Epileptiform activity in traumatic brain injury predicts post-traumatic epilepsy

Details

• Alternative Title:
  Ann Neurol
• Personal Author:
  Kim, Jennifer A. ; Boyle, Emily ; Wu, Alexander C. ; Cole, Andrew J. ; Staley, Kevin J ; Zafar, Sahar ; Cash, Sydney S. ; Westover, M. Brandon
• Description:
  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 = 50). 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.
• Subjects:
  Article EA EEG Epilepsy PTE SDH TBI Traumatic Brain Injury
• Source:
  Ann Neurol. 83(4):858-862
• Pubmed ID:
  29537656
• Pubmed Central ID:
  PMC5912971
• Document Type:
  Journal Article
• Funding:
  K23 NS090900/NS/NINDS NIH HHS/United States ; R01 NS086364/NS/NINDS NIH HHS/United States ; R25 NS065743/NS/NINDS NIH HHS/United States ; T42 OH008416/OH/NIOSH CDC HHS/United States
• Volume:
  83
• Issue:
  4
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:4cd9d9717808d1e086da8ac80060c25bf24dc64adf1207261462fd65b318b04f
• Download URL:
  https://stacks.cdc.gov/view/cdc/53628/cdc_53628_DS1.pdf
• File Type:
  [PDF - 161.70 KB ]