Neurology

ORLANDO — People with epilepsy are more likely to decline cognitively compared with those without epilepsy, new research suggests.

Results of the large, longitudinal study show that seizures predicted earlier conversion time from normal cognition to mild cognitive impairment (MCI) but were not associated with conversion from MCI to dementia.

“Modifiable cardiovascular risk factors such as hypertension and diabetes need to be treated more aggressively because they can impact cognition, but epilepsy is another risk factor that needs to be treated in a timely fashion because it appears to be also associated with cognitive impairment,” said study investigator Ifrah Zawar MD, assistant professor, Department of Neurology, University of Virginia in Charlottesville.

The study (abstract #2.172) was presented on December 2 at the American Epilepsy Society annual meeting.
 

An Understudied Issue

Comorbid seizures occur in up to 64% of those with dementia, and patients with dementia and epilepsy have a more aggressive disease course, faster cognitive decline, and more severe neuronal loss, Dr. Zawar told Medscape Medical News.

But the impact of seizures on the conversion of cognitively healthy to MCI and from MCI to dementia, after accounting for cardiovascular risk factors, has not been well studied.

Researchers analyzed longitudinal data of 13,726 patients, mean age about 70 years, who were cognitively healthy or had mild cognitive impairment (MCI). Participants were recruited from 39 Alzheimer’s Disease (AD) centers in the United States from 2005 to 2021. 

Investigators categorized participants into three groups: active (having had seizures in the past year and/or requiring active treatment; N = 118), resolved (not on any treatment for the past year and not having seizures; N = 226), and no seizures (never having had seizures; N = 13,382).

The primary outcome was conversion from cognitively healthy to MCI/dementia and from MCI to dementia in those with and without active epilepsy and resolved epilepsy.

Factors associated with conversion from cognitively healthy to MCI among those with current or active epilepsy included older age (P <.001 for ages 60-80 years and P =.002 for age 80 years or older vs younger than 60 years), male sex (P <.001), lower education (P <.001), hypertension (P <.001), and diabetes (P <.001).

The hazard ratio (HR) for earlier conversion from healthy to worse cognition among those with active epilepsy was 1.76 (95% CI, 1.38-2.24; P <.001), even after accounting for risk factors.

Kaplan-Meier curves showed that the median time to convert from healthy cognition to MCI among people with active epilepsy was about 5 years compared with about 9 years for those with resolved epilepsy and 10.5 years for those without epilepsy.

The story was similar for faster conversion from MCI to dementia. Compared with having no epilepsy, the HR for faster conversion for active epilepsy was 1.44 (95% CI, 1.20-1.73; P <.001).

In addition, the median time to conversion from MCI to dementia was about 3 years for those with active epilepsy compared with about 5 years for those with resolved epilepsy and about 5 years for those without epilepsy.

“It’s important for physicians to understand that uncontrolled epilepsy or active epilepsy is going to impact patients’ cognition adversely, which in itself is associated with increased comorbidity and mortality,” said Dr. Zawar.

The mechanism driving the acceleration to worse cognition in people with epilepsy is “complicated and involves a multitude of factors,” she said.

The researchers did not specifically investigate how use of antiseizure medications correlated with cognitive outcomes, but Dr. Zawar believes that “epilepsy in itself impacts cognition.”

The researchers also didn’t have EEG data for study participants who were recruited from Alzheimer’s disease centers where EEGs aren’t routinely carried out, so such data for many patients may not necessarily exist, said Dr. Zawar.
 

Important Research

Commenting for this news organization, Bruce Hermann, PhD, professor emeritus, Department of Neurology, University of Wisconsin School of Medicine and Public Health,  said that the study is important because of the, “tremendous interest and concern about aging with epilepsy.”

“We want to know how people with chronic epilepsy age cognitively and what’s the cognitive course of those who have late onset epilepsy, particularly those with unknown etiology,” he added. 

Dr. Hermann noted that much of the research in this area has been relatively small and single-center investigations. 

“These larger-scale investigations from outside the epilepsy community are so important because they have data on large numbers of subjects, they have cognitive data, and follow-ups over long periods of time, and they’re providing some really novel information,” Dr. Hermann said. 

He added that terms used in the dementia world such as MCI and frank dementia are somewhat foreign to epileptologists. In addition, interventions to delay, treat, or prevent cognitive decline such as exercise, diet, social activity, and mental stimulation that are regularly discussed by dementia experts are underrepresented in the epilepsy world.

“The things they talk about in memory clinics in the aging world almost routinely have not penetrated to the epilepsy clinics for aging individuals and for the epilepsy community in general.”

The study used the Montreal Cognitive Assessment to identify cognitive decline. “It would be nice to see how these people look with traditional neuropsychological tests,” said Dr. Hermann.

He added that information on the impact of epilepsy on different MCI phenotypes, for example, pure memory impairment subtype; pure nonmemory subtype; and multiple domain subtype, would also be useful.

The study was supported by the AES and the Alzheimer’s Association. 

Dr. Zawar and Dr. Hermann report no relevant disclosures.

A version of this article appeared on Medscape.com.

ORLANDO — People with epilepsy are more likely to decline cognitively compared with those without epilepsy, new research suggests.

Results of the large, longitudinal study show that seizures predicted earlier conversion time from normal cognition to mild cognitive impairment (MCI) but were not associated with conversion from MCI to dementia.

“Modifiable cardiovascular risk factors such as hypertension and diabetes need to be treated more aggressively because they can impact cognition, but epilepsy is another risk factor that needs to be treated in a timely fashion because it appears to be also associated with cognitive impairment,” said study investigator Ifrah Zawar MD, assistant professor, Department of Neurology, University of Virginia in Charlottesville.

The study (abstract #2.172) was presented on December 2 at the American Epilepsy Society annual meeting.
 

An Understudied Issue

Comorbid seizures occur in up to 64% of those with dementia, and patients with dementia and epilepsy have a more aggressive disease course, faster cognitive decline, and more severe neuronal loss, Dr. Zawar told Medscape Medical News.

But the impact of seizures on the conversion of cognitively healthy to MCI and from MCI to dementia, after accounting for cardiovascular risk factors, has not been well studied.

Researchers analyzed longitudinal data of 13,726 patients, mean age about 70 years, who were cognitively healthy or had mild cognitive impairment (MCI). Participants were recruited from 39 Alzheimer’s Disease (AD) centers in the United States from 2005 to 2021. 

Investigators categorized participants into three groups: active (having had seizures in the past year and/or requiring active treatment; N = 118), resolved (not on any treatment for the past year and not having seizures; N = 226), and no seizures (never having had seizures; N = 13,382).

The primary outcome was conversion from cognitively healthy to MCI/dementia and from MCI to dementia in those with and without active epilepsy and resolved epilepsy.

Factors associated with conversion from cognitively healthy to MCI among those with current or active epilepsy included older age (P <.001 for ages 60-80 years and P =.002 for age 80 years or older vs younger than 60 years), male sex (P <.001), lower education (P <.001), hypertension (P <.001), and diabetes (P <.001).

The hazard ratio (HR) for earlier conversion from healthy to worse cognition among those with active epilepsy was 1.76 (95% CI, 1.38-2.24; P <.001), even after accounting for risk factors.

Kaplan-Meier curves showed that the median time to convert from healthy cognition to MCI among people with active epilepsy was about 5 years compared with about 9 years for those with resolved epilepsy and 10.5 years for those without epilepsy.

The story was similar for faster conversion from MCI to dementia. Compared with having no epilepsy, the HR for faster conversion for active epilepsy was 1.44 (95% CI, 1.20-1.73; P <.001).

In addition, the median time to conversion from MCI to dementia was about 3 years for those with active epilepsy compared with about 5 years for those with resolved epilepsy and about 5 years for those without epilepsy.

“It’s important for physicians to understand that uncontrolled epilepsy or active epilepsy is going to impact patients’ cognition adversely, which in itself is associated with increased comorbidity and mortality,” said Dr. Zawar.

The mechanism driving the acceleration to worse cognition in people with epilepsy is “complicated and involves a multitude of factors,” she said.

The researchers did not specifically investigate how use of antiseizure medications correlated with cognitive outcomes, but Dr. Zawar believes that “epilepsy in itself impacts cognition.”

The researchers also didn’t have EEG data for study participants who were recruited from Alzheimer’s disease centers where EEGs aren’t routinely carried out, so such data for many patients may not necessarily exist, said Dr. Zawar.
 

Important Research

Commenting for this news organization, Bruce Hermann, PhD, professor emeritus, Department of Neurology, University of Wisconsin School of Medicine and Public Health,  said that the study is important because of the, “tremendous interest and concern about aging with epilepsy.”

“We want to know how people with chronic epilepsy age cognitively and what’s the cognitive course of those who have late onset epilepsy, particularly those with unknown etiology,” he added. 

Dr. Hermann noted that much of the research in this area has been relatively small and single-center investigations. 

“These larger-scale investigations from outside the epilepsy community are so important because they have data on large numbers of subjects, they have cognitive data, and follow-ups over long periods of time, and they’re providing some really novel information,” Dr. Hermann said. 

He added that terms used in the dementia world such as MCI and frank dementia are somewhat foreign to epileptologists. In addition, interventions to delay, treat, or prevent cognitive decline such as exercise, diet, social activity, and mental stimulation that are regularly discussed by dementia experts are underrepresented in the epilepsy world.

“The things they talk about in memory clinics in the aging world almost routinely have not penetrated to the epilepsy clinics for aging individuals and for the epilepsy community in general.”

The study used the Montreal Cognitive Assessment to identify cognitive decline. “It would be nice to see how these people look with traditional neuropsychological tests,” said Dr. Hermann.

He added that information on the impact of epilepsy on different MCI phenotypes, for example, pure memory impairment subtype; pure nonmemory subtype; and multiple domain subtype, would also be useful.

The study was supported by the AES and the Alzheimer’s Association. 

Dr. Zawar and Dr. Hermann report no relevant disclosures.

A version of this article appeared on Medscape.com.

ORLANDO — People with epilepsy are more likely to decline cognitively compared with those without epilepsy, new research suggests.

Results of the large, longitudinal study show that seizures predicted earlier conversion time from normal cognition to mild cognitive impairment (MCI) but were not associated with conversion from MCI to dementia.

“Modifiable cardiovascular risk factors such as hypertension and diabetes need to be treated more aggressively because they can impact cognition, but epilepsy is another risk factor that needs to be treated in a timely fashion because it appears to be also associated with cognitive impairment,” said study investigator Ifrah Zawar MD, assistant professor, Department of Neurology, University of Virginia in Charlottesville.

The study (abstract #2.172) was presented on December 2 at the American Epilepsy Society annual meeting.
 

An Understudied Issue

Comorbid seizures occur in up to 64% of those with dementia, and patients with dementia and epilepsy have a more aggressive disease course, faster cognitive decline, and more severe neuronal loss, Dr. Zawar told Medscape Medical News.

But the impact of seizures on the conversion of cognitively healthy to MCI and from MCI to dementia, after accounting for cardiovascular risk factors, has not been well studied.

Researchers analyzed longitudinal data of 13,726 patients, mean age about 70 years, who were cognitively healthy or had mild cognitive impairment (MCI). Participants were recruited from 39 Alzheimer’s Disease (AD) centers in the United States from 2005 to 2021. 

Investigators categorized participants into three groups: active (having had seizures in the past year and/or requiring active treatment; N = 118), resolved (not on any treatment for the past year and not having seizures; N = 226), and no seizures (never having had seizures; N = 13,382).

The primary outcome was conversion from cognitively healthy to MCI/dementia and from MCI to dementia in those with and without active epilepsy and resolved epilepsy.

Factors associated with conversion from cognitively healthy to MCI among those with current or active epilepsy included older age (P <.001 for ages 60-80 years and P =.002 for age 80 years or older vs younger than 60 years), male sex (P <.001), lower education (P <.001), hypertension (P <.001), and diabetes (P <.001).

The hazard ratio (HR) for earlier conversion from healthy to worse cognition among those with active epilepsy was 1.76 (95% CI, 1.38-2.24; P <.001), even after accounting for risk factors.

Kaplan-Meier curves showed that the median time to convert from healthy cognition to MCI among people with active epilepsy was about 5 years compared with about 9 years for those with resolved epilepsy and 10.5 years for those without epilepsy.

The story was similar for faster conversion from MCI to dementia. Compared with having no epilepsy, the HR for faster conversion for active epilepsy was 1.44 (95% CI, 1.20-1.73; P <.001).

In addition, the median time to conversion from MCI to dementia was about 3 years for those with active epilepsy compared with about 5 years for those with resolved epilepsy and about 5 years for those without epilepsy.

“It’s important for physicians to understand that uncontrolled epilepsy or active epilepsy is going to impact patients’ cognition adversely, which in itself is associated with increased comorbidity and mortality,” said Dr. Zawar.

The mechanism driving the acceleration to worse cognition in people with epilepsy is “complicated and involves a multitude of factors,” she said.

The researchers did not specifically investigate how use of antiseizure medications correlated with cognitive outcomes, but Dr. Zawar believes that “epilepsy in itself impacts cognition.”

The researchers also didn’t have EEG data for study participants who were recruited from Alzheimer’s disease centers where EEGs aren’t routinely carried out, so such data for many patients may not necessarily exist, said Dr. Zawar.
 

Important Research

Commenting for this news organization, Bruce Hermann, PhD, professor emeritus, Department of Neurology, University of Wisconsin School of Medicine and Public Health,  said that the study is important because of the, “tremendous interest and concern about aging with epilepsy.”

“We want to know how people with chronic epilepsy age cognitively and what’s the cognitive course of those who have late onset epilepsy, particularly those with unknown etiology,” he added. 

Dr. Hermann noted that much of the research in this area has been relatively small and single-center investigations. 

“These larger-scale investigations from outside the epilepsy community are so important because they have data on large numbers of subjects, they have cognitive data, and follow-ups over long periods of time, and they’re providing some really novel information,” Dr. Hermann said. 

He added that terms used in the dementia world such as MCI and frank dementia are somewhat foreign to epileptologists. In addition, interventions to delay, treat, or prevent cognitive decline such as exercise, diet, social activity, and mental stimulation that are regularly discussed by dementia experts are underrepresented in the epilepsy world.

“The things they talk about in memory clinics in the aging world almost routinely have not penetrated to the epilepsy clinics for aging individuals and for the epilepsy community in general.”

The study used the Montreal Cognitive Assessment to identify cognitive decline. “It would be nice to see how these people look with traditional neuropsychological tests,” said Dr. Hermann.

He added that information on the impact of epilepsy on different MCI phenotypes, for example, pure memory impairment subtype; pure nonmemory subtype; and multiple domain subtype, would also be useful.

The study was supported by the AES and the Alzheimer’s Association. 

Dr. Zawar and Dr. Hermann report no relevant disclosures.

A version of this article appeared on Medscape.com.

ORLANDO — Combining an enzyme-inducing antiseizure medication with a direct-acting oral anticoagulant (DOAC) does not significantly increase the risk of thromboembolic events in patients with epilepsy, preliminary results of a new study show.

These new data are important, “particularly when we’re talking about a more global perspective, given the vital role of enzyme-inducing antiseizure medications in epilepsy care across many middle- and low-income countries where they may be the only readily available treatment options,” said study investigator Emily K. Acton, PhD candidate in epidemiology and a medical student, University of Pennsylvania Perelman School of Medicine, Philadelphia, and University of Illinois College of Medicine, Chicago. 

The findings also suggest that use of enzyme-inducing antiseizure medication with DOACs may be associated with a reduction in major bleeding events, although Ms. Acton stressed this requires more research.

The findings were presented at the American Epilepsy Society annual meeting.
 

Important Implications

Enzyme-inducing antiseizure medications may induce key drug metabolizing enzymes that result in wide-ranging interactions, Ms. Acton told this news organization. “But, in many cases, the clinical significance of these pharmacokinetic interactions is not completely understood.”

This has important implications for managing anticoagulation, said Ms. Acton. “The ease of DOAC use, and growing evidence of the drugs’ safety and efficacy compared to vitamin K antagonists, has led to widespread shifts in clinical practice towards DOACs.”

Due to the relative novelty of DOACs, their interaction profiles have been less than complete, she explained. Evidence that enzyme-inducing antiseizure medications may reduce absorption and accelerate metabolism of DOACs, potentially lowering DOAC levels and elevating thromboembolism risk, comes mainly from in vitro and animal studies.

“Research in humans is lacking and complicated in interpretation by inconsistent findings and methodological limitations,” she said.

The investigators wanted to address the “clinical uncertainty” surrounding the real-world relevance of enzyme-inducing antiseizure medications and DOAC interactions but conducting a randomized trial “would be neither feasible nor ethical,” said Ms. Acton. 

Using healthcare claims data from October 2010 to September 2021, the researchers conducted an active comparator, new-user cohort study among a nationally representative sample of adults with epilepsy who had been co-prescribed these drugs. 

They compared thromboembolic and major bleeding event rates between exposure to DOACs with enzyme-inducing antiseizure medications vs exposure to DOACs with non-enzyme inducing antiseizure medications.

Enzyme-inducing antiseizure medications included in the study were carbamazepine, oxcarbazepine, phenobarbital, phenytoin, primidone, and topiramate. Non-enzyme-inducing antiseizure medications included gabapentin, lacosamide, lamotrigine, levetiracetam, and pregabalin.

The researchers used data-adaptive high-dimensional propensity score matching to control for “hundreds and hundreds” of observed confounders, and proxies for unobserved confounders, said Ms. Acton. They identified outcomes based on validated diagnostic coding algorithms for thromboembolic and major bleeding events and estimated adjusted hazard ratios (aHRs) using Cox proportional hazard models with robust variance estimators to account for clustering within matched pairs.
 

Reduced Risk of Major Bleeding 

Outcomes were analyzed in three separate cohorts. These included patients on DOACs for any indication (indication-agnostic); those on DOACs for atrial fibrillation (AF); and those taking DOACs for deep vein thrombus/pulmonary embolism (DVT/PE).

In the indication-agnostic analysis, the investigators examined thromboembolic events among 5989 episodes in patients taking both DOACs and enzyme-inducing antiseizure medications, compared witha reference group of 14,671 episodes in patients taking DOACs and non-enzyme-inducing antiseizure medications.

The reference group was generally older and had a greater prevalence of a number of major comorbidities compared with the exposed group, noted Ms. Acton.

For the indication-agnostic analysis, the aHR was 1.11 (95% CI 0.89-1.39). Results were similar for the AF indication (aHR 1.10; 95% CI 0.82-1.46) and for the DVT/PE indication (aHR 1.11; 95% CI 0.81-1.51).

“This research provides large-scale, real-world evidence enzyme-inducing antiseizure medication use alongside DOACs does not significantly elevate risk of thromboembolic events among a nationally representative epilepsy population,” said Ms. Acton.

However, “it’s always important to consider risk factors for thromboembolic and bleeding events at the level of the individual patient,” she added.

With respect to major bleeding events, there was a slightly reduced risk in the exposed group, specifically in the analysis of subjects with atrial fibrillation, where the aHR was 0.63 (95% CI 0.44-0.89).

“A potential explanation may be pharmacokinetic interaction with enzyme-inducing antiseizure medications occurring to a degree that lowers DOAC levels without necessarily negating therapeutic effects,” said Ms. Acton.

However, she cautioned that more research is needed.

As for the differential potency among the various enzyme-inducing antiseizure medications studied, Ms. Acton said results from a secondary analysis in the atrial fibrillation assessment that removed the potentially less potent enzyme inducers, oxcarbazepine and topiramate, didn’t significantly change the study results.
 

‘Really Great News’

Commenting on the findings for this news organization, epilepsy expert Daniel M. Goldenholz, MD, PhD, assistant professor of Neurology, Harvard Beth Israel Deaconess Medical Center, Boston, Massachusetts, said the finding of no meaningful difference between DOAC plus enzyme-inducing medications vs DOACs plus non-enzyme-inducing medications is encouraging.

“This study asks a very important question at the population level and appropriately tries to control for present and hidden factors using a propensity matching approach,” he said.

The fact that the data support no difference in terms of thromboembolic events “is really great news” for patients taking an enzyme-inducing antiseizure medication who need to use a DOAC, he said.

While some patients or clinicians might consider transitioning off an enzyme-inducing antiseizure medication, this can lead to new side effects and potentially higher drug costs. “Knowing that a transition may be unnecessary is exciting,” said Dr. Goldenholz.

However, he’s concerned the 1.5-year observation period may not be long enough to see a true effect of these drug combinations.

He also noted that due to the “theoretical higher risk,” patients combining DOACs with enzyme-inducing drugs typically need extra monitoring, which may be less practical outside the US. This suggests “the result may not necessarily generalize outside high-income countries,” he said.

Dr. Goldenholz emphasized that the data are preliminary. “As always, I look forward to a full peer-reviewed study before forming final conclusions.”

The study was supported by the US Department of Health and Human Services’ National Institute of Neurological Disorders and Stroke.

Ms. Acton and Dr. Goldenholz report no relevant financial relationships.

A version of this article appeared on Medscape.com.

ORLANDO — Combining an enzyme-inducing antiseizure medication with a direct-acting oral anticoagulant (DOAC) does not significantly increase the risk of thromboembolic events in patients with epilepsy, preliminary results of a new study show.

These new data are important, “particularly when we’re talking about a more global perspective, given the vital role of enzyme-inducing antiseizure medications in epilepsy care across many middle- and low-income countries where they may be the only readily available treatment options,” said study investigator Emily K. Acton, PhD candidate in epidemiology and a medical student, University of Pennsylvania Perelman School of Medicine, Philadelphia, and University of Illinois College of Medicine, Chicago. 

The findings also suggest that use of enzyme-inducing antiseizure medication with DOACs may be associated with a reduction in major bleeding events, although Ms. Acton stressed this requires more research.

The findings were presented at the American Epilepsy Society annual meeting.
 

Important Implications

Enzyme-inducing antiseizure medications may induce key drug metabolizing enzymes that result in wide-ranging interactions, Ms. Acton told this news organization. “But, in many cases, the clinical significance of these pharmacokinetic interactions is not completely understood.”

This has important implications for managing anticoagulation, said Ms. Acton. “The ease of DOAC use, and growing evidence of the drugs’ safety and efficacy compared to vitamin K antagonists, has led to widespread shifts in clinical practice towards DOACs.”

Due to the relative novelty of DOACs, their interaction profiles have been less than complete, she explained. Evidence that enzyme-inducing antiseizure medications may reduce absorption and accelerate metabolism of DOACs, potentially lowering DOAC levels and elevating thromboembolism risk, comes mainly from in vitro and animal studies.

“Research in humans is lacking and complicated in interpretation by inconsistent findings and methodological limitations,” she said.

The investigators wanted to address the “clinical uncertainty” surrounding the real-world relevance of enzyme-inducing antiseizure medications and DOAC interactions but conducting a randomized trial “would be neither feasible nor ethical,” said Ms. Acton. 

Using healthcare claims data from October 2010 to September 2021, the researchers conducted an active comparator, new-user cohort study among a nationally representative sample of adults with epilepsy who had been co-prescribed these drugs. 

They compared thromboembolic and major bleeding event rates between exposure to DOACs with enzyme-inducing antiseizure medications vs exposure to DOACs with non-enzyme inducing antiseizure medications.

Enzyme-inducing antiseizure medications included in the study were carbamazepine, oxcarbazepine, phenobarbital, phenytoin, primidone, and topiramate. Non-enzyme-inducing antiseizure medications included gabapentin, lacosamide, lamotrigine, levetiracetam, and pregabalin.

The researchers used data-adaptive high-dimensional propensity score matching to control for “hundreds and hundreds” of observed confounders, and proxies for unobserved confounders, said Ms. Acton. They identified outcomes based on validated diagnostic coding algorithms for thromboembolic and major bleeding events and estimated adjusted hazard ratios (aHRs) using Cox proportional hazard models with robust variance estimators to account for clustering within matched pairs.
 

Reduced Risk of Major Bleeding 

Outcomes were analyzed in three separate cohorts. These included patients on DOACs for any indication (indication-agnostic); those on DOACs for atrial fibrillation (AF); and those taking DOACs for deep vein thrombus/pulmonary embolism (DVT/PE).

In the indication-agnostic analysis, the investigators examined thromboembolic events among 5989 episodes in patients taking both DOACs and enzyme-inducing antiseizure medications, compared witha reference group of 14,671 episodes in patients taking DOACs and non-enzyme-inducing antiseizure medications.

The reference group was generally older and had a greater prevalence of a number of major comorbidities compared with the exposed group, noted Ms. Acton.

For the indication-agnostic analysis, the aHR was 1.11 (95% CI 0.89-1.39). Results were similar for the AF indication (aHR 1.10; 95% CI 0.82-1.46) and for the DVT/PE indication (aHR 1.11; 95% CI 0.81-1.51).

“This research provides large-scale, real-world evidence enzyme-inducing antiseizure medication use alongside DOACs does not significantly elevate risk of thromboembolic events among a nationally representative epilepsy population,” said Ms. Acton.

However, “it’s always important to consider risk factors for thromboembolic and bleeding events at the level of the individual patient,” she added.

With respect to major bleeding events, there was a slightly reduced risk in the exposed group, specifically in the analysis of subjects with atrial fibrillation, where the aHR was 0.63 (95% CI 0.44-0.89).

“A potential explanation may be pharmacokinetic interaction with enzyme-inducing antiseizure medications occurring to a degree that lowers DOAC levels without necessarily negating therapeutic effects,” said Ms. Acton.

However, she cautioned that more research is needed.

As for the differential potency among the various enzyme-inducing antiseizure medications studied, Ms. Acton said results from a secondary analysis in the atrial fibrillation assessment that removed the potentially less potent enzyme inducers, oxcarbazepine and topiramate, didn’t significantly change the study results.
 

‘Really Great News’

Commenting on the findings for this news organization, epilepsy expert Daniel M. Goldenholz, MD, PhD, assistant professor of Neurology, Harvard Beth Israel Deaconess Medical Center, Boston, Massachusetts, said the finding of no meaningful difference between DOAC plus enzyme-inducing medications vs DOACs plus non-enzyme-inducing medications is encouraging.

“This study asks a very important question at the population level and appropriately tries to control for present and hidden factors using a propensity matching approach,” he said.

The fact that the data support no difference in terms of thromboembolic events “is really great news” for patients taking an enzyme-inducing antiseizure medication who need to use a DOAC, he said.

While some patients or clinicians might consider transitioning off an enzyme-inducing antiseizure medication, this can lead to new side effects and potentially higher drug costs. “Knowing that a transition may be unnecessary is exciting,” said Dr. Goldenholz.

However, he’s concerned the 1.5-year observation period may not be long enough to see a true effect of these drug combinations.

He also noted that due to the “theoretical higher risk,” patients combining DOACs with enzyme-inducing drugs typically need extra monitoring, which may be less practical outside the US. This suggests “the result may not necessarily generalize outside high-income countries,” he said.

Dr. Goldenholz emphasized that the data are preliminary. “As always, I look forward to a full peer-reviewed study before forming final conclusions.”

The study was supported by the US Department of Health and Human Services’ National Institute of Neurological Disorders and Stroke.

Ms. Acton and Dr. Goldenholz report no relevant financial relationships.

A version of this article appeared on Medscape.com.

ORLANDO — Combining an enzyme-inducing antiseizure medication with a direct-acting oral anticoagulant (DOAC) does not significantly increase the risk of thromboembolic events in patients with epilepsy, preliminary results of a new study show.

These new data are important, “particularly when we’re talking about a more global perspective, given the vital role of enzyme-inducing antiseizure medications in epilepsy care across many middle- and low-income countries where they may be the only readily available treatment options,” said study investigator Emily K. Acton, PhD candidate in epidemiology and a medical student, University of Pennsylvania Perelman School of Medicine, Philadelphia, and University of Illinois College of Medicine, Chicago. 

The findings also suggest that use of enzyme-inducing antiseizure medication with DOACs may be associated with a reduction in major bleeding events, although Ms. Acton stressed this requires more research.

The findings were presented at the American Epilepsy Society annual meeting.
 

Important Implications

Enzyme-inducing antiseizure medications may induce key drug metabolizing enzymes that result in wide-ranging interactions, Ms. Acton told this news organization. “But, in many cases, the clinical significance of these pharmacokinetic interactions is not completely understood.”

This has important implications for managing anticoagulation, said Ms. Acton. “The ease of DOAC use, and growing evidence of the drugs’ safety and efficacy compared to vitamin K antagonists, has led to widespread shifts in clinical practice towards DOACs.”

Due to the relative novelty of DOACs, their interaction profiles have been less than complete, she explained. Evidence that enzyme-inducing antiseizure medications may reduce absorption and accelerate metabolism of DOACs, potentially lowering DOAC levels and elevating thromboembolism risk, comes mainly from in vitro and animal studies.

“Research in humans is lacking and complicated in interpretation by inconsistent findings and methodological limitations,” she said.

The investigators wanted to address the “clinical uncertainty” surrounding the real-world relevance of enzyme-inducing antiseizure medications and DOAC interactions but conducting a randomized trial “would be neither feasible nor ethical,” said Ms. Acton. 

Using healthcare claims data from October 2010 to September 2021, the researchers conducted an active comparator, new-user cohort study among a nationally representative sample of adults with epilepsy who had been co-prescribed these drugs. 

They compared thromboembolic and major bleeding event rates between exposure to DOACs with enzyme-inducing antiseizure medications vs exposure to DOACs with non-enzyme inducing antiseizure medications.

Enzyme-inducing antiseizure medications included in the study were carbamazepine, oxcarbazepine, phenobarbital, phenytoin, primidone, and topiramate. Non-enzyme-inducing antiseizure medications included gabapentin, lacosamide, lamotrigine, levetiracetam, and pregabalin.

The researchers used data-adaptive high-dimensional propensity score matching to control for “hundreds and hundreds” of observed confounders, and proxies for unobserved confounders, said Ms. Acton. They identified outcomes based on validated diagnostic coding algorithms for thromboembolic and major bleeding events and estimated adjusted hazard ratios (aHRs) using Cox proportional hazard models with robust variance estimators to account for clustering within matched pairs.
 

Reduced Risk of Major Bleeding 

Outcomes were analyzed in three separate cohorts. These included patients on DOACs for any indication (indication-agnostic); those on DOACs for atrial fibrillation (AF); and those taking DOACs for deep vein thrombus/pulmonary embolism (DVT/PE).

In the indication-agnostic analysis, the investigators examined thromboembolic events among 5989 episodes in patients taking both DOACs and enzyme-inducing antiseizure medications, compared witha reference group of 14,671 episodes in patients taking DOACs and non-enzyme-inducing antiseizure medications.

The reference group was generally older and had a greater prevalence of a number of major comorbidities compared with the exposed group, noted Ms. Acton.

For the indication-agnostic analysis, the aHR was 1.11 (95% CI 0.89-1.39). Results were similar for the AF indication (aHR 1.10; 95% CI 0.82-1.46) and for the DVT/PE indication (aHR 1.11; 95% CI 0.81-1.51).

“This research provides large-scale, real-world evidence enzyme-inducing antiseizure medication use alongside DOACs does not significantly elevate risk of thromboembolic events among a nationally representative epilepsy population,” said Ms. Acton.

However, “it’s always important to consider risk factors for thromboembolic and bleeding events at the level of the individual patient,” she added.

With respect to major bleeding events, there was a slightly reduced risk in the exposed group, specifically in the analysis of subjects with atrial fibrillation, where the aHR was 0.63 (95% CI 0.44-0.89).

“A potential explanation may be pharmacokinetic interaction with enzyme-inducing antiseizure medications occurring to a degree that lowers DOAC levels without necessarily negating therapeutic effects,” said Ms. Acton.

However, she cautioned that more research is needed.

As for the differential potency among the various enzyme-inducing antiseizure medications studied, Ms. Acton said results from a secondary analysis in the atrial fibrillation assessment that removed the potentially less potent enzyme inducers, oxcarbazepine and topiramate, didn’t significantly change the study results.
 

‘Really Great News’

Commenting on the findings for this news organization, epilepsy expert Daniel M. Goldenholz, MD, PhD, assistant professor of Neurology, Harvard Beth Israel Deaconess Medical Center, Boston, Massachusetts, said the finding of no meaningful difference between DOAC plus enzyme-inducing medications vs DOACs plus non-enzyme-inducing medications is encouraging.

“This study asks a very important question at the population level and appropriately tries to control for present and hidden factors using a propensity matching approach,” he said.

The fact that the data support no difference in terms of thromboembolic events “is really great news” for patients taking an enzyme-inducing antiseizure medication who need to use a DOAC, he said.

While some patients or clinicians might consider transitioning off an enzyme-inducing antiseizure medication, this can lead to new side effects and potentially higher drug costs. “Knowing that a transition may be unnecessary is exciting,” said Dr. Goldenholz.

However, he’s concerned the 1.5-year observation period may not be long enough to see a true effect of these drug combinations.

He also noted that due to the “theoretical higher risk,” patients combining DOACs with enzyme-inducing drugs typically need extra monitoring, which may be less practical outside the US. This suggests “the result may not necessarily generalize outside high-income countries,” he said.

Dr. Goldenholz emphasized that the data are preliminary. “As always, I look forward to a full peer-reviewed study before forming final conclusions.”

The study was supported by the US Department of Health and Human Services’ National Institute of Neurological Disorders and Stroke.

Ms. Acton and Dr. Goldenholz report no relevant financial relationships.

A version of this article appeared on Medscape.com.

The mechanisms underlying poststroke depression (PSD), a common and debilitating complication of stroke, are unclear. Is it neurobiological, psychosocial, or both?

Two studies offer new insight into this question. In the first, investigators systematically reviewed studies comparing stroke and non-stroke participants with depression and found the groups were similar in most dimensions of depressive symptoms. But surprisingly, anhedonia was less severe in patients with PSD compared with non-stroke controls, and those with PSD also showed greater emotional dysregulation.

“Our findings support previous recommendations that clinicians should adapt the provision of psychological support to the specific needs and difficulties of stroke survivors,” said lead author Joshua Blake, DClinPsy, lecturer in clinical psychology, University of East Anglia, Norwich, United Kingdom.

The study was published online in Neuropsychology Review

A second study used a machine learning algorithm to analyze blood samples from adults who had suffered a stroke, determining whether plasma protein data could predict mood and identifying potential proteins associated with mood in these patients.

“We can now look at a stroke survivor’s blood and predict their mood,” senior author Marion Buckwalter, MD, PhD, professor of neurology and neurosurgery at Stanford Medicine, California, said in a news release. “This means there is a genuine association between what’s happening in the blood and what’s happening with a person’s mood. It also means that, down the road, we may be able to develop new treatments for PSD.”

The study was published in November 2023 in Brain, Behavior, and Immunity.
 

‘Surprising’ Findings

“There has long been uncertainty over whether PSD might differ in its causes, phenomenology, and treatability, due to the presence of brain injury, related biological changes, and the psychosocial context unique to this population,” Dr. Blake said. “We felt that understanding symptomatologic similarities and differences would constructively contribute to this debate.”

The researchers reviewed 12 papers that sampled both stroke and non-stroke participants. “We compared profiles of depression symptoms, correlation strengths of individual depression symptoms with general depression, and latent item severity,” Dr. Blake reported.

They extracted 38 symptoms from five standardized depression tools and then organized the symptoms into nine dimensions.

They found mostly nonsignificant differences between patients with PSD and non-stroke controls in most dimensions, including negative affect, negative cognitions, somatic features, anxiety/worry, and suicidal ideation. Those with PSD more frequently had cognitive impairment, and “work inhibition” was more common in PSD.

But the most striking finding was greater severity/prevalence of emotional dysregulation in PSD vs non-stroke depression and also less anhedonia.

Dr. Blake acknowledged being “surprised.”

One possible explanation is that stroke recovery “appears to be a highly emotional journey, with extreme findings of both positive and negative emotions reported by survivors as they psychologically adjust,” which might be protective against anhedonia, he suggested.

Moreover, neurologically driven emotional dysregulation “may similarly reduce experiences of anhedonia.”

However, there was a “considerable risk of bias in many of the included studies, meaning it’s important that these findings are experimentally confirmed before stronger conclusions about phenomenological differences can be drawn,” he cautioned.
 

Common, Undertreated

Dr. Buckwalter said her team was motivated to conduct the research because PSD is among the top problems reported by chronic stroke patients, and for most, it is not adequately treated.

However, “despite the high prevalence of PSD, it is very poorly studied in the chronic time period.” In particular, PSD isn’t “well understood at a molecular level.”

She added that inflammation is a “promising candidate” as a mechanism, since neuroinflammation occurs in the stroke scar for decades, and chronic peripheral inflammation can produce neuroinflammation. Aberrant immune activation has also been implicated in major depression without stroke. But large studies with broad panels of plasma biomarkers are lacking in PSD.

To address this gap, the researchers used a proteomic approach. They recruited 85 chronic stroke patients (mean age, 65 years [interquartile range, 55-71], 41.2% female, 65.9% White, 17.6% Asian, and 0% Black) from the Stanford Stroke Recovery Program. Participants were between 5 months and 9 years after an ischemic stroke.

They analyzed a comprehensive panel of 1196 proteins in plasma samples, applying a machine learning algorithm to see whether the plasma protein levels “could be used to predict mood scores, using either the proteomics data alone or adding age and time since stroke.” The proteomics data were then incorporated into multivariable regression models, along with relevant clinical features, to ascertain the model’s predictive ability.

Mood was assessed using the Stroke Impact Scale mood questionnaire, with participants’ mood dichotomized into better mood (> 63) or worse mood (≤ 63).
 

‘Beautiful Mechanistic Model’

Machine learning verified a relationship between plasma proteomic data and mood, with the most accurate prediction occurring when the researchers added age and time since the stroke to the analysis.

Independent univariate analyses identified 202 proteins that were most highly correlated with mood in PSD. These were then organized into functional groups, including immune proteins, integrins, growth factors, synaptic function proteins, serotonin activity-related proteins, and cell death and stress-related functional groupings.

Although no single protein could predict depression, significant changes in levels of several proteins were found in PSD patients. A high proportion (45%) were proteins previously implicated in major depression, “likely providing a link to the underlying mechanisms of chronic PSD,” the authors stated.

Moreover, 80% of correlated immune proteins were higher in the plasma of people with worse mood, and several immune proteins known to have anti-inflammatory effects were reduced in those with worse mood.

And several pro-inflammatory cytokines were implicated. For example, interleukin 6, which has been extensively studied as a potential plasma marker of major depression in non-stroke cohorts, was significantly elevated in patients with worse mood after stroke (P = .0325), «implicating a broadly overactive immune system in PSD.»

“We demonstrated for the first time that we can use plasma protein measurements to predict mood in people with chronic stroke,” Dr. Buckwalter summarized. “This means there is a biological correlate of mood but [it] doesn’t tell us causality.”

To tease out causality, the researchers used their own data, as well as information from a literature review of previous studies, to assemble a model of how the immune response following a stroke could change both serotonin and brain plasticity.

“We used the most highly correlated proteins to construct a beautiful mechanistic model of how poststroke depression may work and how it may relate to mechanisms in major depression,” Dr. Buckwalter said.

The model “posits an increased inflammatory response that leads to decreased tryptophan, serotonin, and less synaptic function, all of which contribute to symptoms of depression.”

Currently, selective serotonin reuptake inhibitors represent the “best treatment” for people with PSD, but “unfortunately they don’t work for many patients,” Dr. Buckwalter noted. The findings “provide clues as to other molecular targets that are candidates novel therapies for poststroke depression.”

Dr. Blake commented that the proteomic study “complements the work by us and others interested in understanding PSD.”

Mood disorders “must be understood in terms of the dynamic relationships between structural neurological alterations, cellular and microbiological changes, psychological processes, and the person’s interactions with their social landscape,” Dr. Blake said.
 

New Treatments on the Horizon?

Gustavo C. Medeiros, MD, assistant professor, Department of Psychiatry, of the University of Maryland School of Medicine, Baltimore, said that knowing which individuals are more likely to develop PSD “allows treatment teams to implement earlier and more intensive interventions in those who are at higher risk.”

The findings [of the proteomic study] may also “help clarify the neurobiological correlates of PSD…[which] may help the development of new treatments that target these neurobiological changes,” said Dr. Medeiros, who wasn’t involved with either study.

However, he warned, “we should interpret their results with caution due to methodological reasons, including the relatively small sample size.”

Also commenting, Bruce Ovbiagele, MD, MSc, MAS, MBA, MLS, professor of neurology, UCSF Weill Institute for Neurosciences, California, said the proteomic study has some “clear limitations,” including the lack of Black or African American patients in the cohort, which limits generalizability, “since we know that Black and African American people are disproportionately affected by stroke and have very high rates of PSD and very severe presentation.”

The study by Dr. Blake et al. “was interesting because the phenotype of depressive symptoms after stroke differs from what’s seen in the general population, and the authors figured out a way to better understand the nuances of such differences,” said Dr. Ovbiagele, who wasn’t involved with either study.

He said he was also surprised by the finding regarding anhedonia and suggested that the findings be replicated in a study directly comparing patients with PSD and patients with depression from the general population.

The study by Bidoki et al. was funded by AHA/Paul Allen Foundation, the Leducq Stroke-IMPaCT Transatlantic Network of Excellence (MSB), the Wu Tsai Neurosciences Institute (MSB), the Alfred E. Mann Foundation (NA), and an Alzheimer’s Association Research Fellowship to one of the authors. No source of funding was listed for the study by Dr. Blake et al. The authors of both studies, Dr. Medeiros and Dr. Ovbiagele, declare no relevant financial relationships.

A version of this article appeared on Medscape.com.

The mechanisms underlying poststroke depression (PSD), a common and debilitating complication of stroke, are unclear. Is it neurobiological, psychosocial, or both?

Two studies offer new insight into this question. In the first, investigators systematically reviewed studies comparing stroke and non-stroke participants with depression and found the groups were similar in most dimensions of depressive symptoms. But surprisingly, anhedonia was less severe in patients with PSD compared with non-stroke controls, and those with PSD also showed greater emotional dysregulation.

“Our findings support previous recommendations that clinicians should adapt the provision of psychological support to the specific needs and difficulties of stroke survivors,” said lead author Joshua Blake, DClinPsy, lecturer in clinical psychology, University of East Anglia, Norwich, United Kingdom.

The study was published online in Neuropsychology Review

A second study used a machine learning algorithm to analyze blood samples from adults who had suffered a stroke, determining whether plasma protein data could predict mood and identifying potential proteins associated with mood in these patients.

“We can now look at a stroke survivor’s blood and predict their mood,” senior author Marion Buckwalter, MD, PhD, professor of neurology and neurosurgery at Stanford Medicine, California, said in a news release. “This means there is a genuine association between what’s happening in the blood and what’s happening with a person’s mood. It also means that, down the road, we may be able to develop new treatments for PSD.”

The study was published in November 2023 in Brain, Behavior, and Immunity.
 

‘Surprising’ Findings

“There has long been uncertainty over whether PSD might differ in its causes, phenomenology, and treatability, due to the presence of brain injury, related biological changes, and the psychosocial context unique to this population,” Dr. Blake said. “We felt that understanding symptomatologic similarities and differences would constructively contribute to this debate.”

The researchers reviewed 12 papers that sampled both stroke and non-stroke participants. “We compared profiles of depression symptoms, correlation strengths of individual depression symptoms with general depression, and latent item severity,” Dr. Blake reported.

They extracted 38 symptoms from five standardized depression tools and then organized the symptoms into nine dimensions.

They found mostly nonsignificant differences between patients with PSD and non-stroke controls in most dimensions, including negative affect, negative cognitions, somatic features, anxiety/worry, and suicidal ideation. Those with PSD more frequently had cognitive impairment, and “work inhibition” was more common in PSD.

But the most striking finding was greater severity/prevalence of emotional dysregulation in PSD vs non-stroke depression and also less anhedonia.

Dr. Blake acknowledged being “surprised.”

One possible explanation is that stroke recovery “appears to be a highly emotional journey, with extreme findings of both positive and negative emotions reported by survivors as they psychologically adjust,” which might be protective against anhedonia, he suggested.

Moreover, neurologically driven emotional dysregulation “may similarly reduce experiences of anhedonia.”

However, there was a “considerable risk of bias in many of the included studies, meaning it’s important that these findings are experimentally confirmed before stronger conclusions about phenomenological differences can be drawn,” he cautioned.
 

Common, Undertreated

Dr. Buckwalter said her team was motivated to conduct the research because PSD is among the top problems reported by chronic stroke patients, and for most, it is not adequately treated.

However, “despite the high prevalence of PSD, it is very poorly studied in the chronic time period.” In particular, PSD isn’t “well understood at a molecular level.”

She added that inflammation is a “promising candidate” as a mechanism, since neuroinflammation occurs in the stroke scar for decades, and chronic peripheral inflammation can produce neuroinflammation. Aberrant immune activation has also been implicated in major depression without stroke. But large studies with broad panels of plasma biomarkers are lacking in PSD.

To address this gap, the researchers used a proteomic approach. They recruited 85 chronic stroke patients (mean age, 65 years [interquartile range, 55-71], 41.2% female, 65.9% White, 17.6% Asian, and 0% Black) from the Stanford Stroke Recovery Program. Participants were between 5 months and 9 years after an ischemic stroke.

They analyzed a comprehensive panel of 1196 proteins in plasma samples, applying a machine learning algorithm to see whether the plasma protein levels “could be used to predict mood scores, using either the proteomics data alone or adding age and time since stroke.” The proteomics data were then incorporated into multivariable regression models, along with relevant clinical features, to ascertain the model’s predictive ability.

Mood was assessed using the Stroke Impact Scale mood questionnaire, with participants’ mood dichotomized into better mood (> 63) or worse mood (≤ 63).
 

‘Beautiful Mechanistic Model’

Machine learning verified a relationship between plasma proteomic data and mood, with the most accurate prediction occurring when the researchers added age and time since the stroke to the analysis.

Independent univariate analyses identified 202 proteins that were most highly correlated with mood in PSD. These were then organized into functional groups, including immune proteins, integrins, growth factors, synaptic function proteins, serotonin activity-related proteins, and cell death and stress-related functional groupings.

Although no single protein could predict depression, significant changes in levels of several proteins were found in PSD patients. A high proportion (45%) were proteins previously implicated in major depression, “likely providing a link to the underlying mechanisms of chronic PSD,” the authors stated.

Moreover, 80% of correlated immune proteins were higher in the plasma of people with worse mood, and several immune proteins known to have anti-inflammatory effects were reduced in those with worse mood.

And several pro-inflammatory cytokines were implicated. For example, interleukin 6, which has been extensively studied as a potential plasma marker of major depression in non-stroke cohorts, was significantly elevated in patients with worse mood after stroke (P = .0325), «implicating a broadly overactive immune system in PSD.»

“We demonstrated for the first time that we can use plasma protein measurements to predict mood in people with chronic stroke,” Dr. Buckwalter summarized. “This means there is a biological correlate of mood but [it] doesn’t tell us causality.”

To tease out causality, the researchers used their own data, as well as information from a literature review of previous studies, to assemble a model of how the immune response following a stroke could change both serotonin and brain plasticity.

“We used the most highly correlated proteins to construct a beautiful mechanistic model of how poststroke depression may work and how it may relate to mechanisms in major depression,” Dr. Buckwalter said.

The model “posits an increased inflammatory response that leads to decreased tryptophan, serotonin, and less synaptic function, all of which contribute to symptoms of depression.”

Currently, selective serotonin reuptake inhibitors represent the “best treatment” for people with PSD, but “unfortunately they don’t work for many patients,” Dr. Buckwalter noted. The findings “provide clues as to other molecular targets that are candidates novel therapies for poststroke depression.”

Dr. Blake commented that the proteomic study “complements the work by us and others interested in understanding PSD.”

Mood disorders “must be understood in terms of the dynamic relationships between structural neurological alterations, cellular and microbiological changes, psychological processes, and the person’s interactions with their social landscape,” Dr. Blake said.
 

New Treatments on the Horizon?

Gustavo C. Medeiros, MD, assistant professor, Department of Psychiatry, of the University of Maryland School of Medicine, Baltimore, said that knowing which individuals are more likely to develop PSD “allows treatment teams to implement earlier and more intensive interventions in those who are at higher risk.”

The findings [of the proteomic study] may also “help clarify the neurobiological correlates of PSD…[which] may help the development of new treatments that target these neurobiological changes,” said Dr. Medeiros, who wasn’t involved with either study.

However, he warned, “we should interpret their results with caution due to methodological reasons, including the relatively small sample size.”

Also commenting, Bruce Ovbiagele, MD, MSc, MAS, MBA, MLS, professor of neurology, UCSF Weill Institute for Neurosciences, California, said the proteomic study has some “clear limitations,” including the lack of Black or African American patients in the cohort, which limits generalizability, “since we know that Black and African American people are disproportionately affected by stroke and have very high rates of PSD and very severe presentation.”

The study by Dr. Blake et al. “was interesting because the phenotype of depressive symptoms after stroke differs from what’s seen in the general population, and the authors figured out a way to better understand the nuances of such differences,” said Dr. Ovbiagele, who wasn’t involved with either study.

He said he was also surprised by the finding regarding anhedonia and suggested that the findings be replicated in a study directly comparing patients with PSD and patients with depression from the general population.

The study by Bidoki et al. was funded by AHA/Paul Allen Foundation, the Leducq Stroke-IMPaCT Transatlantic Network of Excellence (MSB), the Wu Tsai Neurosciences Institute (MSB), the Alfred E. Mann Foundation (NA), and an Alzheimer’s Association Research Fellowship to one of the authors. No source of funding was listed for the study by Dr. Blake et al. The authors of both studies, Dr. Medeiros and Dr. Ovbiagele, declare no relevant financial relationships.

A version of this article appeared on Medscape.com.

The mechanisms underlying poststroke depression (PSD), a common and debilitating complication of stroke, are unclear. Is it neurobiological, psychosocial, or both?

Two studies offer new insight into this question. In the first, investigators systematically reviewed studies comparing stroke and non-stroke participants with depression and found the groups were similar in most dimensions of depressive symptoms. But surprisingly, anhedonia was less severe in patients with PSD compared with non-stroke controls, and those with PSD also showed greater emotional dysregulation.

“Our findings support previous recommendations that clinicians should adapt the provision of psychological support to the specific needs and difficulties of stroke survivors,” said lead author Joshua Blake, DClinPsy, lecturer in clinical psychology, University of East Anglia, Norwich, United Kingdom.

The study was published online in Neuropsychology Review

A second study used a machine learning algorithm to analyze blood samples from adults who had suffered a stroke, determining whether plasma protein data could predict mood and identifying potential proteins associated with mood in these patients.

“We can now look at a stroke survivor’s blood and predict their mood,” senior author Marion Buckwalter, MD, PhD, professor of neurology and neurosurgery at Stanford Medicine, California, said in a news release. “This means there is a genuine association between what’s happening in the blood and what’s happening with a person’s mood. It also means that, down the road, we may be able to develop new treatments for PSD.”

The study was published in November 2023 in Brain, Behavior, and Immunity.
 

‘Surprising’ Findings

“There has long been uncertainty over whether PSD might differ in its causes, phenomenology, and treatability, due to the presence of brain injury, related biological changes, and the psychosocial context unique to this population,” Dr. Blake said. “We felt that understanding symptomatologic similarities and differences would constructively contribute to this debate.”

The researchers reviewed 12 papers that sampled both stroke and non-stroke participants. “We compared profiles of depression symptoms, correlation strengths of individual depression symptoms with general depression, and latent item severity,” Dr. Blake reported.

They extracted 38 symptoms from five standardized depression tools and then organized the symptoms into nine dimensions.

They found mostly nonsignificant differences between patients with PSD and non-stroke controls in most dimensions, including negative affect, negative cognitions, somatic features, anxiety/worry, and suicidal ideation. Those with PSD more frequently had cognitive impairment, and “work inhibition” was more common in PSD.

But the most striking finding was greater severity/prevalence of emotional dysregulation in PSD vs non-stroke depression and also less anhedonia.

Dr. Blake acknowledged being “surprised.”

One possible explanation is that stroke recovery “appears to be a highly emotional journey, with extreme findings of both positive and negative emotions reported by survivors as they psychologically adjust,” which might be protective against anhedonia, he suggested.

Moreover, neurologically driven emotional dysregulation “may similarly reduce experiences of anhedonia.”

However, there was a “considerable risk of bias in many of the included studies, meaning it’s important that these findings are experimentally confirmed before stronger conclusions about phenomenological differences can be drawn,” he cautioned.
 

Common, Undertreated

Dr. Buckwalter said her team was motivated to conduct the research because PSD is among the top problems reported by chronic stroke patients, and for most, it is not adequately treated.

However, “despite the high prevalence of PSD, it is very poorly studied in the chronic time period.” In particular, PSD isn’t “well understood at a molecular level.”

She added that inflammation is a “promising candidate” as a mechanism, since neuroinflammation occurs in the stroke scar for decades, and chronic peripheral inflammation can produce neuroinflammation. Aberrant immune activation has also been implicated in major depression without stroke. But large studies with broad panels of plasma biomarkers are lacking in PSD.

To address this gap, the researchers used a proteomic approach. They recruited 85 chronic stroke patients (mean age, 65 years [interquartile range, 55-71], 41.2% female, 65.9% White, 17.6% Asian, and 0% Black) from the Stanford Stroke Recovery Program. Participants were between 5 months and 9 years after an ischemic stroke.

They analyzed a comprehensive panel of 1196 proteins in plasma samples, applying a machine learning algorithm to see whether the plasma protein levels “could be used to predict mood scores, using either the proteomics data alone or adding age and time since stroke.” The proteomics data were then incorporated into multivariable regression models, along with relevant clinical features, to ascertain the model’s predictive ability.

Mood was assessed using the Stroke Impact Scale mood questionnaire, with participants’ mood dichotomized into better mood (> 63) or worse mood (≤ 63).
 

‘Beautiful Mechanistic Model’

Machine learning verified a relationship between plasma proteomic data and mood, with the most accurate prediction occurring when the researchers added age and time since the stroke to the analysis.

Independent univariate analyses identified 202 proteins that were most highly correlated with mood in PSD. These were then organized into functional groups, including immune proteins, integrins, growth factors, synaptic function proteins, serotonin activity-related proteins, and cell death and stress-related functional groupings.

Although no single protein could predict depression, significant changes in levels of several proteins were found in PSD patients. A high proportion (45%) were proteins previously implicated in major depression, “likely providing a link to the underlying mechanisms of chronic PSD,” the authors stated.

Moreover, 80% of correlated immune proteins were higher in the plasma of people with worse mood, and several immune proteins known to have anti-inflammatory effects were reduced in those with worse mood.

And several pro-inflammatory cytokines were implicated. For example, interleukin 6, which has been extensively studied as a potential plasma marker of major depression in non-stroke cohorts, was significantly elevated in patients with worse mood after stroke (P = .0325), «implicating a broadly overactive immune system in PSD.»

“We demonstrated for the first time that we can use plasma protein measurements to predict mood in people with chronic stroke,” Dr. Buckwalter summarized. “This means there is a biological correlate of mood but [it] doesn’t tell us causality.”

To tease out causality, the researchers used their own data, as well as information from a literature review of previous studies, to assemble a model of how the immune response following a stroke could change both serotonin and brain plasticity.

“We used the most highly correlated proteins to construct a beautiful mechanistic model of how poststroke depression may work and how it may relate to mechanisms in major depression,” Dr. Buckwalter said.

The model “posits an increased inflammatory response that leads to decreased tryptophan, serotonin, and less synaptic function, all of which contribute to symptoms of depression.”

Currently, selective serotonin reuptake inhibitors represent the “best treatment” for people with PSD, but “unfortunately they don’t work for many patients,” Dr. Buckwalter noted. The findings “provide clues as to other molecular targets that are candidates novel therapies for poststroke depression.”

Dr. Blake commented that the proteomic study “complements the work by us and others interested in understanding PSD.”

Mood disorders “must be understood in terms of the dynamic relationships between structural neurological alterations, cellular and microbiological changes, psychological processes, and the person’s interactions with their social landscape,” Dr. Blake said.
 

New Treatments on the Horizon?

Gustavo C. Medeiros, MD, assistant professor, Department of Psychiatry, of the University of Maryland School of Medicine, Baltimore, said that knowing which individuals are more likely to develop PSD “allows treatment teams to implement earlier and more intensive interventions in those who are at higher risk.”

The findings [of the proteomic study] may also “help clarify the neurobiological correlates of PSD…[which] may help the development of new treatments that target these neurobiological changes,” said Dr. Medeiros, who wasn’t involved with either study.

However, he warned, “we should interpret their results with caution due to methodological reasons, including the relatively small sample size.”

Also commenting, Bruce Ovbiagele, MD, MSc, MAS, MBA, MLS, professor of neurology, UCSF Weill Institute for Neurosciences, California, said the proteomic study has some “clear limitations,” including the lack of Black or African American patients in the cohort, which limits generalizability, “since we know that Black and African American people are disproportionately affected by stroke and have very high rates of PSD and very severe presentation.”

The study by Dr. Blake et al. “was interesting because the phenotype of depressive symptoms after stroke differs from what’s seen in the general population, and the authors figured out a way to better understand the nuances of such differences,” said Dr. Ovbiagele, who wasn’t involved with either study.

He said he was also surprised by the finding regarding anhedonia and suggested that the findings be replicated in a study directly comparing patients with PSD and patients with depression from the general population.

The study by Bidoki et al. was funded by AHA/Paul Allen Foundation, the Leducq Stroke-IMPaCT Transatlantic Network of Excellence (MSB), the Wu Tsai Neurosciences Institute (MSB), the Alfred E. Mann Foundation (NA), and an Alzheimer’s Association Research Fellowship to one of the authors. No source of funding was listed for the study by Dr. Blake et al. The authors of both studies, Dr. Medeiros and Dr. Ovbiagele, declare no relevant financial relationships.

A version of this article appeared on Medscape.com.

TOPLINE:

Attention-deficit/hyperactivity disorder (ADHD) and comorbid psychiatric disorders are associated with a twofold increased risk for schizophrenia, new research shows.

METHODOLOGY:

• Investigators analyzed the data of 211,705 people aged 5-19 years (74% male; 54% aged 5-9 years) diagnosed with ADHD during 2010-2018 from the Health Insurance Review and Assessment Service database of South Korea.
• Participants with a diagnosis of schizophrenia or psychosis anytime in the 3 years prior to ADHD diagnosis were excluded.
• Investigators split participants into two groups — a group of those diagnosed with at least one psychiatric comorbidity within a year of ADHD diagnosis and another group comprising those with ADHD and no psychiatric comorbidities.

TAKEAWAY:

• 37% (77,890) of those with ADHD had at least one comorbid psychiatric disorder.
• Participants with one psychiatric comorbidity had a 2.1-fold increased risk for a schizophrenia diagnosis than participants with no comorbidity (adjusted hazard ratio [aHR], 2.14; 95% CI, 2.05-2.23).
• Schizophrenia risk increased with each additional comorbidity. There was a fourfold increased risk for schizophrenia in study participants with three or more psychiatric comorbidities (aHR, 4.26; 95% CI, 3.90-4.65) than those with no comorbidity.
• Psychiatric comorbidities included autism spectrum disorder, which had the strongest link to increased schizophrenia risk (aHR, 2.43; 95% CI, 2.26-2.62). Other comorbidities that showed strong associations were intellectual disability (aHR, 1.83; 95% CI, 1.72-1.95), tic disorder (aHR, 1.77; 95% CI, 1.66-1.88), depression (aHR,1.68; 95% CI, 1.60-1.77), and bipolar disorder (aHR, 1.67; 95% CI, 1.53-1.83).

IN PRACTICE:

“To our knowledge, this is the first study to investigate schizophrenia risk among children and adolescents with ADHD, with a particular focus on psychiatric comorbidities,” the researchers wrote. They also noted that although patients had no psychiatric comorbidities at the time of ADHD diagnosis, the occurrence of psychiatric comorbidities was frequently observed prior to schizophrenia diagnosis. 

“These findings highlighted the significance of carefully monitoring psychiatric comorbidities in patients with ADHD to effectively mitigate the burden of schizophrenia,” they noted.

SOURCE:

Soo Min Jeon, PharmD, PhD, of Jeju National University in Jeju, South Korea, led the study, which was published online on November 30, 2023 in JAMA Network Open. 

LIMITATIONS:

Since the diagnosis of ADHD, schizophrenia, and other psychiatric comorbidities were based on diagnostic codes, the possibility of underdiagnosis or overdiagnosis cannot be ruled out. Also, some patients with ADHD chose the general health consultation (International Classification of Diseases - Z code) due to the social stigma surrounding mental health problems.

DISCLOSURES:

The study was funded by the Basic Science Research Program through the Ministry of Education and the Health Insurance Review and Assessment Service. Author disclosures can be found in the original paper.

A version of this article appeared on Medscape.com.

TOPLINE:

Attention-deficit/hyperactivity disorder (ADHD) and comorbid psychiatric disorders are associated with a twofold increased risk for schizophrenia, new research shows.

METHODOLOGY:

• Investigators analyzed the data of 211,705 people aged 5-19 years (74% male; 54% aged 5-9 years) diagnosed with ADHD during 2010-2018 from the Health Insurance Review and Assessment Service database of South Korea.
• Participants with a diagnosis of schizophrenia or psychosis anytime in the 3 years prior to ADHD diagnosis were excluded.
• Investigators split participants into two groups — a group of those diagnosed with at least one psychiatric comorbidity within a year of ADHD diagnosis and another group comprising those with ADHD and no psychiatric comorbidities.

TAKEAWAY:

• 37% (77,890) of those with ADHD had at least one comorbid psychiatric disorder.
• Participants with one psychiatric comorbidity had a 2.1-fold increased risk for a schizophrenia diagnosis than participants with no comorbidity (adjusted hazard ratio [aHR], 2.14; 95% CI, 2.05-2.23).
• Schizophrenia risk increased with each additional comorbidity. There was a fourfold increased risk for schizophrenia in study participants with three or more psychiatric comorbidities (aHR, 4.26; 95% CI, 3.90-4.65) than those with no comorbidity.
• Psychiatric comorbidities included autism spectrum disorder, which had the strongest link to increased schizophrenia risk (aHR, 2.43; 95% CI, 2.26-2.62). Other comorbidities that showed strong associations were intellectual disability (aHR, 1.83; 95% CI, 1.72-1.95), tic disorder (aHR, 1.77; 95% CI, 1.66-1.88), depression (aHR,1.68; 95% CI, 1.60-1.77), and bipolar disorder (aHR, 1.67; 95% CI, 1.53-1.83).

IN PRACTICE:

“To our knowledge, this is the first study to investigate schizophrenia risk among children and adolescents with ADHD, with a particular focus on psychiatric comorbidities,” the researchers wrote. They also noted that although patients had no psychiatric comorbidities at the time of ADHD diagnosis, the occurrence of psychiatric comorbidities was frequently observed prior to schizophrenia diagnosis. 

“These findings highlighted the significance of carefully monitoring psychiatric comorbidities in patients with ADHD to effectively mitigate the burden of schizophrenia,” they noted.

SOURCE:

Soo Min Jeon, PharmD, PhD, of Jeju National University in Jeju, South Korea, led the study, which was published online on November 30, 2023 in JAMA Network Open. 

LIMITATIONS:

Since the diagnosis of ADHD, schizophrenia, and other psychiatric comorbidities were based on diagnostic codes, the possibility of underdiagnosis or overdiagnosis cannot be ruled out. Also, some patients with ADHD chose the general health consultation (International Classification of Diseases - Z code) due to the social stigma surrounding mental health problems.

DISCLOSURES:

The study was funded by the Basic Science Research Program through the Ministry of Education and the Health Insurance Review and Assessment Service. Author disclosures can be found in the original paper.

A version of this article appeared on Medscape.com.

TOPLINE:

Attention-deficit/hyperactivity disorder (ADHD) and comorbid psychiatric disorders are associated with a twofold increased risk for schizophrenia, new research shows.

METHODOLOGY:

• Investigators analyzed the data of 211,705 people aged 5-19 years (74% male; 54% aged 5-9 years) diagnosed with ADHD during 2010-2018 from the Health Insurance Review and Assessment Service database of South Korea.
• Participants with a diagnosis of schizophrenia or psychosis anytime in the 3 years prior to ADHD diagnosis were excluded.
• Investigators split participants into two groups — a group of those diagnosed with at least one psychiatric comorbidity within a year of ADHD diagnosis and another group comprising those with ADHD and no psychiatric comorbidities.

TAKEAWAY:

• 37% (77,890) of those with ADHD had at least one comorbid psychiatric disorder.
• Participants with one psychiatric comorbidity had a 2.1-fold increased risk for a schizophrenia diagnosis than participants with no comorbidity (adjusted hazard ratio [aHR], 2.14; 95% CI, 2.05-2.23).
• Schizophrenia risk increased with each additional comorbidity. There was a fourfold increased risk for schizophrenia in study participants with three or more psychiatric comorbidities (aHR, 4.26; 95% CI, 3.90-4.65) than those with no comorbidity.
• Psychiatric comorbidities included autism spectrum disorder, which had the strongest link to increased schizophrenia risk (aHR, 2.43; 95% CI, 2.26-2.62). Other comorbidities that showed strong associations were intellectual disability (aHR, 1.83; 95% CI, 1.72-1.95), tic disorder (aHR, 1.77; 95% CI, 1.66-1.88), depression (aHR,1.68; 95% CI, 1.60-1.77), and bipolar disorder (aHR, 1.67; 95% CI, 1.53-1.83).

IN PRACTICE:

“To our knowledge, this is the first study to investigate schizophrenia risk among children and adolescents with ADHD, with a particular focus on psychiatric comorbidities,” the researchers wrote. They also noted that although patients had no psychiatric comorbidities at the time of ADHD diagnosis, the occurrence of psychiatric comorbidities was frequently observed prior to schizophrenia diagnosis. 

“These findings highlighted the significance of carefully monitoring psychiatric comorbidities in patients with ADHD to effectively mitigate the burden of schizophrenia,” they noted.

SOURCE:

Soo Min Jeon, PharmD, PhD, of Jeju National University in Jeju, South Korea, led the study, which was published online on November 30, 2023 in JAMA Network Open. 

LIMITATIONS:

Since the diagnosis of ADHD, schizophrenia, and other psychiatric comorbidities were based on diagnostic codes, the possibility of underdiagnosis or overdiagnosis cannot be ruled out. Also, some patients with ADHD chose the general health consultation (International Classification of Diseases - Z code) due to the social stigma surrounding mental health problems.

DISCLOSURES:

The study was funded by the Basic Science Research Program through the Ministry of Education and the Health Insurance Review and Assessment Service. Author disclosures can be found in the original paper.

A version of this article appeared on Medscape.com.

TOPLINE:

Regular moderate to vigorous physical activity predicts larger brain size in key regions, including gray and white matter and the hippocampus, new data suggest. 

METHODOLOGY: 

• The potential neuroprotective effects of regular physical activity on brain structure are unclear despite reported links between physical activity and reduced dementia risk. 
• To investigate, researchers analyzed MRI brain scans from 10,125 healthy adults (mean age, 53 years; 52% male) who self-reported their level of physical activity.
• Moderate to vigorous physical activities, defined as those increasing respiration and pulse rate for at least 10 continuous minutes, was modeled with brain volumes, adjusting for covariates.
• The threshold for defining physically active (vs nonactive) adults was intentionally set at 2.5 days per week, a level far lower than current guidelines.

TAKEAWAY:

• Three quarters of the cohort reported engaging in moderate to vigorous physical activity approximately 4 days per week. 
• Physically active adults tended to be younger, with a higher proportion of White individuals, and with lower rates of hypertension and type 2 diabetes. 
• After adjusting for multiple factors, increased days of moderate to vigorous activity correlated with larger normalized brain volume in multiple regions including total gray matter; white matter; hippocampus; and frontal, parietal, and occipital lobes. 

IN PRACTICE: 

“We found that even moderate levels of physical activity, such as taking fewer than 4,000 steps a day, can have a positive effect on brain health. This is much less than the often-suggested 10,000 steps, making it a more achievable goal for many people,” co-author David Merrill, MD, with Pacific Brain Health Center, Santa Monica, California, said in a statement. 

SOURCE: 

The study, with first author Cyrus A. Raji, MD, PhD, Washington University School of Medicine, St. Louis, was published online in the Journal of Alzheimer’s Disease.

LIMITATIONS: 

Participants self-reported physical activity in the past 2 weeks, which does not reflect a lifetime of activity levels. The correlation identified between physical activity and brain volumes may not be solely attributable to physical activity alone. 

DISCLOSURES: 

The study received funding from several health centers and foundations. Dr. Raji consults for Brainreader ApS, Neurevolution LLC, Apollo Health, Voxelwise Imaging Technology, and Pacific Neuroscience Foundation and is an editorial board member of the Journal of Alzheimer’s Disease but was not involved in the peer-review process.

A version of this article appeared on Medscape.com.

TOPLINE:

Regular moderate to vigorous physical activity predicts larger brain size in key regions, including gray and white matter and the hippocampus, new data suggest. 

METHODOLOGY: 

• The potential neuroprotective effects of regular physical activity on brain structure are unclear despite reported links between physical activity and reduced dementia risk. 
• To investigate, researchers analyzed MRI brain scans from 10,125 healthy adults (mean age, 53 years; 52% male) who self-reported their level of physical activity.
• Moderate to vigorous physical activities, defined as those increasing respiration and pulse rate for at least 10 continuous minutes, was modeled with brain volumes, adjusting for covariates.
• The threshold for defining physically active (vs nonactive) adults was intentionally set at 2.5 days per week, a level far lower than current guidelines.

TAKEAWAY:

• Three quarters of the cohort reported engaging in moderate to vigorous physical activity approximately 4 days per week. 
• Physically active adults tended to be younger, with a higher proportion of White individuals, and with lower rates of hypertension and type 2 diabetes. 
• After adjusting for multiple factors, increased days of moderate to vigorous activity correlated with larger normalized brain volume in multiple regions including total gray matter; white matter; hippocampus; and frontal, parietal, and occipital lobes. 

IN PRACTICE: 

“We found that even moderate levels of physical activity, such as taking fewer than 4,000 steps a day, can have a positive effect on brain health. This is much less than the often-suggested 10,000 steps, making it a more achievable goal for many people,” co-author David Merrill, MD, with Pacific Brain Health Center, Santa Monica, California, said in a statement. 

SOURCE: 

The study, with first author Cyrus A. Raji, MD, PhD, Washington University School of Medicine, St. Louis, was published online in the Journal of Alzheimer’s Disease.

LIMITATIONS: 

Participants self-reported physical activity in the past 2 weeks, which does not reflect a lifetime of activity levels. The correlation identified between physical activity and brain volumes may not be solely attributable to physical activity alone. 

DISCLOSURES: 

The study received funding from several health centers and foundations. Dr. Raji consults for Brainreader ApS, Neurevolution LLC, Apollo Health, Voxelwise Imaging Technology, and Pacific Neuroscience Foundation and is an editorial board member of the Journal of Alzheimer’s Disease but was not involved in the peer-review process.

A version of this article appeared on Medscape.com.

TOPLINE:

Regular moderate to vigorous physical activity predicts larger brain size in key regions, including gray and white matter and the hippocampus, new data suggest. 

METHODOLOGY: 

• The potential neuroprotective effects of regular physical activity on brain structure are unclear despite reported links between physical activity and reduced dementia risk. 
• To investigate, researchers analyzed MRI brain scans from 10,125 healthy adults (mean age, 53 years; 52% male) who self-reported their level of physical activity.
• Moderate to vigorous physical activities, defined as those increasing respiration and pulse rate for at least 10 continuous minutes, was modeled with brain volumes, adjusting for covariates.
• The threshold for defining physically active (vs nonactive) adults was intentionally set at 2.5 days per week, a level far lower than current guidelines.

TAKEAWAY:

• Three quarters of the cohort reported engaging in moderate to vigorous physical activity approximately 4 days per week. 
• Physically active adults tended to be younger, with a higher proportion of White individuals, and with lower rates of hypertension and type 2 diabetes. 
• After adjusting for multiple factors, increased days of moderate to vigorous activity correlated with larger normalized brain volume in multiple regions including total gray matter; white matter; hippocampus; and frontal, parietal, and occipital lobes. 

IN PRACTICE: 

“We found that even moderate levels of physical activity, such as taking fewer than 4,000 steps a day, can have a positive effect on brain health. This is much less than the often-suggested 10,000 steps, making it a more achievable goal for many people,” co-author David Merrill, MD, with Pacific Brain Health Center, Santa Monica, California, said in a statement. 

SOURCE: 

The study, with first author Cyrus A. Raji, MD, PhD, Washington University School of Medicine, St. Louis, was published online in the Journal of Alzheimer’s Disease.

LIMITATIONS: 

Participants self-reported physical activity in the past 2 weeks, which does not reflect a lifetime of activity levels. The correlation identified between physical activity and brain volumes may not be solely attributable to physical activity alone. 

DISCLOSURES: 

The study received funding from several health centers and foundations. Dr. Raji consults for Brainreader ApS, Neurevolution LLC, Apollo Health, Voxelwise Imaging Technology, and Pacific Neuroscience Foundation and is an editorial board member of the Journal of Alzheimer’s Disease but was not involved in the peer-review process.

A version of this article appeared on Medscape.com.

Selecting a treatment plan to deal with acute migraine attacks can be like putting together a toolkit of possible therapies, individualized for each patient, one expert said.

The toolkit should comprise reliable treatments that patients know are going to work and that act quickly, allowing them to get back to functioning normally in their daily lives, said Jessica Ailani, MD, during a talk at the 17th European Headache Congress held recently in Barcelona, Spain. 

“Everyone with migraine needs acute treatment,” Dr. Ailani, who is a clinical professor of neurology at MedStar Georgetown University Hospital and director of the Georgetown Headache Center, Washington, DC, noted. “Sometimes we can reduce acute treatment with preventative agents, but some disability will remain, so we have to focus on good acute treatment, and this becomes more complex if a person has a lot of comorbidities, which is common in older patients.” 

In selecting suitable treatments for migraine, consideration has to be given to the patient profile, any other conditions they have, speed of onset of the migraine attack, length of the attack, associated symptoms, and side effects of the medications, she said. 
 

A Complex Case

As an example, Dr. Ailani described the process she used to treat one of her patients who had frequent severe migraines and other issues causing difficult decisions when selecting medications — a woman in her late 60s with several other comorbidities.

“This is the kind of case I see on a daily basis and which keeps me up at night,” she said. “Many times in clinical practice, we see complex cases like this, and through the course of a year, we may try every treatment option we have in a patient like this.”

On the first presentation, the patient had a chronic migraine with severe headaches every day. She had a history of previous cervical discectomy with fusion surgery; uncontrolled hypertension, for which she was taking an angiotensin blocker; high cholesterol, for which she was taking a statin; and diabetes with an A1c of 8. She did not smoke or drink alcohol, exercised moderately, and her body mass index was in a good range. 

“Before a patient ever sees a doctor for their migraine, they will have already tried a lot of different things. Most people are already using NSAIDs and acetaminophen, the most commonly used treatments for acute migraine,” Dr. Ailani explains.

Her patient was taking a triptan and the barbiturate, butalbital. Dr. Ailani notes that the triptan is very effective, but in the United States, they are not available over the counter, and the patient is only allowed nine doses per month on her insurance, so she was supplementing with butalbital. 

Over the course of a year, Dr. Ailani got her off the butalbital and started her on onabotulinum toxin A for migraine prevention, which reduced her headache days to about 15 per month (8 severe). She then added the anti-calcitonin gene-related peptide (CGRP) monoclonal antibody, galcanezumab, as another preventative, which further reduced the headache days down to 8-10 days per month (all migraine). 

The attacks are rapid onset and can last multiple days. They come with photophobia and phonophobia and cause her to be bedridden, she noted. 

“I was still worried about this frequency of headache and the fact she was using a triptan for acute treatment when she had uncontrolled hypertension and other cardiovascular risk factors, Dr. Ailani commented. 

She explained that triptans are generally not used in individuals aged over 65 years because of a lack of data in this age group. They are also contraindicated in patients with cardiovascular (CV) disease, and caution is advised in patients with CV risk factors. Noting that migraine is an independent risk factor for stroke in healthy individuals, and this patient already had three other major risk factors for stroke, Dr. Ailani said she did not think a triptan was the best option. 

When triptans do not work, Dr. Ailani said she thinks about dihydroergotamine, which she describes as “a great drug for long-lasting migraine” as it tends to have a sustained response. But it also has vasoconstrictive effects and can increase blood pressure, so it was not suitable for this patient. 

CV risk is also an issue with nonsteroidal anti-inflammatory drugs (NSAIDs), one of the staple treatments for acute migraine.

“NSAIDs are available over the counter, inexpensive, quite effective, and have minimal immediate side effects,” Dr. Ailani said. But long-term adverse events include CV events, particularly in those who already have CV risk factors, and it is now thought that NSAIDs actually carry more CV risk than triptans.

She noted that out of all the NSAIDs, celecoxib carries the lowest CV risk, and in the United States, it is available as a liquid formulation. There is also a study of ketorolac nasal spray showing it to be as effective as sumatriptan nasal spray for acute migraine.

As her patient was still going to the emergency room (ER) quite frequently at this point, Dr. Ailani prescribed ketorolac nasal spray as an emergency rescue medication, which did help to reduce ER visits but did not solve the acute treatment problem.

The next option she tried was the CGRP antagonists or “gepants” because of their good tolerability.

Because her patient had long attacks, Dr. Ailani said her first choice gepant was rimegepant as it has a long half-life.

She noted that in patients who have frequent migraine attacks (> 6 migraine days per month), using rimegepant as needed has been shown to lead to migraine frequency declining over time. “This shows that if we treat acute attacks properly, we can minimize the risk of chronic migraine.”

She pointed out that if a patient has prodrome that is easy to identify or has short attacks, ubrogepant may be a good option, having shown effectiveness in preventing or reducing the onset of the headache in the recently reported PRODROME trial when given the day before migraine starts.

Then there is also zavegepant, which is available as a nasal spray, so it is a good option for patients with nausea and vomiting. Dr. Ailani suggested that zavegepant as a third-generation gepant may be worth trying in patients who have tried the other gepants, as it is a different type of molecule.

For this patient, neither rimegepant nor ubrogepant worked. “We tried treating in the prodrome, when the pain was starting, adding to other treatments, but she is not a ‘gepant’ responder. We have yet to try zavegepant,” she said.

The next consideration was lasmiditan. “This patient is a triptan responder and lasmiditan is a 5HT1 agonist, so it makes sense to try this. Also, it doesn’t have a vasoconstrictor effect as it doesn’t work on the blood vessels, so it is safe for patients with high blood pressure,” Dr. Ailani noted.

She pointed out, however, that lasmiditan has become a rescue medication in her practice because of side effect issues such as dizziness and sleepiness.

But Dr. Ailani said she has learned how to use the medication to minimize the side effects, by increasing the dose slowly and advising patients to take it later in the day.

“We start with 50 mg for a few doses then increase to 100 mg. This seems to build tolerability.”

Her patient has found good relief from lasmiditan 100 mg, but she can’t take it during the day as it makes her sleepy.

As a last resort, Dr. Ailani went back to metoclopramide, which she described as “a tried and tested old-time drug.”

While this does not make the patient sleepy, it has other adverse effects limiting the frequency of its use, she noted. “I ask her to try to limit it to twice a week, and this has been pretty effective. She can function when she uses it.” 

Dr. Ailani also points out that neuromodulation should be in everyone’s tool kit. “So, we added an external combined occipital and trigeminal (eCOT device) neurostimulation device.”

The patient’s tool kit now looks like this:

• Neuromodulation device and meditation at first sign of an attack.
• Add metoclopramide 10 mg and acetaminophen 1000 mg.
• If the attack lasts into the second day, add lasmiditan 100 mg in the evening of the second day (limit 8 days a month).
• If the patient has a sudden onset severe migraine with nausea and vomiting that might make her go to the ER, add in ketorolac nasal spray (not > 5 days per month).

Dr. Ailani noted that other patients will need different toolkits, and in most cases, it is recommended to think about “situational prevention” for times when migraine attacks are predictable, which may include air travel, high-stress times (holidays, etc.), occasions when alcohol will be consumed, and at times of certain weather triggers.

Dr. Ailani disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

Selecting a treatment plan to deal with acute migraine attacks can be like putting together a toolkit of possible therapies, individualized for each patient, one expert said.

The toolkit should comprise reliable treatments that patients know are going to work and that act quickly, allowing them to get back to functioning normally in their daily lives, said Jessica Ailani, MD, during a talk at the 17th European Headache Congress held recently in Barcelona, Spain. 

“Everyone with migraine needs acute treatment,” Dr. Ailani, who is a clinical professor of neurology at MedStar Georgetown University Hospital and director of the Georgetown Headache Center, Washington, DC, noted. “Sometimes we can reduce acute treatment with preventative agents, but some disability will remain, so we have to focus on good acute treatment, and this becomes more complex if a person has a lot of comorbidities, which is common in older patients.” 

In selecting suitable treatments for migraine, consideration has to be given to the patient profile, any other conditions they have, speed of onset of the migraine attack, length of the attack, associated symptoms, and side effects of the medications, she said. 
 

A Complex Case

As an example, Dr. Ailani described the process she used to treat one of her patients who had frequent severe migraines and other issues causing difficult decisions when selecting medications — a woman in her late 60s with several other comorbidities.

“This is the kind of case I see on a daily basis and which keeps me up at night,” she said. “Many times in clinical practice, we see complex cases like this, and through the course of a year, we may try every treatment option we have in a patient like this.”

On the first presentation, the patient had a chronic migraine with severe headaches every day. She had a history of previous cervical discectomy with fusion surgery; uncontrolled hypertension, for which she was taking an angiotensin blocker; high cholesterol, for which she was taking a statin; and diabetes with an A1c of 8. She did not smoke or drink alcohol, exercised moderately, and her body mass index was in a good range. 

“Before a patient ever sees a doctor for their migraine, they will have already tried a lot of different things. Most people are already using NSAIDs and acetaminophen, the most commonly used treatments for acute migraine,” Dr. Ailani explains.

Her patient was taking a triptan and the barbiturate, butalbital. Dr. Ailani notes that the triptan is very effective, but in the United States, they are not available over the counter, and the patient is only allowed nine doses per month on her insurance, so she was supplementing with butalbital. 

Over the course of a year, Dr. Ailani got her off the butalbital and started her on onabotulinum toxin A for migraine prevention, which reduced her headache days to about 15 per month (8 severe). She then added the anti-calcitonin gene-related peptide (CGRP) monoclonal antibody, galcanezumab, as another preventative, which further reduced the headache days down to 8-10 days per month (all migraine). 

The attacks are rapid onset and can last multiple days. They come with photophobia and phonophobia and cause her to be bedridden, she noted. 

“I was still worried about this frequency of headache and the fact she was using a triptan for acute treatment when she had uncontrolled hypertension and other cardiovascular risk factors, Dr. Ailani commented. 

She explained that triptans are generally not used in individuals aged over 65 years because of a lack of data in this age group. They are also contraindicated in patients with cardiovascular (CV) disease, and caution is advised in patients with CV risk factors. Noting that migraine is an independent risk factor for stroke in healthy individuals, and this patient already had three other major risk factors for stroke, Dr. Ailani said she did not think a triptan was the best option. 

When triptans do not work, Dr. Ailani said she thinks about dihydroergotamine, which she describes as “a great drug for long-lasting migraine” as it tends to have a sustained response. But it also has vasoconstrictive effects and can increase blood pressure, so it was not suitable for this patient. 

CV risk is also an issue with nonsteroidal anti-inflammatory drugs (NSAIDs), one of the staple treatments for acute migraine.

“NSAIDs are available over the counter, inexpensive, quite effective, and have minimal immediate side effects,” Dr. Ailani said. But long-term adverse events include CV events, particularly in those who already have CV risk factors, and it is now thought that NSAIDs actually carry more CV risk than triptans.

She noted that out of all the NSAIDs, celecoxib carries the lowest CV risk, and in the United States, it is available as a liquid formulation. There is also a study of ketorolac nasal spray showing it to be as effective as sumatriptan nasal spray for acute migraine.

As her patient was still going to the emergency room (ER) quite frequently at this point, Dr. Ailani prescribed ketorolac nasal spray as an emergency rescue medication, which did help to reduce ER visits but did not solve the acute treatment problem.

The next option she tried was the CGRP antagonists or “gepants” because of their good tolerability.

Because her patient had long attacks, Dr. Ailani said her first choice gepant was rimegepant as it has a long half-life.

She noted that in patients who have frequent migraine attacks (> 6 migraine days per month), using rimegepant as needed has been shown to lead to migraine frequency declining over time. “This shows that if we treat acute attacks properly, we can minimize the risk of chronic migraine.”

She pointed out that if a patient has prodrome that is easy to identify or has short attacks, ubrogepant may be a good option, having shown effectiveness in preventing or reducing the onset of the headache in the recently reported PRODROME trial when given the day before migraine starts.

Then there is also zavegepant, which is available as a nasal spray, so it is a good option for patients with nausea and vomiting. Dr. Ailani suggested that zavegepant as a third-generation gepant may be worth trying in patients who have tried the other gepants, as it is a different type of molecule.

For this patient, neither rimegepant nor ubrogepant worked. “We tried treating in the prodrome, when the pain was starting, adding to other treatments, but she is not a ‘gepant’ responder. We have yet to try zavegepant,” she said.

The next consideration was lasmiditan. “This patient is a triptan responder and lasmiditan is a 5HT1 agonist, so it makes sense to try this. Also, it doesn’t have a vasoconstrictor effect as it doesn’t work on the blood vessels, so it is safe for patients with high blood pressure,” Dr. Ailani noted.

She pointed out, however, that lasmiditan has become a rescue medication in her practice because of side effect issues such as dizziness and sleepiness.

But Dr. Ailani said she has learned how to use the medication to minimize the side effects, by increasing the dose slowly and advising patients to take it later in the day.

“We start with 50 mg for a few doses then increase to 100 mg. This seems to build tolerability.”

Her patient has found good relief from lasmiditan 100 mg, but she can’t take it during the day as it makes her sleepy.

As a last resort, Dr. Ailani went back to metoclopramide, which she described as “a tried and tested old-time drug.”

While this does not make the patient sleepy, it has other adverse effects limiting the frequency of its use, she noted. “I ask her to try to limit it to twice a week, and this has been pretty effective. She can function when she uses it.” 

Dr. Ailani also points out that neuromodulation should be in everyone’s tool kit. “So, we added an external combined occipital and trigeminal (eCOT device) neurostimulation device.”

The patient’s tool kit now looks like this:

• Neuromodulation device and meditation at first sign of an attack.
• Add metoclopramide 10 mg and acetaminophen 1000 mg.
• If the attack lasts into the second day, add lasmiditan 100 mg in the evening of the second day (limit 8 days a month).
• If the patient has a sudden onset severe migraine with nausea and vomiting that might make her go to the ER, add in ketorolac nasal spray (not > 5 days per month).

Dr. Ailani noted that other patients will need different toolkits, and in most cases, it is recommended to think about “situational prevention” for times when migraine attacks are predictable, which may include air travel, high-stress times (holidays, etc.), occasions when alcohol will be consumed, and at times of certain weather triggers.

Dr. Ailani disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

Selecting a treatment plan to deal with acute migraine attacks can be like putting together a toolkit of possible therapies, individualized for each patient, one expert said.

The toolkit should comprise reliable treatments that patients know are going to work and that act quickly, allowing them to get back to functioning normally in their daily lives, said Jessica Ailani, MD, during a talk at the 17th European Headache Congress held recently in Barcelona, Spain. 

“Everyone with migraine needs acute treatment,” Dr. Ailani, who is a clinical professor of neurology at MedStar Georgetown University Hospital and director of the Georgetown Headache Center, Washington, DC, noted. “Sometimes we can reduce acute treatment with preventative agents, but some disability will remain, so we have to focus on good acute treatment, and this becomes more complex if a person has a lot of comorbidities, which is common in older patients.” 

In selecting suitable treatments for migraine, consideration has to be given to the patient profile, any other conditions they have, speed of onset of the migraine attack, length of the attack, associated symptoms, and side effects of the medications, she said. 
 

A Complex Case

As an example, Dr. Ailani described the process she used to treat one of her patients who had frequent severe migraines and other issues causing difficult decisions when selecting medications — a woman in her late 60s with several other comorbidities.

“This is the kind of case I see on a daily basis and which keeps me up at night,” she said. “Many times in clinical practice, we see complex cases like this, and through the course of a year, we may try every treatment option we have in a patient like this.”

On the first presentation, the patient had a chronic migraine with severe headaches every day. She had a history of previous cervical discectomy with fusion surgery; uncontrolled hypertension, for which she was taking an angiotensin blocker; high cholesterol, for which she was taking a statin; and diabetes with an A1c of 8. She did not smoke or drink alcohol, exercised moderately, and her body mass index was in a good range. 

“Before a patient ever sees a doctor for their migraine, they will have already tried a lot of different things. Most people are already using NSAIDs and acetaminophen, the most commonly used treatments for acute migraine,” Dr. Ailani explains.

Her patient was taking a triptan and the barbiturate, butalbital. Dr. Ailani notes that the triptan is very effective, but in the United States, they are not available over the counter, and the patient is only allowed nine doses per month on her insurance, so she was supplementing with butalbital. 

Over the course of a year, Dr. Ailani got her off the butalbital and started her on onabotulinum toxin A for migraine prevention, which reduced her headache days to about 15 per month (8 severe). She then added the anti-calcitonin gene-related peptide (CGRP) monoclonal antibody, galcanezumab, as another preventative, which further reduced the headache days down to 8-10 days per month (all migraine). 

The attacks are rapid onset and can last multiple days. They come with photophobia and phonophobia and cause her to be bedridden, she noted. 

“I was still worried about this frequency of headache and the fact she was using a triptan for acute treatment when she had uncontrolled hypertension and other cardiovascular risk factors, Dr. Ailani commented. 

She explained that triptans are generally not used in individuals aged over 65 years because of a lack of data in this age group. They are also contraindicated in patients with cardiovascular (CV) disease, and caution is advised in patients with CV risk factors. Noting that migraine is an independent risk factor for stroke in healthy individuals, and this patient already had three other major risk factors for stroke, Dr. Ailani said she did not think a triptan was the best option. 

When triptans do not work, Dr. Ailani said she thinks about dihydroergotamine, which she describes as “a great drug for long-lasting migraine” as it tends to have a sustained response. But it also has vasoconstrictive effects and can increase blood pressure, so it was not suitable for this patient. 

CV risk is also an issue with nonsteroidal anti-inflammatory drugs (NSAIDs), one of the staple treatments for acute migraine.

“NSAIDs are available over the counter, inexpensive, quite effective, and have minimal immediate side effects,” Dr. Ailani said. But long-term adverse events include CV events, particularly in those who already have CV risk factors, and it is now thought that NSAIDs actually carry more CV risk than triptans.

She noted that out of all the NSAIDs, celecoxib carries the lowest CV risk, and in the United States, it is available as a liquid formulation. There is also a study of ketorolac nasal spray showing it to be as effective as sumatriptan nasal spray for acute migraine.

As her patient was still going to the emergency room (ER) quite frequently at this point, Dr. Ailani prescribed ketorolac nasal spray as an emergency rescue medication, which did help to reduce ER visits but did not solve the acute treatment problem.

The next option she tried was the CGRP antagonists or “gepants” because of their good tolerability.

Because her patient had long attacks, Dr. Ailani said her first choice gepant was rimegepant as it has a long half-life.

She noted that in patients who have frequent migraine attacks (> 6 migraine days per month), using rimegepant as needed has been shown to lead to migraine frequency declining over time. “This shows that if we treat acute attacks properly, we can minimize the risk of chronic migraine.”

She pointed out that if a patient has prodrome that is easy to identify or has short attacks, ubrogepant may be a good option, having shown effectiveness in preventing or reducing the onset of the headache in the recently reported PRODROME trial when given the day before migraine starts.

Then there is also zavegepant, which is available as a nasal spray, so it is a good option for patients with nausea and vomiting. Dr. Ailani suggested that zavegepant as a third-generation gepant may be worth trying in patients who have tried the other gepants, as it is a different type of molecule.

For this patient, neither rimegepant nor ubrogepant worked. “We tried treating in the prodrome, when the pain was starting, adding to other treatments, but she is not a ‘gepant’ responder. We have yet to try zavegepant,” she said.

The next consideration was lasmiditan. “This patient is a triptan responder and lasmiditan is a 5HT1 agonist, so it makes sense to try this. Also, it doesn’t have a vasoconstrictor effect as it doesn’t work on the blood vessels, so it is safe for patients with high blood pressure,” Dr. Ailani noted.

She pointed out, however, that lasmiditan has become a rescue medication in her practice because of side effect issues such as dizziness and sleepiness.

But Dr. Ailani said she has learned how to use the medication to minimize the side effects, by increasing the dose slowly and advising patients to take it later in the day.

“We start with 50 mg for a few doses then increase to 100 mg. This seems to build tolerability.”

Her patient has found good relief from lasmiditan 100 mg, but she can’t take it during the day as it makes her sleepy.

As a last resort, Dr. Ailani went back to metoclopramide, which she described as “a tried and tested old-time drug.”

While this does not make the patient sleepy, it has other adverse effects limiting the frequency of its use, she noted. “I ask her to try to limit it to twice a week, and this has been pretty effective. She can function when she uses it.” 

Dr. Ailani also points out that neuromodulation should be in everyone’s tool kit. “So, we added an external combined occipital and trigeminal (eCOT device) neurostimulation device.”

The patient’s tool kit now looks like this:

• Neuromodulation device and meditation at first sign of an attack.
• Add metoclopramide 10 mg and acetaminophen 1000 mg.
• If the attack lasts into the second day, add lasmiditan 100 mg in the evening of the second day (limit 8 days a month).
• If the patient has a sudden onset severe migraine with nausea and vomiting that might make her go to the ER, add in ketorolac nasal spray (not > 5 days per month).

Dr. Ailani noted that other patients will need different toolkits, and in most cases, it is recommended to think about “situational prevention” for times when migraine attacks are predictable, which may include air travel, high-stress times (holidays, etc.), occasions when alcohol will be consumed, and at times of certain weather triggers.

Dr. Ailani disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

A study published last spring suggesting that hearing aids may help reduce dementia risk has been retracted due to a coding error identified by the authors. 

The study was published April 13 in The Lancet Public Health and reported at that time. It was retracted by the journal on December 12.

According to the retraction notice, the journal editors in late November were informed by the authors of the paper that an error was introduced in the output format setting of their SAS codes, which led to data for people with hearing loss using hearing aids and those with hearing loss without using hearing aids being switched. 

This led to errors in their analysis, “which render their findings and conclusions false and misleading,” the retraction notice states. 

These errors were identified by the researchers following an exchange with scientists seeking to reproduce the authors’ findings.In a statement, The Lancet Group said it “takes issues relating to research integrity extremely seriously” and follows best-practice guidance from the Committee on Publication Ethics (COPE) and the International Committee of Medical Journal Editors (ICMJE). 

“Retractions are a rare but important part of the publishing process, and we are grateful to the scientists who prompted the re-examination of the data,” the statement reads. 

Despite the retraction, other studies have suggested a link between hearing and dementia. 

One study of US Medicare beneficiaries found a 61% higher dementia prevalence in those with moderate to severe hearing loss compared to those with normal hearing.

In this research, even mild hearing loss was associated with increased dementia risk, although it was not statistically significant, and use of hearing aids was tied to a 32% decrease in dementia prevalence. 

In addition, a large meta-analysis showed that hearing aids significantly reduce the risk for cognitive decline and dementia and even improve short-term cognitive function in individuals with hearing loss.

A version of this article appeared on Medscape.com.

A study published last spring suggesting that hearing aids may help reduce dementia risk has been retracted due to a coding error identified by the authors. 

The study was published April 13 in The Lancet Public Health and reported at that time. It was retracted by the journal on December 12.

According to the retraction notice, the journal editors in late November were informed by the authors of the paper that an error was introduced in the output format setting of their SAS codes, which led to data for people with hearing loss using hearing aids and those with hearing loss without using hearing aids being switched. 

This led to errors in their analysis, “which render their findings and conclusions false and misleading,” the retraction notice states. 

These errors were identified by the researchers following an exchange with scientists seeking to reproduce the authors’ findings.In a statement, The Lancet Group said it “takes issues relating to research integrity extremely seriously” and follows best-practice guidance from the Committee on Publication Ethics (COPE) and the International Committee of Medical Journal Editors (ICMJE). 

“Retractions are a rare but important part of the publishing process, and we are grateful to the scientists who prompted the re-examination of the data,” the statement reads. 

Despite the retraction, other studies have suggested a link between hearing and dementia. 

One study of US Medicare beneficiaries found a 61% higher dementia prevalence in those with moderate to severe hearing loss compared to those with normal hearing.

In this research, even mild hearing loss was associated with increased dementia risk, although it was not statistically significant, and use of hearing aids was tied to a 32% decrease in dementia prevalence. 

In addition, a large meta-analysis showed that hearing aids significantly reduce the risk for cognitive decline and dementia and even improve short-term cognitive function in individuals with hearing loss.

A version of this article appeared on Medscape.com.

A study published last spring suggesting that hearing aids may help reduce dementia risk has been retracted due to a coding error identified by the authors. 

The study was published April 13 in The Lancet Public Health and reported at that time. It was retracted by the journal on December 12.

According to the retraction notice, the journal editors in late November were informed by the authors of the paper that an error was introduced in the output format setting of their SAS codes, which led to data for people with hearing loss using hearing aids and those with hearing loss without using hearing aids being switched. 

This led to errors in their analysis, “which render their findings and conclusions false and misleading,” the retraction notice states. 

These errors were identified by the researchers following an exchange with scientists seeking to reproduce the authors’ findings.In a statement, The Lancet Group said it “takes issues relating to research integrity extremely seriously” and follows best-practice guidance from the Committee on Publication Ethics (COPE) and the International Committee of Medical Journal Editors (ICMJE). 

“Retractions are a rare but important part of the publishing process, and we are grateful to the scientists who prompted the re-examination of the data,” the statement reads. 

Despite the retraction, other studies have suggested a link between hearing and dementia. 

One study of US Medicare beneficiaries found a 61% higher dementia prevalence in those with moderate to severe hearing loss compared to those with normal hearing.

In this research, even mild hearing loss was associated with increased dementia risk, although it was not statistically significant, and use of hearing aids was tied to a 32% decrease in dementia prevalence. 

In addition, a large meta-analysis showed that hearing aids significantly reduce the risk for cognitive decline and dementia and even improve short-term cognitive function in individuals with hearing loss.

A version of this article appeared on Medscape.com.

TOPLINE:

Light therapy leads to significant improvement in several sleep measures and helps alleviate depression and agitation in patients with Alzheimer’s disease (AD), a meta-analysis of 15 high-quality trials shows.

METHODOLOGY:

• This meta-analysis included 15 randomized controlled trials involving 598 patients with mild to moderate AD.
• The included trials were written in English, published between 2005 and 2022, and performed in seven countries. A fixed-effects model was used for data analysis.

TAKEAWAY:

• Light therapy significantly improved sleep efficiency (mean difference [MD], −2.42; P < .00001), increased interdaily stability (MD, −0.04; P < .00001), and reduced intradaily variability (MD, −0.04; P < .00001), indicating better sleep quality.
• Light therapy reduced agitation (MD, −3.97; P < .00001), depression (MD, −2.55; P < .00001), and caregiver burden (MD, −3.57; P < .00001).
• Light therapy also had a significant advantage over usual care in reducing the severity of psychobehavioral symptoms as assessed by the Neuropsychiatric Inventory (MD, −3.07; P < .00001).
• Light therapy had no statistically significant effect on improving cognitive function as measured by the Mini-Mental State Examination.

IN PRACTICE:

“These findings, combined with its low side-effects, suggest the role of light therapy as a promising treatment for AD. Although light therapy has fewer side effects than pharmacological treatment, adverse behavioral outcomes in patients due to bright light exposure should be considered,” the authors wrote.

SOURCE:

The study by Lili Zang and colleagues from Weifang Medical University School of Nursing, Shandong Province, China, was published online on December 6, 2023, in PLOS One.

LIMITATIONS:

The types and degrees of dementia in the included studies were inconsistent, potentially affecting the outcome indicators. Some articles did not clearly describe their randomization and allocation concealment methods, indicating possible bias in these studies.

DISCLOSURES:

The study was supported by the Natural Science Foundation of Shandong Province, China. The authors declared no competing interests.

Megan Brooks has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

TOPLINE:

Light therapy leads to significant improvement in several sleep measures and helps alleviate depression and agitation in patients with Alzheimer’s disease (AD), a meta-analysis of 15 high-quality trials shows.

METHODOLOGY:

• This meta-analysis included 15 randomized controlled trials involving 598 patients with mild to moderate AD.
• The included trials were written in English, published between 2005 and 2022, and performed in seven countries. A fixed-effects model was used for data analysis.

TAKEAWAY:

• Light therapy significantly improved sleep efficiency (mean difference [MD], −2.42; P < .00001), increased interdaily stability (MD, −0.04; P < .00001), and reduced intradaily variability (MD, −0.04; P < .00001), indicating better sleep quality.
• Light therapy reduced agitation (MD, −3.97; P < .00001), depression (MD, −2.55; P < .00001), and caregiver burden (MD, −3.57; P < .00001).
• Light therapy also had a significant advantage over usual care in reducing the severity of psychobehavioral symptoms as assessed by the Neuropsychiatric Inventory (MD, −3.07; P < .00001).
• Light therapy had no statistically significant effect on improving cognitive function as measured by the Mini-Mental State Examination.

IN PRACTICE:

“These findings, combined with its low side-effects, suggest the role of light therapy as a promising treatment for AD. Although light therapy has fewer side effects than pharmacological treatment, adverse behavioral outcomes in patients due to bright light exposure should be considered,” the authors wrote.

SOURCE:

The study by Lili Zang and colleagues from Weifang Medical University School of Nursing, Shandong Province, China, was published online on December 6, 2023, in PLOS One.

LIMITATIONS:

The types and degrees of dementia in the included studies were inconsistent, potentially affecting the outcome indicators. Some articles did not clearly describe their randomization and allocation concealment methods, indicating possible bias in these studies.

DISCLOSURES:

The study was supported by the Natural Science Foundation of Shandong Province, China. The authors declared no competing interests.

Megan Brooks has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

TOPLINE:

Light therapy leads to significant improvement in several sleep measures and helps alleviate depression and agitation in patients with Alzheimer’s disease (AD), a meta-analysis of 15 high-quality trials shows.

METHODOLOGY:

• This meta-analysis included 15 randomized controlled trials involving 598 patients with mild to moderate AD.
• The included trials were written in English, published between 2005 and 2022, and performed in seven countries. A fixed-effects model was used for data analysis.

TAKEAWAY:

• Light therapy significantly improved sleep efficiency (mean difference [MD], −2.42; P < .00001), increased interdaily stability (MD, −0.04; P < .00001), and reduced intradaily variability (MD, −0.04; P < .00001), indicating better sleep quality.
• Light therapy reduced agitation (MD, −3.97; P < .00001), depression (MD, −2.55; P < .00001), and caregiver burden (MD, −3.57; P < .00001).
• Light therapy also had a significant advantage over usual care in reducing the severity of psychobehavioral symptoms as assessed by the Neuropsychiatric Inventory (MD, −3.07; P < .00001).
• Light therapy had no statistically significant effect on improving cognitive function as measured by the Mini-Mental State Examination.

IN PRACTICE:

“These findings, combined with its low side-effects, suggest the role of light therapy as a promising treatment for AD. Although light therapy has fewer side effects than pharmacological treatment, adverse behavioral outcomes in patients due to bright light exposure should be considered,” the authors wrote.

SOURCE:

The study by Lili Zang and colleagues from Weifang Medical University School of Nursing, Shandong Province, China, was published online on December 6, 2023, in PLOS One.

LIMITATIONS:

The types and degrees of dementia in the included studies were inconsistent, potentially affecting the outcome indicators. Some articles did not clearly describe their randomization and allocation concealment methods, indicating possible bias in these studies.

DISCLOSURES:

The study was supported by the Natural Science Foundation of Shandong Province, China. The authors declared no competing interests.

Megan Brooks has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

Depression, constipation, cystitis/urinary tract infections (UTIs), and sexual dysfunction may be early warning signs of multiple sclerosis (MS) 5 years prior to diagnosis, new research shows.

However, these prodromal symptoms are also more likely to occur in people with two other autoimmune diseases — lupus and Crohn’s disease — and therefore, will not help earlier diagnosis, study investigator, Céline Louapre, professor of neurology, Sorbonne University and Paris Brain Institute, Paris, France, said in an interview.

“On the other hand, in certain patients who may be at particular risk of developing MS, such as in certain familial forms or in patients with incidental inflammatory lesions discovered on MRI, the presence of these symptoms could suggest an already active process, prior to the first typical symptoms of the disease,” she noted.
 

Retracing MS Origins

The case-control study, published online in Neurology, included 20,174 people with newly diagnosed MS who were matched to 54,790 without MS, as well as 30,477 with Crohn’s disease and 7337 with lupus.

Using International Classification of Diseases, 10th revision (ICD-10) codes in electronic health records, the researchers assessed the associations between 113 diseases and symptoms in the 5 years before and after an MS diagnosis.

Twelve ICD-10 codes were significantly positively associated with the risk for MS compared with controls without MS.

After considering ICD-10 codes suggestive of neurologic symptoms as the first diagnosis of MS, the following five ICD-10 codes remained significantly associated with MS:

• Depression (odds ratio [OR], 1.22; 95% CI, 1.11-1.34)
• Sexual dysfunction (OR, 1.47; 95% CI, 1.11-1.95)
• Constipation (OR, 1.5; 95% CI, 1.27-1.78)
• Cystitis (OR, 1.21; 95% CI, 1.05-1.39)
• UTIs of unspecified site (OR, 1.38; 95% CI, 1.18-1.61)

However, none of these conditions was selectively associated with MS in comparison with both lupus and Crohn’s disease. All five ICD-10 codes identified were still associated with MS during the 5 years after diagnosis.

“The importance of investigating prodromal signs in MS is that it allows us to retrace the origins of the disease,” said Dr. Louapre.

“The main contribution of the data on prodromes in MS is to clarify that the disease and its mechanisms are frequently underway well before the first typical neurological symptoms, and that the causes of MS are probably present many years before diagnosis,” she added.

A limitation of the study was that data were not available for other factors that could influence people’s risk of developing MS, such as education level, ethnicity, body mass index, socioeconomic status, or genetic information.

It also remains unclear whether the conditions linked to MS are risk factors for the disease or nonspecific early MS symptoms.
 

Preventing Disease Evolution

In a linked editorial, Ruth Ann Marrie, MD, PhD, with the University of Manitoba, Manitoba, Canada, and Raffaele Palladino, MD, PhD, with the University of Naples Federico II, Naples, Italy, note these findings highlight the challenges of accurately identifying the prodromal stage of a specific disease.

“Commonalities of prodromal features are recognized across neurodegenerative diseases; this is also true for immune-mediated diseases, and it is not surprising, given shared etiologic factors and pathobiological mechanisms,” they point out.

“This suggests that we should be trying to link prodromal features to specific underlying pathobiological changes rather than specific diseases. This approach would require use of different study designs, including broad, deeply phenotyped cohorts, but would allow us to develop and test interventions targeted at those mechanisms, and could ultimately achieve the goal of preventing disease evolution,” they add.

The study was supported by the French National Research Agency. Dr. Louapre has received consulting or travel fees from Biogen, Novartis, Roche, Sanofi, Teva, and Merck Serono, unrelated to this study. Dr. Marrie is a coinvestigator on studies receiving funding from Biogen Idec and Roche Canada; receives research funding from CIHR, Research Manitoba, Multiple Sclerosis Society of Canada, Multiple Sclerosis Scientific Foundation, Crohn’s and Colitis Canada, National Multiple Sclerosis Society, CMSC, the Arthritis Society and the US Department of Defense; and serves on the editorial board of Neurology. Dr. Palladino has taken part in advisory boards/consultancy for MSD and Sanofi and has received support from the UK MS Society.

A version of this article appeared on Medscape.com.

Depression, constipation, cystitis/urinary tract infections (UTIs), and sexual dysfunction may be early warning signs of multiple sclerosis (MS) 5 years prior to diagnosis, new research shows.

However, these prodromal symptoms are also more likely to occur in people with two other autoimmune diseases — lupus and Crohn’s disease — and therefore, will not help earlier diagnosis, study investigator, Céline Louapre, professor of neurology, Sorbonne University and Paris Brain Institute, Paris, France, said in an interview.

“On the other hand, in certain patients who may be at particular risk of developing MS, such as in certain familial forms or in patients with incidental inflammatory lesions discovered on MRI, the presence of these symptoms could suggest an already active process, prior to the first typical symptoms of the disease,” she noted.
 

Retracing MS Origins

The case-control study, published online in Neurology, included 20,174 people with newly diagnosed MS who were matched to 54,790 without MS, as well as 30,477 with Crohn’s disease and 7337 with lupus.

Using International Classification of Diseases, 10th revision (ICD-10) codes in electronic health records, the researchers assessed the associations between 113 diseases and symptoms in the 5 years before and after an MS diagnosis.

Twelve ICD-10 codes were significantly positively associated with the risk for MS compared with controls without MS.

After considering ICD-10 codes suggestive of neurologic symptoms as the first diagnosis of MS, the following five ICD-10 codes remained significantly associated with MS:

• Depression (odds ratio [OR], 1.22; 95% CI, 1.11-1.34)
• Sexual dysfunction (OR, 1.47; 95% CI, 1.11-1.95)
• Constipation (OR, 1.5; 95% CI, 1.27-1.78)
• Cystitis (OR, 1.21; 95% CI, 1.05-1.39)
• UTIs of unspecified site (OR, 1.38; 95% CI, 1.18-1.61)

However, none of these conditions was selectively associated with MS in comparison with both lupus and Crohn’s disease. All five ICD-10 codes identified were still associated with MS during the 5 years after diagnosis.

“The importance of investigating prodromal signs in MS is that it allows us to retrace the origins of the disease,” said Dr. Louapre.

“The main contribution of the data on prodromes in MS is to clarify that the disease and its mechanisms are frequently underway well before the first typical neurological symptoms, and that the causes of MS are probably present many years before diagnosis,” she added.

A limitation of the study was that data were not available for other factors that could influence people’s risk of developing MS, such as education level, ethnicity, body mass index, socioeconomic status, or genetic information.

It also remains unclear whether the conditions linked to MS are risk factors for the disease or nonspecific early MS symptoms.
 

Preventing Disease Evolution

In a linked editorial, Ruth Ann Marrie, MD, PhD, with the University of Manitoba, Manitoba, Canada, and Raffaele Palladino, MD, PhD, with the University of Naples Federico II, Naples, Italy, note these findings highlight the challenges of accurately identifying the prodromal stage of a specific disease.

“Commonalities of prodromal features are recognized across neurodegenerative diseases; this is also true for immune-mediated diseases, and it is not surprising, given shared etiologic factors and pathobiological mechanisms,” they point out.

“This suggests that we should be trying to link prodromal features to specific underlying pathobiological changes rather than specific diseases. This approach would require use of different study designs, including broad, deeply phenotyped cohorts, but would allow us to develop and test interventions targeted at those mechanisms, and could ultimately achieve the goal of preventing disease evolution,” they add.

The study was supported by the French National Research Agency. Dr. Louapre has received consulting or travel fees from Biogen, Novartis, Roche, Sanofi, Teva, and Merck Serono, unrelated to this study. Dr. Marrie is a coinvestigator on studies receiving funding from Biogen Idec and Roche Canada; receives research funding from CIHR, Research Manitoba, Multiple Sclerosis Society of Canada, Multiple Sclerosis Scientific Foundation, Crohn’s and Colitis Canada, National Multiple Sclerosis Society, CMSC, the Arthritis Society and the US Department of Defense; and serves on the editorial board of Neurology. Dr. Palladino has taken part in advisory boards/consultancy for MSD and Sanofi and has received support from the UK MS Society.

A version of this article appeared on Medscape.com.

Depression, constipation, cystitis/urinary tract infections (UTIs), and sexual dysfunction may be early warning signs of multiple sclerosis (MS) 5 years prior to diagnosis, new research shows.

However, these prodromal symptoms are also more likely to occur in people with two other autoimmune diseases — lupus and Crohn’s disease — and therefore, will not help earlier diagnosis, study investigator, Céline Louapre, professor of neurology, Sorbonne University and Paris Brain Institute, Paris, France, said in an interview.

“On the other hand, in certain patients who may be at particular risk of developing MS, such as in certain familial forms or in patients with incidental inflammatory lesions discovered on MRI, the presence of these symptoms could suggest an already active process, prior to the first typical symptoms of the disease,” she noted.
 

Retracing MS Origins

The case-control study, published online in Neurology, included 20,174 people with newly diagnosed MS who were matched to 54,790 without MS, as well as 30,477 with Crohn’s disease and 7337 with lupus.

Using International Classification of Diseases, 10th revision (ICD-10) codes in electronic health records, the researchers assessed the associations between 113 diseases and symptoms in the 5 years before and after an MS diagnosis.

Twelve ICD-10 codes were significantly positively associated with the risk for MS compared with controls without MS.

After considering ICD-10 codes suggestive of neurologic symptoms as the first diagnosis of MS, the following five ICD-10 codes remained significantly associated with MS:

• Depression (odds ratio [OR], 1.22; 95% CI, 1.11-1.34)
• Sexual dysfunction (OR, 1.47; 95% CI, 1.11-1.95)
• Constipation (OR, 1.5; 95% CI, 1.27-1.78)
• Cystitis (OR, 1.21; 95% CI, 1.05-1.39)
• UTIs of unspecified site (OR, 1.38; 95% CI, 1.18-1.61)

However, none of these conditions was selectively associated with MS in comparison with both lupus and Crohn’s disease. All five ICD-10 codes identified were still associated with MS during the 5 years after diagnosis.

“The importance of investigating prodromal signs in MS is that it allows us to retrace the origins of the disease,” said Dr. Louapre.

“The main contribution of the data on prodromes in MS is to clarify that the disease and its mechanisms are frequently underway well before the first typical neurological symptoms, and that the causes of MS are probably present many years before diagnosis,” she added.

A limitation of the study was that data were not available for other factors that could influence people’s risk of developing MS, such as education level, ethnicity, body mass index, socioeconomic status, or genetic information.

It also remains unclear whether the conditions linked to MS are risk factors for the disease or nonspecific early MS symptoms.
 

Preventing Disease Evolution

In a linked editorial, Ruth Ann Marrie, MD, PhD, with the University of Manitoba, Manitoba, Canada, and Raffaele Palladino, MD, PhD, with the University of Naples Federico II, Naples, Italy, note these findings highlight the challenges of accurately identifying the prodromal stage of a specific disease.

“Commonalities of prodromal features are recognized across neurodegenerative diseases; this is also true for immune-mediated diseases, and it is not surprising, given shared etiologic factors and pathobiological mechanisms,” they point out.

“This suggests that we should be trying to link prodromal features to specific underlying pathobiological changes rather than specific diseases. This approach would require use of different study designs, including broad, deeply phenotyped cohorts, but would allow us to develop and test interventions targeted at those mechanisms, and could ultimately achieve the goal of preventing disease evolution,” they add.

The study was supported by the French National Research Agency. Dr. Louapre has received consulting or travel fees from Biogen, Novartis, Roche, Sanofi, Teva, and Merck Serono, unrelated to this study. Dr. Marrie is a coinvestigator on studies receiving funding from Biogen Idec and Roche Canada; receives research funding from CIHR, Research Manitoba, Multiple Sclerosis Society of Canada, Multiple Sclerosis Scientific Foundation, Crohn’s and Colitis Canada, National Multiple Sclerosis Society, CMSC, the Arthritis Society and the US Department of Defense; and serves on the editorial board of Neurology. Dr. Palladino has taken part in advisory boards/consultancy for MSD and Sanofi and has received support from the UK MS Society.

A version of this article appeared on Medscape.com.

TOPLINE

Babies born to mothers living in disadvantaged neighborhoods have a higher risk of being diagnosed with autism spectrum disorder (ASD), but only if they are White, a population-based prospective cohort study shows. 

METHODOLOGY

• Investigators analyzed data from a large cohort of singleton children with insurance born in Kaiser Permanente Southern California hospitals between 2001 and 2014.
• They ascertained ASD diagnosis, maternal race and ethnicity, and maternal address at time of birth.
• Neighborhood disadvantage was determined by the percentage of families in the mother’s neighborhood considered to be living in poverty, unemployed, have female-headed households with children, using public assistance, less than a high school education, among other variables.

TAKEAWAY

• Among 318,300 mothers who delivered babies during the study period, 6350 children were diagnosed with ASD during follow-up, and median age at diagnosis was 3.5 years.
• Greater neighborhood disadvantage at birth was associated with a higher likelihood of ASD diagnosis (adjusted hazard ratio [aHR], 1.07; 95% CI, 1.02-1.11)
• ASD diagnoses were more likely among children of mothers who were Black (aHR, 1.13; 95% CI, 1.02-1.25), Asian/Pacific Islander (aHR, 1.11; 95% CI, 1.02-1.20), or Hispanic (aHR, 1.07; 95% CI, 1.00-1.15), even after the researchers controlled for neighborhood.
• While odds of an ASD diagnosis were higher among children from minority racial and ethnic groups, neighborhood disadvantage was significantly associated with ASD diagnosis only for children of White mothers (aHR, 1.17; 95% CI, 1.09-1.26).

IN PRACTICE

Investigators noted that they could only speculate about the factors driving the association between neighborhood disadvantage and a stronger risk for ASD diagnosis in children of White mothers. “They may be due to systemic racism, discrimination, and their impact on maternal health during pregnancy,” they wrote.

SOURCE

Xin Yu, MS, and Daniel Hackman, PhD, of the University of Southern California Los Angeles, led the study, which was published online November 15 in JAMA Psychiatry. 

LIMITATIONS

The research was limited by a lack of information on fathers and variables such as incomes, which may have confounded the findings. The authors also acknowledged that the study should be replicated in other health service settings. 

DISCLOSURES

The study was funded by the National Institutes on Environmental Health Sciences, the National Institutes of Health (NIH), and the Environmental Protection Agency. Dr. Hackman reported receiving grant funding from NIH during the conduct of the study. Other disclosures are available in the original study. 
 

A version of this article appeared on Medscape.com.

TOPLINE

Babies born to mothers living in disadvantaged neighborhoods have a higher risk of being diagnosed with autism spectrum disorder (ASD), but only if they are White, a population-based prospective cohort study shows. 

METHODOLOGY

• Investigators analyzed data from a large cohort of singleton children with insurance born in Kaiser Permanente Southern California hospitals between 2001 and 2014.
• They ascertained ASD diagnosis, maternal race and ethnicity, and maternal address at time of birth.
• Neighborhood disadvantage was determined by the percentage of families in the mother’s neighborhood considered to be living in poverty, unemployed, have female-headed households with children, using public assistance, less than a high school education, among other variables.

TAKEAWAY

• Among 318,300 mothers who delivered babies during the study period, 6350 children were diagnosed with ASD during follow-up, and median age at diagnosis was 3.5 years.
• Greater neighborhood disadvantage at birth was associated with a higher likelihood of ASD diagnosis (adjusted hazard ratio [aHR], 1.07; 95% CI, 1.02-1.11)
• ASD diagnoses were more likely among children of mothers who were Black (aHR, 1.13; 95% CI, 1.02-1.25), Asian/Pacific Islander (aHR, 1.11; 95% CI, 1.02-1.20), or Hispanic (aHR, 1.07; 95% CI, 1.00-1.15), even after the researchers controlled for neighborhood.
• While odds of an ASD diagnosis were higher among children from minority racial and ethnic groups, neighborhood disadvantage was significantly associated with ASD diagnosis only for children of White mothers (aHR, 1.17; 95% CI, 1.09-1.26).

IN PRACTICE

Investigators noted that they could only speculate about the factors driving the association between neighborhood disadvantage and a stronger risk for ASD diagnosis in children of White mothers. “They may be due to systemic racism, discrimination, and their impact on maternal health during pregnancy,” they wrote.

SOURCE

Xin Yu, MS, and Daniel Hackman, PhD, of the University of Southern California Los Angeles, led the study, which was published online November 15 in JAMA Psychiatry. 

LIMITATIONS

The research was limited by a lack of information on fathers and variables such as incomes, which may have confounded the findings. The authors also acknowledged that the study should be replicated in other health service settings. 

DISCLOSURES

The study was funded by the National Institutes on Environmental Health Sciences, the National Institutes of Health (NIH), and the Environmental Protection Agency. Dr. Hackman reported receiving grant funding from NIH during the conduct of the study. Other disclosures are available in the original study. 
 

A version of this article appeared on Medscape.com.

TOPLINE

Babies born to mothers living in disadvantaged neighborhoods have a higher risk of being diagnosed with autism spectrum disorder (ASD), but only if they are White, a population-based prospective cohort study shows. 

METHODOLOGY

• Investigators analyzed data from a large cohort of singleton children with insurance born in Kaiser Permanente Southern California hospitals between 2001 and 2014.
• They ascertained ASD diagnosis, maternal race and ethnicity, and maternal address at time of birth.
• Neighborhood disadvantage was determined by the percentage of families in the mother’s neighborhood considered to be living in poverty, unemployed, have female-headed households with children, using public assistance, less than a high school education, among other variables.

TAKEAWAY

• Among 318,300 mothers who delivered babies during the study period, 6350 children were diagnosed with ASD during follow-up, and median age at diagnosis was 3.5 years.
• Greater neighborhood disadvantage at birth was associated with a higher likelihood of ASD diagnosis (adjusted hazard ratio [aHR], 1.07; 95% CI, 1.02-1.11)
• ASD diagnoses were more likely among children of mothers who were Black (aHR, 1.13; 95% CI, 1.02-1.25), Asian/Pacific Islander (aHR, 1.11; 95% CI, 1.02-1.20), or Hispanic (aHR, 1.07; 95% CI, 1.00-1.15), even after the researchers controlled for neighborhood.
• While odds of an ASD diagnosis were higher among children from minority racial and ethnic groups, neighborhood disadvantage was significantly associated with ASD diagnosis only for children of White mothers (aHR, 1.17; 95% CI, 1.09-1.26).

IN PRACTICE

Investigators noted that they could only speculate about the factors driving the association between neighborhood disadvantage and a stronger risk for ASD diagnosis in children of White mothers. “They may be due to systemic racism, discrimination, and their impact on maternal health during pregnancy,” they wrote.

SOURCE

Xin Yu, MS, and Daniel Hackman, PhD, of the University of Southern California Los Angeles, led the study, which was published online November 15 in JAMA Psychiatry. 

LIMITATIONS

The research was limited by a lack of information on fathers and variables such as incomes, which may have confounded the findings. The authors also acknowledged that the study should be replicated in other health service settings. 

DISCLOSURES

The study was funded by the National Institutes on Environmental Health Sciences, the National Institutes of Health (NIH), and the Environmental Protection Agency. Dr. Hackman reported receiving grant funding from NIH during the conduct of the study. Other disclosures are available in the original study. 
 

A version of this article appeared on Medscape.com.