Quantitative epileptiform burden and electroencephalography background features predict post-traumatic epilepsy
Chen Y, Li S, Ge W, Jing J, Chen HY, Doherty D, Herman A, Kaleem S, Ding K, Osman G, Swisher CB, Smith C, Maciel CB, Alkhachroum A, Lee JW, Dhakar MB, Gilmore EJ, Sivaraju A, Hirsch LJ, Omay SB, Blumenfeld H, Sheth KN, Struck AF, Edlow BL, Westover MB, Kim JA. Quantitative epileptiform burden and electroencephalography background features predict post-traumatic epilepsy. Journal Of Neurology Neurosurgery & Psychiatry 2022, 94: 245-249. PMID: 36241423, PMCID: PMC9931627, DOI: 10.1136/jnnp-2022-329542.Peer-Reviewed Original ResearchMeSH KeywordsBrain Injuries, TraumaticCase-Control StudiesElectroencephalographyEpilepsy, Post-TraumaticHumansRetrospective StudiesConceptsPost-traumatic epilepsyTraumatic brain injuryCT abnormalitiesElectroencephalography featuresAdmission Glasgow Coma Scale scoreGlasgow Coma Scale scoreRetrospective case-control studyMultivariable logistic regression analysisRisk stratification modelCase-control studyLogistic regression analysisTBI admissionsSevere complicationsFuture trialsBrain injuryCT reportsSeizure diagnosisPredictive valueScale scorePatientsLogistic regressionStratification modelQuantitative electroencephalogramTBI mechanismsRegression analysisAcute epileptiform abnormalities are the primary predictors of post‐stroke epilepsy: a matched, case–control study
Punia V, Ellison L, Bena J, Chandan P, Sivaraju A, George P, Newey CR, Hantus S. Acute epileptiform abnormalities are the primary predictors of post‐stroke epilepsy: a matched, case–control study. Annals Of Clinical And Translational Neurology 2022, 9: 558-563. PMID: 35243824, PMCID: PMC8994977, DOI: 10.1002/acn3.51534.Peer-Reviewed Original ResearchConceptsPost-stroke epilepsyDays of presentationMultivariable logistic modelCase-control studyContinuous EEG monitoringUnivariable analysisStroke patientsEpileptiform abnormalitiesSeizure managementPresence of EAEEG monitoringTherapy trialsEpilepsyPrimary predictorPredictorsLogistic modelPatientsAbnormalitiesTrials