2024
Association of Traditional and Nontraditional Risk Factors in the Development of Strokes Among Young Adults by Sex and Age Group: A Retrospective Case-Control Study
Leppert M, Poisson S, Scarbro S, Suresh K, Lisabeth L, Putaala J, Schwamm L, Daugherty S, Bradley C, Burke J, Ho P. Association of Traditional and Nontraditional Risk Factors in the Development of Strokes Among Young Adults by Sex and Age Group: A Retrospective Case-Control Study. Circulation Cardiovascular Quality And Outcomes 2024, 17: e010307. PMID: 38529631, PMCID: PMC11021148, DOI: 10.1161/circoutcomes.123.010307.Peer-Reviewed Original ResearchConceptsTraditional risk factorsDevelopment of strokeNontraditional risk factorsCase-control studyRisk factorsRetrospective case-control studyAge groupsContribution of traditional risk factorsYoung adultsConditional logistic regression modelsPopulation attributable riskCount of risk factorsStroke-free controlsAll Payer Claims DatabaseAssociation of strokeColorado All Payer Claims DatabaseLogistic regression modelsPayer Claims DatabaseIncreased risk of strokeAttributable riskRisk of strokeStroke eventsYears of ageInsurance typeIncreased risk
2022
Systematic Review of Sex Differences in Ischemic Strokes Among Young Adults: Are Young Women Disproportionately at Risk?
Leppert M, Burke J, Lisabeth L, Madsen T, Kleindorfer D, Sillau S, Schwamm L, Daugherty S, Bradley C, Ho P, Poisson S. Systematic Review of Sex Differences in Ischemic Strokes Among Young Adults: Are Young Women Disproportionately at Risk? Stroke 2022, 53: 319-327. PMID: 35073188, PMCID: PMC8852306, DOI: 10.1161/strokeaha.121.037117.Peer-Reviewed Original ResearchConceptsIschemic strokeIncidence rate ratiosYoung adultsStroke incidenceSex-specific incidence rate ratiosSystematic reviewAge groupsSex differencesYoung womenMore womenRate ratioAdults 35Incidence rateStroke typeHigh riskAge adjustmentStrokeSignificant sex differencesRelevant articlesMore menWomenNonsignificant sex differencesAdultsRecent evidenceMen
2021
Association of Physician Characteristics With Early Adoption of Virtual Health Care
Zachrison K, Yan Z, Samuels-Kalow M, Licurse A, Zuccotti G, Schwamm L. Association of Physician Characteristics With Early Adoption of Virtual Health Care. JAMA Network Open 2021, 4: e2141625. PMID: 34967876, PMCID: PMC8719243, DOI: 10.1001/jamanetworkopen.2021.41625.Peer-Reviewed Original ResearchConceptsVirtual health careCross-sectional studyHealth care systemPatient characteristicsHealth carePhysician characteristicsLarge regional health care systemRetrospective cross-sectional studyBehavioral healthCare systemSurgical specialtiesHealth system databasePhysician-level variationRegional health care systemAmbulatory visitsPrimary careHealth physiciansPatient's abilityAmbulatory careMAIN OUTCOMEGreater oddsAmbulatory practiceBivariate comparisonsPhysiciansHospital affiliation
2017
Increase in Endovascular Therapy in Get With The Guidelines-Stroke After the Publication of Pivotal Trials
Smith E, Saver J, Cox M, Liang L, Matsouaka R, Xian Y, Bhatt D, Fonarow G, Schwamm L. Increase in Endovascular Therapy in Get With The Guidelines-Stroke After the Publication of Pivotal Trials. Circulation 2017, 136: 2303-2310. PMID: 28982689, DOI: 10.1161/circulationaha.117.031097.Peer-Reviewed Original ResearchConceptsEndovascular thrombectomyEVT useEligible patientsIschemic strokePivotal trialsCase volumeStroke systemsHealth Stroke Scale scoreGuidelines-Stroke programStroke Scale scoreMean case volumeGuidelines-StrokeEndovascular therapyMore patientsPatient eligibilityPatientsClinical practiceScale scoreHospitalStrokeTrialsNational InstituteStroke durationLinear regressionThrombectomyTranslational Stroke Research
Bosetti F, Koenig J, Ayata C, Back S, Becker K, Broderick J, Carmichael S, Cho S, Cipolla M, Corbett D, Corriveau R, Cramer S, Ferguson A, Finklestein S, Ford B, Furie K, Hemmen T, Iadecola C, Jakeman L, Janis S, Jauch E, Johnston K, Kochanek P, Kohn H, Lo E, Lyden P, Mallard C, McCullough L, McGavern L, Meschia J, Moy C, Perez-Pinzon M, Ramadan I, Savitz S, Schwamm L, Steinberg G, Stenzel-Poore M, Tymianski M, Warach S, Wechsler L, Zhang J, Koroshetz W. Translational Stroke Research. Stroke 2017, 48: 2632-2637. PMID: 28751554, PMCID: PMC5599159, DOI: 10.1161/strokeaha.117.017112.Peer-Reviewed Original Research
2016
Sex and Age Interactions and Differences in Outcomes After Intracerebral Hemorrhage
James M, Cox M, Xian Y, Smith E, Bhatt D, Schulte P, Hernandez A, Fonarow G, Schwamm L. Sex and Age Interactions and Differences in Outcomes After Intracerebral Hemorrhage. Journal Of Women's Health 2016, 26: 380-388. PMID: 27754758, DOI: 10.1089/jwh.2016.5849.Peer-Reviewed Original ResearchConceptsIntracerebral hemorrhageSex-based interactionsTotal study populationWorse neurological deficitsAge/sexSex differencesAntiplatelet therapyHospital mortalityIschemic strokeNeurological deficitsPatient ageIndependent ambulationICH patientsStroke databaseAtrial fibrillationEarly outcomesPoor outcomeStudy populationCholesterol reducersLogistic regressionWomenTreatment differencesAgeMenHemorrhage
2015
Racial/Ethnic and Sex Differences in Emergency Medical Services Transport Among Hospitalized US Stroke Patients: Analysis of the National Get With The Guidelines–Stroke Registry
Mochari-Greenberger H, Xian Y, Hellkamp A, Schulte P, Bhatt D, Fonarow G, Saver J, Reeves M, Schwamm L, Smith E. Racial/Ethnic and Sex Differences in Emergency Medical Services Transport Among Hospitalized US Stroke Patients: Analysis of the National Get With The Guidelines–Stroke Registry. Journal Of The American Heart Association 2015, 4: e002099. PMID: 26268882, PMCID: PMC4599467, DOI: 10.1161/jaha.115.002099.Peer-Reviewed Original ResearchMeSH KeywordsAgedAsianBlack or African AmericanChi-Square DistributionEmergency Medical ServicesFemaleHealth Knowledge, Attitudes, PracticeHispanic or LatinoHospitalizationHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisOdds RatioPatient Acceptance of Health CareRegistriesSex FactorsStrokeTransportation of PatientsUnited StatesWhite PeopleConceptsEmergency medical servicesStroke patientsStroke symptomsEMS useRace/ethnicityHospitalized acute stroke patientsEmergency medical services transportWhite womenGuidelines-Stroke registryAcute stroke patientsMultivariable logistic regressionLevel of consciousnessSex differencesGuidelines-StrokeNational GetIschemic strokeStroke outcomePatient characteristicsPotential confoundersMedical historyEMS transportSex disparitiesPatientsHispanic menLogistic regression
2013
Factors Influencing the Decline in Stroke Mortality
Lackland DT, Roccella EJ, Deutsch AF, Fornage M, George MG, Howard G, Kissela BM, Kittner SJ, Lichtman JH, Lisabeth LD, Schwamm LH, Smith EE, Towfighi A. Factors Influencing the Decline in Stroke Mortality. Stroke 2013, 45: 315-353. PMID: 24309587, PMCID: PMC5995123, DOI: 10.1161/01.str.0000437068.30550.cf.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsAgedAged, 80 and overAir PollutionAmerican Heart AssociationAspirinAssociationAtrial FibrillationBlood PressureClinical Trials as TopicDiabetes MellitusExerciseFemaleHeart DiseasesHumansHyperlipidemiasHypertensionIncidenceInternational Classification of DiseasesMaleMiddle AgedObesityObservational Studies as TopicPlatelet Aggregation InhibitorsPopulationPrevalenceSecondary PreventionSex FactorsSmokingStrokeThrombolytic TherapyUnited StatesYoung AdultConceptsStroke mortalityCause of deathStroke riskAmerican Heart Association Stroke Council's Scientific Statement Oversight CommitteeAmerican Heart Association's Manuscript Oversight CommitteeAmerican Heart Association Science AdvisoryScientific Statements Oversight Committee reviewStroke Council Leadership reviewLower case fatality rateEvidence-based public health programsMajor public health burdenControl of hypertensionChronic lung diseaseFourth leading causeCase fatality rateTreatment of hypertensionPublic health burdenWriting group membersAttributable risk estimatesPublic health guidelinesYears of ageMajor public healthPublic health programsCombination of interventionsDyslipidemia controlRelationship between sex, ejection fraction, and B-type natriuretic peptide levels in patients hospitalized with heart failure and associations with inhospital outcomes: Findings from the Get With The Guideline–Heart Failure Registry
Hsich E, Grau-Sepulveda M, Hernandez A, Eapen Z, Xian Y, Schwamm L, Bhatt D, Fonarow G. Relationship between sex, ejection fraction, and B-type natriuretic peptide levels in patients hospitalized with heart failure and associations with inhospital outcomes: Findings from the Get With The Guideline–Heart Failure Registry. American Heart Journal 2013, 166: 1063-1071.e3. PMID: 24268222, DOI: 10.1016/j.ahj.2013.08.029.Peer-Reviewed Original ResearchConceptsB-type natriuretic peptide levelsMedian BNP levelNatriuretic peptide levelsEjection fractionInhospital mortalityHeart failureBNP levelsHF patientsPeptide levelsPlasma B-type natriuretic peptide (BNP) levelsGuidelines-Heart Failure registryGuidelines-Heart FailurePrimary end pointInhospital outcomesBNP valuesHospital clusteringPrognostic significanceClinical variablesLarge registriesOdds ratioPatientsBNPHigh mortalityEnd pointMortalityRisk-Standardizing Survival for In-Hospital Cardiac Arrest to Facilitate Hospital Comparisons
Chan P, Berg R, Spertus J, Schwamm L, Bhatt D, Fonarow G, Heidenreich P, Nallamothu B, Tang F, Merchant R, Investigators A. Risk-Standardizing Survival for In-Hospital Cardiac Arrest to Facilitate Hospital Comparisons. Journal Of The American College Of Cardiology 2013, 62: 601-609. PMID: 23770167, PMCID: PMC3769937, DOI: 10.1016/j.jacc.2013.05.051.Peer-Reviewed Original Research
2012
Age and Gender Differences in Quality of Care and Outcomes for Patients with ST-segment Elevation Myocardial Infarction
Bangalore S, Fonarow G, Peterson E, Hellkamp A, Hernandez A, Laskey W, Peacock W, Cannon C, Schwamm L, Bhatt D, Committee and Investigators G. Age and Gender Differences in Quality of Care and Outcomes for Patients with ST-segment Elevation Myocardial Infarction. The American Journal Of Medicine 2012, 125: 1000-1009. PMID: 22748404, DOI: 10.1016/j.amjmed.2011.11.016.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedAged, 80 and overCohort StudiesFemaleGuideline AdherenceHealthcare DisparitiesHospital MortalityHumansMaleMiddle AgedMultivariate AnalysisMyocardial InfarctionOutcome and Process Assessment, Health CarePractice Guidelines as TopicPrognosisQuality Indicators, Health CareRegistriesRisk FactorsSex FactorsUnited StatesConceptsST-segment elevation myocardial infarctionElevation myocardial infarctionQuality of careYounger patientsMyocardial infarctionHospital outcomesOlder patientsST-segment elevation myocardial infarction casesGuidelines-Coronary Artery Disease registryTraditional cardiovascular risk factorsCoronary Artery Disease registryCardiovascular risk factorsAmerican Heart AssociationMyocardial infarction casesOlder counterpartsYounger cohortsTime trend analysisHospital mortalityHospital deathHeart AssociationRisk factorsWorse outcomesInfarction casesThrombolytic timeDisease RegistryPredictors of Rapid Brain Imaging in Acute Stroke
Kelly A, Hellkamp A, Olson D, Smith E, Schwamm L. Predictors of Rapid Brain Imaging in Acute Stroke. Stroke 2012, 43: 1279-1284. PMID: 22442169, DOI: 10.1161/strokeaha.111.626374.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedDiabetes MellitusEmergency Service, HospitalFemaleFibrinolytic AgentsGuideline AdherenceHumansMagnetic Resonance ImagingMaleMultivariate AnalysisNeuroimagingPractice Guidelines as TopicRacial GroupsRetrospective StudiesSex FactorsStrokeThrombolytic TherapyTime FactorsTissue Plasminogen ActivatorTomography, X-Ray ComputedConceptsEmergency department arrivalBrain imagingSymptom onsetHealth Stroke Scale scoreFuture quality improvement initiativesGuidelines-Stroke programStroke Scale scoreStroke symptom onsetAcute stroke symptomsHistory of diabetesPeripheral vascular diseaseMultivariable logistic regressionQuality improvement initiativesEffectiveness of thrombolysisOverall imaging rateProsthetic heart valvesPredictive variablesAcute strokeMost patientsHospital clusteringIndependent predictorsStroke symptomsNonwhite raceEmergency departmentVascular diseaseSex differences in in-hospital mortality in acute decompensated heart failure with reduced and preserved ejection fraction
Hsich E, Grau-Sepulveda M, Hernandez A, Peterson E, Schwamm L, Bhatt D, Fonarow G. Sex differences in in-hospital mortality in acute decompensated heart failure with reduced and preserved ejection fraction. American Heart Journal 2012, 163: 430-437.e3. PMID: 22424014, DOI: 10.1016/j.ahj.2011.12.013.Peer-Reviewed Original ResearchConceptsHospital mortalityHeart failureRisk factorsHF patientsEjection fractionAcute decompensated heart failureRenal failure/dialysisGuidelines-Heart FailureDecompensated heart failurePrimary end pointPeripheral vascular diseaseSystolic blood pressureCoronary artery diseaseValvular heart diseaseEquation logistic modelsSex differencesMulticenter registryBaseline characteristicsArtery diseaseBlood pressureHospital clusteringHospitalized patientsStudy cohortVascular diseaseHeart disease
2011
Thrombolysis Treatment for Acute Stroke: Issues of Efficacy and Utilization in Women
Reeves M, Wilkins T, Lisabeth L, Schwamm L. Thrombolysis Treatment for Acute Stroke: Issues of Efficacy and Utilization in Women. Women's Health 2011, 7: 383-390. PMID: 21612358, DOI: 10.2217/whe.11.31.Peer-Reviewed Original ResearchConceptsThrombolysis treatmentIschemic strokeObservational studyTPA treatmentSex differencesAcute ischemic strokeComparable control groupImportant sex differencesIssues of efficacyThrombolysis trialsAcute strokeStroke communityTreatment efficacyControl groupGreater efficacyTrial dataStrokeWomenEfficacyLow utilizationGood evidenceMore studiesTreatmentMenWide variability
2010
Patterns and Predictors of Discharge Statin Prescription Among Hospitalized Patients With Intracerebral Hemorrhage
Ovbiagele B, Schwamm L, Smith E, Hernandez A, Olson D, Pan W, Fonarow G, Saver J. Patterns and Predictors of Discharge Statin Prescription Among Hospitalized Patients With Intracerebral Hemorrhage. Stroke 2010, 41: 2271-2277. PMID: 20724709, DOI: 10.1161/strokeaha.110.593228.Peer-Reviewed Original ResearchConceptsDischarge statin prescriptionStatin prescriptionIntracerebral hemorrhageStatin useStatin treatmentPrior stroke/transient ischemic attackStroke/transient ischemic attackCholesterol Levels (SPARCL) trialStatin treatment armsLogistic multivariable regression modelsTransient ischemic attackHemorrhagic stroke riskHigher future riskMultivariable regression modelsGuidelines-StrokeIschemic attackEligible patientsStroke preventionIschemic eventsStroke riskHospitalized patientsHemorrhagic strokeTreatment armsMean ageFemale sex
2008
Off-Hour Admission and In-Hospital Stroke Case Fatality in the Get With The Guidelines-Stroke Program
Reeves M, Smith E, Fonarow G, Hernandez A, Pan W, Schwamm L. Off-Hour Admission and In-Hospital Stroke Case Fatality in the Get With The Guidelines-Stroke Program. Stroke 2008, 40: 569-576. PMID: 18988914, DOI: 10.1161/strokeaha.108.519355.Peer-Reviewed Original ResearchConceptsHemorrhagic stroke admissionsOff-hour presentationIschemic stroke admissionsQuality of careHospital case fatalityStroke admissionsHospital mortalityHours presentationCase fatalityIschemic strokeHospital case fatality rateGuidelines-Stroke programGWTG-Stroke programHospital-based outcomesAcute ischemic strokeHospital-level factorsStroke case fatalityTime of presentationCase fatality rateEquation logistic regressionQuality improvement effortsStroke ProgramAcute strokeHemorrhagic strokeHours admission