2022
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 analysis
2018
Bilateral independent periodic discharges are associated with electrographic seizures and poor outcome: A case-control study
Osman G, Rahangdale R, Britton JW, Gilmore EJ, Haider HA, Hantus S, Herlopian A, Hocker SE, Woo Lee J, Legros B, Mendoza M, Punia V, Rampal N, Szaflarski JP, Wallace AD, Westover MB, Hirsch LJ, Gaspard N. Bilateral independent periodic discharges are associated with electrographic seizures and poor outcome: A case-control study. Clinical Neurophysiology 2018, 129: 2284-2289. PMID: 30227348, PMCID: PMC6785981, DOI: 10.1016/j.clinph.2018.07.025.Peer-Reviewed Original ResearchMeSH KeywordsAgedBrain Injuries, TraumaticBrain WavesCase-Control StudiesElectrocorticographyFemaleHumansMaleMiddle AgedPeriodicityPrognosisSeizuresConceptsBilateral independent periodic dischargesCase-control studyElectrographic seizuresPoor outcomePeriodic dischargesLPD groupBrain injuryRetrospective case-control studyAcute brain injuryAnoxic brain injuryCNS infectionsFrequent etiologyCerebral injuryIll patientsClinical managementPD groupLevel of alertnessHigh riskBetter outcomesPatientsMultivariate analysisSeizuresInjuryPotential important implicationsOutcomesThe epilepsy bioinformatics study for anti-epileptogenic therapy (EpiBioS4Rx) clinical biomarker: Study design and protocol
Vespa PM, Shrestha V, Abend N, Agoston D, Au A, Bell MJ, Bleck TP, Blanco MB, Claassen J, Diaz-Arrastia R, Duncan D, Ellingson B, Foreman B, Gilmore EJ, Hirsch L, Hunn M, Kamnaksh A, McArthur D, Morokoff A, O'Brien T, O'Phelan K, Robertson CL, Rosenthal E, Staba R, Toga A, Willyerd FA, Zimmermann L, Yam E, Martinez S, Real C, Engel J. The epilepsy bioinformatics study for anti-epileptogenic therapy (EpiBioS4Rx) clinical biomarker: Study design and protocol. Neurobiology Of Disease 2018, 123: 110-114. PMID: 30048805, PMCID: PMC6344322, DOI: 10.1016/j.nbd.2018.07.025.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkersBrainBrain Injuries, TraumaticComputational BiologyEpilepsy, Post-TraumaticHumansLongitudinal StudiesObservational Studies as TopicProspective StudiesConceptsPost-traumatic epilepsyTraumatic brain injuryIncidence of PTELongitudinal prospective observational studyAnti-epileptogenic therapiesEpilepsy Bioinformatics StudyProspective observational studyFuture interventional studiesModerate-severe TBI patientsHemorrhagic contusionAcute evaluationTBI patientsBlood biomarkersDiscovery of biomarkersInterventional studyBrain injuryElectroencephalographic monitoringObservational studyInternational cohortAnimal modelsClinical biomarkersStudy designBiomarkersMultidisciplinary approachNational Institute