2014
The TeleStroke Mimic (TM)‐Score: A Prediction Rule for Identifying Stroke Mimics Evaluated in a Telestroke Network
Ali SF, Viswanathan A, Singhal AB, Rost NS, Forducey PG, Davis LW, Schindler J, Likosky W, Schlegel S, Solenski N, Schwamm LH, Network O. The TeleStroke Mimic (TM)‐Score: A Prediction Rule for Identifying Stroke Mimics Evaluated in a Telestroke Network. Journal Of The American Heart Association 2014, 3: e000838. PMID: 24958778, PMCID: PMC4309074, DOI: 10.1161/jaha.114.000838.Peer-Reviewed Original ResearchMeSH KeywordsAgedBrain IschemiaDecision Support TechniquesFemaleHumansMaleModels, StatisticalProspective StudiesReproducibility of ResultsStrokeTelemedicineConceptsStroke mimicsIschemic cerebrovascular diseaseTelestroke networkReceiver-operating characteristic curve analysisCurve analysisHealth Stroke ScaleVascular risk profileVascular risk factorsAcute stroke evaluationExternal validation cohortFinal clinical diagnosisLower mean ageROC curve analysisCharacteristic curve analysisStepwise logistic regressionTelestroke consultationStroke ScaleFacial weaknessConsecutive patientsDerivation cohortPrior seizuresStroke evaluationAlternate diagnosisCerebrovascular diseaseValidation cohort
2013
Impact on Clinical and Cost Outcomes of a Centralized Approach to Acute Stroke Care in London: A Comparative Effectiveness Before and After Model
Hunter R, Davie C, Rudd A, Thompson A, Walker H, Thomson N, Mountford J, Schwamm L, Deanfield J, Thompson K, Dewan B, Mistry M, Quoraishi S, Morris S. Impact on Clinical and Cost Outcomes of a Centralized Approach to Acute Stroke Care in London: A Comparative Effectiveness Before and After Model. PLOS ONE 2013, 8: e70420. PMID: 23936427, PMCID: PMC3731285, DOI: 10.1371/journal.pone.0070420.Peer-Reviewed Original ResearchMeSH KeywordsAgedCost-Benefit AnalysisFemaleHumansKaplan-Meier EstimateLondonMaleModels, StatisticalPatient AdmissionRegistriesStrokeTreatment OutcomeConceptsAcute stroke careHyper-acute stroke unitLength of stayStroke careStroke patientsReduced hospital lengthAcute stroke patientsNational time trendsDecision analytic modelHospital lengthPatient characteristicsStroke RegisterStroke unitClinical outcomesSpecialist careLocal hospitalPatientsSurvival rateComparative effectivenessCost outcomesSurvival analysisStayTotal cost savingsMortalityCare
2010
Risk Score for In-Hospital Ischemic Stroke Mortality Derived and Validated Within the Get With The Guidelines–Stroke Program
Smith E, Shobha N, Dai D, Olson D, Reeves M, Saver J, Hernandez A, Peterson E, Fonarow G, Schwamm L. Risk Score for In-Hospital Ischemic Stroke Mortality Derived and Validated Within the Get With The Guidelines–Stroke Program. Circulation 2010, 122: 1496-1504. PMID: 20876438, DOI: 10.1161/circulationaha.109.932822.Peer-Reviewed Original ResearchConceptsShort-term mortality riskIschemic stroke mortalityNIHSS scoreHospital mortalityC-statisticStroke mortalityPatients' short-term mortality riskHealth Stroke Scale scoreGuidelines-Stroke programHistory of dyslipidemiaValidate prediction modelsMortality risk stratificationStroke Scale scoreIschemic stroke patientsPeripheral vascular diseasePrevious myocardial infarctionPractical bedside toolValidation sampleCurrent smokingIschemic strokeDiabetes mellitusIndependent predictorsPrevious strokeRisk stratificationAtrial fibrillation
2001
Predicting Tissue Outcome in Acute Human Cerebral Ischemia Using Combined Diffusion- and Perfusion-Weighted MR Imaging
Wu O, Koroshetz W, Østergaard L, Buonanno F, Copen W, Gonzalez R, Rordorf G, Rosen B, Schwamm L, Weisskoff R, Sorensen A. Predicting Tissue Outcome in Acute Human Cerebral Ischemia Using Combined Diffusion- and Perfusion-Weighted MR Imaging. Stroke 2001, 32: 933-942. PMID: 11283394, DOI: 10.1161/01.str.32.4.933.Peer-Reviewed Original Research