2023
Development and validation of a model predicting mild stroke severity on admission using electronic health record data
Waddell K, Myers L, Perkins A, Sico J, Sexson A, Burrone L, Taylor S, Koo B, Daggy J, Bravata D. Development and validation of a model predicting mild stroke severity on admission using electronic health record data. Journal Of Stroke And Cerebrovascular Diseases 2023, 32: 107255. PMID: 37473533, DOI: 10.1016/j.jstrokecerebrovasdis.2023.107255.Peer-Reviewed Original ResearchConceptsInitial stroke severityStroke severityElectronic health record dataHealth record dataSevere strokeIschemic strokeStroke careSample patientsMortality risk stratificationRecord dataVeterans Affairs hospitalMild stroke severityMultiple logistic regressionObservational cohortStroke outcomeIndependent predictorsRisk stratificationEHR data elementsPrimary analysisLogistic regressionStrokeValidation sampleSeverityPotent modifierEHR data
2016
Using Radiological Data to Estimate Ischemic Stroke Severity
Sico JJ, Phipps MS, Concato J, Brandt C, Wells CK, Lo AC, Nadeau SE, Williams LS, Gorman M, Boice JL, Bravata DM. Using Radiological Data to Estimate Ischemic Stroke Severity. Journal Of Stroke And Cerebrovascular Diseases 2016, 25: 792-798. PMID: 26794264, DOI: 10.1016/j.jstrokecerebrovasdis.2015.12.002.Peer-Reviewed Original ResearchConceptsStroke severityHospital mortalityStroke patientsC-statisticAcute ischemic stroke patientsStroke care qualityIschemic stroke patientsChart review dataIschemic stroke severityElectronic health recordsAdmission headSevere strokePoststroke mortalityAbnormal findingsValid measurePatient levelRadiographic scoresRadiological dataRadiographic dataRadiographic measuresCare qualityRisk adjustmentSeverityHealth recordsMortality