2023
A privacy-preserving and computation-efficient federated algorithm for generalized linear mixed models to analyze correlated electronic health records data
Yan Z, Zachrison K, Schwamm L, Estrada J, Duan R. A privacy-preserving and computation-efficient federated algorithm for generalized linear mixed models to analyze correlated electronic health records data. PLOS ONE 2023, 18: e0280192. PMID: 36649349, PMCID: PMC9844867, DOI: 10.1371/journal.pone.0280192.Peer-Reviewed Original ResearchConceptsFederated algorithmPrivacy-preserving data integrationEHR dataElectronic health record dataComputation resource requirementsHealth record dataLongitudinal EHR dataPrivacy protectionData integrationResource requirementsMultiple healthcare facilitiesNumerical experimentsComputational efficiencyGeneralized linear mixed modelRecord dataCorrelated dataSite‐level heterogeneityAlgorithmNetworkSummary statisticsResearch NetworkLimited amountDatasetLinear mixed modelsGLMM
2019
Corticospinal Tract Injury Estimated From Acute Stroke Imaging Predicts Upper Extremity Motor Recovery After Stroke
Lin D, Cloutier A, Erler K, Cassidy J, Snider S, Ranford J, Parlman K, Giatsidis F, Burke J, Schwamm L, Finklestein S, Hochberg L, Cramer S. Corticospinal Tract Injury Estimated From Acute Stroke Imaging Predicts Upper Extremity Motor Recovery After Stroke. Stroke 2019, 50: 3569-3577. PMID: 31648631, PMCID: PMC6878199, DOI: 10.1161/strokeaha.119.025898.Peer-Reviewed Original ResearchConceptsUpper extremity motor recoveryAcute stroke hospitalizationCST injuryMotor recoveryCorticospinal tractStroke hospitalizationsPremotor cortexPrimary motorUpper extremity Fugl-MeyerAcute Stroke ImagingAcute stroke workupUpper extremity weaknessUpper extremity recoveryCorticospinal tract injuryExtent of injuryStroke standardsExtremity weaknessStroke workupTract injuryIschemic strokeFugl-MeyerInitial impairmentPredictive valueInjuryStroke imaging
2013
Relationship of Race/Ethnicity With Door‐to‐Balloon Time and Mortality in Patients Undergoing Primary Percutaneous Coronary Intervention for ST‐Elevation Myocardial Infarction: Findings From Get With the Guidelines–Coronary Artery Disease
Cavender M, Rassi A, Fonarow G, Cannon C, Peacock W, Laskey W, Hernandez A, Peterson E, Cox M, Grau‐Sepulveda M, Schwamm L, Bhatt D. Relationship of Race/Ethnicity With Door‐to‐Balloon Time and Mortality in Patients Undergoing Primary Percutaneous Coronary Intervention for ST‐Elevation Myocardial Infarction: Findings From Get With the Guidelines–Coronary Artery Disease. Clinical Cardiology 2013, 36: 749-756. PMID: 24085713, PMCID: PMC6649362, DOI: 10.1002/clc.22213.Peer-Reviewed Original ResearchMeSH KeywordsAgedBlack or African AmericanChi-Square DistributionFemaleGuideline AdherenceHealth Services AccessibilityHealthcare DisparitiesHispanic or LatinoHospital MortalityHumansLinear ModelsLogistic ModelsMaleMiddle AgedMultivariate AnalysisMyocardial InfarctionOdds RatioPercutaneous Coronary InterventionPractice Guidelines as TopicProspective StudiesRegistriesRisk FactorsTime FactorsTime-to-TreatmentTreatment OutcomeUnited StatesWhite PeopleConceptsPrimary percutaneous coronary interventionPrimary PCIST-elevation myocardial infarctionDTB timeMedian DTB timeRace/ethnicityPercutaneous coronary interventionCoronary interventionArtery diseaseBalloon timeMyocardial infarctionGuidelines-Coronary Artery DiseaseProportion of patientsAfrican American raceAfrican AmericansAfrican American femalesDifferent races/ethnicitiesHospital mortalityD2B timeHispanic patientsHispanic ethnicityLower oddsAmerican racePatientsCrude differences
2012
Use of Tissue-Type Plasminogen Activator Before and After Publication of the European Cooperative Acute Stroke Study III in Get With The Guidelines-Stroke
Messé S, Fonarow G, Smith E, Kaltenbach L, Olson D, Kasner S, Schwamm L. Use of Tissue-Type Plasminogen Activator Before and After Publication of the European Cooperative Acute Stroke Study III in Get With The Guidelines-Stroke. Circulation Cardiovascular Quality And Outcomes 2012, 5: 321-326. PMID: 22550132, DOI: 10.1161/circoutcomes.111.964064.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overEuropeFemaleFibrinolytic AgentsGuideline AdherenceHumansInfusions, IntravenousLinear ModelsMaleMiddle AgedMultivariate AnalysisOdds RatioOutcome and Process Assessment, Health CarePractice Guidelines as TopicStrokeThrombolytic TherapyTime FactorsTissue Plasminogen ActivatorTreatment OutcomeUnited StatesConceptsAcute ischemic strokeEuropean Cooperative Acute Stroke Study (ECASS) IIIECASS IIITreatment of patientsUse of tPAEligible patientsHours of AISProportion of patientsStudy IIITissue-type plasminogen activatorGuidelines-StrokeIschemic strokeMedian doorNeedle timePatientsClinical practiceTreatment ratesPlasminogen activatorSignificant increaseHoursLater time windowAdverse affectsTPATreatmentProportionPredictors of Increased Intravenous Tissue Plasminogen Activator Use Among Hospitals Participating in the Massachusetts Primary Stroke Service Program
Rost N, Smith E, Pervez M, Mello P, Dreyer P, Schwamm L. Predictors of Increased Intravenous Tissue Plasminogen Activator Use Among Hospitals Participating in the Massachusetts Primary Stroke Service Program. Circulation Cardiovascular Quality And Outcomes 2012, 5: 314-320. PMID: 22534407, PMCID: PMC3361890, DOI: 10.1161/circoutcomes.111.962829.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overEmergency Service, HospitalFemaleFibrinolytic AgentsHealthcare DisparitiesHumansInfusions, IntravenousLinear ModelsLogistic ModelsMaleMassachusettsMiddle AgedMultivariate AnalysisOdds RatioPatient SelectionPractice Guidelines as TopicQuality ImprovementRegional Medical ProgramsRetrospective StudiesRisk AssessmentRisk FactorsStrokeThrombolytic TherapyTime FactorsTissue Plasminogen ActivatorTreatment OutcomeConceptsIntravenous tissue plasminogen activator useTissue plasminogen activator useAcute ischemic strokeTPA useIschemic strokeOlder acute ischemic stroke patientsAcute ischemic stroke patientsGuidelines-Stroke programStroke center designationIschemic stroke patientsRate of thrombolysisQuality improvement initiativesEmergency medical servicesStroke onsetSymptom onsetStroke patientsTreatment disparitiesCenter designationPatientsHospitalMassachusetts DepartmentImprovement initiativesMedical servicesOverall rateFurther studies
2010
Patient-Level and Hospital-Level Determinants of the Quality of Acute Stroke Care
Reeves M, Gargano J, Maier K, Broderick J, Frankel M, LaBresh K, Moomaw C, Schwamm L. Patient-Level and Hospital-Level Determinants of the Quality of Acute Stroke Care. Stroke 2010, 41: 2924-2931. PMID: 20966407, DOI: 10.1161/strokeaha.110.598664.Peer-Reviewed Original ResearchConceptsHospital-level determinantsAcute stroke careQuality of careStroke RegistryStroke carePatient levelPaul Coverdell National Acute Stroke RegistryNational Acute Stroke RegistryAcute Stroke RegistryHospital-level factorsPatient-level factorsHospital-level variablesPatient-level variablesComposite scoreMultilevel linear regression analysesMean composite scoreTIA admissionsHospital factorsIschemic strokeStatus documentationRegistry dataLinear regression analysisHospitalNeurologist involvementSmall hospitals