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Role of Deployment History on the Association Between Epilepsy and Traumatic Brain Injury in Post-9/11 Era US Veterans.
Henion, Amy K; Wang, Chen-Pin; Amuan, Megan; Altalib, Hamada H; Towne, Alan R; Hinds, Sidney R; Baca, Christine; LaFrance, W Curt; Van Cott, Anne C; Kean, Jacob; Roghani, Ali; Kennedy, Eamonn; Panahi, Samin; Pugh, Mary Jo V.
Afiliação
  • Henion AK; From the Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (A.K.H., M.A., E.K., S.P., M.J.V.P.), VA Salt Lake City Health Care System, UT; Division of Epidemiology (A.K.H., A.R., E.K., S.P., M.J.V.P.), University of Utah Health Science Center, Salt Lake City; Division of Gen
  • Wang CP; From the Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (A.K.H., M.A., E.K., S.P., M.J.V.P.), VA Salt Lake City Health Care System, UT; Division of Epidemiology (A.K.H., A.R., E.K., S.P., M.J.V.P.), University of Utah Health Science Center, Salt Lake City; Division of Gen
  • Amuan M; From the Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (A.K.H., M.A., E.K., S.P., M.J.V.P.), VA Salt Lake City Health Care System, UT; Division of Epidemiology (A.K.H., A.R., E.K., S.P., M.J.V.P.), University of Utah Health Science Center, Salt Lake City; Division of Gen
  • Altalib HH; From the Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (A.K.H., M.A., E.K., S.P., M.J.V.P.), VA Salt Lake City Health Care System, UT; Division of Epidemiology (A.K.H., A.R., E.K., S.P., M.J.V.P.), University of Utah Health Science Center, Salt Lake City; Division of Gen
  • Towne AR; From the Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (A.K.H., M.A., E.K., S.P., M.J.V.P.), VA Salt Lake City Health Care System, UT; Division of Epidemiology (A.K.H., A.R., E.K., S.P., M.J.V.P.), University of Utah Health Science Center, Salt Lake City; Division of Gen
  • Hinds SR; From the Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (A.K.H., M.A., E.K., S.P., M.J.V.P.), VA Salt Lake City Health Care System, UT; Division of Epidemiology (A.K.H., A.R., E.K., S.P., M.J.V.P.), University of Utah Health Science Center, Salt Lake City; Division of Gen
  • Baca C; From the Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (A.K.H., M.A., E.K., S.P., M.J.V.P.), VA Salt Lake City Health Care System, UT; Division of Epidemiology (A.K.H., A.R., E.K., S.P., M.J.V.P.), University of Utah Health Science Center, Salt Lake City; Division of Gen
  • LaFrance WC; From the Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (A.K.H., M.A., E.K., S.P., M.J.V.P.), VA Salt Lake City Health Care System, UT; Division of Epidemiology (A.K.H., A.R., E.K., S.P., M.J.V.P.), University of Utah Health Science Center, Salt Lake City; Division of Gen
  • Van Cott AC; From the Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (A.K.H., M.A., E.K., S.P., M.J.V.P.), VA Salt Lake City Health Care System, UT; Division of Epidemiology (A.K.H., A.R., E.K., S.P., M.J.V.P.), University of Utah Health Science Center, Salt Lake City; Division of Gen
  • Kean J; From the Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (A.K.H., M.A., E.K., S.P., M.J.V.P.), VA Salt Lake City Health Care System, UT; Division of Epidemiology (A.K.H., A.R., E.K., S.P., M.J.V.P.), University of Utah Health Science Center, Salt Lake City; Division of Gen
  • Roghani A; From the Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (A.K.H., M.A., E.K., S.P., M.J.V.P.), VA Salt Lake City Health Care System, UT; Division of Epidemiology (A.K.H., A.R., E.K., S.P., M.J.V.P.), University of Utah Health Science Center, Salt Lake City; Division of Gen
  • Kennedy E; From the Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (A.K.H., M.A., E.K., S.P., M.J.V.P.), VA Salt Lake City Health Care System, UT; Division of Epidemiology (A.K.H., A.R., E.K., S.P., M.J.V.P.), University of Utah Health Science Center, Salt Lake City; Division of Gen
  • Panahi S; From the Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (A.K.H., M.A., E.K., S.P., M.J.V.P.), VA Salt Lake City Health Care System, UT; Division of Epidemiology (A.K.H., A.R., E.K., S.P., M.J.V.P.), University of Utah Health Science Center, Salt Lake City; Division of Gen
  • Pugh MJV; From the Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (A.K.H., M.A., E.K., S.P., M.J.V.P.), VA Salt Lake City Health Care System, UT; Division of Epidemiology (A.K.H., A.R., E.K., S.P., M.J.V.P.), University of Utah Health Science Center, Salt Lake City; Division of Gen
Neurology ; 101(24): e2571-e2584, 2023 Dec 12.
Article em En | MEDLINE | ID: mdl-38030395
BACKGROUND AND OBJECTIVES: Traumatic brain injury (TBI) is a well-established epilepsy risk factor and is common among service members. Deployment-related TBI, where combat/blast may be more common, may have different outcomes than nondeployment-related TBI. This work examined associations of all TBI exposures (not just combat), and epilepsy, while adjusting for comorbidities associated with epilepsy, among veterans by deployment status. METHODS: The cohort included post-9/11 veterans with ≥2 years of care in both Veterans Health Administration and Defense Health Agency systems. We identified epilepsy using ICD-9/10-CM codes, antiseizure medication, and service-connected disability for epilepsy. We conducted a logistic regression model with interaction terms for conditions by deployment history that adjusted for demographics and military characteristics. RESULTS: The cohort (n = 938,890) included post-9/11 veterans of whom 27,436 (2.92%) had epilepsy. Most veterans had a history of deployment (70.64%), referred to as "deployed." Epilepsy was more common among veterans who were never deployed ("nondeployed") (3.85% vs 2.54%). Deployed veterans were more likely to have had TBI, compared with the nondeployed veterans (33.94% vs 14.24%), but nondeployed veterans with moderate/severe TBI had higher odds of epilepsy compared with deployed veterans (adjusted odds ratio [aOR] 2.92, 95% CI 2.68-3.17 vs aOR 2.01, 95% CI 1.91-2.11). Penetrating TBI had higher odds of epilepsy among the deployed veterans (aOR 5.33, 95% CI 4.89-5.81), whereas the odds of epilepsy for mild TBI did not significantly differ by deployment status. Although most neurologic conditions were more prevalent among the nondeployed veterans, they were often associated with higher odds of epilepsy in the deployed veterans. DISCUSSION: Deployment history had a significant differential impact on epilepsy predictors. As expected, penetrating TBI had a greater epilepsy impact among deployed veterans perhaps due to combat/blast. Some epilepsy predictors (moderate/severe TBI, multiple sclerosis, and Parkinson disease) had a stronger association in the nondeployed veterans suggesting a potential healthy warrior effect in which such conditions preclude deployment. Other neurologic conditions (e.g., brain tumor, Alzheimer disease/frontotemporal dementia) had a greater epilepsy impact in the deployed veterans. This may be attributable to deployment-related exposures (combat injury, occupational exposures). A better understanding of deployment effects is critical to provide targeted epilepsy prevention in veterans and military service members.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Veteranos / Epilepsia / Lesões Encefálicas Traumáticas / Militares Limite: Humans Idioma: En Revista: Neurology Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Veteranos / Epilepsia / Lesões Encefálicas Traumáticas / Militares Limite: Humans Idioma: En Revista: Neurology Ano de publicação: 2023 Tipo de documento: Article