Featured Publications
Prognostication of post-cardiac arrest coma: early clinical and electroencephalographic predictors of outcome
Sivaraju A, Gilmore EJ, Wira CR, Stevens A, Rampal N, Moeller JJ, Greer DM, Hirsch LJ, Gaspard N. Prognostication of post-cardiac arrest coma: early clinical and electroencephalographic predictors of outcome. Intensive Care Medicine 2015, 41: 1264-1272. PMID: 25940963, DOI: 10.1007/s00134-015-3834-x.Peer-Reviewed Original ResearchConceptsBetter outcomesPoor outcomeEpileptiform dischargesPost-cardiac arrest comatose patientsCritical care EEG terminologyPost-cardiac arrest comaMethodsProspective cohort studyContinuous EEG monitoringLow-voltage EEGPositive predictive valueAbsence of reactivityEEG terminologyCohort studySpontaneous circulationBrainstem reflexesClinical outcomesComatose patientsFalse positive ratePoor prognosisPrognostic significanceSuppression burstsClinical variablesClinical correlatesElectroencephalographic patternsElectroencephalographic predictors
2022
Acute 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