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
2012
Acute Effects of Nimodipine on Cerebral Vasculature and Brain Metabolism in High Grade Subarachnoid Hemorrhage Patients
Choi HA, Ko SB, Chen H, Gilmore E, Carpenter AM, Lee D, Claassen J, Mayer SA, Schmidt JM, Lee K, Connelly ES, Paik M, Badjatia N. Acute Effects of Nimodipine on Cerebral Vasculature and Brain Metabolism in High Grade Subarachnoid Hemorrhage Patients. Neurocritical Care 2012, 16: 363-367. PMID: 22262041, DOI: 10.1007/s12028-012-9670-8.Peer-Reviewed Original ResearchConceptsPoor-grade subarachnoid hemorrhageOral nimodipineSubarachnoid hemorrhageMmHg decreasePoor-grade SAH patientsDoses of nimodipineAdministration of nimodipineAneurysmal subarachnoid hemorrhageSubarachnoid hemorrhage patientsRoutine clinical careAcute PhysiologicAdequate CBFNimodipine administrationOnly medicationHemorrhage patientsMultimodality monitoringSAH patientsVasopressor medicationsBrain metabolismAcute effectsObservational studyMetabolic effectsCerebral vasculatureClinical careNimodipine