Pauline Anderson

TOPLINE:

Beyond the nutritional quality of a diet, the timing of meals is important, with later first and last meals of the day associated with increased risks for cardiovascular diseases (CVDs), especially in women, results of a large prospective study suggested.

METHODOLOGY:

• The study included 103,389 participants, mean baseline age 42.6 years and 79% women, who were volunteers in the ongoing NutriNet-Santé, a cohort study launched in France to better understand the relationship between nutrition and health.
• Participants completed questionnaires that in addition to data on socio-demographics, lifestyle, and physical activity provided information on when foods and beverages were consumed during each day, and they self-reported major health events, including CVDs.
• Researchers assessed associations between time of first meal of the day (before 8 am, 8-9 am, after 9 am) and last meal (before 8 pm, 8-9 pm, after 9 pm), number of eating occasions, and duration of nighttime fasting (12 h or less, 12-13 h, more than 13 h) and the risk for CVD, controlling for a large number of potential confounders, among them age, sex, education, income, smoking, and physical activity level.
• During a median follow-up of 7.2 years, 2036 cases of overall CVD, 988 cases of cerebrovascular disease (stroke, transient ischemic attack), and 1071 cases of coronary heart diseases (myocardial infraction, angina pectoris, acute coronary syndrome, angioplasty) were reported.

TAKEAWAY:

• Each additional hour delaying the time of the first meal of the day was associated with a higher risk for overall CVD (hazard ratio [HR], 1.06; 95% CI, 1.01-1.12; P = .02), with the association stronger in women than in men.
• Each additional hour in delaying the time of the last meal was associated with an increased risk for cerebrovascular disease; here, a last meal after 9 pm was associated with a 28% higher risk than a meal before 8 pm (HR, 1.28; 95% CI, 1.05-1.55; P < .01).
• There was no association between number of eating occasions and either overall CVD or cerebrovascular disease and no association between meal timing or number of eating occasions and risk for coronary heart disease.
• Each hour increase in nighttime fasting was associated with a 7% lower risk for cerebrovascular disease (HR, 0.93; 95% CI, 0.87-0.99; P = .02) but not with a risk for overall CVD or coronary heart disease.

IN PRACTICE:

“Our results suggest a potential benefit of adopting earlier eating timing patterns and coupling a longer nighttime fasting period with an early last meal, rather than breakfast skipping, in CVD prevention,” the authors wrote.

SOURCE:

The study was conducted by Anna Palomar-Cros, Barcelona Institute for Global Health and Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain, and colleagues. It was published online on December 14, 2023, in Nature Communications.

LIMITATIONS:

Information on shift work, exposure to night light, use of recreational drugs, and timing of physical activity, medication or alcohol consumption, all of which are potential disruptors of circadian rhythms, was not available, and sleep time and duration were available for only a subgroup of patients. Unknown or unmeasured potential confounders (eg, being awakened by children) could have contributed to residual confounding. Reverse causation bias linked to change in behaviors in people with poor health having difficulty getting out of bed in the mornings can’t be ruled out. Participants in the NutriNet-Santé cohort are more likely to be women, have a higher socioeconomic status, and healthier behavior patterns than the general population, perhaps limiting extrapolation of results.

DISCLOSURES:

The NutriNet-Santé study is supported by Ministère de la Santé, Santé Publique France, Institut National de la Santé et de la Recherche Médicale (INSERM), Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE), Conservatoire National des Arts et Métiers (CNAM), and Université Sorbonne Paris Nord. The authors had no relevant conflicts of interest.

A version of this article appeared on Medscape.com.

TOPLINE:

Beyond the nutritional quality of a diet, the timing of meals is important, with later first and last meals of the day associated with increased risks for cardiovascular diseases (CVDs), especially in women, results of a large prospective study suggested.

METHODOLOGY:

• The study included 103,389 participants, mean baseline age 42.6 years and 79% women, who were volunteers in the ongoing NutriNet-Santé, a cohort study launched in France to better understand the relationship between nutrition and health.
• Participants completed questionnaires that in addition to data on socio-demographics, lifestyle, and physical activity provided information on when foods and beverages were consumed during each day, and they self-reported major health events, including CVDs.
• Researchers assessed associations between time of first meal of the day (before 8 am, 8-9 am, after 9 am) and last meal (before 8 pm, 8-9 pm, after 9 pm), number of eating occasions, and duration of nighttime fasting (12 h or less, 12-13 h, more than 13 h) and the risk for CVD, controlling for a large number of potential confounders, among them age, sex, education, income, smoking, and physical activity level.
• During a median follow-up of 7.2 years, 2036 cases of overall CVD, 988 cases of cerebrovascular disease (stroke, transient ischemic attack), and 1071 cases of coronary heart diseases (myocardial infraction, angina pectoris, acute coronary syndrome, angioplasty) were reported.

TAKEAWAY:

• Each additional hour delaying the time of the first meal of the day was associated with a higher risk for overall CVD (hazard ratio [HR], 1.06; 95% CI, 1.01-1.12; P = .02), with the association stronger in women than in men.
• Each additional hour in delaying the time of the last meal was associated with an increased risk for cerebrovascular disease; here, a last meal after 9 pm was associated with a 28% higher risk than a meal before 8 pm (HR, 1.28; 95% CI, 1.05-1.55; P < .01).
• There was no association between number of eating occasions and either overall CVD or cerebrovascular disease and no association between meal timing or number of eating occasions and risk for coronary heart disease.
• Each hour increase in nighttime fasting was associated with a 7% lower risk for cerebrovascular disease (HR, 0.93; 95% CI, 0.87-0.99; P = .02) but not with a risk for overall CVD or coronary heart disease.

IN PRACTICE:

“Our results suggest a potential benefit of adopting earlier eating timing patterns and coupling a longer nighttime fasting period with an early last meal, rather than breakfast skipping, in CVD prevention,” the authors wrote.

SOURCE:

The study was conducted by Anna Palomar-Cros, Barcelona Institute for Global Health and Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain, and colleagues. It was published online on December 14, 2023, in Nature Communications.

LIMITATIONS:

Information on shift work, exposure to night light, use of recreational drugs, and timing of physical activity, medication or alcohol consumption, all of which are potential disruptors of circadian rhythms, was not available, and sleep time and duration were available for only a subgroup of patients. Unknown or unmeasured potential confounders (eg, being awakened by children) could have contributed to residual confounding. Reverse causation bias linked to change in behaviors in people with poor health having difficulty getting out of bed in the mornings can’t be ruled out. Participants in the NutriNet-Santé cohort are more likely to be women, have a higher socioeconomic status, and healthier behavior patterns than the general population, perhaps limiting extrapolation of results.

DISCLOSURES:

The NutriNet-Santé study is supported by Ministère de la Santé, Santé Publique France, Institut National de la Santé et de la Recherche Médicale (INSERM), Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE), Conservatoire National des Arts et Métiers (CNAM), and Université Sorbonne Paris Nord. The authors had no relevant conflicts of interest.

A version of this article appeared on Medscape.com.

TOPLINE:

Beyond the nutritional quality of a diet, the timing of meals is important, with later first and last meals of the day associated with increased risks for cardiovascular diseases (CVDs), especially in women, results of a large prospective study suggested.

METHODOLOGY:

• The study included 103,389 participants, mean baseline age 42.6 years and 79% women, who were volunteers in the ongoing NutriNet-Santé, a cohort study launched in France to better understand the relationship between nutrition and health.
• Participants completed questionnaires that in addition to data on socio-demographics, lifestyle, and physical activity provided information on when foods and beverages were consumed during each day, and they self-reported major health events, including CVDs.
• Researchers assessed associations between time of first meal of the day (before 8 am, 8-9 am, after 9 am) and last meal (before 8 pm, 8-9 pm, after 9 pm), number of eating occasions, and duration of nighttime fasting (12 h or less, 12-13 h, more than 13 h) and the risk for CVD, controlling for a large number of potential confounders, among them age, sex, education, income, smoking, and physical activity level.
• During a median follow-up of 7.2 years, 2036 cases of overall CVD, 988 cases of cerebrovascular disease (stroke, transient ischemic attack), and 1071 cases of coronary heart diseases (myocardial infraction, angina pectoris, acute coronary syndrome, angioplasty) were reported.

TAKEAWAY:

• Each additional hour delaying the time of the first meal of the day was associated with a higher risk for overall CVD (hazard ratio [HR], 1.06; 95% CI, 1.01-1.12; P = .02), with the association stronger in women than in men.
• Each additional hour in delaying the time of the last meal was associated with an increased risk for cerebrovascular disease; here, a last meal after 9 pm was associated with a 28% higher risk than a meal before 8 pm (HR, 1.28; 95% CI, 1.05-1.55; P < .01).
• There was no association between number of eating occasions and either overall CVD or cerebrovascular disease and no association between meal timing or number of eating occasions and risk for coronary heart disease.
• Each hour increase in nighttime fasting was associated with a 7% lower risk for cerebrovascular disease (HR, 0.93; 95% CI, 0.87-0.99; P = .02) but not with a risk for overall CVD or coronary heart disease.

IN PRACTICE:

“Our results suggest a potential benefit of adopting earlier eating timing patterns and coupling a longer nighttime fasting period with an early last meal, rather than breakfast skipping, in CVD prevention,” the authors wrote.

SOURCE:

The study was conducted by Anna Palomar-Cros, Barcelona Institute for Global Health and Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain, and colleagues. It was published online on December 14, 2023, in Nature Communications.

LIMITATIONS:

Information on shift work, exposure to night light, use of recreational drugs, and timing of physical activity, medication or alcohol consumption, all of which are potential disruptors of circadian rhythms, was not available, and sleep time and duration were available for only a subgroup of patients. Unknown or unmeasured potential confounders (eg, being awakened by children) could have contributed to residual confounding. Reverse causation bias linked to change in behaviors in people with poor health having difficulty getting out of bed in the mornings can’t be ruled out. Participants in the NutriNet-Santé cohort are more likely to be women, have a higher socioeconomic status, and healthier behavior patterns than the general population, perhaps limiting extrapolation of results.

DISCLOSURES:

The NutriNet-Santé study is supported by Ministère de la Santé, Santé Publique France, Institut National de la Santé et de la Recherche Médicale (INSERM), Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE), Conservatoire National des Arts et Métiers (CNAM), and Université Sorbonne Paris Nord. The authors had no relevant conflicts of interest.

A version of this article appeared on Medscape.com.

TOPLINE:

In addition to better known risk factors such as diabetes, stroke, heart disease, and depression, findings of a large study suggested vitamin D deficiency, elevated C-reactive protein (CRP) levels, and social isolation increase the risk for young-onset dementia (YOD).

METHODOLOGY:

• The study included 356,052 participants younger than 65 years (mean baseline age, 54.6 years) without dementia from the UK Biobank, an ongoing prospective cohort study.
• Participants underwent a comprehensive baseline assessment, provided biological samples, completed touch screen questionnaires, and underwent a physical examination.
• Researchers identified incident all-cause YOD cases from hospital inpatient registers or death register linkage.
• The researchers detected 39 potential risk factors and grouped them into domains of sociodemographic, genetic, lifestyle, environmental, vitamin D and CRP levels, cardiometabolic, psychiatric, and other factors.
• Researchers analyzed incidence rates of YOD for 5-year age bands starting at age 40 years and separately for men and women.

TAKEAWAY:

• During a mean follow-up of 8.12 years, there were 485 incident YOD cases (incidence rate of 16.8 per 100,000 person-years; 95% CI 15.4-18.3).
• The final analysis identified 15 risk factors associated with significantly higher incidence of YOD, including traditional factors like stroke (hazard ratio [HR], 2.07), heart disease (HR, 1.61), diabetes (HR, 1.65), and depression (HR, 3.25) but also less-recognized risk factors like vitamin D deficiency (< 10 ng/mL; HR, 1.59), high CRP levels (> 1 mg/dL; HR, 1.54), and social isolation (infrequent visits to friends or family; HR, 1.53), with lower socioeconomic status (HR, 1.82), having two apolipoprotein E epsilon-4 alleles (HR, 1.87), orthostatic hypotension, which the authors said may be an early sign of Parkinson dementia or Lewy body dementia (HR, 4.20), and hearing impairment (HR, 1.56) also increasing risk.
• Interestingly, some alcohol use seemed to be protective (moderate or heavy alcohol use had a lower association with YOD than alcohol abstinence, possibly due to the “healthy drinker effect” where people who drink are healthier than abstainers who may have illnesses preventing them from drinking, said the authors), as was higher education level and higher than normative handgrip strength (less strength is a proxy for physical frailty).
• Men with diabetes had higher YOD risk than those without diabetes, while there was no association with diabetes in women; on the other hand, women with high CRP levels had greater YOD risk than those with low levels, while there was no association with CRP in men.

IN PRACTICE:

“While further exploration of these risk factors is necessary to identify potential underlying mechanisms, addressing these modifiable factors may prove effective in mitigating the risk of developing YOD and can be readily integrated in current dementia prevention initiatives,” the investigators wrote.

SOURCE:

The study was led by Stevie Hendriks, PhD, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands. It was published online in JAMA Neurology.

LIMITATIONS:

The study was observational and so can’t infer causality. Several factors were based on self-reported data, which might be a source of response bias. Factors not considered in the study, for example, family history of dementia and drug (other than alcohol) use disorder, may have confounded associations. Some factors including orthostatic hypotension had few exposed cases, leading to decreased power to detect associations. Hospital and death records may not have captured all YOD cases. The UK Biobank is overrepresented by healthy and White participants, so results may not be generalizable to other racial and ethnic groups. The analyses only focused on all-cause dementia.

DISCLOSURES:

The study was supported by Alzheimer Netherlands. Hendriks has no relevant conflicts of interest; see paper for disclosures of other authors.

A version of this article appeared on Medscape.com.

TOPLINE:

In addition to better known risk factors such as diabetes, stroke, heart disease, and depression, findings of a large study suggested vitamin D deficiency, elevated C-reactive protein (CRP) levels, and social isolation increase the risk for young-onset dementia (YOD).

METHODOLOGY:

• The study included 356,052 participants younger than 65 years (mean baseline age, 54.6 years) without dementia from the UK Biobank, an ongoing prospective cohort study.
• Participants underwent a comprehensive baseline assessment, provided biological samples, completed touch screen questionnaires, and underwent a physical examination.
• Researchers identified incident all-cause YOD cases from hospital inpatient registers or death register linkage.
• The researchers detected 39 potential risk factors and grouped them into domains of sociodemographic, genetic, lifestyle, environmental, vitamin D and CRP levels, cardiometabolic, psychiatric, and other factors.
• Researchers analyzed incidence rates of YOD for 5-year age bands starting at age 40 years and separately for men and women.

TAKEAWAY:

• During a mean follow-up of 8.12 years, there were 485 incident YOD cases (incidence rate of 16.8 per 100,000 person-years; 95% CI 15.4-18.3).
• The final analysis identified 15 risk factors associated with significantly higher incidence of YOD, including traditional factors like stroke (hazard ratio [HR], 2.07), heart disease (HR, 1.61), diabetes (HR, 1.65), and depression (HR, 3.25) but also less-recognized risk factors like vitamin D deficiency (< 10 ng/mL; HR, 1.59), high CRP levels (> 1 mg/dL; HR, 1.54), and social isolation (infrequent visits to friends or family; HR, 1.53), with lower socioeconomic status (HR, 1.82), having two apolipoprotein E epsilon-4 alleles (HR, 1.87), orthostatic hypotension, which the authors said may be an early sign of Parkinson dementia or Lewy body dementia (HR, 4.20), and hearing impairment (HR, 1.56) also increasing risk.
• Interestingly, some alcohol use seemed to be protective (moderate or heavy alcohol use had a lower association with YOD than alcohol abstinence, possibly due to the “healthy drinker effect” where people who drink are healthier than abstainers who may have illnesses preventing them from drinking, said the authors), as was higher education level and higher than normative handgrip strength (less strength is a proxy for physical frailty).
• Men with diabetes had higher YOD risk than those without diabetes, while there was no association with diabetes in women; on the other hand, women with high CRP levels had greater YOD risk than those with low levels, while there was no association with CRP in men.

IN PRACTICE:

“While further exploration of these risk factors is necessary to identify potential underlying mechanisms, addressing these modifiable factors may prove effective in mitigating the risk of developing YOD and can be readily integrated in current dementia prevention initiatives,” the investigators wrote.

SOURCE:

The study was led by Stevie Hendriks, PhD, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands. It was published online in JAMA Neurology.

LIMITATIONS:

The study was observational and so can’t infer causality. Several factors were based on self-reported data, which might be a source of response bias. Factors not considered in the study, for example, family history of dementia and drug (other than alcohol) use disorder, may have confounded associations. Some factors including orthostatic hypotension had few exposed cases, leading to decreased power to detect associations. Hospital and death records may not have captured all YOD cases. The UK Biobank is overrepresented by healthy and White participants, so results may not be generalizable to other racial and ethnic groups. The analyses only focused on all-cause dementia.

DISCLOSURES:

The study was supported by Alzheimer Netherlands. Hendriks has no relevant conflicts of interest; see paper for disclosures of other authors.

A version of this article appeared on Medscape.com.

TOPLINE:

In addition to better known risk factors such as diabetes, stroke, heart disease, and depression, findings of a large study suggested vitamin D deficiency, elevated C-reactive protein (CRP) levels, and social isolation increase the risk for young-onset dementia (YOD).

METHODOLOGY:

• The study included 356,052 participants younger than 65 years (mean baseline age, 54.6 years) without dementia from the UK Biobank, an ongoing prospective cohort study.
• Participants underwent a comprehensive baseline assessment, provided biological samples, completed touch screen questionnaires, and underwent a physical examination.
• Researchers identified incident all-cause YOD cases from hospital inpatient registers or death register linkage.
• The researchers detected 39 potential risk factors and grouped them into domains of sociodemographic, genetic, lifestyle, environmental, vitamin D and CRP levels, cardiometabolic, psychiatric, and other factors.
• Researchers analyzed incidence rates of YOD for 5-year age bands starting at age 40 years and separately for men and women.

TAKEAWAY:

• During a mean follow-up of 8.12 years, there were 485 incident YOD cases (incidence rate of 16.8 per 100,000 person-years; 95% CI 15.4-18.3).
• The final analysis identified 15 risk factors associated with significantly higher incidence of YOD, including traditional factors like stroke (hazard ratio [HR], 2.07), heart disease (HR, 1.61), diabetes (HR, 1.65), and depression (HR, 3.25) but also less-recognized risk factors like vitamin D deficiency (< 10 ng/mL; HR, 1.59), high CRP levels (> 1 mg/dL; HR, 1.54), and social isolation (infrequent visits to friends or family; HR, 1.53), with lower socioeconomic status (HR, 1.82), having two apolipoprotein E epsilon-4 alleles (HR, 1.87), orthostatic hypotension, which the authors said may be an early sign of Parkinson dementia or Lewy body dementia (HR, 4.20), and hearing impairment (HR, 1.56) also increasing risk.
• Interestingly, some alcohol use seemed to be protective (moderate or heavy alcohol use had a lower association with YOD than alcohol abstinence, possibly due to the “healthy drinker effect” where people who drink are healthier than abstainers who may have illnesses preventing them from drinking, said the authors), as was higher education level and higher than normative handgrip strength (less strength is a proxy for physical frailty).
• Men with diabetes had higher YOD risk than those without diabetes, while there was no association with diabetes in women; on the other hand, women with high CRP levels had greater YOD risk than those with low levels, while there was no association with CRP in men.

IN PRACTICE:

“While further exploration of these risk factors is necessary to identify potential underlying mechanisms, addressing these modifiable factors may prove effective in mitigating the risk of developing YOD and can be readily integrated in current dementia prevention initiatives,” the investigators wrote.

SOURCE:

The study was led by Stevie Hendriks, PhD, Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands. It was published online in JAMA Neurology.

LIMITATIONS:

The study was observational and so can’t infer causality. Several factors were based on self-reported data, which might be a source of response bias. Factors not considered in the study, for example, family history of dementia and drug (other than alcohol) use disorder, may have confounded associations. Some factors including orthostatic hypotension had few exposed cases, leading to decreased power to detect associations. Hospital and death records may not have captured all YOD cases. The UK Biobank is overrepresented by healthy and White participants, so results may not be generalizable to other racial and ethnic groups. The analyses only focused on all-cause dementia.

DISCLOSURES:

The study was supported by Alzheimer Netherlands. Hendriks has no relevant conflicts of interest; see paper for disclosures of other authors.

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 — 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.

TOPLINE:

Patients aged 50 years or older with clinically apparent Helicobacter pylori infection (CAHPI) have an 11% increased risk for Alzheimer’s disease (AD), results of a large and lengthy population-based study suggest.

METHODOLOGY: 

• Researchers identified all cases with a first-time diagnosis of AD and matched each AD case to up to 40 AD-free control cases on the basis of age, sex, cohort entry date, and duration of follow-up.
• The exposure of interest was CAHPI, defined based on an algorithm using clinical guidelines and recommendations on the management of H pylori (HP) infection, with researchers focusing on infected individuals presenting with symptoms or developing serious complications from the infection.
• Researchers performed several sensitivity analyses, which included repeating the primary analysis using alternate lag periods, restricting the cohort to participants with AD (not vascular, alcoholic, and unspecified dementia), and using salmonellosis, an infection not previously associated with AD, as a negative control exposure.

TAKEAWAY: 

• Compared with no exposure to CAHPI, exposure to CAHPI was associated with a moderately increased risk for AD (odds ratio [OR], 1.11; 95% CI, 1.01-1.21), with no major effect modification by demographics or socioeconomic status.
• The increased risk peaked 7.3-10.8 years after CAHPI onset (OR, 1.24; 95% CI, 1.05-1.47) before decreasing.
• Sensitivity analyses yielded findings that were overall consistent with those of the primary analysis.
• The analysis with salmonellosis as a negative control exposure showed no association with the risk for AD (OR, 1.03; 95% CI, 0.82-1.29).

IN PRACTICE:

“These results support the notion of HP infection as a potential modifiable risk factor of AD” and “pave the way for future randomized controlled trials that would assess the impact and cost-effectiveness of population-based targeted interventions such as individualized HP eradication programs, on the development of AD,” the authors write.

SOURCE:

The study was conducted by Antonios Douros, Department of Medicine, and Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada, and colleagues. It was published online in Alzheimer’s & Dementia.

LIMITATIONS:

Given the observational nature of the study, residual confounding is possible. Because the exposure definition was on the basis of CAHPI recorded by general practitioners, exposure misclassification due to symptomatic patients not seeking primary care is possible, as is outcome misclassification. The authors can’t rule out the possibility of an association between asymptomatic H pylori infection and AD risk.

DISCLOSURES:

The study received funding from the Canadian Institutes of Health Research. Douros has no relevant conflicts of interest; see paper for disclosures of other authors.

Pauline Anderson has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

TOPLINE:

Patients aged 50 years or older with clinically apparent Helicobacter pylori infection (CAHPI) have an 11% increased risk for Alzheimer’s disease (AD), results of a large and lengthy population-based study suggest.

METHODOLOGY: 

• Researchers identified all cases with a first-time diagnosis of AD and matched each AD case to up to 40 AD-free control cases on the basis of age, sex, cohort entry date, and duration of follow-up.
• The exposure of interest was CAHPI, defined based on an algorithm using clinical guidelines and recommendations on the management of H pylori (HP) infection, with researchers focusing on infected individuals presenting with symptoms or developing serious complications from the infection.
• Researchers performed several sensitivity analyses, which included repeating the primary analysis using alternate lag periods, restricting the cohort to participants with AD (not vascular, alcoholic, and unspecified dementia), and using salmonellosis, an infection not previously associated with AD, as a negative control exposure.

TAKEAWAY: 

• Compared with no exposure to CAHPI, exposure to CAHPI was associated with a moderately increased risk for AD (odds ratio [OR], 1.11; 95% CI, 1.01-1.21), with no major effect modification by demographics or socioeconomic status.
• The increased risk peaked 7.3-10.8 years after CAHPI onset (OR, 1.24; 95% CI, 1.05-1.47) before decreasing.
• Sensitivity analyses yielded findings that were overall consistent with those of the primary analysis.
• The analysis with salmonellosis as a negative control exposure showed no association with the risk for AD (OR, 1.03; 95% CI, 0.82-1.29).

IN PRACTICE:

“These results support the notion of HP infection as a potential modifiable risk factor of AD” and “pave the way for future randomized controlled trials that would assess the impact and cost-effectiveness of population-based targeted interventions such as individualized HP eradication programs, on the development of AD,” the authors write.

SOURCE:

The study was conducted by Antonios Douros, Department of Medicine, and Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada, and colleagues. It was published online in Alzheimer’s & Dementia.

LIMITATIONS:

Given the observational nature of the study, residual confounding is possible. Because the exposure definition was on the basis of CAHPI recorded by general practitioners, exposure misclassification due to symptomatic patients not seeking primary care is possible, as is outcome misclassification. The authors can’t rule out the possibility of an association between asymptomatic H pylori infection and AD risk.

DISCLOSURES:

The study received funding from the Canadian Institutes of Health Research. Douros has no relevant conflicts of interest; see paper for disclosures of other authors.

Pauline Anderson has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

TOPLINE:

Patients aged 50 years or older with clinically apparent Helicobacter pylori infection (CAHPI) have an 11% increased risk for Alzheimer’s disease (AD), results of a large and lengthy population-based study suggest.

METHODOLOGY: 

• Researchers identified all cases with a first-time diagnosis of AD and matched each AD case to up to 40 AD-free control cases on the basis of age, sex, cohort entry date, and duration of follow-up.
• The exposure of interest was CAHPI, defined based on an algorithm using clinical guidelines and recommendations on the management of H pylori (HP) infection, with researchers focusing on infected individuals presenting with symptoms or developing serious complications from the infection.
• Researchers performed several sensitivity analyses, which included repeating the primary analysis using alternate lag periods, restricting the cohort to participants with AD (not vascular, alcoholic, and unspecified dementia), and using salmonellosis, an infection not previously associated with AD, as a negative control exposure.

TAKEAWAY: 

• Compared with no exposure to CAHPI, exposure to CAHPI was associated with a moderately increased risk for AD (odds ratio [OR], 1.11; 95% CI, 1.01-1.21), with no major effect modification by demographics or socioeconomic status.
• The increased risk peaked 7.3-10.8 years after CAHPI onset (OR, 1.24; 95% CI, 1.05-1.47) before decreasing.
• Sensitivity analyses yielded findings that were overall consistent with those of the primary analysis.
• The analysis with salmonellosis as a negative control exposure showed no association with the risk for AD (OR, 1.03; 95% CI, 0.82-1.29).

IN PRACTICE:

“These results support the notion of HP infection as a potential modifiable risk factor of AD” and “pave the way for future randomized controlled trials that would assess the impact and cost-effectiveness of population-based targeted interventions such as individualized HP eradication programs, on the development of AD,” the authors write.

SOURCE:

The study was conducted by Antonios Douros, Department of Medicine, and Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada, and colleagues. It was published online in Alzheimer’s & Dementia.

LIMITATIONS:

Given the observational nature of the study, residual confounding is possible. Because the exposure definition was on the basis of CAHPI recorded by general practitioners, exposure misclassification due to symptomatic patients not seeking primary care is possible, as is outcome misclassification. The authors can’t rule out the possibility of an association between asymptomatic H pylori infection and AD risk.

DISCLOSURES:

The study received funding from the Canadian Institutes of Health Research. Douros has no relevant conflicts of interest; see paper for disclosures of other authors.

Pauline Anderson has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

A digital stethoscope that uses artificial intelligence (AI) is better at detecting heart murmurs associated with clinically significant valvular heart disease (VHD) than is a primary care physician (PCP) using a traditional stethoscope, a new study shows.

The results suggest collecting relevant sounds through a stethoscope (auscultation) using AI-powered technology is an important primary care tool to detect VHD, study author Moshe A. Rancier, MD, medical director, Massachusetts General Brigham Community Physicians, Lawrence, Massachusetts, said in an interview.

“Incorporating this AI-assisted device into the primary care exam will help identify patients at risk for VHD earlier and eventually decrease costs in our healthcare system,” he said, because timely detection could avoid emergency room visits and surgeries.

The findings were presented at the annual scientific sessions of the American Heart Association.
 

VHD Common

Clinically significant VHD, indicating structural damage to heart valves, affects 1 in 10 adults older than 65 years. Patients may be asymptomatic or present to their PCP with an unspecific symptom like fatigue or malaise.

If VHD is undiagnosed and left untreated, patients could develop more severe symptoms, even be at risk for death, and their quality of life is significantly affected, said Dr. Rancier.

Cardiac auscultation, the current point-of-care clinical standard, has relatively low sensitivity for detecting VHD, leaving most patients undiagnosed.

The deep learning–based AI tool uses sound data to detect cardiac murmurs associated with clinically significant VHD. The device used in the study (Eko; Eko Health) is approved by the US Food and Drug Administration and is on the market.

The tool identifies background sounds that might affect the evaluation. “If there’s any noise or breath sounds, it tells me this is not a good heart sound, and asks me to record again,” said Dr. Rancier.

A doctor using the AI-assisted stethoscope carries out the auscultation exam with the sound data captured by a smartphone or tablet and sent to the AI server. “I get an answer in a second as to if there’s a murmur or not,” said Dr. Rancier.

Not only that, but the tool can determine if it’s a systolic or diastolic murmur, he added.
 

Real-World Population

The study enrolled a “real-world” population of 368 patients, median age 70 years, 61% female, 70% White, and 18% Hispanic without a prior VHD diagnosis or history of murmur, from three primary care clinics in Queens, New York, and Lawrence and Haverhill, Massachusetts. 

About 79% of the cohort had hypertension, 68% had dyslipidemia, and 38% had diabetes, “which aligns with the population in the US,” said Dr. Rancier.

Each study participant had a regular exam carried out by Dr. Rancier using a traditional stethoscope to detect murmurs and an exam by a technician with a digital stethoscope that collected phonocardiogram (PCG) data for analysis by AI.

In addition, each patient received an echocardiogram 1-2 weeks later to confirm whether clinically significant VHD was present. An expert panel of cardiologists also reviewed the patient’s PCG recordings to confirm the presence of audible murmurs.

Dr. Rancier and the expert panel were blinded to AI and echocardiogram results.

Researchers calculated performance metrics for both PCP auscultation and the AI in detecting audible VHD.

The study showed that AI improved sensitivity to detect audible VHD by over twofold compared with PCP auscultation (94.1% vs 41.2%), with limited impact on specificity (84.5% vs 95.5%).

Dr. Rancier stressed the importance of sensitivity because clinicians tend to under-detect murmurs. “You don’t want to miss those patients because the consequences of undiagnosed VHD are dire.”

The AI tool identified 22 patients with moderate or greater VHD who were previously undiagnosed, whereas PCPs identified eight previously undiagnosed patients with VHD.

Dr. Rancier sees this tool being used beyond primary care, perhaps by emergency room personnel.

The authors plan to follow study participants and assess outcomes at for 6-12 months. They also aim to include more patients to increase the study’s power.
 

Expanding the Technology

They are also interested to see whether the technology can determine which valve is affected; for example, whether the issue is aortic stenosis or mitral regurgitation.

A limitation of the study was its small sample size.

Commenting on the findings, Dan Roden, MD, professor of medicine, pharmacology, and biomedical informatics, senior vice president for personalized medicine at Vanderbilt University Medical Center, Nashville, Tennessee, and chair of the American Heart Association Council on Genomic and Precision Medicine, noted that it demonstrated the AI-based stethoscope “did extraordinarily well” in predicting VHD. 

“I see this as an emerging technology — using an AI-enabled stethoscope and perhaps combining it with other imaging modalities, like an AI-enabled echocardiogram built into your stethoscope,” said Dr. Roden.

“Use of these new tools to detect the presence of valvular disease, as well as the extent of valvular disease and the extent of other kinds of heart disease, will likely help to transform CVD care.” 

The study was funded by Eko Health Inc. Dr. Rancier and Dr. Roden have no relevant conflicts of interest. 
 

A version of this article appeared on Medscape.com.

A digital stethoscope that uses artificial intelligence (AI) is better at detecting heart murmurs associated with clinically significant valvular heart disease (VHD) than is a primary care physician (PCP) using a traditional stethoscope, a new study shows.

The results suggest collecting relevant sounds through a stethoscope (auscultation) using AI-powered technology is an important primary care tool to detect VHD, study author Moshe A. Rancier, MD, medical director, Massachusetts General Brigham Community Physicians, Lawrence, Massachusetts, said in an interview.

“Incorporating this AI-assisted device into the primary care exam will help identify patients at risk for VHD earlier and eventually decrease costs in our healthcare system,” he said, because timely detection could avoid emergency room visits and surgeries.

The findings were presented at the annual scientific sessions of the American Heart Association.
 

VHD Common

Clinically significant VHD, indicating structural damage to heart valves, affects 1 in 10 adults older than 65 years. Patients may be asymptomatic or present to their PCP with an unspecific symptom like fatigue or malaise.

If VHD is undiagnosed and left untreated, patients could develop more severe symptoms, even be at risk for death, and their quality of life is significantly affected, said Dr. Rancier.

Cardiac auscultation, the current point-of-care clinical standard, has relatively low sensitivity for detecting VHD, leaving most patients undiagnosed.

The deep learning–based AI tool uses sound data to detect cardiac murmurs associated with clinically significant VHD. The device used in the study (Eko; Eko Health) is approved by the US Food and Drug Administration and is on the market.

The tool identifies background sounds that might affect the evaluation. “If there’s any noise or breath sounds, it tells me this is not a good heart sound, and asks me to record again,” said Dr. Rancier.

A doctor using the AI-assisted stethoscope carries out the auscultation exam with the sound data captured by a smartphone or tablet and sent to the AI server. “I get an answer in a second as to if there’s a murmur or not,” said Dr. Rancier.

Not only that, but the tool can determine if it’s a systolic or diastolic murmur, he added.
 

Real-World Population

The study enrolled a “real-world” population of 368 patients, median age 70 years, 61% female, 70% White, and 18% Hispanic without a prior VHD diagnosis or history of murmur, from three primary care clinics in Queens, New York, and Lawrence and Haverhill, Massachusetts. 

About 79% of the cohort had hypertension, 68% had dyslipidemia, and 38% had diabetes, “which aligns with the population in the US,” said Dr. Rancier.

Each study participant had a regular exam carried out by Dr. Rancier using a traditional stethoscope to detect murmurs and an exam by a technician with a digital stethoscope that collected phonocardiogram (PCG) data for analysis by AI.

In addition, each patient received an echocardiogram 1-2 weeks later to confirm whether clinically significant VHD was present. An expert panel of cardiologists also reviewed the patient’s PCG recordings to confirm the presence of audible murmurs.

Dr. Rancier and the expert panel were blinded to AI and echocardiogram results.

Researchers calculated performance metrics for both PCP auscultation and the AI in detecting audible VHD.

The study showed that AI improved sensitivity to detect audible VHD by over twofold compared with PCP auscultation (94.1% vs 41.2%), with limited impact on specificity (84.5% vs 95.5%).

Dr. Rancier stressed the importance of sensitivity because clinicians tend to under-detect murmurs. “You don’t want to miss those patients because the consequences of undiagnosed VHD are dire.”

The AI tool identified 22 patients with moderate or greater VHD who were previously undiagnosed, whereas PCPs identified eight previously undiagnosed patients with VHD.

Dr. Rancier sees this tool being used beyond primary care, perhaps by emergency room personnel.

The authors plan to follow study participants and assess outcomes at for 6-12 months. They also aim to include more patients to increase the study’s power.
 

Expanding the Technology

They are also interested to see whether the technology can determine which valve is affected; for example, whether the issue is aortic stenosis or mitral regurgitation.

A limitation of the study was its small sample size.

Commenting on the findings, Dan Roden, MD, professor of medicine, pharmacology, and biomedical informatics, senior vice president for personalized medicine at Vanderbilt University Medical Center, Nashville, Tennessee, and chair of the American Heart Association Council on Genomic and Precision Medicine, noted that it demonstrated the AI-based stethoscope “did extraordinarily well” in predicting VHD. 

“I see this as an emerging technology — using an AI-enabled stethoscope and perhaps combining it with other imaging modalities, like an AI-enabled echocardiogram built into your stethoscope,” said Dr. Roden.

“Use of these new tools to detect the presence of valvular disease, as well as the extent of valvular disease and the extent of other kinds of heart disease, will likely help to transform CVD care.” 

The study was funded by Eko Health Inc. Dr. Rancier and Dr. Roden have no relevant conflicts of interest. 
 

A version of this article appeared on Medscape.com.

A digital stethoscope that uses artificial intelligence (AI) is better at detecting heart murmurs associated with clinically significant valvular heart disease (VHD) than is a primary care physician (PCP) using a traditional stethoscope, a new study shows.

The results suggest collecting relevant sounds through a stethoscope (auscultation) using AI-powered technology is an important primary care tool to detect VHD, study author Moshe A. Rancier, MD, medical director, Massachusetts General Brigham Community Physicians, Lawrence, Massachusetts, said in an interview.

“Incorporating this AI-assisted device into the primary care exam will help identify patients at risk for VHD earlier and eventually decrease costs in our healthcare system,” he said, because timely detection could avoid emergency room visits and surgeries.

The findings were presented at the annual scientific sessions of the American Heart Association.
 

VHD Common

Clinically significant VHD, indicating structural damage to heart valves, affects 1 in 10 adults older than 65 years. Patients may be asymptomatic or present to their PCP with an unspecific symptom like fatigue or malaise.

If VHD is undiagnosed and left untreated, patients could develop more severe symptoms, even be at risk for death, and their quality of life is significantly affected, said Dr. Rancier.

Cardiac auscultation, the current point-of-care clinical standard, has relatively low sensitivity for detecting VHD, leaving most patients undiagnosed.

The deep learning–based AI tool uses sound data to detect cardiac murmurs associated with clinically significant VHD. The device used in the study (Eko; Eko Health) is approved by the US Food and Drug Administration and is on the market.

The tool identifies background sounds that might affect the evaluation. “If there’s any noise or breath sounds, it tells me this is not a good heart sound, and asks me to record again,” said Dr. Rancier.

A doctor using the AI-assisted stethoscope carries out the auscultation exam with the sound data captured by a smartphone or tablet and sent to the AI server. “I get an answer in a second as to if there’s a murmur or not,” said Dr. Rancier.

Not only that, but the tool can determine if it’s a systolic or diastolic murmur, he added.
 

Real-World Population

The study enrolled a “real-world” population of 368 patients, median age 70 years, 61% female, 70% White, and 18% Hispanic without a prior VHD diagnosis or history of murmur, from three primary care clinics in Queens, New York, and Lawrence and Haverhill, Massachusetts. 

About 79% of the cohort had hypertension, 68% had dyslipidemia, and 38% had diabetes, “which aligns with the population in the US,” said Dr. Rancier.

Each study participant had a regular exam carried out by Dr. Rancier using a traditional stethoscope to detect murmurs and an exam by a technician with a digital stethoscope that collected phonocardiogram (PCG) data for analysis by AI.

In addition, each patient received an echocardiogram 1-2 weeks later to confirm whether clinically significant VHD was present. An expert panel of cardiologists also reviewed the patient’s PCG recordings to confirm the presence of audible murmurs.

Dr. Rancier and the expert panel were blinded to AI and echocardiogram results.

Researchers calculated performance metrics for both PCP auscultation and the AI in detecting audible VHD.

The study showed that AI improved sensitivity to detect audible VHD by over twofold compared with PCP auscultation (94.1% vs 41.2%), with limited impact on specificity (84.5% vs 95.5%).

Dr. Rancier stressed the importance of sensitivity because clinicians tend to under-detect murmurs. “You don’t want to miss those patients because the consequences of undiagnosed VHD are dire.”

The AI tool identified 22 patients with moderate or greater VHD who were previously undiagnosed, whereas PCPs identified eight previously undiagnosed patients with VHD.

Dr. Rancier sees this tool being used beyond primary care, perhaps by emergency room personnel.

The authors plan to follow study participants and assess outcomes at for 6-12 months. They also aim to include more patients to increase the study’s power.
 

Expanding the Technology

They are also interested to see whether the technology can determine which valve is affected; for example, whether the issue is aortic stenosis or mitral regurgitation.

A limitation of the study was its small sample size.

Commenting on the findings, Dan Roden, MD, professor of medicine, pharmacology, and biomedical informatics, senior vice president for personalized medicine at Vanderbilt University Medical Center, Nashville, Tennessee, and chair of the American Heart Association Council on Genomic and Precision Medicine, noted that it demonstrated the AI-based stethoscope “did extraordinarily well” in predicting VHD. 

“I see this as an emerging technology — using an AI-enabled stethoscope and perhaps combining it with other imaging modalities, like an AI-enabled echocardiogram built into your stethoscope,” said Dr. Roden.

“Use of these new tools to detect the presence of valvular disease, as well as the extent of valvular disease and the extent of other kinds of heart disease, will likely help to transform CVD care.” 

The study was funded by Eko Health Inc. Dr. Rancier and Dr. Roden have no relevant conflicts of interest. 
 

A version of this article appeared on Medscape.com.

ORLANDO — A new review adds to growing evidence that the modified Atkins diet (MAD) significantly reduces seizures in adults with drug-resistant epilepsy.

The results of the small new review and meta-analysis suggest that “the MAD may be an effective adjuvant therapy for older patients who have failed anti-seizure medications,” study investigator Aiswarya Raj, MBBS, Aster Malabar Institute of Medical Sciences, Kerala, India, said in an interview.

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

Paucity of Adult Data 

The MAD is a less restrictive hybrid of the ketogenic diet that limits carbohydrate intake and encourages fat consumption. It does not restrict fluids, calories, or proteins and does not require fats to be weighed or measured.

The diet includes fewer carbohydrates than the traditional Atkins diet and places more emphasis on fat intake. Dr. Raj said that the research suggests that the MAD “is a promising therapy in pediatric populations, but there’s not a lot of data in adults.”

Dr. Raj noted that this diet type has not been that popular in patients who clinicians believe might be better treated with drug therapy, possibly because of concern about the cardiac impact of consuming high-fat foods.

After conducting a systematic literature review assessing the efficacy of MAD in adults, the researchers included three randomized controlled trials and four observational studies published from January 2000 to May 2023 in the analysis.

The randomized controlled trials in the review assessed the primary outcome, a greater than 50% seizure reduction, at the end of 2 months, 3 months, and 6 months. In the MAD group, 32.5% of participants had more than a 50% seizure reduction vs 3% in the control group (odds ratio [OR], 12.62; 95% CI, 4.05-39.29; P < .0001).

Four participants who followed the diet achieved complete seizure-freedom compared with no participants in the control group (OR, 16.20; 95% CI, 0.82-318.82; P = .07).

The prospective studies examined this outcome at the end of 1 month or 3 months. In these studies, 41.9% of individuals experienced more than a 50% seizure reduction after 1 month of following the MAD, and 34.2% experienced this reduction after 3 months (OR, 1.41; 95% CI, 0.79-2.52; P = .24), with zero heterogeneity across studies.

It’s difficult to interpret the difference in seizure reduction between 1 and 3 months of therapy, Dr. Raj noted, because “there’s always the issue of compliance when you put a patient on a long-term diet.”

Positive results for MAD in adults were shown in another recent systematic review and meta-analysis published in Seizure: European Journal of Epilepsy.

That analysis included six studies with 575 patients who were randomly assigned to MAD or usual diet (UD) plus standard drug therapy. After an average follow-up of 12 weeks, MAD was associated with a higher rate of 50% or greater reduction in seizure frequency (relative risk [RR], 6.28; 95% CI, 3.52-10.50; P < .001), both in adults with drug-resistant epilepsy (RR, 6.14; 95% CI, 1.15-32.66; P = .033) and children (RR, 6.28; 95% CI, 3.43-11.49; P < .001).

MAD was also associated with a higher seizure freedom rate compared with UD (RR, 5.94; 95% CI, 1.93-18.31; P = .002).
 

Cholesterol Concern

In Dr. Raj’s analysis, there was an increment in blood total cholesterol level after 3 months of MAD (standard mean difference, -0.82; 95% CI, -1.23 to -0.40; P = .0001).

Concern about elevated blood cholesterol affecting coronary artery disease risk may explain why doctors sometimes shy away from recommending the MAD to their adult patients. “Some may not want to take that risk; you don’t want patients to succumb to coronary artery disease,” said Dr. Raj.

She noted that 3 months “is a very short time period,” and studies looking at cholesterol levels at the end of at least 1 year are needed to determine whether levels return to normal.

“We’re seeing a lot of literature now that suggests dietary intake does not really have a link with cholesterol levels,” she said. If this can be proven, “then this is definitely a great therapy.” 

The evidence of cardiovascular safety of the MAD includes a study of 37 patients who showed that although total cholesterol and low-density lipoprotein (LDL) cholesterol increased over the first 3 months of MAD treatment, these values normalized within 1 year of treatment, including in patients treated with MAD for more than 3 years.
 

Primary Diet Recommendation

This news organization asked one of the authors of that study, Mackenzie C. Cervenka, MD, professor of neurology and medical director of the Adult Epilepsy Diet Center, Johns Hopkins Hospital, Baltimore, Maryland, to comment on the new research.

She said that she was “thrilled” to see more evidence showing that this diet therapy can be as effective for adults as for children. “This is a really important message to get out there.”

At her adult epilepsy diet center, the MAD is the “primary” diet recommended for patients who are resistant to seizure medication, not tube fed, and are keen to try diet therapy, said Dr. Cervenka.

In her experience, the likelihood of having a 50% or greater seizure reduction is about 40% among medication-resistant patients, “so very similar to what they reported in that review,” she said.

However, she noted that she emphasizes to patients that “diet therapy is not meant to be monotherapy.”

Dr. Cervenka’s team is examining LDL cholesterol levels as well as LDL particle size in adults who have been on the MAD for 2 years. LDL particle size, she noted, is a better predictor of long-term cardiovascular health. 

No conflicts of interest were reported.
 

A version of this article appeared on Medscape.com.

ORLANDO — A new review adds to growing evidence that the modified Atkins diet (MAD) significantly reduces seizures in adults with drug-resistant epilepsy.

The results of the small new review and meta-analysis suggest that “the MAD may be an effective adjuvant therapy for older patients who have failed anti-seizure medications,” study investigator Aiswarya Raj, MBBS, Aster Malabar Institute of Medical Sciences, Kerala, India, said in an interview.

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

Paucity of Adult Data 

The MAD is a less restrictive hybrid of the ketogenic diet that limits carbohydrate intake and encourages fat consumption. It does not restrict fluids, calories, or proteins and does not require fats to be weighed or measured.

The diet includes fewer carbohydrates than the traditional Atkins diet and places more emphasis on fat intake. Dr. Raj said that the research suggests that the MAD “is a promising therapy in pediatric populations, but there’s not a lot of data in adults.”

Dr. Raj noted that this diet type has not been that popular in patients who clinicians believe might be better treated with drug therapy, possibly because of concern about the cardiac impact of consuming high-fat foods.

After conducting a systematic literature review assessing the efficacy of MAD in adults, the researchers included three randomized controlled trials and four observational studies published from January 2000 to May 2023 in the analysis.

The randomized controlled trials in the review assessed the primary outcome, a greater than 50% seizure reduction, at the end of 2 months, 3 months, and 6 months. In the MAD group, 32.5% of participants had more than a 50% seizure reduction vs 3% in the control group (odds ratio [OR], 12.62; 95% CI, 4.05-39.29; P < .0001).

Four participants who followed the diet achieved complete seizure-freedom compared with no participants in the control group (OR, 16.20; 95% CI, 0.82-318.82; P = .07).

The prospective studies examined this outcome at the end of 1 month or 3 months. In these studies, 41.9% of individuals experienced more than a 50% seizure reduction after 1 month of following the MAD, and 34.2% experienced this reduction after 3 months (OR, 1.41; 95% CI, 0.79-2.52; P = .24), with zero heterogeneity across studies.

It’s difficult to interpret the difference in seizure reduction between 1 and 3 months of therapy, Dr. Raj noted, because “there’s always the issue of compliance when you put a patient on a long-term diet.”

Positive results for MAD in adults were shown in another recent systematic review and meta-analysis published in Seizure: European Journal of Epilepsy.

That analysis included six studies with 575 patients who were randomly assigned to MAD or usual diet (UD) plus standard drug therapy. After an average follow-up of 12 weeks, MAD was associated with a higher rate of 50% or greater reduction in seizure frequency (relative risk [RR], 6.28; 95% CI, 3.52-10.50; P < .001), both in adults with drug-resistant epilepsy (RR, 6.14; 95% CI, 1.15-32.66; P = .033) and children (RR, 6.28; 95% CI, 3.43-11.49; P < .001).

MAD was also associated with a higher seizure freedom rate compared with UD (RR, 5.94; 95% CI, 1.93-18.31; P = .002).
 

Cholesterol Concern

In Dr. Raj’s analysis, there was an increment in blood total cholesterol level after 3 months of MAD (standard mean difference, -0.82; 95% CI, -1.23 to -0.40; P = .0001).

Concern about elevated blood cholesterol affecting coronary artery disease risk may explain why doctors sometimes shy away from recommending the MAD to their adult patients. “Some may not want to take that risk; you don’t want patients to succumb to coronary artery disease,” said Dr. Raj.

She noted that 3 months “is a very short time period,” and studies looking at cholesterol levels at the end of at least 1 year are needed to determine whether levels return to normal.

“We’re seeing a lot of literature now that suggests dietary intake does not really have a link with cholesterol levels,” she said. If this can be proven, “then this is definitely a great therapy.” 

The evidence of cardiovascular safety of the MAD includes a study of 37 patients who showed that although total cholesterol and low-density lipoprotein (LDL) cholesterol increased over the first 3 months of MAD treatment, these values normalized within 1 year of treatment, including in patients treated with MAD for more than 3 years.
 

Primary Diet Recommendation

This news organization asked one of the authors of that study, Mackenzie C. Cervenka, MD, professor of neurology and medical director of the Adult Epilepsy Diet Center, Johns Hopkins Hospital, Baltimore, Maryland, to comment on the new research.

She said that she was “thrilled” to see more evidence showing that this diet therapy can be as effective for adults as for children. “This is a really important message to get out there.”

At her adult epilepsy diet center, the MAD is the “primary” diet recommended for patients who are resistant to seizure medication, not tube fed, and are keen to try diet therapy, said Dr. Cervenka.

In her experience, the likelihood of having a 50% or greater seizure reduction is about 40% among medication-resistant patients, “so very similar to what they reported in that review,” she said.

However, she noted that she emphasizes to patients that “diet therapy is not meant to be monotherapy.”

Dr. Cervenka’s team is examining LDL cholesterol levels as well as LDL particle size in adults who have been on the MAD for 2 years. LDL particle size, she noted, is a better predictor of long-term cardiovascular health. 

No conflicts of interest were reported.
 

A version of this article appeared on Medscape.com.

ORLANDO — A new review adds to growing evidence that the modified Atkins diet (MAD) significantly reduces seizures in adults with drug-resistant epilepsy.

The results of the small new review and meta-analysis suggest that “the MAD may be an effective adjuvant therapy for older patients who have failed anti-seizure medications,” study investigator Aiswarya Raj, MBBS, Aster Malabar Institute of Medical Sciences, Kerala, India, said in an interview.

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

Paucity of Adult Data 

The MAD is a less restrictive hybrid of the ketogenic diet that limits carbohydrate intake and encourages fat consumption. It does not restrict fluids, calories, or proteins and does not require fats to be weighed or measured.

The diet includes fewer carbohydrates than the traditional Atkins diet and places more emphasis on fat intake. Dr. Raj said that the research suggests that the MAD “is a promising therapy in pediatric populations, but there’s not a lot of data in adults.”

Dr. Raj noted that this diet type has not been that popular in patients who clinicians believe might be better treated with drug therapy, possibly because of concern about the cardiac impact of consuming high-fat foods.

After conducting a systematic literature review assessing the efficacy of MAD in adults, the researchers included three randomized controlled trials and four observational studies published from January 2000 to May 2023 in the analysis.

The randomized controlled trials in the review assessed the primary outcome, a greater than 50% seizure reduction, at the end of 2 months, 3 months, and 6 months. In the MAD group, 32.5% of participants had more than a 50% seizure reduction vs 3% in the control group (odds ratio [OR], 12.62; 95% CI, 4.05-39.29; P < .0001).

Four participants who followed the diet achieved complete seizure-freedom compared with no participants in the control group (OR, 16.20; 95% CI, 0.82-318.82; P = .07).

The prospective studies examined this outcome at the end of 1 month or 3 months. In these studies, 41.9% of individuals experienced more than a 50% seizure reduction after 1 month of following the MAD, and 34.2% experienced this reduction after 3 months (OR, 1.41; 95% CI, 0.79-2.52; P = .24), with zero heterogeneity across studies.

It’s difficult to interpret the difference in seizure reduction between 1 and 3 months of therapy, Dr. Raj noted, because “there’s always the issue of compliance when you put a patient on a long-term diet.”

Positive results for MAD in adults were shown in another recent systematic review and meta-analysis published in Seizure: European Journal of Epilepsy.

That analysis included six studies with 575 patients who were randomly assigned to MAD or usual diet (UD) plus standard drug therapy. After an average follow-up of 12 weeks, MAD was associated with a higher rate of 50% or greater reduction in seizure frequency (relative risk [RR], 6.28; 95% CI, 3.52-10.50; P < .001), both in adults with drug-resistant epilepsy (RR, 6.14; 95% CI, 1.15-32.66; P = .033) and children (RR, 6.28; 95% CI, 3.43-11.49; P < .001).

MAD was also associated with a higher seizure freedom rate compared with UD (RR, 5.94; 95% CI, 1.93-18.31; P = .002).
 

Cholesterol Concern

In Dr. Raj’s analysis, there was an increment in blood total cholesterol level after 3 months of MAD (standard mean difference, -0.82; 95% CI, -1.23 to -0.40; P = .0001).

Concern about elevated blood cholesterol affecting coronary artery disease risk may explain why doctors sometimes shy away from recommending the MAD to their adult patients. “Some may not want to take that risk; you don’t want patients to succumb to coronary artery disease,” said Dr. Raj.

She noted that 3 months “is a very short time period,” and studies looking at cholesterol levels at the end of at least 1 year are needed to determine whether levels return to normal.

“We’re seeing a lot of literature now that suggests dietary intake does not really have a link with cholesterol levels,” she said. If this can be proven, “then this is definitely a great therapy.” 

The evidence of cardiovascular safety of the MAD includes a study of 37 patients who showed that although total cholesterol and low-density lipoprotein (LDL) cholesterol increased over the first 3 months of MAD treatment, these values normalized within 1 year of treatment, including in patients treated with MAD for more than 3 years.
 

Primary Diet Recommendation

This news organization asked one of the authors of that study, Mackenzie C. Cervenka, MD, professor of neurology and medical director of the Adult Epilepsy Diet Center, Johns Hopkins Hospital, Baltimore, Maryland, to comment on the new research.

She said that she was “thrilled” to see more evidence showing that this diet therapy can be as effective for adults as for children. “This is a really important message to get out there.”

At her adult epilepsy diet center, the MAD is the “primary” diet recommended for patients who are resistant to seizure medication, not tube fed, and are keen to try diet therapy, said Dr. Cervenka.

In her experience, the likelihood of having a 50% or greater seizure reduction is about 40% among medication-resistant patients, “so very similar to what they reported in that review,” she said.

However, she noted that she emphasizes to patients that “diet therapy is not meant to be monotherapy.”

Dr. Cervenka’s team is examining LDL cholesterol levels as well as LDL particle size in adults who have been on the MAD for 2 years. LDL particle size, she noted, is a better predictor of long-term cardiovascular health. 

No conflicts of interest were reported.
 

A version of this article appeared on Medscape.com.

TOPLINE:

Adults diagnosed with coronary heart disease (CHD) are at an increased risk for dementia, including all-cause dementia, Alzheimer›s disease (AD), and vascular dementia (VD), with the risk highest — at 36% — if onset is before age 45, results of a large observational study show.

METHODOLOGY:

• The study included 432,667 of the more than 500,000 participants in the UK Biobank, with a mean age of 56.9 years, 50,685 (11.7%) of whom had CHD and 50,445 had data on age at CHD onset.
• Researchers divided participants into three groups according to age at CHD onset (below 45 years, 45-59 years, and 60 years and older), and carried out a propensity score matching analysis.
• Outcomes included all-cause dementia, AD, and VD.
• Covariates included age, sex, race, educational level, body mass index, low-density lipoprotein cholesterol, smoking status, alcohol intake, exercise, depressed mood, hypertension, diabetes, statin use, and apolipoprotein E4 status.

TAKEAWAY:

• During a median follow-up of 12.8 years, researchers identified 5876 cases of all-cause dementia, 2540 cases of AD, and 1220 cases of VD.
• Fully adjusted models showed participants with CHD had significantly higher risks than those without CHD of developing all-cause dementia (hazard ratio [HR], 1.36; 95% CI, 1.28-1.45; P < .001), AD (HR, 1.13; 95% CI, 1.02-1.24; P = .019), and VD (HR, 1.78; 95% CI, 1.56-2.02; P < .001). The higher risk for VD suggests CHD has a more profound influence on neuropathologic changes involved in this dementia type, said the authors.
• Those with CHD diagnosed at a younger age had higher risks of developing dementia (HR per 10-year decrease in age, 1.25; 95% CI, 1.20-1.30 for all-cause dementia, 1.29; 95% CI, 1.20-1.38 for AD, and 1.22; 95% CI, 1.13-1.31 for VD; P for all < .001).
• Propensity score matching analysis showed patients with CHD had significantly higher risks for dementia compared with matched controls, with the highest risk seen in patients diagnosed before age 45 (HR, 2.40; 95% CI, 1.79-3.20; P < .001), followed by those diagnosed between 45 and 59 years (HR, 1.46; 95% CI, 1.32-1.62; P < .001) and at or above 60 years (HR, 1.11; 95% CI, 1.03-1.19; P = .005), with similar results for AD and VD.

IN PRACTICE:

The findings suggest “additional attention should be paid to the cognitive status of patients with CHD, especially the ones diagnosed with CHD at a young age,” the authors conclude, noting that “timely intervention, such as cognitive training, could be implemented once signs of cognitive deteriorations are detected.”

SOURCE:

The study was conducted by Jie Liang, BS, School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, and colleagues. It was published online on November 29, 2023, in the Journal of the American Heart Association.

LIMITATIONS:

As this is an observational study, it can’t conclude a causal relationship. Although the authors adjusted for many potential confounders, unknown risk factors that also contribute to CHD can’t be ruled out. As the study excluded 69,744 participants, selection bias is possible. The study included a mostly White population.

DISCLOSURES:

The study was supported by the National Natural Science Foundation of China, the Non-Profit Central Research Institute Fund of the Chinese Academy of Medical Sciences, and the China Medical Board. The authors have no relevant conflicts of interest.

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

TOPLINE:

Adults diagnosed with coronary heart disease (CHD) are at an increased risk for dementia, including all-cause dementia, Alzheimer›s disease (AD), and vascular dementia (VD), with the risk highest — at 36% — if onset is before age 45, results of a large observational study show.

METHODOLOGY:

• The study included 432,667 of the more than 500,000 participants in the UK Biobank, with a mean age of 56.9 years, 50,685 (11.7%) of whom had CHD and 50,445 had data on age at CHD onset.
• Researchers divided participants into three groups according to age at CHD onset (below 45 years, 45-59 years, and 60 years and older), and carried out a propensity score matching analysis.
• Outcomes included all-cause dementia, AD, and VD.
• Covariates included age, sex, race, educational level, body mass index, low-density lipoprotein cholesterol, smoking status, alcohol intake, exercise, depressed mood, hypertension, diabetes, statin use, and apolipoprotein E4 status.

TAKEAWAY:

• During a median follow-up of 12.8 years, researchers identified 5876 cases of all-cause dementia, 2540 cases of AD, and 1220 cases of VD.
• Fully adjusted models showed participants with CHD had significantly higher risks than those without CHD of developing all-cause dementia (hazard ratio [HR], 1.36; 95% CI, 1.28-1.45; P < .001), AD (HR, 1.13; 95% CI, 1.02-1.24; P = .019), and VD (HR, 1.78; 95% CI, 1.56-2.02; P < .001). The higher risk for VD suggests CHD has a more profound influence on neuropathologic changes involved in this dementia type, said the authors.
• Those with CHD diagnosed at a younger age had higher risks of developing dementia (HR per 10-year decrease in age, 1.25; 95% CI, 1.20-1.30 for all-cause dementia, 1.29; 95% CI, 1.20-1.38 for AD, and 1.22; 95% CI, 1.13-1.31 for VD; P for all < .001).
• Propensity score matching analysis showed patients with CHD had significantly higher risks for dementia compared with matched controls, with the highest risk seen in patients diagnosed before age 45 (HR, 2.40; 95% CI, 1.79-3.20; P < .001), followed by those diagnosed between 45 and 59 years (HR, 1.46; 95% CI, 1.32-1.62; P < .001) and at or above 60 years (HR, 1.11; 95% CI, 1.03-1.19; P = .005), with similar results for AD and VD.

IN PRACTICE:

The findings suggest “additional attention should be paid to the cognitive status of patients with CHD, especially the ones diagnosed with CHD at a young age,” the authors conclude, noting that “timely intervention, such as cognitive training, could be implemented once signs of cognitive deteriorations are detected.”

SOURCE:

The study was conducted by Jie Liang, BS, School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, and colleagues. It was published online on November 29, 2023, in the Journal of the American Heart Association.

LIMITATIONS:

As this is an observational study, it can’t conclude a causal relationship. Although the authors adjusted for many potential confounders, unknown risk factors that also contribute to CHD can’t be ruled out. As the study excluded 69,744 participants, selection bias is possible. The study included a mostly White population.

DISCLOSURES:

The study was supported by the National Natural Science Foundation of China, the Non-Profit Central Research Institute Fund of the Chinese Academy of Medical Sciences, and the China Medical Board. The authors have no relevant conflicts of interest.

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

TOPLINE:

Adults diagnosed with coronary heart disease (CHD) are at an increased risk for dementia, including all-cause dementia, Alzheimer›s disease (AD), and vascular dementia (VD), with the risk highest — at 36% — if onset is before age 45, results of a large observational study show.

METHODOLOGY:

• The study included 432,667 of the more than 500,000 participants in the UK Biobank, with a mean age of 56.9 years, 50,685 (11.7%) of whom had CHD and 50,445 had data on age at CHD onset.
• Researchers divided participants into three groups according to age at CHD onset (below 45 years, 45-59 years, and 60 years and older), and carried out a propensity score matching analysis.
• Outcomes included all-cause dementia, AD, and VD.
• Covariates included age, sex, race, educational level, body mass index, low-density lipoprotein cholesterol, smoking status, alcohol intake, exercise, depressed mood, hypertension, diabetes, statin use, and apolipoprotein E4 status.

TAKEAWAY:

• During a median follow-up of 12.8 years, researchers identified 5876 cases of all-cause dementia, 2540 cases of AD, and 1220 cases of VD.
• Fully adjusted models showed participants with CHD had significantly higher risks than those without CHD of developing all-cause dementia (hazard ratio [HR], 1.36; 95% CI, 1.28-1.45; P < .001), AD (HR, 1.13; 95% CI, 1.02-1.24; P = .019), and VD (HR, 1.78; 95% CI, 1.56-2.02; P < .001). The higher risk for VD suggests CHD has a more profound influence on neuropathologic changes involved in this dementia type, said the authors.
• Those with CHD diagnosed at a younger age had higher risks of developing dementia (HR per 10-year decrease in age, 1.25; 95% CI, 1.20-1.30 for all-cause dementia, 1.29; 95% CI, 1.20-1.38 for AD, and 1.22; 95% CI, 1.13-1.31 for VD; P for all < .001).
• Propensity score matching analysis showed patients with CHD had significantly higher risks for dementia compared with matched controls, with the highest risk seen in patients diagnosed before age 45 (HR, 2.40; 95% CI, 1.79-3.20; P < .001), followed by those diagnosed between 45 and 59 years (HR, 1.46; 95% CI, 1.32-1.62; P < .001) and at or above 60 years (HR, 1.11; 95% CI, 1.03-1.19; P = .005), with similar results for AD and VD.

IN PRACTICE:

The findings suggest “additional attention should be paid to the cognitive status of patients with CHD, especially the ones diagnosed with CHD at a young age,” the authors conclude, noting that “timely intervention, such as cognitive training, could be implemented once signs of cognitive deteriorations are detected.”

SOURCE:

The study was conducted by Jie Liang, BS, School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, and colleagues. It was published online on November 29, 2023, in the Journal of the American Heart Association.

LIMITATIONS:

As this is an observational study, it can’t conclude a causal relationship. Although the authors adjusted for many potential confounders, unknown risk factors that also contribute to CHD can’t be ruled out. As the study excluded 69,744 participants, selection bias is possible. The study included a mostly White population.

DISCLOSURES:

The study was supported by the National Natural Science Foundation of China, the Non-Profit Central Research Institute Fund of the Chinese Academy of Medical Sciences, and the China Medical Board. The authors have no relevant conflicts of interest.

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

ORLANDO — Older people with epilepsy who live in deprived neighborhoods with lower socioeconomic status, fewer educational opportunities, and less access to health care have poorer memory, executive function, and processing speed than those living in more affluent areas, early research suggests.

Seniors with epilepsy present with multiple comorbidities, including, for example, hypertension and diabetes, and they are at increased risk of developing dementia, said study investigator Anny Reyes, PhD, a postdoctoral scholar at the University of California at San Diego.

Past research has shown neighborhood disadvantage is associated with numerous adverse health outcomes, including an increased risk for developing Alzheimer’s disease and related dementias (ADRD).

“We already know epilepsy on its own increases risks for dementia, and when you add disadvantaged to that, it’s going to increase the risk even more,” said Dr. Reyes.

Neurologists should ask their older patients with epilepsy, many of whom live alone, about food insecurity and access to resources “not just within the hospital system but also within their community,” she said.

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

Proxy Measure of Disadvantage

The incidence and prevalence of epilepsy increases with age. Older adults represent the fastest growing segment of individuals with epilepsy, said Dr. Reyes.

The new study included 40 patients with focal epilepsy, average age 67 years, from three areas: San Diego, California; Madison, Wisconsin; and Cleveland, Ohio.

Researchers collected clinical and sociodemographic information as well as vascular biomarkers. They also gathered individual-level data, including income, parental education levels, details on childhood upbringing, etc.

Using residential addresses, investigators determined the area deprivation index (ADI) value for study participants. The ADI is a proxy measure for neighborhood-level socioeconomic disadvantage that captures factors such a poverty, employment, housing, and education opportunities.

ADI values range from 1 to 10, with a higher number indicating greater neighborhood disadvantage. About 30% of the cohort had an ADI decile greater than 6.

Researchers divided subjects into Most Disadvantaged (ADI greater than 7) and Least Disadvantaged (AD 7 or less). The two groups were similar with regard to age, education level, and race/ethnicity.

But those from the most disadvantaged areas were younger, taking more antiseizure medications, had fewer years of education, lower levels of father’s education, less personal and family income, and were less likely to be diagnosed with hypertension.

Study subjects completed neuropsychological testing, including:

• Measures of learning (Rey Auditory Verbal Learning Test [RAVLT] Learning Over Trials; Wechsler Memory Scale 4th Edition [WMS-4] Logical Memory [LM] Story B immediate; and WMS-4 Visual Reproduction [VR] immediate)
• Memory (RAVLT delayed recall, WMS-4 LM delayed recall, and WMS-4 VR delayed recall)
• Language (Multilingual Naming Test, Auditory Naming Test, and animal fluency)
• Executive function/processing speed (Letter fluency and Trail-Making Test Parts A and B)

The study found a correlation between higher ADI (most disadvantaged) and poorer performance on learning (Spearman rho: -0.433; 95% CI -0.664 to -0.126; P = .006), memory (r = -0.496; 95% CI -0.707 to -0.205; P = .001), and executive function/processes speed (r = -0.315; 95% CI -0.577 to 0.006; P = .048), but no significant association with language.

Looking at individual-level data, the study found memory and processing speed “were driving the relationship, and again, patients had worse performance when they were coming from the most disadvantaged neighborhoods,” said Dr. Reyes.

The investigators also examined mood, including depression and anxiety, and subjective complaints of cognitive problems. “We found those patients residing in the most disadvantaged neighborhoods complained more about memory problems,” she said.

The results underscore the need for community-level interventions “that could provide resources in support of these older adults and their families and connect them to services we know are good for brain health,” said Dr. Reyes.

Alzheimer’s disease experts “have done a really good job of this, but this is new for epilepsy,” she added. “This gives us a great opportunity to kind of bridge the worlds of dementia and epilepsy.”
 

Novel Research

Commenting on the research, Rani Sarkis, MD, assistant professor of neurology, Brigham and Women’s Hospital, Boston, said the study is “very useful” as it ties social determinants of health to cognition.

“We have not been doing that” in people with epilepsy, he said.

The study, one of the first to look at the link between disadvantaged neighborhoods and cognitive impairment, “has very important” public health implications, including the need to consider access to activities that promote cognitive resilience and other brain health initiatives, said Dr. Sarkis.

Another larger study that looked at neighborhood deprivation and cognition in epilepsy was also presented at the AES meeting and published earlier this year in the journal Neurology.

That study included 800 patients with pharmaco-resistant temporal lobe epilepsy being evaluated for surgery at the Cleveland Clinic, mean age about 38 years. It examined numerous cognitive domains as well as depression and anxiety in relation to ADI generated by patient addresses and split into quintiles from least to most disadvantaged.

After controlling for covariants, the study found scores for all cognitive domains were significantly worse in the most disadvantaged quintile except for executive function, which was close to reaching significance (P = .052), said lead author Robyn M. Busch, PhD, a clinical neuropsychologist in the Epilepsy Center, Department of Neurology, Cleveland Clinic.

The study also found people in the most disadvantaged areas had more symptoms of depression and anxiety compared with people in the least disadvantaged areas, said Busch.
 

A Complex Issue

Although the exact mechanism tying disadvantaged areas to cognition in epilepsy isn’t fully understood, having less access to health care and educational opportunities, poor nutrition, and being under chronic stress “are all things that affect the brain,” said Dr. Busch.

“This is super complex and it’s going to be really difficult to tease apart, but we’d like to look at imaging data to see if it’s something structural, if there are functional changes in the brain or something that might help us understand this better.”

But it’s also possible that having epilepsy “might be pushing people into environments” that offer fewer employment and educational opportunities and less access to resources, she said.

The study authors and Dr. Sarkis report no relevant financial relationships.

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

ORLANDO — Older people with epilepsy who live in deprived neighborhoods with lower socioeconomic status, fewer educational opportunities, and less access to health care have poorer memory, executive function, and processing speed than those living in more affluent areas, early research suggests.

Seniors with epilepsy present with multiple comorbidities, including, for example, hypertension and diabetes, and they are at increased risk of developing dementia, said study investigator Anny Reyes, PhD, a postdoctoral scholar at the University of California at San Diego.

Past research has shown neighborhood disadvantage is associated with numerous adverse health outcomes, including an increased risk for developing Alzheimer’s disease and related dementias (ADRD).

“We already know epilepsy on its own increases risks for dementia, and when you add disadvantaged to that, it’s going to increase the risk even more,” said Dr. Reyes.

Neurologists should ask their older patients with epilepsy, many of whom live alone, about food insecurity and access to resources “not just within the hospital system but also within their community,” she said.

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

Proxy Measure of Disadvantage

The incidence and prevalence of epilepsy increases with age. Older adults represent the fastest growing segment of individuals with epilepsy, said Dr. Reyes.

The new study included 40 patients with focal epilepsy, average age 67 years, from three areas: San Diego, California; Madison, Wisconsin; and Cleveland, Ohio.

Researchers collected clinical and sociodemographic information as well as vascular biomarkers. They also gathered individual-level data, including income, parental education levels, details on childhood upbringing, etc.

Using residential addresses, investigators determined the area deprivation index (ADI) value for study participants. The ADI is a proxy measure for neighborhood-level socioeconomic disadvantage that captures factors such a poverty, employment, housing, and education opportunities.

ADI values range from 1 to 10, with a higher number indicating greater neighborhood disadvantage. About 30% of the cohort had an ADI decile greater than 6.

Researchers divided subjects into Most Disadvantaged (ADI greater than 7) and Least Disadvantaged (AD 7 or less). The two groups were similar with regard to age, education level, and race/ethnicity.

But those from the most disadvantaged areas were younger, taking more antiseizure medications, had fewer years of education, lower levels of father’s education, less personal and family income, and were less likely to be diagnosed with hypertension.

Study subjects completed neuropsychological testing, including:

• Measures of learning (Rey Auditory Verbal Learning Test [RAVLT] Learning Over Trials; Wechsler Memory Scale 4th Edition [WMS-4] Logical Memory [LM] Story B immediate; and WMS-4 Visual Reproduction [VR] immediate)
• Memory (RAVLT delayed recall, WMS-4 LM delayed recall, and WMS-4 VR delayed recall)
• Language (Multilingual Naming Test, Auditory Naming Test, and animal fluency)
• Executive function/processing speed (Letter fluency and Trail-Making Test Parts A and B)

The study found a correlation between higher ADI (most disadvantaged) and poorer performance on learning (Spearman rho: -0.433; 95% CI -0.664 to -0.126; P = .006), memory (r = -0.496; 95% CI -0.707 to -0.205; P = .001), and executive function/processes speed (r = -0.315; 95% CI -0.577 to 0.006; P = .048), but no significant association with language.

Looking at individual-level data, the study found memory and processing speed “were driving the relationship, and again, patients had worse performance when they were coming from the most disadvantaged neighborhoods,” said Dr. Reyes.

The investigators also examined mood, including depression and anxiety, and subjective complaints of cognitive problems. “We found those patients residing in the most disadvantaged neighborhoods complained more about memory problems,” she said.

The results underscore the need for community-level interventions “that could provide resources in support of these older adults and their families and connect them to services we know are good for brain health,” said Dr. Reyes.

Alzheimer’s disease experts “have done a really good job of this, but this is new for epilepsy,” she added. “This gives us a great opportunity to kind of bridge the worlds of dementia and epilepsy.”
 

Novel Research

Commenting on the research, Rani Sarkis, MD, assistant professor of neurology, Brigham and Women’s Hospital, Boston, said the study is “very useful” as it ties social determinants of health to cognition.

“We have not been doing that” in people with epilepsy, he said.

The study, one of the first to look at the link between disadvantaged neighborhoods and cognitive impairment, “has very important” public health implications, including the need to consider access to activities that promote cognitive resilience and other brain health initiatives, said Dr. Sarkis.

Another larger study that looked at neighborhood deprivation and cognition in epilepsy was also presented at the AES meeting and published earlier this year in the journal Neurology.

That study included 800 patients with pharmaco-resistant temporal lobe epilepsy being evaluated for surgery at the Cleveland Clinic, mean age about 38 years. It examined numerous cognitive domains as well as depression and anxiety in relation to ADI generated by patient addresses and split into quintiles from least to most disadvantaged.

After controlling for covariants, the study found scores for all cognitive domains were significantly worse in the most disadvantaged quintile except for executive function, which was close to reaching significance (P = .052), said lead author Robyn M. Busch, PhD, a clinical neuropsychologist in the Epilepsy Center, Department of Neurology, Cleveland Clinic.

The study also found people in the most disadvantaged areas had more symptoms of depression and anxiety compared with people in the least disadvantaged areas, said Busch.
 

A Complex Issue

Although the exact mechanism tying disadvantaged areas to cognition in epilepsy isn’t fully understood, having less access to health care and educational opportunities, poor nutrition, and being under chronic stress “are all things that affect the brain,” said Dr. Busch.

“This is super complex and it’s going to be really difficult to tease apart, but we’d like to look at imaging data to see if it’s something structural, if there are functional changes in the brain or something that might help us understand this better.”

But it’s also possible that having epilepsy “might be pushing people into environments” that offer fewer employment and educational opportunities and less access to resources, she said.

The study authors and Dr. Sarkis report no relevant financial relationships.

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

ORLANDO — Older people with epilepsy who live in deprived neighborhoods with lower socioeconomic status, fewer educational opportunities, and less access to health care have poorer memory, executive function, and processing speed than those living in more affluent areas, early research suggests.

Seniors with epilepsy present with multiple comorbidities, including, for example, hypertension and diabetes, and they are at increased risk of developing dementia, said study investigator Anny Reyes, PhD, a postdoctoral scholar at the University of California at San Diego.

Past research has shown neighborhood disadvantage is associated with numerous adverse health outcomes, including an increased risk for developing Alzheimer’s disease and related dementias (ADRD).

“We already know epilepsy on its own increases risks for dementia, and when you add disadvantaged to that, it’s going to increase the risk even more,” said Dr. Reyes.

Neurologists should ask their older patients with epilepsy, many of whom live alone, about food insecurity and access to resources “not just within the hospital system but also within their community,” she said.

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

Proxy Measure of Disadvantage

The incidence and prevalence of epilepsy increases with age. Older adults represent the fastest growing segment of individuals with epilepsy, said Dr. Reyes.

The new study included 40 patients with focal epilepsy, average age 67 years, from three areas: San Diego, California; Madison, Wisconsin; and Cleveland, Ohio.

Researchers collected clinical and sociodemographic information as well as vascular biomarkers. They also gathered individual-level data, including income, parental education levels, details on childhood upbringing, etc.

Using residential addresses, investigators determined the area deprivation index (ADI) value for study participants. The ADI is a proxy measure for neighborhood-level socioeconomic disadvantage that captures factors such a poverty, employment, housing, and education opportunities.

ADI values range from 1 to 10, with a higher number indicating greater neighborhood disadvantage. About 30% of the cohort had an ADI decile greater than 6.

Researchers divided subjects into Most Disadvantaged (ADI greater than 7) and Least Disadvantaged (AD 7 or less). The two groups were similar with regard to age, education level, and race/ethnicity.

But those from the most disadvantaged areas were younger, taking more antiseizure medications, had fewer years of education, lower levels of father’s education, less personal and family income, and were less likely to be diagnosed with hypertension.

Study subjects completed neuropsychological testing, including:

• Measures of learning (Rey Auditory Verbal Learning Test [RAVLT] Learning Over Trials; Wechsler Memory Scale 4th Edition [WMS-4] Logical Memory [LM] Story B immediate; and WMS-4 Visual Reproduction [VR] immediate)
• Memory (RAVLT delayed recall, WMS-4 LM delayed recall, and WMS-4 VR delayed recall)
• Language (Multilingual Naming Test, Auditory Naming Test, and animal fluency)
• Executive function/processing speed (Letter fluency and Trail-Making Test Parts A and B)

The study found a correlation between higher ADI (most disadvantaged) and poorer performance on learning (Spearman rho: -0.433; 95% CI -0.664 to -0.126; P = .006), memory (r = -0.496; 95% CI -0.707 to -0.205; P = .001), and executive function/processes speed (r = -0.315; 95% CI -0.577 to 0.006; P = .048), but no significant association with language.

Looking at individual-level data, the study found memory and processing speed “were driving the relationship, and again, patients had worse performance when they were coming from the most disadvantaged neighborhoods,” said Dr. Reyes.

The investigators also examined mood, including depression and anxiety, and subjective complaints of cognitive problems. “We found those patients residing in the most disadvantaged neighborhoods complained more about memory problems,” she said.

The results underscore the need for community-level interventions “that could provide resources in support of these older adults and their families and connect them to services we know are good for brain health,” said Dr. Reyes.

Alzheimer’s disease experts “have done a really good job of this, but this is new for epilepsy,” she added. “This gives us a great opportunity to kind of bridge the worlds of dementia and epilepsy.”
 

Novel Research

Commenting on the research, Rani Sarkis, MD, assistant professor of neurology, Brigham and Women’s Hospital, Boston, said the study is “very useful” as it ties social determinants of health to cognition.

“We have not been doing that” in people with epilepsy, he said.

The study, one of the first to look at the link between disadvantaged neighborhoods and cognitive impairment, “has very important” public health implications, including the need to consider access to activities that promote cognitive resilience and other brain health initiatives, said Dr. Sarkis.

Another larger study that looked at neighborhood deprivation and cognition in epilepsy was also presented at the AES meeting and published earlier this year in the journal Neurology.

That study included 800 patients with pharmaco-resistant temporal lobe epilepsy being evaluated for surgery at the Cleveland Clinic, mean age about 38 years. It examined numerous cognitive domains as well as depression and anxiety in relation to ADI generated by patient addresses and split into quintiles from least to most disadvantaged.

After controlling for covariants, the study found scores for all cognitive domains were significantly worse in the most disadvantaged quintile except for executive function, which was close to reaching significance (P = .052), said lead author Robyn M. Busch, PhD, a clinical neuropsychologist in the Epilepsy Center, Department of Neurology, Cleveland Clinic.

The study also found people in the most disadvantaged areas had more symptoms of depression and anxiety compared with people in the least disadvantaged areas, said Busch.
 

A Complex Issue

Although the exact mechanism tying disadvantaged areas to cognition in epilepsy isn’t fully understood, having less access to health care and educational opportunities, poor nutrition, and being under chronic stress “are all things that affect the brain,” said Dr. Busch.

“This is super complex and it’s going to be really difficult to tease apart, but we’d like to look at imaging data to see if it’s something structural, if there are functional changes in the brain or something that might help us understand this better.”

But it’s also possible that having epilepsy “might be pushing people into environments” that offer fewer employment and educational opportunities and less access to resources, she said.

The study authors and Dr. Sarkis report no relevant financial relationships.

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

ORLANDO — Genetic testing is warranted in patients with epilepsy of unknown origin, new research suggests. Investigators found that pathogenic genetic variants were identified in over 40% of patients with epilepsy of unknown cause who underwent genetic testing.

Such testing is particularly beneficial for those with early-onset epilepsy and those with comorbid developmental delay, said study investigator Yi Li, MD, PhD, clinical assistant professor, Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, California. 

But every patient with epilepsy of unknown etiology needs to consider genetic testing as part of their standard workup.

Dr. Li noted research showing that a diagnosis of a genetic epilepsy leads to alteration of treatment in about 20% of cases — for example, starting a specific antiseizure medication or avoiding a treatment such as a sodium channel blocker in patients diagnosed with Dravet syndrome. A genetic diagnosis also may make patients eligible for clinical trials investigating gene therapies. 

Genetic testing results may end a long and exhausting “diagnostic odyssey” that families have been on, she said. Patients often wait more than a decade to get genetic testing, the study found.

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

Major Delays

About 20%-30% of epilepsy is caused by acquired conditions such as stroke, tumor, or head injury. The remaining 70%-80% is believed to be due to one or more genetic factors.

Genetic testing has become standard for children with early-onset epilepsy, but it’s not common practice among adults with the condition — at least not yet.

The retrospective study involved a chart review of patient electronic health records from 2018-2023. Researchers used the Stanford electronic health record Cohort Discovery tool (STARR) database to identify 286 patients over age 16 years with epilepsy who had records of genetic testing.

Of the 286 patients, 148 were male and 138 female, and mean age was approximately 30 years. Among those with known epilepsy types, 53.6% had focal epilepsy and 28.8% had generalized epilpesy.

The mean age of seizure onset was 11.9 years, but the mean age at genetic testing was 25.1 years. “There’s a gap of about 13 or 14 years for genetic workup after a patient has a first seizure,” said Dr. Li.

Such a “huge delay” means patients may miss out on “potential precision treatment choices,” she said.

And having a diagnosis can connect patients to others with the same condition as well as to related organizations and communities that offer support, she added.

Types of genetic testing identified in the study included panel testing, which looks at the genes associated with epilepsy; whole exome sequencing (WES), which includes all 20,000 genes in one test; and microarray testing, which assesses missing sections of chromosomes. WES had the highest diagnostic yield (48%), followed by genetic panel testing (32.7%) and microarray testing (20.9%).

These tests collectively identified pathogenic variants in 40.9% of patients. In addition, test results showed that 53.10% of patients had variants of uncertain significance.

In the full cohort, the most commonly identified variants were mutations in TSC1 (which causes tuberous sclerosis, SCN1A (which causes Dravet syndrome), and MECP2. Among patients with seizure onset after age 1 year, MECP2 and DEPDC5 were the two most commonly identified pathogenic variants.

Researchers examined factors possibly associated with a higher risk for genetic epilepsy, including family history, comorbid developmental delay, febrile seizures, status epilepticus, perinatal injury, and seizure onset age. In an adjusted analysis, comorbid developmental delay (estimate 2.338; 95% confidence interval [CI], 1.402-3.900; P =.001) and seizure onset before 1 year (estimate 2.365; 95% CI, 1.282-4.366; P =.006) predicted higher yield of pathogenic variants related to epilepsy.

Dr. Li noted that study participants with a family history of epilepsy were not more likely to test positive for a genetic link, so doctors shouldn’t rule out testing in patients if there’s no family history.

Both the International League Against Epilepsy (ILAE) and the National Society of Genetic Counselors (NSGC) recommend genetic testing in adult epilepsy patients, with the AES endorsing the NSGC guideline.

Although testing is becoming increasingly accessible, insurance companies don’t always cover the cost.

Dr. Li said she hopes her research raises awareness among clinicians that there’s more they can do to improve care for epilepsy patients. “We should offer patients genetic testing if we don’t have a clear etiology.”
 

Valuable Evidence

Commenting on the research findings, Annapurna Poduri, MD, MPH, director, Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts, said this research “is incredibly important.”

“What’s really telling about this study and others that have come up over the last few years is they’re real-world retrospective studies, so they’re looking back at patients who have been seen over many, many years.”

The research provides clinicians, insurance companies, and others with evidence that genetic testing is “valuable and can actually improve outcomes,” said Dr. Poduri.

She noted that 20 years ago, there were only a handful of genes identified as being involved with epilepsy, most related to sodium or potassium channels. But since then, “the technology has just raced ahead” to the point where now “dozens of genes” have been identified.

Not only does knowing the genetic basis of epilepsy improve management, but it offers families some peace of mind. “They blame themselves” for their loved one’s condition, said Dr. Poduri. “They may worry it was something they did in pregnancy; for example, maybe it was because [they] didn’t take that vitamin one day.”

Diagnostic certainty also means that patients “don’t have to do more tests which might be invasive” and unnecessarily costly.

Drs. Li and Poduri report no relevant conflicts of interest.

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

ORLANDO — Genetic testing is warranted in patients with epilepsy of unknown origin, new research suggests. Investigators found that pathogenic genetic variants were identified in over 40% of patients with epilepsy of unknown cause who underwent genetic testing.

Such testing is particularly beneficial for those with early-onset epilepsy and those with comorbid developmental delay, said study investigator Yi Li, MD, PhD, clinical assistant professor, Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, California. 

But every patient with epilepsy of unknown etiology needs to consider genetic testing as part of their standard workup.

Dr. Li noted research showing that a diagnosis of a genetic epilepsy leads to alteration of treatment in about 20% of cases — for example, starting a specific antiseizure medication or avoiding a treatment such as a sodium channel blocker in patients diagnosed with Dravet syndrome. A genetic diagnosis also may make patients eligible for clinical trials investigating gene therapies. 

Genetic testing results may end a long and exhausting “diagnostic odyssey” that families have been on, she said. Patients often wait more than a decade to get genetic testing, the study found.

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

Major Delays

About 20%-30% of epilepsy is caused by acquired conditions such as stroke, tumor, or head injury. The remaining 70%-80% is believed to be due to one or more genetic factors.

Genetic testing has become standard for children with early-onset epilepsy, but it’s not common practice among adults with the condition — at least not yet.

The retrospective study involved a chart review of patient electronic health records from 2018-2023. Researchers used the Stanford electronic health record Cohort Discovery tool (STARR) database to identify 286 patients over age 16 years with epilepsy who had records of genetic testing.

Of the 286 patients, 148 were male and 138 female, and mean age was approximately 30 years. Among those with known epilepsy types, 53.6% had focal epilepsy and 28.8% had generalized epilpesy.

The mean age of seizure onset was 11.9 years, but the mean age at genetic testing was 25.1 years. “There’s a gap of about 13 or 14 years for genetic workup after a patient has a first seizure,” said Dr. Li.

Such a “huge delay” means patients may miss out on “potential precision treatment choices,” she said.

And having a diagnosis can connect patients to others with the same condition as well as to related organizations and communities that offer support, she added.

Types of genetic testing identified in the study included panel testing, which looks at the genes associated with epilepsy; whole exome sequencing (WES), which includes all 20,000 genes in one test; and microarray testing, which assesses missing sections of chromosomes. WES had the highest diagnostic yield (48%), followed by genetic panel testing (32.7%) and microarray testing (20.9%).

These tests collectively identified pathogenic variants in 40.9% of patients. In addition, test results showed that 53.10% of patients had variants of uncertain significance.

In the full cohort, the most commonly identified variants were mutations in TSC1 (which causes tuberous sclerosis, SCN1A (which causes Dravet syndrome), and MECP2. Among patients with seizure onset after age 1 year, MECP2 and DEPDC5 were the two most commonly identified pathogenic variants.

Researchers examined factors possibly associated with a higher risk for genetic epilepsy, including family history, comorbid developmental delay, febrile seizures, status epilepticus, perinatal injury, and seizure onset age. In an adjusted analysis, comorbid developmental delay (estimate 2.338; 95% confidence interval [CI], 1.402-3.900; P =.001) and seizure onset before 1 year (estimate 2.365; 95% CI, 1.282-4.366; P =.006) predicted higher yield of pathogenic variants related to epilepsy.

Dr. Li noted that study participants with a family history of epilepsy were not more likely to test positive for a genetic link, so doctors shouldn’t rule out testing in patients if there’s no family history.

Both the International League Against Epilepsy (ILAE) and the National Society of Genetic Counselors (NSGC) recommend genetic testing in adult epilepsy patients, with the AES endorsing the NSGC guideline.

Although testing is becoming increasingly accessible, insurance companies don’t always cover the cost.

Dr. Li said she hopes her research raises awareness among clinicians that there’s more they can do to improve care for epilepsy patients. “We should offer patients genetic testing if we don’t have a clear etiology.”
 

Valuable Evidence

Commenting on the research findings, Annapurna Poduri, MD, MPH, director, Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts, said this research “is incredibly important.”

“What’s really telling about this study and others that have come up over the last few years is they’re real-world retrospective studies, so they’re looking back at patients who have been seen over many, many years.”

The research provides clinicians, insurance companies, and others with evidence that genetic testing is “valuable and can actually improve outcomes,” said Dr. Poduri.

She noted that 20 years ago, there were only a handful of genes identified as being involved with epilepsy, most related to sodium or potassium channels. But since then, “the technology has just raced ahead” to the point where now “dozens of genes” have been identified.

Not only does knowing the genetic basis of epilepsy improve management, but it offers families some peace of mind. “They blame themselves” for their loved one’s condition, said Dr. Poduri. “They may worry it was something they did in pregnancy; for example, maybe it was because [they] didn’t take that vitamin one day.”

Diagnostic certainty also means that patients “don’t have to do more tests which might be invasive” and unnecessarily costly.

Drs. Li and Poduri report no relevant conflicts of interest.

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

ORLANDO — Genetic testing is warranted in patients with epilepsy of unknown origin, new research suggests. Investigators found that pathogenic genetic variants were identified in over 40% of patients with epilepsy of unknown cause who underwent genetic testing.

Such testing is particularly beneficial for those with early-onset epilepsy and those with comorbid developmental delay, said study investigator Yi Li, MD, PhD, clinical assistant professor, Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, California. 

But every patient with epilepsy of unknown etiology needs to consider genetic testing as part of their standard workup.

Dr. Li noted research showing that a diagnosis of a genetic epilepsy leads to alteration of treatment in about 20% of cases — for example, starting a specific antiseizure medication or avoiding a treatment such as a sodium channel blocker in patients diagnosed with Dravet syndrome. A genetic diagnosis also may make patients eligible for clinical trials investigating gene therapies. 

Genetic testing results may end a long and exhausting “diagnostic odyssey” that families have been on, she said. Patients often wait more than a decade to get genetic testing, the study found.

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

Major Delays

About 20%-30% of epilepsy is caused by acquired conditions such as stroke, tumor, or head injury. The remaining 70%-80% is believed to be due to one or more genetic factors.

Genetic testing has become standard for children with early-onset epilepsy, but it’s not common practice among adults with the condition — at least not yet.

The retrospective study involved a chart review of patient electronic health records from 2018-2023. Researchers used the Stanford electronic health record Cohort Discovery tool (STARR) database to identify 286 patients over age 16 years with epilepsy who had records of genetic testing.

Of the 286 patients, 148 were male and 138 female, and mean age was approximately 30 years. Among those with known epilepsy types, 53.6% had focal epilepsy and 28.8% had generalized epilpesy.

The mean age of seizure onset was 11.9 years, but the mean age at genetic testing was 25.1 years. “There’s a gap of about 13 or 14 years for genetic workup after a patient has a first seizure,” said Dr. Li.

Such a “huge delay” means patients may miss out on “potential precision treatment choices,” she said.

And having a diagnosis can connect patients to others with the same condition as well as to related organizations and communities that offer support, she added.

Types of genetic testing identified in the study included panel testing, which looks at the genes associated with epilepsy; whole exome sequencing (WES), which includes all 20,000 genes in one test; and microarray testing, which assesses missing sections of chromosomes. WES had the highest diagnostic yield (48%), followed by genetic panel testing (32.7%) and microarray testing (20.9%).

These tests collectively identified pathogenic variants in 40.9% of patients. In addition, test results showed that 53.10% of patients had variants of uncertain significance.

In the full cohort, the most commonly identified variants were mutations in TSC1 (which causes tuberous sclerosis, SCN1A (which causes Dravet syndrome), and MECP2. Among patients with seizure onset after age 1 year, MECP2 and DEPDC5 were the two most commonly identified pathogenic variants.

Researchers examined factors possibly associated with a higher risk for genetic epilepsy, including family history, comorbid developmental delay, febrile seizures, status epilepticus, perinatal injury, and seizure onset age. In an adjusted analysis, comorbid developmental delay (estimate 2.338; 95% confidence interval [CI], 1.402-3.900; P =.001) and seizure onset before 1 year (estimate 2.365; 95% CI, 1.282-4.366; P =.006) predicted higher yield of pathogenic variants related to epilepsy.

Dr. Li noted that study participants with a family history of epilepsy were not more likely to test positive for a genetic link, so doctors shouldn’t rule out testing in patients if there’s no family history.

Both the International League Against Epilepsy (ILAE) and the National Society of Genetic Counselors (NSGC) recommend genetic testing in adult epilepsy patients, with the AES endorsing the NSGC guideline.

Although testing is becoming increasingly accessible, insurance companies don’t always cover the cost.

Dr. Li said she hopes her research raises awareness among clinicians that there’s more they can do to improve care for epilepsy patients. “We should offer patients genetic testing if we don’t have a clear etiology.”
 

Valuable Evidence

Commenting on the research findings, Annapurna Poduri, MD, MPH, director, Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts, said this research “is incredibly important.”

“What’s really telling about this study and others that have come up over the last few years is they’re real-world retrospective studies, so they’re looking back at patients who have been seen over many, many years.”

The research provides clinicians, insurance companies, and others with evidence that genetic testing is “valuable and can actually improve outcomes,” said Dr. Poduri.

She noted that 20 years ago, there were only a handful of genes identified as being involved with epilepsy, most related to sodium or potassium channels. But since then, “the technology has just raced ahead” to the point where now “dozens of genes” have been identified.

Not only does knowing the genetic basis of epilepsy improve management, but it offers families some peace of mind. “They blame themselves” for their loved one’s condition, said Dr. Poduri. “They may worry it was something they did in pregnancy; for example, maybe it was because [they] didn’t take that vitamin one day.”

Diagnostic certainty also means that patients “don’t have to do more tests which might be invasive” and unnecessarily costly.

Drs. Li and Poduri report no relevant conflicts of interest.

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