| Literature DB >> 29537656 |
Jennifer A Kim1,2, Emily J Boyle1, Alexander C Wu3, Andrew J Cole1, Kevin J Staley1, Sahar Zafar1,2, Sydney S Cash1, M Brandon Westover1.
Abstract
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 (PTE1 ). We analyze PTE1 risk factors in two cohorts matched for TBI severity and age (n = 50). EAs independently predict risk for PTE1 (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 PTE1 , and that EAs acutely post-TBI can identify patients most likely to benefit from antiepileptogenesis drug trials. Ann Neurol 2018;83:858-862.Entities:
Mesh:
Year: 2018 PMID: 29537656 PMCID: PMC5912971 DOI: 10.1002/ana.25211
Source DB: PubMed Journal: Ann Neurol ISSN: 0364-5134 Impact factor: 10.422