Evidence map›Paper›PMID 42839211›Full record

ArticleNeurology and therapy2026

Predictors of Seizure Occurrence After Mild Cognitive Impairment and Alzheimer's Disease in Older Adults in the Veterans Affairs Healthcare System: A Retrospective Cohort Study.

Myriam Abdennadher, Ying Wang, Joel Reisman, Wen Hu, Peter Morin, Dan R Berlowitz, Brant Mittler, Amir Abbas Tahami Monfared, Quanwu Zhang, Weiming Xia

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Article in Neurology and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

10 authors.

Myriam AbdennadherDepartment of Neurology, Boston University Chobanian & Avedisian School of Medicine/Boston Medical Center, Boston, MA, USA.
Ying WangDepartment of Applied Mathematics, Wentworth Institute of Technology, Boston, MA, USA.
Joel ReismanDepartment of Biological Sciences, Kennedy College of Sciences, University of Massachusetts Lowell, Lowell, MA, USA.
Wen HuDepartment of Biological Sciences, Kennedy College of Sciences, University of Massachusetts Lowell, Lowell, MA, USA.
Peter MorinDepartment of Neurology, Boston University Chobanian & Avedisian School of Medicine/Boston Medical Center, Boston, MA, USA.
Dan R BerlowitzDepartment of Public Health, Zuckerberg College of Health Sciences, University of Massachusetts Lowell, Lowell, MA, USA.
Brant MittlerUTHealth, San Antonio, TX, USA.
Amir Abbas Tahami MonfaredAlzheimer's Disease and Brain Health, Eisai Inc., Nutley, NJ, USA.
Quanwu ZhangAlzheimer's Disease and Brain Health, Eisai Inc., Nutley, NJ, USA.
Weiming XiaGeriatric Research Education and Clinical Center, VA Bedford Healthcare System, 200 Springs Road, Bedford, MA, USA. wxia@bu.edu.ORCID http://orcid.org/0000-0002-7463-3295

Funding

NIH HHS AG063913
6 · The paper itself

Abstract

introductionThis was a retrospective epidemiological study to identify the predictors of incidence seizures among older adults with all-cause mild cognitive impairment (MCI) and Alzheimer's disease (AD) receiving care in the Veterans Affairs Healthcare System (VAHS).

methodsVeterans aged ≥ 50 years with MCI or AD were identified using pre-specified diagnostic code and clinical note algorithms in VAHS electronic health records, with linkage to Medicare claims where available, during 2016-2023. Seizures were identified using ICD-10-CM codes for convulsions and epilepsy (R56.x and G40.x), excluding codes considered unlikely to represent unprovoked seizures (e.g., G40.5). Individuals with any seizure/epilepsy diagnosis prior to the index MCI/AD date (or matched control date) were excluded. Multivariate Cox proportional hazards models were used to estimate associations but not causal relationships between baseline comorbidities and subsequent seizure risk.

resultsA total of 747,475 individuals with AD or MCI and 747,475 age- and sex-matched non-MCI/AD comparators were identified; after excluding those with pre-index seizures, the analytic cohorts included 482,364 MCI, 223,312 AD, and 736,118 comparator veterans. Compared with non-MCI/AD controls, seizure risk was higher in MCI (HR 2.89, 95% CI 2.80-2.99) and AD (HR 3.19, 95% CI 2.99-3.41). In adjusted analyses, seizure risk was higher among black veterans (HR 1.38, 95% CI 1.31-1.46) than white veterans. Comorbidities with the strongest adjusted associations included traumatic brain injury (HR 1.88, 95% CI 1.68-2.10), central nervous system infection (HR 1.88, 95% CI 1.21-2.92), cerebrovascular disease (HR 1.72, 95% CI 1.63-1.81), and hemorrhagic stroke (HR 1.61, 95% CI 1.39-1.86). Much of the excess risk was associated with cerebrovascular and neurologic comorbidity.

conclusionOur study showed that seizure risk is elevated in MCI and AD, with specific comorbidities associated with risk of seizure occurrence and cognitive decline, suggesting potentially actionable targets for risk stratification and clinical monitoring.

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AlzheimerElectronic health recordsEpilepsyMild cognitive impairmentVeterans

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.