mental Health–sponsored Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, slightly less than half of patients with major depressive disorder achieved a treatment response to their first-line antidepressant, and it took an average of 6 weeks of therapy to do. About one in four nonresponders who chose to switch to a different antidepressant got better.

“The STAR*D trial is still the gold standard for understanding antidepressant response, and so being able to see if an antidepressant works within 1 week would be a real breakthrough,” Catherine Harmer, DPhil, said in an interview.

“Most of the time, patients need to wait for around 4 weeks before they can tell if they are responding to a particular antidepressant or not. This is a hugely disabling and lengthy process, and often a different treatment then needs to be started,” added Dr. Harmer, professor of cognitive neuroscience and director of the Psychopharmacology and Emotional Research Lab at the University of Oxford (England).

“If the study results presented by Dr. Mikoteit are replicated in a larger blinded study, then it would have enormous implications for the future treatment of individuals with depression,” according to Dr. Harmer, who was not involved in the study and has no conflicts of interest related to it.

Dr. Mikoteit reported having no financial conflicts regarding the study, funded by the Psychiatric University Hospital of Basel.

[email protected]

SOURCE: Mikoteit T et al. ECNP 2020, Abstract P.733.

A change in rapid eye movement sleeping pattern as measured by quantitative EEG in patients with major depressive disorder after just a single week on a first-line antidepressant predicts eventual clinical response or nonresponse to the medication weeks later, Thorsten Mikoteit, MD, reported at the virtual congress of the European College of Neuropsychopharmacology.

This finding from a small, randomized, controlled trial opens the door to a novel biomarker-based treatment strategy: namely, an immediate switch to a different antidepressant in predicted nonresponders to the first agent. The goal is to improve the final treatment response rate while collapsing the time required to get there, explained Dr. Mikoteit, a psychiatrist affiliated with the University of Basel (Switzerland).

“In real terms, it means that patients, often in the depths of despair, might not need to wait weeks to see if their therapy is working before modifying their treatment,” he observed.

There is a huge unmet need for a biomarker predictive of response to antidepressant medication in patients with major depression, the psychiatrist added. At present, the treatment response rate is unsatisfactory. Moreover, clinical improvement takes a long time to achieve, often requiring several rounds of therapeutic trials during which patients are exposed to weeks of unpleasant side effects of drugs that are ultimately switched out for lack of efficacy or poor tolerance.

The quantitative EEG biomarker under investigation is prefrontal theta cordance (PTC) during REM sleep. It is computed from the absolute and relative theta power in tonic REM sleep. PTC has been shown to correlate with frontocingulate brain activity and cerebral blood perfusion. In an earlier pilot study, Dr. Mikoteit and coinvestigators demonstrated in 33 patients who were experiencing a depressive episode that an increase in PTC after their first week on an antidepressant was associated a significantly increased treatment response rate at the end of the fourth week on the drug, while nonresponders failed to show such increase (J Psychiatr Res. 2017 Sep;92:64-73).

At ECNP 2020, Dr. Mikoteit presented preliminary results from an ongoing randomized, controlled trial including 37 patients hospitalized for major depressive disorder. All underwent baseline evaluation using the Hamilton Depression Rating Scale (HAMD) and were placed on the first-line antidepressant of their psychiatrist’s choice. After 1 week of therapy, participants underwent polysomnography with PTC measurement during tonic REM sleep.

Twenty-two patients were randomized to the intervention arm, in which investigators informed treating psychiatrists of the PTC results. The clinicians were instructed to change to another antidepressant if the biomarker predicted nonresponse or stay the course if the PTC results were favorable. Polysomnography was repeated 1 week later in the intervention arm, and the second-line antidepressant was either continued or switched out depending on the PTC findings. In the control arm, psychiatrists weren’t informed of the PTC results and patients continued on their initial antidepressant. The intervention and control groups were comparable in terms of age, sex, and severity of depression, with an average baseline HAMD score of 22.

A treatment response was defined as at least a 50% reduction in HAMD score from baseline to week 5. About 86% of patients who switched antidepressants based upon their 1-week quantitative EEG findings were categorized as treatment responders at week 5, compared with 20% of controls.

The overall 5-week response rate in the intervention group was 73%, compared with 60% in the control arm. This favorable trend didn’t achieve statistical significance, presumably because of the study’s sample size; however, the study is continuing to enroll participants in order to achieve a definitive result.

Dr. Mikoteit noted that the cost and inconvenience of spending a night in a sleep laboratory would be worthwhile if it resulted in the ability to give effective treatment much sooner. This would be particularly advantageous in patients at increased risk for suicide.

“If this is confirmed to be effective, it will save lives,” he said.
 

Study could have “enormous implications”

Of note, in the landmark National Institute of Mental Health–sponsored Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, slightly less than half of patients with major depressive disorder achieved a treatment response to their first-line antidepressant, and it took an average of 6 weeks of therapy to do. About one in four nonresponders who chose to switch to a different antidepressant got better.

“The STAR*D trial is still the gold standard for understanding antidepressant response, and so being able to see if an antidepressant works within 1 week would be a real breakthrough,” Catherine Harmer, DPhil, said in an interview.

“Most of the time, patients need to wait for around 4 weeks before they can tell if they are responding to a particular antidepressant or not. This is a hugely disabling and lengthy process, and often a different treatment then needs to be started,” added Dr. Harmer, professor of cognitive neuroscience and director of the Psychopharmacology and Emotional Research Lab at the University of Oxford (England).

“If the study results presented by Dr. Mikoteit are replicated in a larger blinded study, then it would have enormous implications for the future treatment of individuals with depression,” according to Dr. Harmer, who was not involved in the study and has no conflicts of interest related to it.

Dr. Mikoteit reported having no financial conflicts regarding the study, funded by the Psychiatric University Hospital of Basel.

[email protected]

SOURCE: Mikoteit T et al. ECNP 2020, Abstract P.733.

A change in rapid eye movement sleeping pattern as measured by quantitative EEG in patients with major depressive disorder after just a single week on a first-line antidepressant predicts eventual clinical response or nonresponse to the medication weeks later, Thorsten Mikoteit, MD, reported at the virtual congress of the European College of Neuropsychopharmacology.

This finding from a small, randomized, controlled trial opens the door to a novel biomarker-based treatment strategy: namely, an immediate switch to a different antidepressant in predicted nonresponders to the first agent. The goal is to improve the final treatment response rate while collapsing the time required to get there, explained Dr. Mikoteit, a psychiatrist affiliated with the University of Basel (Switzerland).

“In real terms, it means that patients, often in the depths of despair, might not need to wait weeks to see if their therapy is working before modifying their treatment,” he observed.

There is a huge unmet need for a biomarker predictive of response to antidepressant medication in patients with major depression, the psychiatrist added. At present, the treatment response rate is unsatisfactory. Moreover, clinical improvement takes a long time to achieve, often requiring several rounds of therapeutic trials during which patients are exposed to weeks of unpleasant side effects of drugs that are ultimately switched out for lack of efficacy or poor tolerance.

The quantitative EEG biomarker under investigation is prefrontal theta cordance (PTC) during REM sleep. It is computed from the absolute and relative theta power in tonic REM sleep. PTC has been shown to correlate with frontocingulate brain activity and cerebral blood perfusion. In an earlier pilot study, Dr. Mikoteit and coinvestigators demonstrated in 33 patients who were experiencing a depressive episode that an increase in PTC after their first week on an antidepressant was associated a significantly increased treatment response rate at the end of the fourth week on the drug, while nonresponders failed to show such increase (J Psychiatr Res. 2017 Sep;92:64-73).

At ECNP 2020, Dr. Mikoteit presented preliminary results from an ongoing randomized, controlled trial including 37 patients hospitalized for major depressive disorder. All underwent baseline evaluation using the Hamilton Depression Rating Scale (HAMD) and were placed on the first-line antidepressant of their psychiatrist’s choice. After 1 week of therapy, participants underwent polysomnography with PTC measurement during tonic REM sleep.

Twenty-two patients were randomized to the intervention arm, in which investigators informed treating psychiatrists of the PTC results. The clinicians were instructed to change to another antidepressant if the biomarker predicted nonresponse or stay the course if the PTC results were favorable. Polysomnography was repeated 1 week later in the intervention arm, and the second-line antidepressant was either continued or switched out depending on the PTC findings. In the control arm, psychiatrists weren’t informed of the PTC results and patients continued on their initial antidepressant. The intervention and control groups were comparable in terms of age, sex, and severity of depression, with an average baseline HAMD score of 22.

A treatment response was defined as at least a 50% reduction in HAMD score from baseline to week 5. About 86% of patients who switched antidepressants based upon their 1-week quantitative EEG findings were categorized as treatment responders at week 5, compared with 20% of controls.

The overall 5-week response rate in the intervention group was 73%, compared with 60% in the control arm. This favorable trend didn’t achieve statistical significance, presumably because of the study’s sample size; however, the study is continuing to enroll participants in order to achieve a definitive result.

Dr. Mikoteit noted that the cost and inconvenience of spending a night in a sleep laboratory would be worthwhile if it resulted in the ability to give effective treatment much sooner. This would be particularly advantageous in patients at increased risk for suicide.

“If this is confirmed to be effective, it will save lives,” he said.
 

Study could have “enormous implications”

Of note, in the landmark National Institute of Mental Health–sponsored Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, slightly less than half of patients with major depressive disorder achieved a treatment response to their first-line antidepressant, and it took an average of 6 weeks of therapy to do. About one in four nonresponders who chose to switch to a different antidepressant got better.

“The STAR*D trial is still the gold standard for understanding antidepressant response, and so being able to see if an antidepressant works within 1 week would be a real breakthrough,” Catherine Harmer, DPhil, said in an interview.

“Most of the time, patients need to wait for around 4 weeks before they can tell if they are responding to a particular antidepressant or not. This is a hugely disabling and lengthy process, and often a different treatment then needs to be started,” added Dr. Harmer, professor of cognitive neuroscience and director of the Psychopharmacology and Emotional Research Lab at the University of Oxford (England).

“If the study results presented by Dr. Mikoteit are replicated in a larger blinded study, then it would have enormous implications for the future treatment of individuals with depression,” according to Dr. Harmer, who was not involved in the study and has no conflicts of interest related to it.

Dr. Mikoteit reported having no financial conflicts regarding the study, funded by the Psychiatric University Hospital of Basel.

[email protected]

SOURCE: Mikoteit T et al. ECNP 2020, Abstract P.733.

Patients with obesity-associated sleep hypoventilation had a heightened risk of postoperative morbidities after bariatric surgery, according to a retrospective study.

Reena Mehra, MD, director of sleep disorders research for the Sleep Disorders Center at the Cleveland Clinic, led the team and the findings were presented at the virtual annual meeting of the Associated Professional Sleep Societies. Her research team examined the outcomes of 1,665 patients who underwent polysomnography prior to bariatric surgery performed at the Cleveland Clinic from 2011 to 2018.

More than two-thirds – 68.5% – had obesity-associated sleep hypoventilation as defined by body mass index (BMI) of ≥30 kg/m² and either polysomnography-based end-tidal CO₂ ≥45 mm Hg or serum bicarbonate ≥27 mEq/L.

These patients represent “a subset, if you will, of obesity hypoventilation syndrome – a subset that we were able to capture from our sleep studies … [because] we do CO₂ monitoring during sleep studies uniformly,” Dr. Mehra said in an interview after the meeting.

Pornprapa Chindamporn, MD, a former fellow at the center and first author on the abstract, presented the findings. Patients in the study had a mean age of 45.2 ± 12.0 years and a BMI of 48.7 ± 9.0. Approximately 20% were male and 63.6% were White.

Those with obesity-associated sleep hypoventilation were more likely to be male and have a higher BMI and higher hemoglobin A_1c than those without the condition. They also had a significantly higher apnea-hypopnea index (17.0 vs. 13.8) in those without the condition, she reported.

A number of outcomes (ICU stay, intubation, tracheostomy, discharge disposition, and 30-day readmission) were compared individually and as a composite outcome between those with and without obesity-associated sleep hypoventilation. While some of these postoperative morbidities were more common in patients with the condition, the differences between those with and without OHS were not statistically significant for intubation (1.5% vs. 1.3%, P = .81) and 30-day readmission (13.8% vs. 11.3%, P = .16). However, the composite outcome was significantly higher: 18.9% vs. 14.3% (P = .021), including in multivariable analysis that considered age, gender, BMI, Apnea Hypopnea Index, and diabetes.

All-cause mortality was not significantly different between the groups, likely because of its low overall rate (hazard ratio, 1.39; 95% confidence interval, 0.56-3.42).

“In this largest sample to date of systematically phenotyped obesity-associated sleep hypoventilation in patients undergoing bariatric surgery, we identified increased postoperative morbidity,” said Dr. Chindamporn, now a pulmonologist and sleep specialist practicing in Bangkok.

Dr. Mehra said in the interview that patients considering bariatric surgery are typically assessed for obstructive sleep apnea, but “not so much obesity hypoventilation syndrome or obesity-associated sleep-related hypoventilation syndrome.” The findings, “support the notion that we should be closely examining sleep-related hypoventilation in these patients.”

At the Cleveland Clinic, “clinically, we make sure we’re identifying these individuals and communicating the findings to bariatric surgery colleagues and to anesthesia,” said Dr. Mehra, also professor of medicine at Case Western Reserve University, Cleveland.

OHS is defined, according to the 2019 American Thoracic Society clinical practice guideline on evaluation and management of OHS, by the combination of obesity, sleep-disordered breathing, and awake daytime hypercapnia, after excluding other causes for hypoventilation (Am J Respir Crit Care Med. 2019;200[3]:e6-24).

A European Respiratory Society task force has proposed severity grading for OHS, with early stages defined by sleep-related hypoventilation and the highest grade of severity defined by morbidity-associated daytime hypercapnia (Eur Respir Rev. 2019;28:180097). However, Dr. Mehra said she is “not sure that we know enough [from long-term studies of OHS] to say definitively that there’s such an evolution.”

Certainly, she said, future research on OHS should consider its heterogeneity. It is possible that a subset of patients with OHS, “maybe these individuals with sleep-related hypoventilation,” are most likely to have adverse postsurgical outcomes.

Atul Malhotra, MD, professor of medicine at the University of California, San Diego, who was asked to comment on the study, said that OHS is understudied in general and particularly in the perioperative setting. “With the obesity pandemic, issues around OHS are likely to be [increasingly] important. And with increasing [use of] bariatric surgery, strategies to minimize risks are clearly needed,” he said, adding that the potential risks of nonbariatric surgery in patients with OHS require further study.

He noted that mortality rates in good hospitals “have become quite low for many elective surgeries, making it hard to show mortality benefit to most interventions.”

The ATS guideline on OHS states that it is the most severe form of obesity-induced respiratory compromise and leads to serious sequelae, including increased rates of mortality, chronic heart failure, pulmonary hypertension, and hospitalization caused by acute-on-chronic hypercapnic respiratory failure.

Dr. Chindamporn said in her presentation that she had no disclosures. Dr. Mehra’s research program is funded by the National Institute of Health, but she has also procured funding from the American College of Chest Physicians, American Heart Association, Clinical Translational Science Collaborative, and Central Society of Clinical Research. Dr. Malhotra disclosed that he is funded by the NIH and has received income from Merck and LIvanova related to medical education.

CORRECTION 9/15/2020: The original story misstated the presenter of the study. Dr. Chindamporn presented the findings.

Patients with obesity-associated sleep hypoventilation had a heightened risk of postoperative morbidities after bariatric surgery, according to a retrospective study.

Reena Mehra, MD, director of sleep disorders research for the Sleep Disorders Center at the Cleveland Clinic, led the team and the findings were presented at the virtual annual meeting of the Associated Professional Sleep Societies. Her research team examined the outcomes of 1,665 patients who underwent polysomnography prior to bariatric surgery performed at the Cleveland Clinic from 2011 to 2018.

More than two-thirds – 68.5% – had obesity-associated sleep hypoventilation as defined by body mass index (BMI) of ≥30 kg/m² and either polysomnography-based end-tidal CO₂ ≥45 mm Hg or serum bicarbonate ≥27 mEq/L.

These patients represent “a subset, if you will, of obesity hypoventilation syndrome – a subset that we were able to capture from our sleep studies … [because] we do CO₂ monitoring during sleep studies uniformly,” Dr. Mehra said in an interview after the meeting.

Pornprapa Chindamporn, MD, a former fellow at the center and first author on the abstract, presented the findings. Patients in the study had a mean age of 45.2 ± 12.0 years and a BMI of 48.7 ± 9.0. Approximately 20% were male and 63.6% were White.

Those with obesity-associated sleep hypoventilation were more likely to be male and have a higher BMI and higher hemoglobin A_1c than those without the condition. They also had a significantly higher apnea-hypopnea index (17.0 vs. 13.8) in those without the condition, she reported.

A number of outcomes (ICU stay, intubation, tracheostomy, discharge disposition, and 30-day readmission) were compared individually and as a composite outcome between those with and without obesity-associated sleep hypoventilation. While some of these postoperative morbidities were more common in patients with the condition, the differences between those with and without OHS were not statistically significant for intubation (1.5% vs. 1.3%, P = .81) and 30-day readmission (13.8% vs. 11.3%, P = .16). However, the composite outcome was significantly higher: 18.9% vs. 14.3% (P = .021), including in multivariable analysis that considered age, gender, BMI, Apnea Hypopnea Index, and diabetes.

All-cause mortality was not significantly different between the groups, likely because of its low overall rate (hazard ratio, 1.39; 95% confidence interval, 0.56-3.42).

“In this largest sample to date of systematically phenotyped obesity-associated sleep hypoventilation in patients undergoing bariatric surgery, we identified increased postoperative morbidity,” said Dr. Chindamporn, now a pulmonologist and sleep specialist practicing in Bangkok.

Dr. Mehra said in the interview that patients considering bariatric surgery are typically assessed for obstructive sleep apnea, but “not so much obesity hypoventilation syndrome or obesity-associated sleep-related hypoventilation syndrome.” The findings, “support the notion that we should be closely examining sleep-related hypoventilation in these patients.”

At the Cleveland Clinic, “clinically, we make sure we’re identifying these individuals and communicating the findings to bariatric surgery colleagues and to anesthesia,” said Dr. Mehra, also professor of medicine at Case Western Reserve University, Cleveland.

OHS is defined, according to the 2019 American Thoracic Society clinical practice guideline on evaluation and management of OHS, by the combination of obesity, sleep-disordered breathing, and awake daytime hypercapnia, after excluding other causes for hypoventilation (Am J Respir Crit Care Med. 2019;200[3]:e6-24).

A European Respiratory Society task force has proposed severity grading for OHS, with early stages defined by sleep-related hypoventilation and the highest grade of severity defined by morbidity-associated daytime hypercapnia (Eur Respir Rev. 2019;28:180097). However, Dr. Mehra said she is “not sure that we know enough [from long-term studies of OHS] to say definitively that there’s such an evolution.”

Certainly, she said, future research on OHS should consider its heterogeneity. It is possible that a subset of patients with OHS, “maybe these individuals with sleep-related hypoventilation,” are most likely to have adverse postsurgical outcomes.

Atul Malhotra, MD, professor of medicine at the University of California, San Diego, who was asked to comment on the study, said that OHS is understudied in general and particularly in the perioperative setting. “With the obesity pandemic, issues around OHS are likely to be [increasingly] important. And with increasing [use of] bariatric surgery, strategies to minimize risks are clearly needed,” he said, adding that the potential risks of nonbariatric surgery in patients with OHS require further study.

He noted that mortality rates in good hospitals “have become quite low for many elective surgeries, making it hard to show mortality benefit to most interventions.”

The ATS guideline on OHS states that it is the most severe form of obesity-induced respiratory compromise and leads to serious sequelae, including increased rates of mortality, chronic heart failure, pulmonary hypertension, and hospitalization caused by acute-on-chronic hypercapnic respiratory failure.

Dr. Chindamporn said in her presentation that she had no disclosures. Dr. Mehra’s research program is funded by the National Institute of Health, but she has also procured funding from the American College of Chest Physicians, American Heart Association, Clinical Translational Science Collaborative, and Central Society of Clinical Research. Dr. Malhotra disclosed that he is funded by the NIH and has received income from Merck and LIvanova related to medical education.

CORRECTION 9/15/2020: The original story misstated the presenter of the study. Dr. Chindamporn presented the findings.

Patients with obesity-associated sleep hypoventilation had a heightened risk of postoperative morbidities after bariatric surgery, according to a retrospective study.

Reena Mehra, MD, director of sleep disorders research for the Sleep Disorders Center at the Cleveland Clinic, led the team and the findings were presented at the virtual annual meeting of the Associated Professional Sleep Societies. Her research team examined the outcomes of 1,665 patients who underwent polysomnography prior to bariatric surgery performed at the Cleveland Clinic from 2011 to 2018.

More than two-thirds – 68.5% – had obesity-associated sleep hypoventilation as defined by body mass index (BMI) of ≥30 kg/m² and either polysomnography-based end-tidal CO₂ ≥45 mm Hg or serum bicarbonate ≥27 mEq/L.

These patients represent “a subset, if you will, of obesity hypoventilation syndrome – a subset that we were able to capture from our sleep studies … [because] we do CO₂ monitoring during sleep studies uniformly,” Dr. Mehra said in an interview after the meeting.

Pornprapa Chindamporn, MD, a former fellow at the center and first author on the abstract, presented the findings. Patients in the study had a mean age of 45.2 ± 12.0 years and a BMI of 48.7 ± 9.0. Approximately 20% were male and 63.6% were White.

Those with obesity-associated sleep hypoventilation were more likely to be male and have a higher BMI and higher hemoglobin A_1c than those without the condition. They also had a significantly higher apnea-hypopnea index (17.0 vs. 13.8) in those without the condition, she reported.

A number of outcomes (ICU stay, intubation, tracheostomy, discharge disposition, and 30-day readmission) were compared individually and as a composite outcome between those with and without obesity-associated sleep hypoventilation. While some of these postoperative morbidities were more common in patients with the condition, the differences between those with and without OHS were not statistically significant for intubation (1.5% vs. 1.3%, P = .81) and 30-day readmission (13.8% vs. 11.3%, P = .16). However, the composite outcome was significantly higher: 18.9% vs. 14.3% (P = .021), including in multivariable analysis that considered age, gender, BMI, Apnea Hypopnea Index, and diabetes.

All-cause mortality was not significantly different between the groups, likely because of its low overall rate (hazard ratio, 1.39; 95% confidence interval, 0.56-3.42).

“In this largest sample to date of systematically phenotyped obesity-associated sleep hypoventilation in patients undergoing bariatric surgery, we identified increased postoperative morbidity,” said Dr. Chindamporn, now a pulmonologist and sleep specialist practicing in Bangkok.

Dr. Mehra said in the interview that patients considering bariatric surgery are typically assessed for obstructive sleep apnea, but “not so much obesity hypoventilation syndrome or obesity-associated sleep-related hypoventilation syndrome.” The findings, “support the notion that we should be closely examining sleep-related hypoventilation in these patients.”

At the Cleveland Clinic, “clinically, we make sure we’re identifying these individuals and communicating the findings to bariatric surgery colleagues and to anesthesia,” said Dr. Mehra, also professor of medicine at Case Western Reserve University, Cleveland.

OHS is defined, according to the 2019 American Thoracic Society clinical practice guideline on evaluation and management of OHS, by the combination of obesity, sleep-disordered breathing, and awake daytime hypercapnia, after excluding other causes for hypoventilation (Am J Respir Crit Care Med. 2019;200[3]:e6-24).

A European Respiratory Society task force has proposed severity grading for OHS, with early stages defined by sleep-related hypoventilation and the highest grade of severity defined by morbidity-associated daytime hypercapnia (Eur Respir Rev. 2019;28:180097). However, Dr. Mehra said she is “not sure that we know enough [from long-term studies of OHS] to say definitively that there’s such an evolution.”

Certainly, she said, future research on OHS should consider its heterogeneity. It is possible that a subset of patients with OHS, “maybe these individuals with sleep-related hypoventilation,” are most likely to have adverse postsurgical outcomes.

Atul Malhotra, MD, professor of medicine at the University of California, San Diego, who was asked to comment on the study, said that OHS is understudied in general and particularly in the perioperative setting. “With the obesity pandemic, issues around OHS are likely to be [increasingly] important. And with increasing [use of] bariatric surgery, strategies to minimize risks are clearly needed,” he said, adding that the potential risks of nonbariatric surgery in patients with OHS require further study.

He noted that mortality rates in good hospitals “have become quite low for many elective surgeries, making it hard to show mortality benefit to most interventions.”

The ATS guideline on OHS states that it is the most severe form of obesity-induced respiratory compromise and leads to serious sequelae, including increased rates of mortality, chronic heart failure, pulmonary hypertension, and hospitalization caused by acute-on-chronic hypercapnic respiratory failure.

Dr. Chindamporn said in her presentation that she had no disclosures. Dr. Mehra’s research program is funded by the National Institute of Health, but she has also procured funding from the American College of Chest Physicians, American Heart Association, Clinical Translational Science Collaborative, and Central Society of Clinical Research. Dr. Malhotra disclosed that he is funded by the NIH and has received income from Merck and LIvanova related to medical education.

CORRECTION 9/15/2020: The original story misstated the presenter of the study. Dr. Chindamporn presented the findings.

Insomnia is “highly prevalent” in veterans with chronic pulmonary obstructive disease and is significantly associated with greater COPD-related health care utilization, according to an analysis of national Veterans Health Administration data.

“The study highlights the importance of exploring potential sleep disturbances and disorders in this population and suggests that a targeted treatment for insomnia may help to improve COPD outcomes in veterans with COPD and insomnia,” said Faith Luyster, PhD, assistant professor at the University of Pittsburgh, in an interview after the virtual annual meeting of the Associated Professional Sleep Societies, where she presented the findings.

Dr. Luyster and coinvestigators used an administrative database from the Veterans Affairs Corporate Data Warehouse to identify more than 1.5 million patients with COPD who used VHA services over a 6-year period (fiscal years 2011-2017). Insomnia was defined by ICD-9/10 diagnostic codes and/or a sedative-hypnotic prescription for at least 30 doses during any of these years.

Insomnia with COPD was prevalent in this sample of veterans at 37.3%. Compared with veterans without comorbid insomnia, those who had both COPD and insomnia (575,539 of the total 1,542,642) were older (69 vs. 64 years), more likely to be female (6.3% vs. 3.7%), more likely to be Black (14% vs. 11%) and more likely to be a current smoker (46.1% vs. 35.5%).

Those with both COPD and insomnia were also more likely to have a service-connected disability rating of 50% of greater; use supplemental oxygen; be divorced, widowed, or separated; have a higher body mass index; or have other medical or psychiatric conditions – in particular obstructive sleep apnea (39% vs. 7%), depression (21% vs. 5%), and PTSD (33% vs. 3%).

P values were < .001 for all of these demographic and clinical variables, Dr. Luyster reported at the meeting.

Comorbid insomnia clearly impacted health care utilization, she said. Veterans with insomnia in addition to COPD had more outpatient and ED visits (10.5 vs 6.9, and 1.6 vs. 1.4, respectively) and more hospitalizations (2.2 vs. 1.8) with a primary diagnostic code for COPD or COPD exacerbation (P < .001).

A negative binomial regression analysis (P < .001) showed that “even after controlling for demographic and other medical conditions, COPD patients with insomnia had greater rates of health care utilization relative to COPD patients without insomnia,” Dr. Luyster said in the interview.

Prior studies have suggested that disturbed sleep is a predictor of poorer longitudinal outcomes in COPD, even after controlling for COPD severity, but have not looked specifically at insomnia, she said.

Commenting on the study Octavian C. Ioachimescu, MD, PhD, of Emory University, Atlanta, and the Atlanta VA Medical Center in Decatur, said the criteria used to define insomnia – unadjudicated ICD diagnoses as well as sedative-hypnotic prescriptions – may explain part of the reported prevalence of insomnia. Even so, the findings add to existing literature demonstrating that COPD and insomnia are both common disorders among VHA patients, and that their frequent coexistence “could have adverse consequences on the overall health, functional status, long-term outcomes, and quality of life of these patients.”

Questions of causation are yet to be answered, he said. “Is it that uncontrolled or severe airflow obstruction causing frequent nocturnal arousals, dyspnea, orthopnea, overuse of inhaled sympathomimetics and heightened anxiety leads to insomnia? Or is it that insomnia – possibly in a cluster with other affective disorders such as depression, anxiety disorders, or PTSD – elicits more frequent or more severe symptoms of shortness of breath in those with smoking-induced airway and parenchymal lung disease, making the latter diagnosis more overt than in others?

“My bet is on a bidirectional causal relationship,” said Dr. Ioachimescu, an editorial board advisor of CHEST Physician.

“Regardless of the etiology [of insomnia in veterans with COPD],” Dr. Luyster said, “it’s important that [insomnia] be addressed and treated appropriately, whether that be through pharmacological treatment, or probably more ideally through [cognitive behavioral therapy] for insomnia.”

The study did not control for COPD severity, she said, because of the difficulty of extracting this data from the VA Corporate Data Warehouse. The study was funded by the VA Competitive Career Development Fund.Dr. Luyster reported that she had no disclosures. Dr. Ioachimescu also said he had no relevant disclosures.
 

Insomnia is “highly prevalent” in veterans with chronic pulmonary obstructive disease and is significantly associated with greater COPD-related health care utilization, according to an analysis of national Veterans Health Administration data.

“The study highlights the importance of exploring potential sleep disturbances and disorders in this population and suggests that a targeted treatment for insomnia may help to improve COPD outcomes in veterans with COPD and insomnia,” said Faith Luyster, PhD, assistant professor at the University of Pittsburgh, in an interview after the virtual annual meeting of the Associated Professional Sleep Societies, where she presented the findings.

Dr. Luyster and coinvestigators used an administrative database from the Veterans Affairs Corporate Data Warehouse to identify more than 1.5 million patients with COPD who used VHA services over a 6-year period (fiscal years 2011-2017). Insomnia was defined by ICD-9/10 diagnostic codes and/or a sedative-hypnotic prescription for at least 30 doses during any of these years.

Insomnia with COPD was prevalent in this sample of veterans at 37.3%. Compared with veterans without comorbid insomnia, those who had both COPD and insomnia (575,539 of the total 1,542,642) were older (69 vs. 64 years), more likely to be female (6.3% vs. 3.7%), more likely to be Black (14% vs. 11%) and more likely to be a current smoker (46.1% vs. 35.5%).

Those with both COPD and insomnia were also more likely to have a service-connected disability rating of 50% of greater; use supplemental oxygen; be divorced, widowed, or separated; have a higher body mass index; or have other medical or psychiatric conditions – in particular obstructive sleep apnea (39% vs. 7%), depression (21% vs. 5%), and PTSD (33% vs. 3%).

P values were < .001 for all of these demographic and clinical variables, Dr. Luyster reported at the meeting.

Comorbid insomnia clearly impacted health care utilization, she said. Veterans with insomnia in addition to COPD had more outpatient and ED visits (10.5 vs 6.9, and 1.6 vs. 1.4, respectively) and more hospitalizations (2.2 vs. 1.8) with a primary diagnostic code for COPD or COPD exacerbation (P < .001).

A negative binomial regression analysis (P < .001) showed that “even after controlling for demographic and other medical conditions, COPD patients with insomnia had greater rates of health care utilization relative to COPD patients without insomnia,” Dr. Luyster said in the interview.

Prior studies have suggested that disturbed sleep is a predictor of poorer longitudinal outcomes in COPD, even after controlling for COPD severity, but have not looked specifically at insomnia, she said.

Commenting on the study Octavian C. Ioachimescu, MD, PhD, of Emory University, Atlanta, and the Atlanta VA Medical Center in Decatur, said the criteria used to define insomnia – unadjudicated ICD diagnoses as well as sedative-hypnotic prescriptions – may explain part of the reported prevalence of insomnia. Even so, the findings add to existing literature demonstrating that COPD and insomnia are both common disorders among VHA patients, and that their frequent coexistence “could have adverse consequences on the overall health, functional status, long-term outcomes, and quality of life of these patients.”

Questions of causation are yet to be answered, he said. “Is it that uncontrolled or severe airflow obstruction causing frequent nocturnal arousals, dyspnea, orthopnea, overuse of inhaled sympathomimetics and heightened anxiety leads to insomnia? Or is it that insomnia – possibly in a cluster with other affective disorders such as depression, anxiety disorders, or PTSD – elicits more frequent or more severe symptoms of shortness of breath in those with smoking-induced airway and parenchymal lung disease, making the latter diagnosis more overt than in others?

“My bet is on a bidirectional causal relationship,” said Dr. Ioachimescu, an editorial board advisor of CHEST Physician.

“Regardless of the etiology [of insomnia in veterans with COPD],” Dr. Luyster said, “it’s important that [insomnia] be addressed and treated appropriately, whether that be through pharmacological treatment, or probably more ideally through [cognitive behavioral therapy] for insomnia.”

The study did not control for COPD severity, she said, because of the difficulty of extracting this data from the VA Corporate Data Warehouse. The study was funded by the VA Competitive Career Development Fund.Dr. Luyster reported that she had no disclosures. Dr. Ioachimescu also said he had no relevant disclosures.
 

Insomnia is “highly prevalent” in veterans with chronic pulmonary obstructive disease and is significantly associated with greater COPD-related health care utilization, according to an analysis of national Veterans Health Administration data.

“The study highlights the importance of exploring potential sleep disturbances and disorders in this population and suggests that a targeted treatment for insomnia may help to improve COPD outcomes in veterans with COPD and insomnia,” said Faith Luyster, PhD, assistant professor at the University of Pittsburgh, in an interview after the virtual annual meeting of the Associated Professional Sleep Societies, where she presented the findings.

Dr. Luyster and coinvestigators used an administrative database from the Veterans Affairs Corporate Data Warehouse to identify more than 1.5 million patients with COPD who used VHA services over a 6-year period (fiscal years 2011-2017). Insomnia was defined by ICD-9/10 diagnostic codes and/or a sedative-hypnotic prescription for at least 30 doses during any of these years.

Insomnia with COPD was prevalent in this sample of veterans at 37.3%. Compared with veterans without comorbid insomnia, those who had both COPD and insomnia (575,539 of the total 1,542,642) were older (69 vs. 64 years), more likely to be female (6.3% vs. 3.7%), more likely to be Black (14% vs. 11%) and more likely to be a current smoker (46.1% vs. 35.5%).

Those with both COPD and insomnia were also more likely to have a service-connected disability rating of 50% of greater; use supplemental oxygen; be divorced, widowed, or separated; have a higher body mass index; or have other medical or psychiatric conditions – in particular obstructive sleep apnea (39% vs. 7%), depression (21% vs. 5%), and PTSD (33% vs. 3%).

P values were < .001 for all of these demographic and clinical variables, Dr. Luyster reported at the meeting.

Comorbid insomnia clearly impacted health care utilization, she said. Veterans with insomnia in addition to COPD had more outpatient and ED visits (10.5 vs 6.9, and 1.6 vs. 1.4, respectively) and more hospitalizations (2.2 vs. 1.8) with a primary diagnostic code for COPD or COPD exacerbation (P < .001).

A negative binomial regression analysis (P < .001) showed that “even after controlling for demographic and other medical conditions, COPD patients with insomnia had greater rates of health care utilization relative to COPD patients without insomnia,” Dr. Luyster said in the interview.

Prior studies have suggested that disturbed sleep is a predictor of poorer longitudinal outcomes in COPD, even after controlling for COPD severity, but have not looked specifically at insomnia, she said.

Commenting on the study Octavian C. Ioachimescu, MD, PhD, of Emory University, Atlanta, and the Atlanta VA Medical Center in Decatur, said the criteria used to define insomnia – unadjudicated ICD diagnoses as well as sedative-hypnotic prescriptions – may explain part of the reported prevalence of insomnia. Even so, the findings add to existing literature demonstrating that COPD and insomnia are both common disorders among VHA patients, and that their frequent coexistence “could have adverse consequences on the overall health, functional status, long-term outcomes, and quality of life of these patients.”

Questions of causation are yet to be answered, he said. “Is it that uncontrolled or severe airflow obstruction causing frequent nocturnal arousals, dyspnea, orthopnea, overuse of inhaled sympathomimetics and heightened anxiety leads to insomnia? Or is it that insomnia – possibly in a cluster with other affective disorders such as depression, anxiety disorders, or PTSD – elicits more frequent or more severe symptoms of shortness of breath in those with smoking-induced airway and parenchymal lung disease, making the latter diagnosis more overt than in others?

“My bet is on a bidirectional causal relationship,” said Dr. Ioachimescu, an editorial board advisor of CHEST Physician.

“Regardless of the etiology [of insomnia in veterans with COPD],” Dr. Luyster said, “it’s important that [insomnia] be addressed and treated appropriately, whether that be through pharmacological treatment, or probably more ideally through [cognitive behavioral therapy] for insomnia.”

The study did not control for COPD severity, she said, because of the difficulty of extracting this data from the VA Corporate Data Warehouse. The study was funded by the VA Competitive Career Development Fund.Dr. Luyster reported that she had no disclosures. Dr. Ioachimescu also said he had no relevant disclosures.
 

“Nomophobia” – the fear of being without a mobile phone or out of mobile phone contact – is extremely prevalent among college students and is associated with poor sleep habits and fatigue. In a study of more than 300 college students, nearly 9 in 10 (89%) were classified as having moderate to severe nomophobia. Greater levels of nomophobia were significantly linked to daytime sleepiness and more behaviors associated with poor sleep hygiene.

“My undergraduate research team came up with the idea for this study,” said study investigator Jennifer Peszka, PhD, professor of psychology at Hendrix College, Conway, Ark. She explained that her students had been looking at the impact of technology use in the 2 hours before bed, and hypothesized that ‘cell phone addiction’ might play a role in sleep problems.

Incidentally, “that group of students were all pretty high on nomophobia themselves so they were really interested in the outcome,” Dr. Peszka said.

The study findings were presented at the virtual annual meeting of the Associated Professional Sleep Societies.
 

A likely suspect

The study involved 327 undergraduates (mean age, 19.7 years) recruited from introductory psychology courses and campus newsletters. They completed several questionnaires, including the Nomophobia Questionnaire, the Epworth Sleepiness Scale, and the Sleep Hygiene Index.

Nomophobia was prevalent, with mild, moderate, and severe nomophobia reported by 10%, 83%, and 7% of students, respectively. Only one student reported no nomophobia at all. Dr. Peszka said the fact that 89% of students had moderate or severe nomophobia is “concerning,” given a 2012 study suggesting that 77% of 18- to 24-year-olds had nomophobia. This phobia “very well may be on a rapid rise,” she lamented.

Greater severity of nomophobia was significantly correlated with greater sleepiness measured by both the Epworth Sleepiness Scale (P < .05) and the Associated Features of Poor Sleep Hygiene daytime sleepiness item (P < .05). More severe nomophobia was also related to decreased motivation (a commonly reported symptom of insufficient sleep) and with more maladaptive sleep hygiene behaviors (including using technology during sleep time, long daytime naps, inconsistent wake and bed times, using bed for nonsleep purposes, uncomfortable bed, and bedtime cognitive rumination).

Prior research has shown that smartphones may lead to compulsive “checking” habits, compulsive usage, increased distress, and potentially addictive behaviors. Active phone use at bedtime has also been implicated in disrupted sleep. Nomophobia is likely to be an important consideration when treating sleep disorders and/or making any sleep hygiene recommendations, Dr. Peszka said.
 

Proliferation of ‘night owls’

Reached for comment, Rajkumar (Raj) Dasgupta, MD, University of Southern California, Los Angeles, said this is a “very timely study with COVID-19. Right now, more than ever, technology is a double-edged sword. I’m a father of three kids and, for now, technology is the only way some kids are going to be socializing and learning.”

Yet a foundation of good sleep hygiene is keeping a nightly sleep routine, said Dr. Dasgupta, who was not involved in the study. “Right now, it seems like all my sleep patients are becoming night owls and sleep time is becoming more and more delayed because there is so much news to keep up with. Also, you may be stressed at night and you may not have the motivation to wake up early in the morning.”

He said it is important to counsel patients to “put technology away at night. That goes for kids and adults.”

Support for the study was provided by Hendrix College Charles Brewer Fund for Psychology. Dr. Peszka and Dr. Dasgupta disclosed no relevant financial relationships.

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

“Nomophobia” – the fear of being without a mobile phone or out of mobile phone contact – is extremely prevalent among college students and is associated with poor sleep habits and fatigue. In a study of more than 300 college students, nearly 9 in 10 (89%) were classified as having moderate to severe nomophobia. Greater levels of nomophobia were significantly linked to daytime sleepiness and more behaviors associated with poor sleep hygiene.

“My undergraduate research team came up with the idea for this study,” said study investigator Jennifer Peszka, PhD, professor of psychology at Hendrix College, Conway, Ark. She explained that her students had been looking at the impact of technology use in the 2 hours before bed, and hypothesized that ‘cell phone addiction’ might play a role in sleep problems.

Incidentally, “that group of students were all pretty high on nomophobia themselves so they were really interested in the outcome,” Dr. Peszka said.

The study findings were presented at the virtual annual meeting of the Associated Professional Sleep Societies.
 

A likely suspect

The study involved 327 undergraduates (mean age, 19.7 years) recruited from introductory psychology courses and campus newsletters. They completed several questionnaires, including the Nomophobia Questionnaire, the Epworth Sleepiness Scale, and the Sleep Hygiene Index.

Nomophobia was prevalent, with mild, moderate, and severe nomophobia reported by 10%, 83%, and 7% of students, respectively. Only one student reported no nomophobia at all. Dr. Peszka said the fact that 89% of students had moderate or severe nomophobia is “concerning,” given a 2012 study suggesting that 77% of 18- to 24-year-olds had nomophobia. This phobia “very well may be on a rapid rise,” she lamented.

Greater severity of nomophobia was significantly correlated with greater sleepiness measured by both the Epworth Sleepiness Scale (P < .05) and the Associated Features of Poor Sleep Hygiene daytime sleepiness item (P < .05). More severe nomophobia was also related to decreased motivation (a commonly reported symptom of insufficient sleep) and with more maladaptive sleep hygiene behaviors (including using technology during sleep time, long daytime naps, inconsistent wake and bed times, using bed for nonsleep purposes, uncomfortable bed, and bedtime cognitive rumination).

Prior research has shown that smartphones may lead to compulsive “checking” habits, compulsive usage, increased distress, and potentially addictive behaviors. Active phone use at bedtime has also been implicated in disrupted sleep. Nomophobia is likely to be an important consideration when treating sleep disorders and/or making any sleep hygiene recommendations, Dr. Peszka said.
 

Proliferation of ‘night owls’

Reached for comment, Rajkumar (Raj) Dasgupta, MD, University of Southern California, Los Angeles, said this is a “very timely study with COVID-19. Right now, more than ever, technology is a double-edged sword. I’m a father of three kids and, for now, technology is the only way some kids are going to be socializing and learning.”

Yet a foundation of good sleep hygiene is keeping a nightly sleep routine, said Dr. Dasgupta, who was not involved in the study. “Right now, it seems like all my sleep patients are becoming night owls and sleep time is becoming more and more delayed because there is so much news to keep up with. Also, you may be stressed at night and you may not have the motivation to wake up early in the morning.”

He said it is important to counsel patients to “put technology away at night. That goes for kids and adults.”

Support for the study was provided by Hendrix College Charles Brewer Fund for Psychology. Dr. Peszka and Dr. Dasgupta disclosed no relevant financial relationships.

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

“Nomophobia” – the fear of being without a mobile phone or out of mobile phone contact – is extremely prevalent among college students and is associated with poor sleep habits and fatigue. In a study of more than 300 college students, nearly 9 in 10 (89%) were classified as having moderate to severe nomophobia. Greater levels of nomophobia were significantly linked to daytime sleepiness and more behaviors associated with poor sleep hygiene.

“My undergraduate research team came up with the idea for this study,” said study investigator Jennifer Peszka, PhD, professor of psychology at Hendrix College, Conway, Ark. She explained that her students had been looking at the impact of technology use in the 2 hours before bed, and hypothesized that ‘cell phone addiction’ might play a role in sleep problems.

Incidentally, “that group of students were all pretty high on nomophobia themselves so they were really interested in the outcome,” Dr. Peszka said.

The study findings were presented at the virtual annual meeting of the Associated Professional Sleep Societies.
 

A likely suspect

The study involved 327 undergraduates (mean age, 19.7 years) recruited from introductory psychology courses and campus newsletters. They completed several questionnaires, including the Nomophobia Questionnaire, the Epworth Sleepiness Scale, and the Sleep Hygiene Index.

Nomophobia was prevalent, with mild, moderate, and severe nomophobia reported by 10%, 83%, and 7% of students, respectively. Only one student reported no nomophobia at all. Dr. Peszka said the fact that 89% of students had moderate or severe nomophobia is “concerning,” given a 2012 study suggesting that 77% of 18- to 24-year-olds had nomophobia. This phobia “very well may be on a rapid rise,” she lamented.

Greater severity of nomophobia was significantly correlated with greater sleepiness measured by both the Epworth Sleepiness Scale (P < .05) and the Associated Features of Poor Sleep Hygiene daytime sleepiness item (P < .05). More severe nomophobia was also related to decreased motivation (a commonly reported symptom of insufficient sleep) and with more maladaptive sleep hygiene behaviors (including using technology during sleep time, long daytime naps, inconsistent wake and bed times, using bed for nonsleep purposes, uncomfortable bed, and bedtime cognitive rumination).

Prior research has shown that smartphones may lead to compulsive “checking” habits, compulsive usage, increased distress, and potentially addictive behaviors. Active phone use at bedtime has also been implicated in disrupted sleep. Nomophobia is likely to be an important consideration when treating sleep disorders and/or making any sleep hygiene recommendations, Dr. Peszka said.
 

Proliferation of ‘night owls’

Reached for comment, Rajkumar (Raj) Dasgupta, MD, University of Southern California, Los Angeles, said this is a “very timely study with COVID-19. Right now, more than ever, technology is a double-edged sword. I’m a father of three kids and, for now, technology is the only way some kids are going to be socializing and learning.”

Yet a foundation of good sleep hygiene is keeping a nightly sleep routine, said Dr. Dasgupta, who was not involved in the study. “Right now, it seems like all my sleep patients are becoming night owls and sleep time is becoming more and more delayed because there is so much news to keep up with. Also, you may be stressed at night and you may not have the motivation to wake up early in the morning.”

He said it is important to counsel patients to “put technology away at night. That goes for kids and adults.”

Support for the study was provided by Hendrix College Charles Brewer Fund for Psychology. Dr. Peszka and Dr. Dasgupta disclosed no relevant financial relationships.

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

In the interest of public health and safety, the American Academy of Sleep Medicine (AASM) is calling for the elimination of daylight saving time in favor of permanent year-round standard time – a recommendation that has garnered strong support from multiple medical and other high-profile organizations.

“Permanent, year-round standard time is the best choice to most closely match our circadian sleep-wake cycle,” M. Adeel Rishi, MD, lead author of the AASM position statement, said in a news release. “Daylight saving time results in more darkness in the morning and more light in the evening, disrupting the body’s natural rhythm,” said Dr. Rishi, of the department of pulmonology, critical care, and sleep medicine, Mayo Clinic, Eau Claire, Wis., and vice chair of the AASM Public Safety Committee.

The position statement was published Aug. 26 in the Journal of Clinical Sleep Medicine to coincide with the virtual annual meeting of the Associated Professional Sleep Societies .
 

Significant health risks

In the United States, the annual “spring forward” to daylight saving time and “fall back” to standard time is required by law, although under the statute some exceptions are permitted.

There has been intense debate over the last several years about transitioning between standard and daylight saving time. The AASM says there is “an abundance of evidence” to indicate that quick transition from standard time to daylight saving time incurs significant public health and safety risks, including increased risk of heart attack, stroke, mood disorders, and car crashes.

“Although chronic effects of remaining in daylight saving time year-round have not been well-studied, daylight saving time is less aligned with human circadian biology – which, because of the impacts of the delayed natural light/dark cycle on human activity, could result in circadian misalignment, which has been associated in some studies with increased cardiovascular disease risk, metabolic syndrome and other health risks,” the authors wrote.

A recent study also showed an increase in medical errors in the week after switching to daylight saving time.

“Because the adoption of permanent standard time would be beneficial for public health and safety, the AASM will be advocating at the federal level for this legislative change,” said AASM President Kannan Ramar, MBBS, MD, with the Mayo Clinic in Rochester, Minn.

It seems that many Americans are in favor of the change. In July, an AASM survey of roughly 2,000 U.S. adults showed that two-thirds support doing away with the seasonal time change. Only 11% opposed it. In addition, the academy’s 2019 survey showed more than half of adults feel extremely, or somewhat, tired after the springing ahead to daylight saving time.

Strong support

The position statement has been endorsed by 19 organizations, including the American Academy of Cardiovascular Sleep Medicine, American College of Chest Physicians (CHEST), American College of Occupational and Environmental Medicine, National PTA, National Safety Council, Society of Anesthesia and Sleep Medicine, and the Society of Behavioral Sleep Medicine.

Weighing in on the issue, Saul Rothenberg, PhD, from the Sleep Center at Greenwich Hospital, Conn., said the literature on daylight saving time has grown over the past 20 years. He said he was ”humbled” by the research that shows that a “relatively small” misalignment of biological and social clocks has a measurable impact on human health and behavior.

“Because misalignment is associated with negative health and performance outcomes, keeping one set of hours year-round is promoted to minimize misalignment and associated consequences,” he added.

In light of this research, the recommendation to dispense with daylight saving time seems “quite reasonable” from a public health perspective. “I am left with a strengthened view on the importance of regular adequate sleep as a way to enhance health, performance, and quality of life,” he added.

This research had no commercial funding. Dr. Rishi and Dr. Rothenberg have disclosed no relevant financial relationships.

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

In the interest of public health and safety, the American Academy of Sleep Medicine (AASM) is calling for the elimination of daylight saving time in favor of permanent year-round standard time – a recommendation that has garnered strong support from multiple medical and other high-profile organizations.

“Permanent, year-round standard time is the best choice to most closely match our circadian sleep-wake cycle,” M. Adeel Rishi, MD, lead author of the AASM position statement, said in a news release. “Daylight saving time results in more darkness in the morning and more light in the evening, disrupting the body’s natural rhythm,” said Dr. Rishi, of the department of pulmonology, critical care, and sleep medicine, Mayo Clinic, Eau Claire, Wis., and vice chair of the AASM Public Safety Committee.

The position statement was published Aug. 26 in the Journal of Clinical Sleep Medicine to coincide with the virtual annual meeting of the Associated Professional Sleep Societies .
 

Significant health risks

In the United States, the annual “spring forward” to daylight saving time and “fall back” to standard time is required by law, although under the statute some exceptions are permitted.

There has been intense debate over the last several years about transitioning between standard and daylight saving time. The AASM says there is “an abundance of evidence” to indicate that quick transition from standard time to daylight saving time incurs significant public health and safety risks, including increased risk of heart attack, stroke, mood disorders, and car crashes.

“Although chronic effects of remaining in daylight saving time year-round have not been well-studied, daylight saving time is less aligned with human circadian biology – which, because of the impacts of the delayed natural light/dark cycle on human activity, could result in circadian misalignment, which has been associated in some studies with increased cardiovascular disease risk, metabolic syndrome and other health risks,” the authors wrote.

A recent study also showed an increase in medical errors in the week after switching to daylight saving time.

“Because the adoption of permanent standard time would be beneficial for public health and safety, the AASM will be advocating at the federal level for this legislative change,” said AASM President Kannan Ramar, MBBS, MD, with the Mayo Clinic in Rochester, Minn.

It seems that many Americans are in favor of the change. In July, an AASM survey of roughly 2,000 U.S. adults showed that two-thirds support doing away with the seasonal time change. Only 11% opposed it. In addition, the academy’s 2019 survey showed more than half of adults feel extremely, or somewhat, tired after the springing ahead to daylight saving time.

Strong support

The position statement has been endorsed by 19 organizations, including the American Academy of Cardiovascular Sleep Medicine, American College of Chest Physicians (CHEST), American College of Occupational and Environmental Medicine, National PTA, National Safety Council, Society of Anesthesia and Sleep Medicine, and the Society of Behavioral Sleep Medicine.

Weighing in on the issue, Saul Rothenberg, PhD, from the Sleep Center at Greenwich Hospital, Conn., said the literature on daylight saving time has grown over the past 20 years. He said he was ”humbled” by the research that shows that a “relatively small” misalignment of biological and social clocks has a measurable impact on human health and behavior.

“Because misalignment is associated with negative health and performance outcomes, keeping one set of hours year-round is promoted to minimize misalignment and associated consequences,” he added.

In light of this research, the recommendation to dispense with daylight saving time seems “quite reasonable” from a public health perspective. “I am left with a strengthened view on the importance of regular adequate sleep as a way to enhance health, performance, and quality of life,” he added.

This research had no commercial funding. Dr. Rishi and Dr. Rothenberg have disclosed no relevant financial relationships.

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

In the interest of public health and safety, the American Academy of Sleep Medicine (AASM) is calling for the elimination of daylight saving time in favor of permanent year-round standard time – a recommendation that has garnered strong support from multiple medical and other high-profile organizations.

“Permanent, year-round standard time is the best choice to most closely match our circadian sleep-wake cycle,” M. Adeel Rishi, MD, lead author of the AASM position statement, said in a news release. “Daylight saving time results in more darkness in the morning and more light in the evening, disrupting the body’s natural rhythm,” said Dr. Rishi, of the department of pulmonology, critical care, and sleep medicine, Mayo Clinic, Eau Claire, Wis., and vice chair of the AASM Public Safety Committee.

The position statement was published Aug. 26 in the Journal of Clinical Sleep Medicine to coincide with the virtual annual meeting of the Associated Professional Sleep Societies .
 

Significant health risks

In the United States, the annual “spring forward” to daylight saving time and “fall back” to standard time is required by law, although under the statute some exceptions are permitted.

There has been intense debate over the last several years about transitioning between standard and daylight saving time. The AASM says there is “an abundance of evidence” to indicate that quick transition from standard time to daylight saving time incurs significant public health and safety risks, including increased risk of heart attack, stroke, mood disorders, and car crashes.

“Although chronic effects of remaining in daylight saving time year-round have not been well-studied, daylight saving time is less aligned with human circadian biology – which, because of the impacts of the delayed natural light/dark cycle on human activity, could result in circadian misalignment, which has been associated in some studies with increased cardiovascular disease risk, metabolic syndrome and other health risks,” the authors wrote.

A recent study also showed an increase in medical errors in the week after switching to daylight saving time.

“Because the adoption of permanent standard time would be beneficial for public health and safety, the AASM will be advocating at the federal level for this legislative change,” said AASM President Kannan Ramar, MBBS, MD, with the Mayo Clinic in Rochester, Minn.

It seems that many Americans are in favor of the change. In July, an AASM survey of roughly 2,000 U.S. adults showed that two-thirds support doing away with the seasonal time change. Only 11% opposed it. In addition, the academy’s 2019 survey showed more than half of adults feel extremely, or somewhat, tired after the springing ahead to daylight saving time.

Strong support

The position statement has been endorsed by 19 organizations, including the American Academy of Cardiovascular Sleep Medicine, American College of Chest Physicians (CHEST), American College of Occupational and Environmental Medicine, National PTA, National Safety Council, Society of Anesthesia and Sleep Medicine, and the Society of Behavioral Sleep Medicine.

Weighing in on the issue, Saul Rothenberg, PhD, from the Sleep Center at Greenwich Hospital, Conn., said the literature on daylight saving time has grown over the past 20 years. He said he was ”humbled” by the research that shows that a “relatively small” misalignment of biological and social clocks has a measurable impact on human health and behavior.

“Because misalignment is associated with negative health and performance outcomes, keeping one set of hours year-round is promoted to minimize misalignment and associated consequences,” he added.

In light of this research, the recommendation to dispense with daylight saving time seems “quite reasonable” from a public health perspective. “I am left with a strengthened view on the importance of regular adequate sleep as a way to enhance health, performance, and quality of life,” he added.

This research had no commercial funding. Dr. Rishi and Dr. Rothenberg have disclosed no relevant financial relationships.

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

Sleep disorders may be silent precursors of cardiometabolic disease among U.S. Latinos, said authors of a newly published study.

Xiaoyu Li, ScD, and Susan Redline, MD, MPH, of Harvard Medical School and Brigham and Women’s Hospital, Boston, and coauthors conducted a study of people who self-identified as Latino, who had baseline sleeping disorders, and who developed hypertension and diabetes over time. The study was published in the American Journal of Respiratory and Critical Care Medicine.

The findings suggested that sleep disorders preceded the development of hypertension and diabetes. Examining records from a major multiyear federal project, the Hispanic Community Health Study/Study of Latinos, Dr. Li, Dr. Redline, and coauthors found sleep-disordered breathing (SDB) was associated with a 1.54 higher adjusted odds of incident hypertension (95% confidence interval [CI], 1.18-2.00) and 1.33 higher odds of incident diabetes (95% CI, 1.05-1.67), compared with no SDB. Insomnia was associated with incident hypertension (odds ratio, 1.37; 95% CI, 1.11-1.69), but not diabetes. The association between insomnia and incident hypertension was stronger among men than women, they reported.

“We now need large-scale rigorous trials to evaluate the impact of early treatment of sleep disordered breathing and insomnia on preventing the development of hypertension and diabetes,” Dr. Redline said in an interview. “Clinicians should consider screening their patients at risk for hypertension and diabetes for both sleep-disordered breathing and insomnia.”
 

Implications for public health strategies

The study results may have implications for health strategies and policies aimed at addressing health differentials among ethnic and economic groups in the United States.

Suboptimal sleep health may be an important fundamental but understudied contributor to health disparities, Chandra L. Jackson, PhD, MS, of the National Institute of Environmental Health Sciences, Research Triangle, N.C., said in an interview. Dr. Jackson is the lead author for a report published in August on a 2018 National Institutes of Health workshop regarding the importance of studying sleep health disparities (Sleep 2020 Mar 10. doi: 10.1093/sleep/zsaa037). The NIH workshop emphasized how little research has been done on the prevalence, incidence, morbidity, or mortality of sleep deficiencies of racial and ethnic minority populations, even though members of these groups are generally more likely to experience sleep disorders. The report urged “a nuanced integration between health disparity causal pathways and sleep and circadian-related mechanisms” tailored for these groups, with attention paid to sociocultural context.

Dr. Jackson said the study by Dr. Li and colleagues fits nicely with the strategies recommended in this report. She added: “Prospective design is particularly important for establishing temporality or that the SDB and insomnia symptoms occurred before the outcomes of hypertension and diabetes.”

In commenting on the Xi/Redline paper, Krishna M. Sundar, MD, FCCP, medical director of the Sleep-Wake Center at the University of Utah, Salt Lake City, commended the study and noted that one of the challenges in sleep research is the long time period over which the effects of disordered breathing become clear, he said.

“Things don’t happen immediately. It takes months, years for the effects to develop,” Dr. Sundar said. “To try to piece together the relationships, you need very well planned studies.”
 

Study design: Participants and exclusions

Latinos currently make up 17.8%, or 57.5 million, of the U.S. population, and this group is expected to double within the next 4 decades, the investigators wrote. A few prior studies on the roles of sleep disorders in the cardiometabolic health of Latinos, though suggestive, were limited by cross-sectional designs, relatively small samples, and underrepresentation of various Latino heritage groups.

The investigators on this new study worked with data from the federal Hispanic Community Health Study/Study of Latinos (HCHS/SOL) in which more than 16,000 people participated.

This multiyear federal study drew people who self-identified with different heritage groups, including Cuban, Dominican, Mexican, Central American, South American, and Puerto Rican. Participants initially aged 18-74 years underwent a first round of exams and assessments between 2008 and 2011 to determine what risk factors they had at the start of the study. In the second phase, which took place from 2013 to 2018, participants had a second set of exams. The National Heart, Lung, and Blood Institute and the National Institute of Diabetes and Digestive and Kidney Diseases funded the HCHS/SOL.

The investigators initially had a potential data pool of 11,623 participants in the HCHS/SOL. About 1 of 8 in this group, or 1,424 participants (12.3%), did not undergo a sleep study or did not have sufficient sleep data for analyses. Another 93 (0.8%) participants were excluded for missing data on covariates.

For incident hypertension analyses, participants who had prevalent hypertension at the first screening in the HCHS/SOL (n = 3,139) or had missing data on hypertension (n = 2) were excluded. That resulted in an analytic sample of 6,965 for hypertension questions.

For incident diabetes analyses, participants who had prevalent diabetes at the first screening (n = 2,062) or had missing data on diabetes (n = 21) were excluded, yielding an analytic sample of 8,023.

Incident hypertension was defined as participants not having hypertension at baseline and having hypertension, defined as a systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or receiving antihypertensive medication within 4 weeks, at the second round of screening.
 

Cardiometabolic disease definitions

The researchers did not discriminate between type 1 and type 2 diabetes. They used the American Diabetes Association definition as a fasting plasma glucose 126 mg/dL or greater, 2-hour, postload plasma glucose 200 mg/dL or greater, or hemoglobin A1c 6.5% or greater, with an additional criterion on self-reported use of antidiabetic medication within 4 weeks before the visit.

In line with previous research, the investigators controlled for potential confounders measured at baseline including sociodemographic factors, health behaviors, and adiposity, which are considered important risk factors for both sleep disorders and incident metabolic diseases. These factors include education level, age, gender, and body mass index and whether participants had ever been smokers or users of alcohol.
 

Study limitations

Limitations of the study include use of a home sleep apnea test device that did not allow evaluation of arousal or sleep architecture. The researchers said this may have led to an underestimation of disease severity both due to overestimation of sleep time and underrecognition of hypopneas unassociated with desaturation. In addition, prior research has suggested that minority populations might underreport sleep disturbances, possibly “due to social desirability (a tendency not to encode a negative event), stress, stereotype threat, acculturation, attitudes, etc.” The participants were recruited mostly from urban areas, and the results might not be generalized to rural populations. In addition, 41% of study participants were of Mexican heritage, compared with 63% of the Hispanic population being of Mexican heritage in the United States.

Another researcher in the field of health disparities, Julia Roncoroni, PhD, assistant professor of psychology at the University of Denver, also noted this slight underrepresentation of Hispanics of Mexican origin and an overrepresentation of urban individuals in the HCHS/SOL.

“However, using data from HCHS/SOL, which is the largest multicenter epidemiological study of cardiovascular risk factors and sleep traits in U.S. Hispanics/Latinx, allows researchers to answer a high-impact question that would otherwise be prohibitively expensive and time consuming,” wrote Dr. Roncoroni.
 

Conclusions

The study offers “the first prospective evidence on the associations between SDB and insomnia with incident hypertension and diabetes in US Hispanics/Latinos.” The investigators concluded: “Given the fact that sleep disorders are largely undiagnosed and undertreated, they might represent modifiable targets for disease prevention and reduction among US Hispanics/Latinos. Culturally informed interventions focusing on detecting and treating sleep disorders might improve cardiometabolic health among US Hispanics/Latinos.”

Dr. Redline was partially supported by NIH grant R35 HL135818. This study drew from the Hispanic Community Health Study/Study of Latinos, which has been supported by contracts from the National Heart, Lung, and Blood Institute.

SOURCE: Li X et al. Am J Respir Crit Care Med. 2020 Aug 6. doi: 10.1164/rccm.201912-2330OC.

Sleep disorders may be silent precursors of cardiometabolic disease among U.S. Latinos, said authors of a newly published study.

Xiaoyu Li, ScD, and Susan Redline, MD, MPH, of Harvard Medical School and Brigham and Women’s Hospital, Boston, and coauthors conducted a study of people who self-identified as Latino, who had baseline sleeping disorders, and who developed hypertension and diabetes over time. The study was published in the American Journal of Respiratory and Critical Care Medicine.

The findings suggested that sleep disorders preceded the development of hypertension and diabetes. Examining records from a major multiyear federal project, the Hispanic Community Health Study/Study of Latinos, Dr. Li, Dr. Redline, and coauthors found sleep-disordered breathing (SDB) was associated with a 1.54 higher adjusted odds of incident hypertension (95% confidence interval [CI], 1.18-2.00) and 1.33 higher odds of incident diabetes (95% CI, 1.05-1.67), compared with no SDB. Insomnia was associated with incident hypertension (odds ratio, 1.37; 95% CI, 1.11-1.69), but not diabetes. The association between insomnia and incident hypertension was stronger among men than women, they reported.

“We now need large-scale rigorous trials to evaluate the impact of early treatment of sleep disordered breathing and insomnia on preventing the development of hypertension and diabetes,” Dr. Redline said in an interview. “Clinicians should consider screening their patients at risk for hypertension and diabetes for both sleep-disordered breathing and insomnia.”
 

Implications for public health strategies

The study results may have implications for health strategies and policies aimed at addressing health differentials among ethnic and economic groups in the United States.

Suboptimal sleep health may be an important fundamental but understudied contributor to health disparities, Chandra L. Jackson, PhD, MS, of the National Institute of Environmental Health Sciences, Research Triangle, N.C., said in an interview. Dr. Jackson is the lead author for a report published in August on a 2018 National Institutes of Health workshop regarding the importance of studying sleep health disparities (Sleep 2020 Mar 10. doi: 10.1093/sleep/zsaa037). The NIH workshop emphasized how little research has been done on the prevalence, incidence, morbidity, or mortality of sleep deficiencies of racial and ethnic minority populations, even though members of these groups are generally more likely to experience sleep disorders. The report urged “a nuanced integration between health disparity causal pathways and sleep and circadian-related mechanisms” tailored for these groups, with attention paid to sociocultural context.

Dr. Jackson said the study by Dr. Li and colleagues fits nicely with the strategies recommended in this report. She added: “Prospective design is particularly important for establishing temporality or that the SDB and insomnia symptoms occurred before the outcomes of hypertension and diabetes.”

In commenting on the Xi/Redline paper, Krishna M. Sundar, MD, FCCP, medical director of the Sleep-Wake Center at the University of Utah, Salt Lake City, commended the study and noted that one of the challenges in sleep research is the long time period over which the effects of disordered breathing become clear, he said.

“Things don’t happen immediately. It takes months, years for the effects to develop,” Dr. Sundar said. “To try to piece together the relationships, you need very well planned studies.”
 

Study design: Participants and exclusions

Latinos currently make up 17.8%, or 57.5 million, of the U.S. population, and this group is expected to double within the next 4 decades, the investigators wrote. A few prior studies on the roles of sleep disorders in the cardiometabolic health of Latinos, though suggestive, were limited by cross-sectional designs, relatively small samples, and underrepresentation of various Latino heritage groups.

The investigators on this new study worked with data from the federal Hispanic Community Health Study/Study of Latinos (HCHS/SOL) in which more than 16,000 people participated.

This multiyear federal study drew people who self-identified with different heritage groups, including Cuban, Dominican, Mexican, Central American, South American, and Puerto Rican. Participants initially aged 18-74 years underwent a first round of exams and assessments between 2008 and 2011 to determine what risk factors they had at the start of the study. In the second phase, which took place from 2013 to 2018, participants had a second set of exams. The National Heart, Lung, and Blood Institute and the National Institute of Diabetes and Digestive and Kidney Diseases funded the HCHS/SOL.

The investigators initially had a potential data pool of 11,623 participants in the HCHS/SOL. About 1 of 8 in this group, or 1,424 participants (12.3%), did not undergo a sleep study or did not have sufficient sleep data for analyses. Another 93 (0.8%) participants were excluded for missing data on covariates.

For incident hypertension analyses, participants who had prevalent hypertension at the first screening in the HCHS/SOL (n = 3,139) or had missing data on hypertension (n = 2) were excluded. That resulted in an analytic sample of 6,965 for hypertension questions.

For incident diabetes analyses, participants who had prevalent diabetes at the first screening (n = 2,062) or had missing data on diabetes (n = 21) were excluded, yielding an analytic sample of 8,023.

Incident hypertension was defined as participants not having hypertension at baseline and having hypertension, defined as a systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or receiving antihypertensive medication within 4 weeks, at the second round of screening.
 

Cardiometabolic disease definitions

The researchers did not discriminate between type 1 and type 2 diabetes. They used the American Diabetes Association definition as a fasting plasma glucose 126 mg/dL or greater, 2-hour, postload plasma glucose 200 mg/dL or greater, or hemoglobin A1c 6.5% or greater, with an additional criterion on self-reported use of antidiabetic medication within 4 weeks before the visit.

In line with previous research, the investigators controlled for potential confounders measured at baseline including sociodemographic factors, health behaviors, and adiposity, which are considered important risk factors for both sleep disorders and incident metabolic diseases. These factors include education level, age, gender, and body mass index and whether participants had ever been smokers or users of alcohol.
 

Study limitations

Limitations of the study include use of a home sleep apnea test device that did not allow evaluation of arousal or sleep architecture. The researchers said this may have led to an underestimation of disease severity both due to overestimation of sleep time and underrecognition of hypopneas unassociated with desaturation. In addition, prior research has suggested that minority populations might underreport sleep disturbances, possibly “due to social desirability (a tendency not to encode a negative event), stress, stereotype threat, acculturation, attitudes, etc.” The participants were recruited mostly from urban areas, and the results might not be generalized to rural populations. In addition, 41% of study participants were of Mexican heritage, compared with 63% of the Hispanic population being of Mexican heritage in the United States.

Another researcher in the field of health disparities, Julia Roncoroni, PhD, assistant professor of psychology at the University of Denver, also noted this slight underrepresentation of Hispanics of Mexican origin and an overrepresentation of urban individuals in the HCHS/SOL.

“However, using data from HCHS/SOL, which is the largest multicenter epidemiological study of cardiovascular risk factors and sleep traits in U.S. Hispanics/Latinx, allows researchers to answer a high-impact question that would otherwise be prohibitively expensive and time consuming,” wrote Dr. Roncoroni.
 

Conclusions

The study offers “the first prospective evidence on the associations between SDB and insomnia with incident hypertension and diabetes in US Hispanics/Latinos.” The investigators concluded: “Given the fact that sleep disorders are largely undiagnosed and undertreated, they might represent modifiable targets for disease prevention and reduction among US Hispanics/Latinos. Culturally informed interventions focusing on detecting and treating sleep disorders might improve cardiometabolic health among US Hispanics/Latinos.”

Dr. Redline was partially supported by NIH grant R35 HL135818. This study drew from the Hispanic Community Health Study/Study of Latinos, which has been supported by contracts from the National Heart, Lung, and Blood Institute.

SOURCE: Li X et al. Am J Respir Crit Care Med. 2020 Aug 6. doi: 10.1164/rccm.201912-2330OC.

Sleep disorders may be silent precursors of cardiometabolic disease among U.S. Latinos, said authors of a newly published study.

Xiaoyu Li, ScD, and Susan Redline, MD, MPH, of Harvard Medical School and Brigham and Women’s Hospital, Boston, and coauthors conducted a study of people who self-identified as Latino, who had baseline sleeping disorders, and who developed hypertension and diabetes over time. The study was published in the American Journal of Respiratory and Critical Care Medicine.

The findings suggested that sleep disorders preceded the development of hypertension and diabetes. Examining records from a major multiyear federal project, the Hispanic Community Health Study/Study of Latinos, Dr. Li, Dr. Redline, and coauthors found sleep-disordered breathing (SDB) was associated with a 1.54 higher adjusted odds of incident hypertension (95% confidence interval [CI], 1.18-2.00) and 1.33 higher odds of incident diabetes (95% CI, 1.05-1.67), compared with no SDB. Insomnia was associated with incident hypertension (odds ratio, 1.37; 95% CI, 1.11-1.69), but not diabetes. The association between insomnia and incident hypertension was stronger among men than women, they reported.

“We now need large-scale rigorous trials to evaluate the impact of early treatment of sleep disordered breathing and insomnia on preventing the development of hypertension and diabetes,” Dr. Redline said in an interview. “Clinicians should consider screening their patients at risk for hypertension and diabetes for both sleep-disordered breathing and insomnia.”
 

Implications for public health strategies

The study results may have implications for health strategies and policies aimed at addressing health differentials among ethnic and economic groups in the United States.

Suboptimal sleep health may be an important fundamental but understudied contributor to health disparities, Chandra L. Jackson, PhD, MS, of the National Institute of Environmental Health Sciences, Research Triangle, N.C., said in an interview. Dr. Jackson is the lead author for a report published in August on a 2018 National Institutes of Health workshop regarding the importance of studying sleep health disparities (Sleep 2020 Mar 10. doi: 10.1093/sleep/zsaa037). The NIH workshop emphasized how little research has been done on the prevalence, incidence, morbidity, or mortality of sleep deficiencies of racial and ethnic minority populations, even though members of these groups are generally more likely to experience sleep disorders. The report urged “a nuanced integration between health disparity causal pathways and sleep and circadian-related mechanisms” tailored for these groups, with attention paid to sociocultural context.

Dr. Jackson said the study by Dr. Li and colleagues fits nicely with the strategies recommended in this report. She added: “Prospective design is particularly important for establishing temporality or that the SDB and insomnia symptoms occurred before the outcomes of hypertension and diabetes.”

In commenting on the Xi/Redline paper, Krishna M. Sundar, MD, FCCP, medical director of the Sleep-Wake Center at the University of Utah, Salt Lake City, commended the study and noted that one of the challenges in sleep research is the long time period over which the effects of disordered breathing become clear, he said.

“Things don’t happen immediately. It takes months, years for the effects to develop,” Dr. Sundar said. “To try to piece together the relationships, you need very well planned studies.”
 

Study design: Participants and exclusions

Latinos currently make up 17.8%, or 57.5 million, of the U.S. population, and this group is expected to double within the next 4 decades, the investigators wrote. A few prior studies on the roles of sleep disorders in the cardiometabolic health of Latinos, though suggestive, were limited by cross-sectional designs, relatively small samples, and underrepresentation of various Latino heritage groups.

The investigators on this new study worked with data from the federal Hispanic Community Health Study/Study of Latinos (HCHS/SOL) in which more than 16,000 people participated.

This multiyear federal study drew people who self-identified with different heritage groups, including Cuban, Dominican, Mexican, Central American, South American, and Puerto Rican. Participants initially aged 18-74 years underwent a first round of exams and assessments between 2008 and 2011 to determine what risk factors they had at the start of the study. In the second phase, which took place from 2013 to 2018, participants had a second set of exams. The National Heart, Lung, and Blood Institute and the National Institute of Diabetes and Digestive and Kidney Diseases funded the HCHS/SOL.

The investigators initially had a potential data pool of 11,623 participants in the HCHS/SOL. About 1 of 8 in this group, or 1,424 participants (12.3%), did not undergo a sleep study or did not have sufficient sleep data for analyses. Another 93 (0.8%) participants were excluded for missing data on covariates.

For incident hypertension analyses, participants who had prevalent hypertension at the first screening in the HCHS/SOL (n = 3,139) or had missing data on hypertension (n = 2) were excluded. That resulted in an analytic sample of 6,965 for hypertension questions.

For incident diabetes analyses, participants who had prevalent diabetes at the first screening (n = 2,062) or had missing data on diabetes (n = 21) were excluded, yielding an analytic sample of 8,023.

Incident hypertension was defined as participants not having hypertension at baseline and having hypertension, defined as a systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or receiving antihypertensive medication within 4 weeks, at the second round of screening.
 

Cardiometabolic disease definitions

The researchers did not discriminate between type 1 and type 2 diabetes. They used the American Diabetes Association definition as a fasting plasma glucose 126 mg/dL or greater, 2-hour, postload plasma glucose 200 mg/dL or greater, or hemoglobin A1c 6.5% or greater, with an additional criterion on self-reported use of antidiabetic medication within 4 weeks before the visit.

In line with previous research, the investigators controlled for potential confounders measured at baseline including sociodemographic factors, health behaviors, and adiposity, which are considered important risk factors for both sleep disorders and incident metabolic diseases. These factors include education level, age, gender, and body mass index and whether participants had ever been smokers or users of alcohol.
 

Study limitations

Limitations of the study include use of a home sleep apnea test device that did not allow evaluation of arousal or sleep architecture. The researchers said this may have led to an underestimation of disease severity both due to overestimation of sleep time and underrecognition of hypopneas unassociated with desaturation. In addition, prior research has suggested that minority populations might underreport sleep disturbances, possibly “due to social desirability (a tendency not to encode a negative event), stress, stereotype threat, acculturation, attitudes, etc.” The participants were recruited mostly from urban areas, and the results might not be generalized to rural populations. In addition, 41% of study participants were of Mexican heritage, compared with 63% of the Hispanic population being of Mexican heritage in the United States.

Another researcher in the field of health disparities, Julia Roncoroni, PhD, assistant professor of psychology at the University of Denver, also noted this slight underrepresentation of Hispanics of Mexican origin and an overrepresentation of urban individuals in the HCHS/SOL.

“However, using data from HCHS/SOL, which is the largest multicenter epidemiological study of cardiovascular risk factors and sleep traits in U.S. Hispanics/Latinx, allows researchers to answer a high-impact question that would otherwise be prohibitively expensive and time consuming,” wrote Dr. Roncoroni.
 

Conclusions

The study offers “the first prospective evidence on the associations between SDB and insomnia with incident hypertension and diabetes in US Hispanics/Latinos.” The investigators concluded: “Given the fact that sleep disorders are largely undiagnosed and undertreated, they might represent modifiable targets for disease prevention and reduction among US Hispanics/Latinos. Culturally informed interventions focusing on detecting and treating sleep disorders might improve cardiometabolic health among US Hispanics/Latinos.”

Dr. Redline was partially supported by NIH grant R35 HL135818. This study drew from the Hispanic Community Health Study/Study of Latinos, which has been supported by contracts from the National Heart, Lung, and Blood Institute.

SOURCE: Li X et al. Am J Respir Crit Care Med. 2020 Aug 6. doi: 10.1164/rccm.201912-2330OC.

Shorter sleep duration, more wakefulness, and changes in the sleep cycle brought on by microgravity make it tough for astronauts to get a good night’s sleep while they’re in outer space, a new study shows. In research that has implications for earthlings as well as astronauts, scientists found that the “significant sleep changes induced by the extreme environmental conditions of spaceflight can magnify and help reveal similar, though potentially less noticeable, changes that are induced by the more moderate conditions of Earth.

“Our results support other studies indicating that sleep architecture can adapt to different environments. Also, the sleep deficits that our subjects were facing while working around the clock in a high-pressure environment provide further evidence for the danger of stress and shift-work schedules for humans anywhere,” study investigator Oliver Piltch, of Harvard University, Cambridge, Mass., said in a release.

The findings were presented at the virtual annual meeting of the Associated Professional Sleep Societies.
 

Sleep architecture affected

The researchers studied sleep architecture in four cosmonauts and one astronaut before, during, and after missions to the Mir space station. Using the NightCap sleep monitor, they recorded a total of 324 nights of sleep – 112 preflight nights, 83 in-flight nights, and 61 postflight nights.

Despite having the same “sleep opportunity” in space as on earth, the astronauts were on average sleeping an hour less each night during the space mission compared with when on earth before or after their mission (5.7 vs. 6.7 hours; P < .0001). In space, the astronauts also spent significantly more time awake in bed, leading to a 17.7% reduction in sleep efficiency.

Sleep architecture was also affected by spaceflight. In space, the time in non–rapid eye movement (non–REM) and REM sleep decreased by 14.1% and 25.8%, respectively. On average, it took about 90 minutes after falling asleep for astronauts to reach their first episode of REM sleep in space – nearly 1.5 times longer than on earth. “There were marked shifts in sleep architecture compared to baseline, and some of these evolved over the course of the mission,” said Mr. Piltch.

“Our findings were consistent with previous studies that focus on the issue of sleep continuity. We found significant decreases in sleep efficiency during spaceflight despite similar times in bed,” he noted.

Mr. Piltch said it’s important to understand how sleep is affected by spaceflight in order to better equip astronauts for success on long-duration flights, such as a trip to Mars or the Moon. He also pointed to a recent study in the Lancet Neurology that showed that 78% of the international space station crew take hypnotics on 52% of nights in space. “So it doesn’t look like they sleep very well in space,” he said.
 

High-stakes environment

Reached for comment, Camilo A. Ruiz, DO, medical director, Choice Physicians Sleep Center, Fort Lauderdale, Fla., said the findings add to the “limited” data currently available on sleep in space and microgravity. “To a certain point, the results of this study could have been expected since sleep continuity and sleep architecture disruption is present during stressful periods of human life or in changes to the sleep rituals we hold dear, such as our beds and quiet bedrooms,” said Dr. Ruiz, who was not involved in the study.

“The potential harm to astronauts from their sleep continuity and deranged sleep architecture is that the decreased alertness, performance, vigilance, and psychomotor skills they exhibit in that high-stakes environment such as space flight can lead to serious accidents that can jeopardize the safety of the crew and vessel,” Dr. Ruiz noted.

“These research areas are on the forefront of space medicine that will allow mankind to lead successful interplanetary missions and colonization of these planets with long-term resident astronauts,” he added.

The study was supported by funding from the Mary Gordon Roberts Fellowship, the National Academy of Sciences, the National Institute of Mental Health, the MacArthur Foundation Mind-Body Network, and Healthdyne Technologies. Mr. Piltch and Dr. Ruiz have no disclosed no relevant financial relationships.
 

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

Shorter sleep duration, more wakefulness, and changes in the sleep cycle brought on by microgravity make it tough for astronauts to get a good night’s sleep while they’re in outer space, a new study shows. In research that has implications for earthlings as well as astronauts, scientists found that the “significant sleep changes induced by the extreme environmental conditions of spaceflight can magnify and help reveal similar, though potentially less noticeable, changes that are induced by the more moderate conditions of Earth.

“Our results support other studies indicating that sleep architecture can adapt to different environments. Also, the sleep deficits that our subjects were facing while working around the clock in a high-pressure environment provide further evidence for the danger of stress and shift-work schedules for humans anywhere,” study investigator Oliver Piltch, of Harvard University, Cambridge, Mass., said in a release.

The findings were presented at the virtual annual meeting of the Associated Professional Sleep Societies.
 

Sleep architecture affected

The researchers studied sleep architecture in four cosmonauts and one astronaut before, during, and after missions to the Mir space station. Using the NightCap sleep monitor, they recorded a total of 324 nights of sleep – 112 preflight nights, 83 in-flight nights, and 61 postflight nights.

Despite having the same “sleep opportunity” in space as on earth, the astronauts were on average sleeping an hour less each night during the space mission compared with when on earth before or after their mission (5.7 vs. 6.7 hours; P < .0001). In space, the astronauts also spent significantly more time awake in bed, leading to a 17.7% reduction in sleep efficiency.

Sleep architecture was also affected by spaceflight. In space, the time in non–rapid eye movement (non–REM) and REM sleep decreased by 14.1% and 25.8%, respectively. On average, it took about 90 minutes after falling asleep for astronauts to reach their first episode of REM sleep in space – nearly 1.5 times longer than on earth. “There were marked shifts in sleep architecture compared to baseline, and some of these evolved over the course of the mission,” said Mr. Piltch.

“Our findings were consistent with previous studies that focus on the issue of sleep continuity. We found significant decreases in sleep efficiency during spaceflight despite similar times in bed,” he noted.

Mr. Piltch said it’s important to understand how sleep is affected by spaceflight in order to better equip astronauts for success on long-duration flights, such as a trip to Mars or the Moon. He also pointed to a recent study in the Lancet Neurology that showed that 78% of the international space station crew take hypnotics on 52% of nights in space. “So it doesn’t look like they sleep very well in space,” he said.
 

High-stakes environment

Reached for comment, Camilo A. Ruiz, DO, medical director, Choice Physicians Sleep Center, Fort Lauderdale, Fla., said the findings add to the “limited” data currently available on sleep in space and microgravity. “To a certain point, the results of this study could have been expected since sleep continuity and sleep architecture disruption is present during stressful periods of human life or in changes to the sleep rituals we hold dear, such as our beds and quiet bedrooms,” said Dr. Ruiz, who was not involved in the study.

“The potential harm to astronauts from their sleep continuity and deranged sleep architecture is that the decreased alertness, performance, vigilance, and psychomotor skills they exhibit in that high-stakes environment such as space flight can lead to serious accidents that can jeopardize the safety of the crew and vessel,” Dr. Ruiz noted.

“These research areas are on the forefront of space medicine that will allow mankind to lead successful interplanetary missions and colonization of these planets with long-term resident astronauts,” he added.

The study was supported by funding from the Mary Gordon Roberts Fellowship, the National Academy of Sciences, the National Institute of Mental Health, the MacArthur Foundation Mind-Body Network, and Healthdyne Technologies. Mr. Piltch and Dr. Ruiz have no disclosed no relevant financial relationships.
 

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

Shorter sleep duration, more wakefulness, and changes in the sleep cycle brought on by microgravity make it tough for astronauts to get a good night’s sleep while they’re in outer space, a new study shows. In research that has implications for earthlings as well as astronauts, scientists found that the “significant sleep changes induced by the extreme environmental conditions of spaceflight can magnify and help reveal similar, though potentially less noticeable, changes that are induced by the more moderate conditions of Earth.

“Our results support other studies indicating that sleep architecture can adapt to different environments. Also, the sleep deficits that our subjects were facing while working around the clock in a high-pressure environment provide further evidence for the danger of stress and shift-work schedules for humans anywhere,” study investigator Oliver Piltch, of Harvard University, Cambridge, Mass., said in a release.

The findings were presented at the virtual annual meeting of the Associated Professional Sleep Societies.
 

Sleep architecture affected

The researchers studied sleep architecture in four cosmonauts and one astronaut before, during, and after missions to the Mir space station. Using the NightCap sleep monitor, they recorded a total of 324 nights of sleep – 112 preflight nights, 83 in-flight nights, and 61 postflight nights.

Despite having the same “sleep opportunity” in space as on earth, the astronauts were on average sleeping an hour less each night during the space mission compared with when on earth before or after their mission (5.7 vs. 6.7 hours; P < .0001). In space, the astronauts also spent significantly more time awake in bed, leading to a 17.7% reduction in sleep efficiency.

Sleep architecture was also affected by spaceflight. In space, the time in non–rapid eye movement (non–REM) and REM sleep decreased by 14.1% and 25.8%, respectively. On average, it took about 90 minutes after falling asleep for astronauts to reach their first episode of REM sleep in space – nearly 1.5 times longer than on earth. “There were marked shifts in sleep architecture compared to baseline, and some of these evolved over the course of the mission,” said Mr. Piltch.

“Our findings were consistent with previous studies that focus on the issue of sleep continuity. We found significant decreases in sleep efficiency during spaceflight despite similar times in bed,” he noted.

Mr. Piltch said it’s important to understand how sleep is affected by spaceflight in order to better equip astronauts for success on long-duration flights, such as a trip to Mars or the Moon. He also pointed to a recent study in the Lancet Neurology that showed that 78% of the international space station crew take hypnotics on 52% of nights in space. “So it doesn’t look like they sleep very well in space,” he said.
 

High-stakes environment

Reached for comment, Camilo A. Ruiz, DO, medical director, Choice Physicians Sleep Center, Fort Lauderdale, Fla., said the findings add to the “limited” data currently available on sleep in space and microgravity. “To a certain point, the results of this study could have been expected since sleep continuity and sleep architecture disruption is present during stressful periods of human life or in changes to the sleep rituals we hold dear, such as our beds and quiet bedrooms,” said Dr. Ruiz, who was not involved in the study.

“The potential harm to astronauts from their sleep continuity and deranged sleep architecture is that the decreased alertness, performance, vigilance, and psychomotor skills they exhibit in that high-stakes environment such as space flight can lead to serious accidents that can jeopardize the safety of the crew and vessel,” Dr. Ruiz noted.

“These research areas are on the forefront of space medicine that will allow mankind to lead successful interplanetary missions and colonization of these planets with long-term resident astronauts,” he added.

The study was supported by funding from the Mary Gordon Roberts Fellowship, the National Academy of Sciences, the National Institute of Mental Health, the MacArthur Foundation Mind-Body Network, and Healthdyne Technologies. Mr. Piltch and Dr. Ruiz have no disclosed no relevant financial relationships.
 

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

Frequent nightmares are independently linked to an increased risk for cardiovascular disease (CVD), new research shows. In what researchers describe as “surprising” findings, results from a large study of relatively young military veterans showed those who had nightmares two or more times per week had significantly increased risks for hypertension, myocardial infarction, or other heart problems.  

“A diagnosis of PTSD incorporates sleep disturbance as a symptom. Thus, we were surprised to find that nightmares continued to be associated with CVD after controlling not only for PTSD and demographic factors, but also smoking and depression diagnosis,” said Christi Ulmer, PhD, of the department of psychiatry and behavioral sciences, Duke University Medical Center, Durham, N.C.

The findings were presented at the virtual annual meeting of the Associated Professional Sleep Societies.
 

Unclear mechanism

The study included 3,468 veterans (77% male) with a mean age of 38 years who had served one or two tours of duty since Sept. 11, 2001. Nearly one-third (31%) met criteria for PTSD, and 33% self-reported having at least one cardiovascular condition, such as heart problems, hypertension, stroke, and MI.

Nightmare frequency and severity was assessed using the Davidson Trauma Scale. Nightmares were considered frequent if they occurred two or more times per week and moderate to severe if they were at least moderately distressing. About 31% of veterans reported having frequent nightmares, and 35% reported moderately distressing nightmares over the past week.

After adjusting for age, race, and sex, frequent nightmares were associated with hypertension (odds ratio, 1.51; 95% confidence interval, 1.28-1.78), heart problems (OR, 1.50; 95% CI, 1.11-2.02), and MI (OR, 2.32; 95% CI, 1.18-4.54).

Associations between frequent nightmares and hypertension (OR, 1.43; 95% CI, 1.17-1.73) and heart problems (OR, 1.43; 95% CI, 1.00-2.05) remained significant after further adjusting for smoking, depression, and PTSD.

“Our cross-sectional findings set the stage for future research examining the possibility that nightmares may confer cardiovascular disease risks beyond those conferred by PTSD diagnosis alone,” Dr. Ulmer said in a news release.

Dr. Ulmer also said that, because the study was based on self-reported data, the findings are “very preliminary.” Before doctors adjust clinical practices, it’s important that our findings be replicated using longitudinal studies, clinically diagnosed medical conditions, and objectively assessed sleep,” she said.

She added that more research is needed to uncover mechanisms explaining these associations and determine if reducing the frequency and severity of nightmares can lead to improved cardiovascular health.
 

Timely research

Reached for comment, Rajkumar (Raj) Dasgupta, MD, of the University of Southern California, Los Angeles, noted “the correlation between nightmares and heart disease is a timely topic right now with COVID-19 as more people may be having nightmares.”

“If a patient mentions nightmares, I do think it’s important not to just glaze over it, but to talk more about it and document it in the patient record, especially in patients with cardiovascular disease, atrial fibrillation, diabetes, and hypertension,” said Dr. Dasgupta, who wasn’t involved in the study.

The research was supported by the Veterans Integrated Service Network 6 Mental Illness Research, Education and Clinical Center and the Department of Veterans Affairs HSR&D ADAPT Center at the Durham VA Health Care System. Dr. Ulmer and Dr. Dasgupta have disclosed no relevant financial relationships.

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

Frequent nightmares are independently linked to an increased risk for cardiovascular disease (CVD), new research shows. In what researchers describe as “surprising” findings, results from a large study of relatively young military veterans showed those who had nightmares two or more times per week had significantly increased risks for hypertension, myocardial infarction, or other heart problems.  

“A diagnosis of PTSD incorporates sleep disturbance as a symptom. Thus, we were surprised to find that nightmares continued to be associated with CVD after controlling not only for PTSD and demographic factors, but also smoking and depression diagnosis,” said Christi Ulmer, PhD, of the department of psychiatry and behavioral sciences, Duke University Medical Center, Durham, N.C.

The findings were presented at the virtual annual meeting of the Associated Professional Sleep Societies.
 

Unclear mechanism

The study included 3,468 veterans (77% male) with a mean age of 38 years who had served one or two tours of duty since Sept. 11, 2001. Nearly one-third (31%) met criteria for PTSD, and 33% self-reported having at least one cardiovascular condition, such as heart problems, hypertension, stroke, and MI.

Nightmare frequency and severity was assessed using the Davidson Trauma Scale. Nightmares were considered frequent if they occurred two or more times per week and moderate to severe if they were at least moderately distressing. About 31% of veterans reported having frequent nightmares, and 35% reported moderately distressing nightmares over the past week.

After adjusting for age, race, and sex, frequent nightmares were associated with hypertension (odds ratio, 1.51; 95% confidence interval, 1.28-1.78), heart problems (OR, 1.50; 95% CI, 1.11-2.02), and MI (OR, 2.32; 95% CI, 1.18-4.54).

Associations between frequent nightmares and hypertension (OR, 1.43; 95% CI, 1.17-1.73) and heart problems (OR, 1.43; 95% CI, 1.00-2.05) remained significant after further adjusting for smoking, depression, and PTSD.

“Our cross-sectional findings set the stage for future research examining the possibility that nightmares may confer cardiovascular disease risks beyond those conferred by PTSD diagnosis alone,” Dr. Ulmer said in a news release.

Dr. Ulmer also said that, because the study was based on self-reported data, the findings are “very preliminary.” Before doctors adjust clinical practices, it’s important that our findings be replicated using longitudinal studies, clinically diagnosed medical conditions, and objectively assessed sleep,” she said.

She added that more research is needed to uncover mechanisms explaining these associations and determine if reducing the frequency and severity of nightmares can lead to improved cardiovascular health.
 

Timely research

Reached for comment, Rajkumar (Raj) Dasgupta, MD, of the University of Southern California, Los Angeles, noted “the correlation between nightmares and heart disease is a timely topic right now with COVID-19 as more people may be having nightmares.”

“If a patient mentions nightmares, I do think it’s important not to just glaze over it, but to talk more about it and document it in the patient record, especially in patients with cardiovascular disease, atrial fibrillation, diabetes, and hypertension,” said Dr. Dasgupta, who wasn’t involved in the study.

The research was supported by the Veterans Integrated Service Network 6 Mental Illness Research, Education and Clinical Center and the Department of Veterans Affairs HSR&D ADAPT Center at the Durham VA Health Care System. Dr. Ulmer and Dr. Dasgupta have disclosed no relevant financial relationships.

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

Frequent nightmares are independently linked to an increased risk for cardiovascular disease (CVD), new research shows. In what researchers describe as “surprising” findings, results from a large study of relatively young military veterans showed those who had nightmares two or more times per week had significantly increased risks for hypertension, myocardial infarction, or other heart problems.  

“A diagnosis of PTSD incorporates sleep disturbance as a symptom. Thus, we were surprised to find that nightmares continued to be associated with CVD after controlling not only for PTSD and demographic factors, but also smoking and depression diagnosis,” said Christi Ulmer, PhD, of the department of psychiatry and behavioral sciences, Duke University Medical Center, Durham, N.C.

The findings were presented at the virtual annual meeting of the Associated Professional Sleep Societies.
 

Unclear mechanism

The study included 3,468 veterans (77% male) with a mean age of 38 years who had served one or two tours of duty since Sept. 11, 2001. Nearly one-third (31%) met criteria for PTSD, and 33% self-reported having at least one cardiovascular condition, such as heart problems, hypertension, stroke, and MI.

Nightmare frequency and severity was assessed using the Davidson Trauma Scale. Nightmares were considered frequent if they occurred two or more times per week and moderate to severe if they were at least moderately distressing. About 31% of veterans reported having frequent nightmares, and 35% reported moderately distressing nightmares over the past week.

After adjusting for age, race, and sex, frequent nightmares were associated with hypertension (odds ratio, 1.51; 95% confidence interval, 1.28-1.78), heart problems (OR, 1.50; 95% CI, 1.11-2.02), and MI (OR, 2.32; 95% CI, 1.18-4.54).

Associations between frequent nightmares and hypertension (OR, 1.43; 95% CI, 1.17-1.73) and heart problems (OR, 1.43; 95% CI, 1.00-2.05) remained significant after further adjusting for smoking, depression, and PTSD.

“Our cross-sectional findings set the stage for future research examining the possibility that nightmares may confer cardiovascular disease risks beyond those conferred by PTSD diagnosis alone,” Dr. Ulmer said in a news release.

Dr. Ulmer also said that, because the study was based on self-reported data, the findings are “very preliminary.” Before doctors adjust clinical practices, it’s important that our findings be replicated using longitudinal studies, clinically diagnosed medical conditions, and objectively assessed sleep,” she said.

She added that more research is needed to uncover mechanisms explaining these associations and determine if reducing the frequency and severity of nightmares can lead to improved cardiovascular health.
 

Timely research

Reached for comment, Rajkumar (Raj) Dasgupta, MD, of the University of Southern California, Los Angeles, noted “the correlation between nightmares and heart disease is a timely topic right now with COVID-19 as more people may be having nightmares.”

“If a patient mentions nightmares, I do think it’s important not to just glaze over it, but to talk more about it and document it in the patient record, especially in patients with cardiovascular disease, atrial fibrillation, diabetes, and hypertension,” said Dr. Dasgupta, who wasn’t involved in the study.

The research was supported by the Veterans Integrated Service Network 6 Mental Illness Research, Education and Clinical Center and the Department of Veterans Affairs HSR&D ADAPT Center at the Durham VA Health Care System. Dr. Ulmer and Dr. Dasgupta have disclosed no relevant financial relationships.

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