Featured Publications
Factors Predicting Outcome After Intracranial EEG Evaluation in Patients With Medically Refractory Epilepsy
Sivaraju A, Hirsch L, Gaspard N, Farooque P, Gerrard J, Xu Y, Deng Y, Damisah E, Blumenfeld H, Spencer DD. Factors Predicting Outcome After Intracranial EEG Evaluation in Patients With Medically Refractory Epilepsy. Neurology 2022, 99: e1-e10. PMID: 35508395, PMCID: PMC9259091, DOI: 10.1212/wnl.0000000000200569.Peer-Reviewed Original ResearchMeSH KeywordsDrug Resistant EpilepsyElectrocorticographyElectroencephalographyHumansMagnetic Resonance ImagingRetrospective StudiesTreatment OutcomeConceptsTemporal lobe onsetSeizure freedomResective surgeryIndependent predictorsLesional MRIUnfavorable predictorRefractory epilepsyContinued medical treatmentEpilepsy surgical evaluationFactors Predicting OutcomeIntracranial EEG evaluationNonlesional extratemporal epilepsySubsequent seizure freedomSustained seizure freedomThorough presurgical evaluationSeizure-free outcomeClass II evidenceMedically Refractory EpilepsyRetrospective chart reviewKaplan-Meier curvesSelect clinical scenariosMultivariable regression analysisBest multivariable modelIntracranial EEGSeizure onset localizationPrognostication 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
2024
Predictors of follow-up care for critically-ill patients with seizures and epileptiform abnormalities on EEG monitoring
Rice H, Fernandes M, Punia V, Rubinos C, Sivaraju A, Zafar S. Predictors of follow-up care for critically-ill patients with seizures and epileptiform abnormalities on EEG monitoring. Clinical Neurology And Neurosurgery 2024, 241: 108275. PMID: 38640778, PMCID: PMC11167629, DOI: 10.1016/j.clineuro.2024.108275.Peer-Reviewed Original ResearchConceptsNeurological follow-upFollow-up visitFollow-upAntiseizure medicationsOutpatient follow-upCritically-ill patientsContinuous EEGEpileptiform abnormalitiesPredictors of follow-upPrevent long-term complicationsIllness severityYounger ageRetrospective cohort studyLong-term complicationsFollow-up statusIntensive care unitProbability of follow-upHigher illness severityPredictors of readmissionContinuous EEG recordingsRisk stratificationEEG monitoringCohort studyCritically-illCare unit
2023
The International Cardiac Arrest Research Consortium Electroencephalography Database
Amorim E, Zheng W, Ghassemi M, Aghaeeaval M, Kandhare P, Karukonda V, Lee J, Herman S, Sivaraju A, Gaspard N, Hofmeijer J, van Putten M, Sameni R, Reyna M, Clifford G, Westover M. The International Cardiac Arrest Research Consortium Electroencephalography Database. Critical Care Medicine 2023, 51: 1802-1811. PMID: 37855659, PMCID: PMC10841086, DOI: 10.1097/ccm.0000000000006074.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentComaElectroencephalographyHeart ArrestHumansProspective StudiesRetrospective StudiesConceptsCardiac arrestNeurologic outcomeCerebral Performance Category scaleContinuous electroencephalography monitoringGood functional recoverySevere neurologic disabilityIctal-interictal continuumIndividuals 16 yearsBrain injury researchCardiac arrest researchMost patientsNeurologic disabilityMulticenter cohortSpontaneous circulationComatose patientsFunctional recoveryEpileptiform activityElectroencephalography monitoringTeaching hospitalBackground continuityClinical dataBurst suppressionPatientsEpileptiform patternsSpike frequencyNeurophysiology State Dynamics Underlying Acute Neurologic Recovery After Cardiac Arrest
Amorim E, Zheng W, Jing J, Ghassemi M, Lee J, Wu O, Herman S, Pang T, Sivaraju A, Gaspard N, Hirsch L, Ruijter B, Tjepkema-Cloostermans M, Hofmeijer J, van Putten M, Westover M. Neurophysiology State Dynamics Underlying Acute Neurologic Recovery After Cardiac Arrest. Neurology 2023, 101: e940-e952. PMID: 37414565, PMCID: PMC10501085, DOI: 10.1212/wnl.0000000000207537.Peer-Reviewed Original ResearchDo acute EEG findings add to clinical features in predicting outcomes after status epilepticus and acute symptomatic seizures?
Sivaraju A, Hirsch L. Do acute EEG findings add to clinical features in predicting outcomes after status epilepticus and acute symptomatic seizures? Epilepsy & Behavior 2023, 141: 109134. PMID: 36848748, DOI: 10.1016/j.yebeh.2023.109134.Peer-Reviewed Original ResearchMeSH KeywordsAdultChildElectroencephalographyEpilepsyHumansLong-Term CarePrognosisStatus EpilepticusConceptsAcute symptomatic seizuresAnti-seizure medicationsStatus epilepticusEEG findingsSymptomatic seizuresSeizure clinicFunctional outcomeClinical careLong-term clinical careLife-threatening medical emergencyAcute EEG findingsLondon-Innsbruck ColloquiumSubsequent unprovoked seizuresPoor functional outcomeContinuous EEG monitoringAcute seizuresNonconvulsive seizuresClinical featuresPediatric populationUnprovoked seizuresEpileptiform abnormalitiesEpileptic patternsSpecialty clinicTreatment strategiesPrognostic accuracyImpact of acute symptomatic seizures and their management on patient-reported outcomes after stroke
Punia V, Li Y, Lapin B, Chandan P, Newey C, Hantus S, Dhakar M, Rubinos C, Zafar S, Sivaraju A, Katzan I, investigators F. Impact of acute symptomatic seizures and their management on patient-reported outcomes after stroke. Epilepsy & Behavior 2023, 140: 109115. PMID: 36804847, DOI: 10.1016/j.yebeh.2023.109115.Peer-Reviewed Original ResearchMeSH KeywordsAgedElectroencephalographyFemaleHumansMaleMiddle AgedPatient Reported Outcome MeasuresQuality of LifeRetrospective StudiesSeizuresStrokeConceptsPatient-reported outcome measuresAnti-seizure medicationsAcute symptomatic seizuresOutcome measuresSymptomatic seizuresHospital dischargeASM useExact testFirst patient-reported outcome measureRetrospective cohort studyPatient-reported outcomesStandard of careContinuous EEG monitoringFisher's exact testWilcoxon rank sum testChi-square testRank sum testPROM completionStroke clinicCohort studyRecent strokeStroke patientsNeuro-QoLPhysical functionPatients
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 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