2024
Cerebral Edema Monitoring and Management Strategies: Results from an International Practice Survey
Greige T, Tao B, Dangayach N, Gilmore E, O’Hana Nobleza C, Hinson H, Chou S, Jha R, Wahlster S, Gebrewold M, Lele A, Ong C. Cerebral Edema Monitoring and Management Strategies: Results from an International Practice Survey. Neurocritical Care 2024, 1-15. PMID: 39085504, DOI: 10.1007/s12028-024-02077-0.Peer-Reviewed Original ResearchCerebral edemaPractice variationLife-threatening complicationsAttending physiciansFactors associated with practice variationFisher's exact testCritically ill patientsUniversity-affiliated centerAcute brain injuryMonitoring cerebral edemaOsmotic therapyExact testDecompressive hemicraniectomyBackgroundCerebral edemaRadiographic findingsTreatment strategiesIll patientsRadiographic indicatorsPractice patternsUniversity affiliationEdemaSociety web sitesLogistic regressionProvider preferencesPractice surveyComparison of induction agents for rapid sequence intubation in refractory status epilepticus: A single-center retrospective analysis
Woodward M, Kardon A, Manners J, Schleicher S, Pergakis M, Ciryam P, Podell J, Denney Zimmerman W, Galvagno S, Butt B, Pritchard J, Parikh G, Gilmore E, Badjatia N, Morris N. Comparison of induction agents for rapid sequence intubation in refractory status epilepticus: A single-center retrospective analysis. Epilepsy & Behavior Reports 2024, 25: 100645. PMID: 38299124, PMCID: PMC10827579, DOI: 10.1016/j.ebr.2024.100645.Peer-Reviewed Original ResearchRefractory status epilepticusNeurocritical care unitEtomidate inductionStatus epilepticusSingle-center retrospective analysisSingle-center retrospective reviewRapid sequence intubationHospital intubationPrimary endpointSeizure cessationAnesthetic medicationsCare unitElectrographic seizuresRetrospective reviewEndotracheal intubationSequence intubationInduction agentRetrospective analysisIntubationHigh incidencePatientsLogistic regressionSeizuresEnriched populationEpilepticus
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