Acute epileptiform abnormalities are the primary predictors of post‐stroke epilepsy: a matched, case–control study. Issue 4 (3rd March 2022)

• Record Type: Journal Article
• Authors: Punia, Vineet; Ellison, Lisa; Bena, Jim; Chandan, Pradeep; Sivaraju, Adithya; George, Pravin; Newey, Christopher R.; Hantus, Stephen
• Is Part Of: Annals of clinical and translational neurology. Volume 9:Issue 4(2022)
• Page Start: 558
• Page End: 563
• Publication Date: 2022-03-03
• Subjects: Nervous system -- Diseases -- Periodicals; Neurology -- Periodicals; 616.8005
• DOI: 10.1002/acn3.51534
• Languages: English
• ISSNs: 2328-9503

Abstract

Abstract: Stroke patients who underwent continuous EEG (cEEG) monitoring within 7 days of presentation and developed post‐stroke epilepsy (PSE; cases, n = 36) were matched (1:2 ratio) by age and follow‐up duration with ones who did not (controls, n = 72). Variables significant on univariable analysis [hypertension, smoking, hemorrhagic conversion, pre‐cEEG convulsive seizures, and epileptiform abnormalities (EAs)] were included in the multivariable logistic model and only the presence of EAs on EEG remained significant PSE predictor [OR = 11.9 (1.75–491.6)]. With acute EAs independently predicting PSE development, accounting for their presence may help to tailor post‐acute symptomatic seizure management and aid anti‐epileptogenesis therapy trials.