Ann Neurol

We hypothesize that epileptiform abnormalities (EAs) in the electroencephalogram (EEG) during the acute period following traumatic brain injury (TBI) independently predict first-year post-traumatic epilepsy (PTE| ). We analyze PTE| risk factors in two cohorts matched for TBI severity and age (n\u2009=\u200950). EAs independently predict risk for PTE| (odds ratio [OR], 3.16 [0.99, 11.68]); subdural hematoma is another independent risk factor (OR, 4.13 [1.18, 39.33]). Differences in EA rates are apparent within 5 days following TBI. Our results suggest that increased EA prevalence identifies patients at increased risk for PTE| , and that EAs acutely post-TBI can identify patients most likely to benefit from antiepileptogenesis drug trials. Ann Neurol 2018;83:858-862.K23 NS090900/NS/NINDS NIH HHS/United StatesR01 NS086364/NS/NINDS NIH HHS/United StatesR25 NS065743/NS/NINDS NIH HHS/United StatesT42 OH008416/OH/NIOSH CDC HHS/United States2019-04-10T00:00:00Z29537656PMC59129716133vault:2886