2019
Quantitative Electroencephalogram Trends Predict Recovery in Hypoxic-Ischemic Encephalopathy.
Ghassemi MM, Amorim E, Alhanai T, Lee JW, Herman ST, Sivaraju A, Gaspard N, Hirsch LJ, Scirica BM, Biswal S, Moura Junior V, Cash SS, Brown EN, Mark RG, Westover MB. Quantitative Electroencephalogram Trends Predict Recovery in Hypoxic-Ischemic Encephalopathy. Critical Care Medicine 2019, 47: 1416-1423. PMID: 31241498, PMCID: PMC6746597, DOI: 10.1097/ccm.0000000000003840.Peer-Reviewed Original ResearchConceptsHypoxic-ischemic encephalopathyNeurologic outcomeElectroencephalogram featuresAcute hypoxic-ischemic encephalopathyAcademic medical centerBetter prognostic predictionReceiver operator curveNeurologic recoveryComatose patientsPrognostic implicationsCardiac arrestMedical CenterPrognostication performancePrognostic predictionOperator curveLogistic regressionSequential logistic regressionSpecificity thresholdEncephalopathyStatistical associationOutcomes
2018
Electro-clinical characteristics and prognostic significance of post anoxic myoclonus
Dhakar MB, Sivaraju A, Maciel CB, Youn TS, Gaspard N, Greer DM, Hirsch LJ, Gilmore EJ. Electro-clinical characteristics and prognostic significance of post anoxic myoclonus. Resuscitation 2018, 131: 114-120. PMID: 29964146, DOI: 10.1016/j.resuscitation.2018.06.030.Peer-Reviewed Original ResearchConceptsPost-anoxic myoclonusRecovery of consciousnessElectro-clinical characteristicsComatose cardiac arrest survivorsLow voltage backgroundRetrospective chart reviewCardiac arrest survivorsElectro-clinical correlationsTime of dischargeContinuous EEG monitoringRelevant clinical variablesChart reviewHospital dischargeSpontaneous circulationArrest survivorsBrainstem reflexesCA survivorsPrognostic implicationsPrognostic significanceClinical variablesEEG findingsMyoclonusEEG monitoringPatientsLack of recovery