2024
Time to Anticoagulation Reversal and Outcomes After Intracerebral Hemorrhage
Sheth K, Solomon N, Alhanti B, Messe S, Xian Y, Bhatt D, Hemphill J, Frontera J, Chang R, Danelich I, Huang J, Schwamm L, Smith E, Goldstein J, Mac Grory B, Fonarow G, Saver J. Time to Anticoagulation Reversal and Outcomes After Intracerebral Hemorrhage. JAMA Neurology 2024, 81: 363-372. PMID: 38335064, PMCID: PMC11002694, DOI: 10.1001/jamaneurol.2024.0221.Peer-Reviewed Original ResearchDoor-to-treatment timeDoor-to-treatmentUS hospitalsQuality improvement registryOnset-to-treatment timeAmerican Heart AssociationFunctional outcomesLogistic regression modelsAssociated with decreased mortalityGuidelines-StrokeIntracerebral hemorrhageHospital characteristicsImprovement registryIntervention statusMain OutcomesAnticoagulation-associated intracerebral hemorrhageSystolic blood pressureInpatient mortalityRandom interceptCohort studyWhite raceSecondary outcomesStroke subtypesStroke severityWorkflow times
2023
Hospital‐Level Variability in Reporting of Ischemic Stroke Subtypes and Supporting Diagnostic Evaluation in GWTG‐Stroke Registry
Mullen M, Gurol M, Prabhakaran S, Messé S, Kleindorfer D, Smith E, Fonarow G, Xu H, Zhao X, Cigarroa J, Schwamm L. Hospital‐Level Variability in Reporting of Ischemic Stroke Subtypes and Supporting Diagnostic Evaluation in GWTG‐Stroke Registry. Journal Of The American Heart Association 2023, 12: e031303. PMID: 38108258, PMCID: PMC10863791, DOI: 10.1161/jaha.123.031303.Peer-Reviewed Original ResearchConceptsHospital-level variabilityDiagnostic evaluationIschemic strokeDiagnostic testingStroke pathogenesisCryptogenic strokeSecondary preventionEtiologic subtypesRisk factorsLarge nationwide registryIschemic stroke subtypesLong-term cardiac rhythm monitoringCardiac rhythm monitoringAdequate diagnostic evaluationIntracranial vascular imagingEvidence-based interventionsNationwide registryStroke subtypesIS subtypesDocumentation ratesRhythm monitoringPatientsCardiac monitoringSubtypesStroke
2021
Usefulness of Rhythm Monitoring Following Acute Ischemic Stroke
Khurshid S, Li X, Ashburner J, Lipsanopoulos A, Lee P, Lin A, Ko D, Ellinor P, Schwamm L, Benjamin E, Atlas S, Singer D, Anderson C, Trinquart L, Lubitz S. Usefulness of Rhythm Monitoring Following Acute Ischemic Stroke. The American Journal Of Cardiology 2021, 147: 44-51. PMID: 33617814, DOI: 10.1016/j.amjcard.2021.01.038.Peer-Reviewed Original ResearchConceptsAcute ischemic strokeIschemic strokeCryptogenic strokeCause-specific hazards regressionCHARGE-AF scoreAtrial fibrillation riskRisk of deathFine-Gray modelCHARGE-AFIncident AFPrevalent AFDischarge dispositionStroke subtypesConsecutive patientsAF riskHazards regressionStroke survivorsAssessed associationsRhythm monitoringStrokeAF scorePatientsIncidenceOne-thirdRisk
2018
Shock Index Predicts Patient‐Related Clinical Outcomes in Stroke
Myint P, Sheng S, Xian Y, Matsouaka R, Reeves M, Saver J, Bhatt D, Fonarow G, Schwamm L, Smith E. Shock Index Predicts Patient‐Related Clinical Outcomes in Stroke. Journal Of The American Heart Association 2018, 7: e007581. PMID: 30371191, PMCID: PMC6222962, DOI: 10.1161/jaha.117.007581.Peer-Reviewed Original ResearchConceptsShock indexClinical outcomesWorse outcomesPatient-related clinical outcomesHealth Stroke ScaleBlood pressure componentsAcute stroke casesRankin Scale scoreSystolic blood pressureUseful prognostic indicatorMortality prediction modelIndividual stroke subtypesLinear spline modelsHospital mortalityHospital outcomesHospital stayStroke ScaleAcute strokeDischarge destinationBlood pressureStroke subtypesPoint of carePoor outcomePrognostic valueStroke cases
2009
A score to predict early risk of recurrence after ischemic strokeSYMBOLSYMBOL
Ay H, Gungor L, Arsava E, Rosand J, Vangel M, Benner T, Schwamm L, Furie K, Koroshetz W, Sorensen A. A score to predict early risk of recurrence after ischemic strokeSYMBOLSYMBOL. Neurology 2009, 74: 128-135. PMID: 20018608, PMCID: PMC2809031, DOI: 10.1212/wnl.0b013e3181ca9cff.Peer-Reviewed Original ResearchConceptsRecurrent strokeEarly riskPrognostic scoreConsecutive ischemic stroke patientsComprehensive prognostic scoreTIA/strokeAcute stroke careIschemic stroke patientsPredictors of recurrenceRisk of recurrenceCox regression modelEtiologic stroke subtypesPatient management algorithmsBrain infarctsAcute settingIschemic strokeStroke subtypesIndependent predictorsStroke careStroke patientsImaging featuresPrior historySeparate cohortClinical practiceStrokeInfluence of stroke subtype on quality of care in the Get With The Guidelines–Stroke Program
Smith E, Liang L, Hernandez A, Reeves M, Cannon C, Fonarow G, Schwamm L. Influence of stroke subtype on quality of care in the Get With The Guidelines–Stroke Program. Neurology 2009, 73: 709-716. PMID: 19720978, PMCID: PMC2734292, DOI: 10.1212/wnl.0b013e3181b59a6e.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCerebral HemorrhageEmergency Medical ServicesFemaleGuideline AdherenceHospitalsHumansMaleMiddle AgedOutcome Assessment, Health CarePractice Guidelines as TopicQuality Assurance, Health CareQuality of Health CareRisk Reduction BehaviorSmoking CessationStrokeSubarachnoid HemorrhageUnited StatesVenous ThrombosisConceptsQuality of careIS/TIAIntracerebral hemorrhageIschemic strokeStroke subtypesTIA admissionsHemorrhagic strokeCare measuresDeep venous thrombosis preventionHospital-based acute careGuidelines-Stroke databaseGuidelines-Stroke programGWTG-Stroke programVenous thrombosis preventionSmoking cessation therapyMeasures of careLogistic regression modelsDVT preventionIneligible patientsNational GetDysphagia screeningCessation therapySAH patientsAcute careICH patients