Medline ® Abstract for Reference 13
of 'Seizures and epilepsy in older adults: Etiology, clinical presentation, and diagnosis'
13
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Predictors of incident epilepsy in older adults: The Cardiovascular Health Study.
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Choi H, Pack A, Elkind MS, Longstreth WT Jr, Ton TG, Onchiri F
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Neurology. 2017;88(9):870. Epub 2017 Jan 27.
OBJECTIVE:
To determine the prevalence, incidence, and predictors of epilepsy among older adults in the Cardiovascular Health Study (CHS).
METHODS:
We analyzed data prospectively collected in CHS and merged with data from outpatient Medicare administrative claims. We identified cases with epilepsy using self-report, antiepileptic medication, hospitalization discharge ICD-9 codes, and outpatient Medicare ICD-9 codes. We used Cox proportional hazards regression to identify factors independently associated with incident epilepsy.
RESULTS:
At baseline, 42% of the 5,888 participants were men and 84% were white. At enrollment, 3.7% (215 of 5,888) met the criteria for prevalent epilepsy. During 14 years of follow-up totaling 48,651 person-years, 120 participants met the criteria for incident epilepsy, yielding an incidence rate of 2.47 per 1,000 person-years. The period prevalence of epilepsy by the endof follow-up was 5.7% (335 of 5,888). Epilepsy incidence rates were significantly higher among blacks than nonblacks: 4.44 vs 2.17 per 1,000 person-years (p<0.001). In multivariable analyses, risk of incident epilepsy was significantly higher among blacks compared to nonblacks (hazard ratio [HR]4.04, 95% confidence interval [CI]1.99-8.17), those 75 to 79 compared to those 65 to 69 years of age (HR 2.07, 95% CI 1.21-3.55), and those with history of stroke (HR 3.49, 95% CI 1.37-8.88).
CONCLUSIONS:
Epilepsy in older adults in the United States was common. Blacks, the very old, and those with history of stroke have a higher risk of incident epilepsy. The association with race remains unexplained.
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From the Department of Neurology (H.C., A.P., M.S.V.E.), Columbia University, New York, NY; Departments of Neurology (W.T.L.) and Epidemiology (W.T.L., F.O.), University of Washington, Seattle; Precision Health Economics (T.G.N.T.), Oakland, CA; and Seattle Children's Research Institute (F.O.), WA. hc323@columbia.edu.
PMID
