2023
Development and validation of a novel score to predict brain death after out-of-hospital cardiac arrest
Kitlen E, Kim N, Rubenstein A, Keenan C, Garcia G, Khosla A, Johnson J, Miller P, Wira C, Greer D, Gilmore E, Beekman R. Development and validation of a novel score to predict brain death after out-of-hospital cardiac arrest. Resuscitation 2023, 192: 109955. PMID: 37661012, DOI: 10.1016/j.resuscitation.2023.109955.Peer-Reviewed Original ResearchConceptsHospital cardiac arrestBrain deathCardiac arrestOptimal cutEtiology of arrestDeath risk scoreNon-shockable rhythmOperator characteristic curveHours of arrestCenter cohortIndependent predictorsSulcal effacementUnResponsiveness (FOUR) scoreValidation cohortDevelopment cohortMAIN OUTCOMEHigh riskRisk scoreAcademic centersNovel scoreOHCACohortInternal validationRadiology reportsCharacteristic curveValidation of the rCAST score and comparison to the PCAC and FOUR scores for prognostication after out-of-hospital cardiac arrest
Kim N, Kitlen E, Garcia G, Khosla A, Miller P, Johnson J, Wira C, Greer D, Gilmore E, Beekman R. Validation of the rCAST score and comparison to the PCAC and FOUR scores for prognostication after out-of-hospital cardiac arrest. Resuscitation 2023, 188: 109832. PMID: 37178901, DOI: 10.1016/j.resuscitation.2023.109832.Peer-Reviewed Original ResearchConceptsPoor neurologic outcomeUnited States cohortHospital cardiac arrestOHCA patientsNeurologic outcomeCardiac arrestPost-cardiac arrest syndromePoor neurological outcomeScore predictive abilityHospital mortalityNeurological outcomeUnResponsiveness (FOUR) scorePoor outcomeRetrospective studyAccurate outcome predictionPrognostic performanceFull OutlineDeLong testOutcome predictionPatientsMortalityOutcomesScoresCohortPredictive ability
2019
Comparison of machine learning models for seizure prediction in hospitalized patients
Struck AF, Rodriguez‐Ruiz A, Osman G, Gilmore EJ, Haider HA, Dhakar MB, Schrettner M, Lee JW, Gaspard N, Hirsch LJ, Westover MB, Consortium C. Comparison of machine learning models for seizure prediction in hospitalized patients. Annals Of Clinical And Translational Neurology 2019, 6: 1239-1247. PMID: 31353866, PMCID: PMC6649418, DOI: 10.1002/acn3.50817.Peer-Reviewed Original ResearchConceptsLow-risk patientsNegative predictive valueEvaluation cohortContinuous EEGElastic net logistic regressionMulticenter databaseRisk stratificationSeizure riskPatientsPredictive valueComparable AUCSecondary analysisLogistic regressionCohortFirst hourSeizure predictionEEG recordingsEEGRisk calibrationLarge proportionSeizuresComplex neural networks