Abstracts

Temporal Trends and Regional Disparities in Deaths due to Stroke Among Adults with Epilepsy: A Retrospective Study in the United States

Abstract number : 2.117
Submission category : 16. Epidemiology
Year : 2025
Submission ID : 1167
Source : www.aesnet.org
Presentation date : 12/7/2025 12:00:00 AM
Published date :

Authors :
Zain Ali Nadeem, MBBS – Allama Iqbal Medical College
Khawaja Abdul Rehman, MBBS – CMH Lahore Medical College and Institute of Dentistry
Sophia Ahmed, MBBS – Allama Iqbal Medical College, Lahore
Muhammad Hamza Shoaib, MBBS – Allama Iqbal Medical College
Eeshal Fatima, MBBS – Services Institute of Medical Sciences
Javeria Javeid, MBBS – University of Florida
Aimen Nadeem, MBBS – King Edward Medical University
Presenting Author: Syed Hashim Ali Inam, MD – Marshall University School of Medicine Department of Neurology

Syed Hashim Ali Inam, MD – Marshall University Joan C. Edwards School of Medicine, Department of Neurology
Samirna Hanif, MD – Marshall University

Rationale:

Post-stroke epilepsy is known to cause substantial morbidity and mortality. On the other hand, studies have suggested that epilepsy might predispose to a greater risk of stroke as well, which could prove fatal. To further explore the effects of this complex relationship in the population, we aim to assess the temporal and regional trends in mortality due to stroke in adults with epilepsy in the United States (US). 



Methods:

We used the Centers for Disease Control and Prevention Wide-ranging ONline Data for Epidemiologic Research (CDC WONDER) database to retrieve data from death certificates of adults ( >25 years) in the US from 1999 to 2020 using ICD-10 codes with stroke (I60-I69) as the underlying cause of death and epilepsy (G40) as a contributing cause of death. The data were stratified by sex, age groups, census region, urbanization, states, and place of death. We then calculated crude (CMRs) and age-adjusted mortality rates (AAMRs) per 100,000 with the 95% confidence intervals (CIs) and used the Joinpoint Regression Program to determine the annual percent change (APC) in the rates. A P-value < 0.05 was considered significant in all cases.

Epidemiology