2024
Association of marital/partner status with hospital readmission among young adults with acute myocardial infarction.
Zhu C, Dreyer R, Li F, Spatz E, Caraballo C, Mahajan S, Raparelli V, Leifheit E, Lu Y, Krumholz H, Spertus J, D'Onofrio G, Pilote L, Lichtman J. Association of marital/partner status with hospital readmission among young adults with acute myocardial infarction. PLOS ONE 2024, 19: e0287949. PMID: 38277368, PMCID: PMC10817183, DOI: 10.1371/journal.pone.0287949.Peer-Reviewed Original ResearchConceptsMarital/partner statusPsychosocial factorsAcute myocardial infarctionYoung adultsHospital dischargeYear of hospital dischargeYoung acute myocardial infarctionAssociated with 1.3-foldCohort of young adultsLong-term readmissionCox proportional hazards modelsStatus interactionSimilar-aged menMyocardial infarctionProportional hazards modelUnpartnered statusPatient interviewsPhysician panelCardiovascular healthHospital readmissionSocioeconomic factorsAMI survivorsSequential adjustmentCardiac readmissionMultiple imputation
2022
Cardiovascular Risk Factor Profiles, Emergency Department Visits, and Hospitalizations for Women and Men with a History of Stroke or Transient Ischemic Attack: A Cross-Sectional Study
Chang TE, Goldstein LB, Leifheit EC, Howard VJ, Lichtman JH. Cardiovascular Risk Factor Profiles, Emergency Department Visits, and Hospitalizations for Women and Men with a History of Stroke or Transient Ischemic Attack: A Cross-Sectional Study. Journal Of Women's Health 2022, 31: 834-841. PMID: 35148481, DOI: 10.1089/jwh.2021.0471.Peer-Reviewed Original ResearchConceptsStroke/transient ischemic attackTransient ischemic attackPrior stroke/transient ischemic attackCause ED visitsEmergency department visitsHealth care utilizationCross-sectional studyCause hospitalizationED visitsIschemic attackDepartment visitsCare utilizationCVD-RFsCardiovascular risk factor profileCardiovascular disease risk factorsCovariate-adjusted logistic regression modelsCause emergency department visitsHigher health care utilizationMedical Expenditure Panel Survey dataRisk factor profileDisease risk factorsHistory of strokeOdds of hospitalizationRepresentative Medical Expenditure Panel Survey dataSex-specific predictors
2021
Adherence to Acute Care Measures Affects Mortality in Patients with Ischemic Stroke: The Florida Stroke Registry
Gardener H, Rundek T, Lichtman J, Leifheit E, Wang K, Asdaghi N, Romano JG, Sacco RL. Adherence to Acute Care Measures Affects Mortality in Patients with Ischemic Stroke: The Florida Stroke Registry. Journal Of Stroke And Cerebrovascular Diseases 2021, 30: 105586. PMID: 33412397, PMCID: PMC7880890, DOI: 10.1016/j.jstrokecerebrovasdis.2020.105586.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overFemaleFibrinolytic AgentsFloridaGuideline AdherenceHealthcare DisparitiesHospital MortalityHumansHydroxymethylglutaryl-CoA Reductase InhibitorsIschemic StrokeMaleMedicarePatient ReadmissionPractice Guidelines as TopicPractice Patterns, Physicians'Quality ImprovementQuality Indicators, Health CareRegistriesRisk AssessmentRisk FactorsRisk Reduction BehaviorSmoking CessationThrombolytic TherapyTime FactorsTreatment OutcomeUnited StatesConceptsAcute care measuresFlorida Stroke RegistryHospital readmissionCare measuresStatin therapyRace/ethnicityStroke RegistryAntithrombotic therapyIschemic strokeAntithrombotic useStroke careIntravenous alteplase treatmentMedicare beneficiaries ageAcute stroke careIschemic stroke patientsLong-term mortalityVascular risk factorsRace/ethnic disparitiesFull study populationAlteplase treatmentDVT prophylaxisEligible patientsAnticoagulation therapyCessation counselingStatin use
2020
Association Between Subsequent Hospitalizations and Recurrent Acute Myocardial Infarction Within 1 Year After Acute Myocardial Infarction
Wang Y, Leifheit E, Normand S, Krumholz HM. Association Between Subsequent Hospitalizations and Recurrent Acute Myocardial Infarction Within 1 Year After Acute Myocardial Infarction. Journal Of The American Heart Association 2020, 9: e014907. PMID: 32172654, PMCID: PMC7335517, DOI: 10.1161/jaha.119.014907.Peer-Reviewed Original ResearchConceptsRecurrent acute myocardial infarctionAcute myocardial infarctionIndex acute myocardial infarctionClinical Classification SoftwareMyocardial infarctionDisease categoriesRisk of deathCox regression modelPost-acute careAcute care hospitalsOccurrence of hospitalizationLow recurrence riskUnplanned rehospitalizationSubsequent hospitalizationBackground PatientsHazard ratioPatient characteristicsSecondary preventionMedian timeService patientsChronic diseasesPatient riskOutcome measuresRehospitalizationHigh risk
2019
Race-Ethnic Disparities in 30-Day Readmission After Stroke Among Medicare Beneficiaries in the Florida Stroke Registry
Gardener H, Leifheit EC, Lichtman JH, Wang K, Wang Y, Gutierrez CM, Ciliberti-Vargas MA, Dong C, Robichaux M, Romano JG, Sacco RL, Rundek T, Investigators and Collaborators F. Race-Ethnic Disparities in 30-Day Readmission After Stroke Among Medicare Beneficiaries in the Florida Stroke Registry. Journal Of Stroke And Cerebrovascular Diseases 2019, 28: 104399. PMID: 31611168, PMCID: PMC6939298, DOI: 10.1016/j.jstrokecerebrovasdis.2019.104399.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overBlack or African AmericanBrain IschemiaFemaleFloridaHealthcare DisparitiesHispanic or LatinoHumansInsurance BenefitsMaleMedicarePatient ReadmissionRecurrenceRegistriesRisk AssessmentRisk FactorsSecondary PreventionStrokeTime FactorsTransitional CareUnited StatesWhite PeopleConceptsFlorida Stroke RegistryAcute cerebrovascular eventsCause readmissionIschemic strokeRace/ethnicityStroke RegistryCerebrovascular eventsEthnic disparitiesCox proportional hazards modelTransient ischemic attackSecondary prevention strategiesUrinary tract infectionRace-ethnic disparitiesLength of stayProportional hazards modelIschemic attackFirst readmissionHospital dischargeTract infectionsArterial interventionsArtery interventionHemorrhagic strokeStroke patientsTransitional careThirty-day
2018
Hospital Quality Metrics: “America's Best Hospitals” and Outcomes After Ischemic Stroke
Lichtman JH, Leifheit EC, Wang Y, Goldstein LB. Hospital Quality Metrics: “America's Best Hospitals” and Outcomes After Ischemic Stroke. Journal Of Stroke And Cerebrovascular Diseases 2018, 28: 430-434. PMID: 30415916, DOI: 10.1016/j.jstrokecerebrovasdis.2018.10.022.Peer-Reviewed Original ResearchMeSH KeywordsBrain IschemiaHospital Bed CapacityHospital MortalityHospitalsHospitals, High-VolumeHospitals, Low-VolumeHospitals, PrivateHospitals, RuralHospitals, TeachingHumansJoint Commission on Accreditation of Healthcare OrganizationsPatient ReadmissionPostoperative ComplicationsProcess Assessment, Health CareQuality Indicators, Health CareRisk FactorsStrokeTime FactorsTreatment OutcomeUnited StatesConceptsTop-ranked hospitalsRisk-standardized mortalityHigher readmissionBest HospitalsIschemic strokeAmerica's Best HospitalsHospital-level careHospital Compare dataHospital quality metricsHospital volumeStroke measuresHospital characteristicsReadmissionBetter outcomesLower mortalityHospitalMortalityMedicaid ServicesOutcomesStrokeWorld Report
2017
Carotid Endarterectomy and Carotid Artery Stenting in the US Medicare Population, 1999-2014
Lichtman JH, Jones MR, Leifheit EC, Sheffet AJ, Howard G, Lal BK, Howard VJ, Wang Y, Curtis J, Brott TG. Carotid Endarterectomy and Carotid Artery Stenting in the US Medicare Population, 1999-2014. JAMA 2017, 318: 1035-1046. PMID: 28975306, PMCID: PMC5818799, DOI: 10.1001/jama.2017.12882.Peer-Reviewed Original ResearchConceptsVascular risk factorsCarotid endarterectomyCarotid arteryHospital mortalityCause mortalityRevascularization ratesIschemic strokeMyocardial infarctionRisk factorsMedicare beneficiariesSerial cross-sectional analysisUnderwent carotid arteryNumber of patientsUS national trendsService Medicare beneficiariesCross-sectional analysisSymptomatic patientsSymptomatic statusUnique patientsCarotid stenosisEndarterectomyMedicare inpatientMAIN OUTCOMEMedicare feePatients
2016
Average Temperature, Diurnal Temperature Variation, and Stroke Hospitalizations
Lichtman JH, Leifheit-Limson EC, Jones SB, Wang Y, Goldstein LB. Average Temperature, Diurnal Temperature Variation, and Stroke Hospitalizations. Journal Of Stroke And Cerebrovascular Diseases 2016, 25: 1489-1494. PMID: 27038980, DOI: 10.1016/j.jstrokecerebrovasdis.2016.02.037.Peer-Reviewed Original Research
2015
Sex Differences in Cardiac Risk Factors, Perceived Risk, and Health Care Provider Discussion of Risk and Risk Modification Among Young Patients With Acute Myocardial Infarction The VIRGO Study
Leifheit-Limson EC, D’Onofrio G, Daneshvar M, Geda M, Bueno H, Spertus JA, Krumholz HM, Lichtman JH. Sex Differences in Cardiac Risk Factors, Perceived Risk, and Health Care Provider Discussion of Risk and Risk Modification Among Young Patients With Acute Myocardial Infarction The VIRGO Study. Journal Of The American College Of Cardiology 2015, 66: 1949-1957. PMID: 26515996, PMCID: PMC4628727, DOI: 10.1016/j.jacc.2015.08.859.Peer-Reviewed Original ResearchConceptsCardiac risk factorsAcute myocardial infarctionHealth care provider discussionsRisk modificationRisk factorsHeart diseaseHealth care providersProvider discussionsVIRGO StudyYounger patientsMyocardial infarctionCare providersSignificant cardiac risk factorsYoung AMI patientsPatients age 18Heart disease riskRisk factor prevalenceSelf-perceived riskModified Poisson regressionSex differencesFactor prevalenceAMI patientsCardiac riskSpanish hospitalsProvider feedbackSymptom Recognition and Healthcare Experiences of Young Women With Acute Myocardial Infarction
Lichtman JH, Leifheit-Limson EC, Watanabe E, Allen NB, Garavalia B, Garavalia LS, Spertus JA, Krumholz HM, Curry LA. Symptom Recognition and Healthcare Experiences of Young Women With Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2015, 8: s31-s38. PMID: 25714826, PMCID: PMC4801001, DOI: 10.1161/circoutcomes.114.001612.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsConflict, PsychologicalFemaleHealth Knowledge, Attitudes, PracticeHealth Status DisparitiesHealthcare DisparitiesHospitalizationHumansInterviews as TopicMiddle AgedMyocardial InfarctionPatient Acceptance of Health CarePreventive Health ServicesQualitative ResearchRecognition, PsychologyRisk AssessmentRisk FactorsSex FactorsTime FactorsTime-to-TreatmentConceptsAcute myocardial infarctionCare-seeking behaviorAcute careMyocardial infarctionProdromal symptomsHeart diseaseSymptom recognitionAcute myocardial infarction symptomsAcute myocardial infarction mortalityHealthcare systemMyocardial infarction symptomsPreventive health careCare-seeking experiencesMyocardial infarction mortalityAcute medical therapyPreventive health behaviorsCardiovascular riskMedical therapyPrompt recognitionPreventive carePrimary careInfarction symptomsAged menMortality riskHealth behaviors
2014
Depression as a Risk Factor for Poor Prognosis Among Patients With Acute Coronary Syndrome
Lichtman JH, Froelicher ES, Blumenthal JA, Carney RM, Doering LV, Frasure-Smith N, Freedland KE, Jaffe AS, Leifheit-Limson EC, Sheps DS, Vaccarino V, Wulsin L. Depression as a Risk Factor for Poor Prognosis Among Patients With Acute Coronary Syndrome. Circulation 2014, 129: 1350-1369. PMID: 24566200, DOI: 10.1161/cir.0000000000000019.Peer-Reviewed Original ResearchConceptsAcute coronary syndromeCoronary syndromeAmerican Heart AssociationRisk factorsAdverse medical outcomesPoor prognosisHeart AssociationMedical outcomesAmerican Heart Association scientific statementScientific statementWriting group membersIndividual studiesMeasurement of depressionCardiac mortalityCause mortalityComposite outcomeNonfatal eventsProspective studyAdverse outcomesCardiac populationMultivariable modelInclusion criteriaPatientsSystematic reviewSyndrome
2013
Age and sex differences in inhospital complication rates and mortality after percutaneous coronary intervention procedures: Evidence from the NCDR®
Lichtman JH, Wang Y, Jones SB, Leifheit-Limson EC, Shaw LJ, Vaccarino V, Rumsfeld JS, Krumholz HM, Curtis JP. Age and sex differences in inhospital complication rates and mortality after percutaneous coronary intervention procedures: Evidence from the NCDR®. American Heart Journal 2013, 167: 376-383. PMID: 24576523, DOI: 10.1016/j.ahj.2013.11.001.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionComplication rateOlder womenPCI typeYoung womenInhospital mortalityMortality riskAge groupsElective percutaneous coronary interventionPercutaneous coronary intervention (PCI) proceduresInhospital complication rateRate of complicationsHigh complication rateRisk-adjusted analysisRisk-adjusted mortalityCoronary intervention proceduresUnadjusted complication rateSex-based differencesPCI patientsCathPCI RegistryCoronary interventionYounger patientsClinical factorsHospital admissionMore complicationsPrevalence of Traditional Cardiac Risk Factors and Secondary Prevention Among Patients Hospitalized for Acute Myocardial Infarction (AMI): Variation by Age, Sex, and Race
Leifheit-Limson EC, Spertus JA, Reid KJ, Jones SB, Vaccarino V, Krumholz HM, Lichtman JH. Prevalence of Traditional Cardiac Risk Factors and Secondary Prevention Among Patients Hospitalized for Acute Myocardial Infarction (AMI): Variation by Age, Sex, and Race. Journal Of Women's Health 2013, 22: 659-666. PMID: 23841468, DOI: 10.1089/jwh.2012.3962.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedAged, 80 and overBlack or African AmericanBody Mass IndexCounselingDiabetes Mellitus, Type 2FemaleHospitalizationHumansHypercholesterolemiaHypertensionLife StyleMaleMiddle AgedMyocardial InfarctionObesityPrevalenceProspective StudiesRisk FactorsSecondary PreventionSex FactorsSmokingSmoking CessationSocioeconomic FactorsWhite PeopleConceptsCardiac risk factorsAcute myocardial infarctionSecondary prevention effortsTraditional cardiac risk factorsLipid-lowering medicationsRisk factorsWhite patientsAMI patientsMyocardial infarctionPrevention effortsGreater risk factor burdenMultiple cardiac risk factorsRisk factor burdenYoung black patientsYoung white patientsSecondary prevention strategiesRisk factor prevalenceHigh-risk subgroupsMultiple risk factorsBlack womenAge-sex groupsOlder patientsSecondary preventionYounger patientsFactor prevalenceSeasonal Variation in 30-Day Mortality After Stroke
Lichtman JH, Jones SB, Wang Y, Leifheit-Limson EC, Goldstein LB. Seasonal Variation in 30-Day Mortality After Stroke. Stroke 2013, 44: 531-533. PMID: 23299494, PMCID: PMC3555561, DOI: 10.1161/strokeaha.112.670547.Peer-Reviewed Original Research
2012
30-Day Risk-Standardized Mortality and Readmission Rates After Ischemic Stroke in Critical Access Hospitals
Lichtman JH, Leifheit-Limson EC, Jones SB, Wang Y, Goldstein LB. 30-Day Risk-Standardized Mortality and Readmission Rates After Ischemic Stroke in Critical Access Hospitals. Stroke 2012, 43: 2741-2747. PMID: 22935397, PMCID: PMC3547601, DOI: 10.1161/strokeaha.112.665646.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesRisk-standardized readmission ratesAnnual hospital volumeIschemic strokeReadmission ratesHospital volumeVolume quartileHighest risk-standardized mortality ratesPoor short-term outcomeMedicare beneficiaries 65 yearsService Medicare beneficiaries 65 yearsHighest volume quartileHospital volume quartilesPrimary discharge diagnosisLow-volume hospitalsShort-term outcomesBeneficiaries 65 yearsChanges in social support within the early recovery period and outcomes after acute myocardial infarction
Leifheit-Limson EC, Reid KJ, Kasl SV, Lin H, Buchanan DM, Jones PG, Peterson PN, Parashar S, Spertus JA, Lichtman JH. Changes in social support within the early recovery period and outcomes after acute myocardial infarction. Journal Of Psychosomatic Research 2012, 73: 35-41. PMID: 22691557, PMCID: PMC3374926, DOI: 10.1016/j.jpsychores.2012.04.006.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionDisease-specific qualityDepressive symptomsMyocardial infarctionEarly recoveryGeneral mental functioningLower disease-specific qualitySocial supportRisk-adjusted analysisBaseline depressive symptomsEarly recovery periodMore depressive symptomsRepeated-measures regressionFirst yearMental functioningBaseline outcome levelsClinical factorsAMI patientsPoor outcomeProspective studyBetter outcomesHealth statusPatientsSociodemographic characteristicsGreater risk
2011
Adherence to Risk Factor Management Instructions after Acute Myocardial Infarction: The Role of Emotional Support and Depressive Symptoms
Leifheit-Limson EC, Kasl SV, Lin H, Buchanan DM, Peterson PN, Spertus JA, Lichtman JH. Adherence to Risk Factor Management Instructions after Acute Myocardial Infarction: The Role of Emotional Support and Depressive Symptoms. Annals Of Behavioral Medicine 2011, 43: 198-207. PMID: 22037964, PMCID: PMC3374717, DOI: 10.1007/s12160-011-9311-z.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPoor adherenceMyocardial infarctionManagement adherenceDepressive symptomsNon-depressed patientsEmotional supportLow emotional supportClinical factorsAMI patientsStratified analysisMixed-effects regressionBaseline supportPatientsGreater riskLongitudinal associationsAdherenceSignificant predictorsInfarctionSymptomsFirst yearFurther investigationAssociationDepressionSignificant relationship
2010
Predictors of Hospital Readmission After Stroke
Lichtman JH, Leifheit-Limson EC, Jones SB, Watanabe E, Bernheim SM, Phipps MS, Bhat KR, Savage SV, Goldstein LB. Predictors of Hospital Readmission After Stroke. Stroke 2010, 41: 2525-2533. PMID: 20930150, PMCID: PMC3021413, DOI: 10.1161/strokeaha.110.599159.Peer-Reviewed Original ResearchMeSH KeywordsHumansModels, StatisticalPatient ReadmissionPredictive Value of TestsQuality of Health CareRisk FactorsStrokeConceptsReadmission ratesOvid Evidence-Based Medicine ReviewsReadmission performanceEvidence-Based Medicine ReviewsRisk-adjusted readmission ratesHospital readmission performancePredictors of readmissionPatient-level factorsHospital readmission ratesQuality of careSystem-level factorsComposite outcomeHospital readmissionMedicine ReviewsReadmission riskStroke hospitalizationsCare factorsPatient riskMultivariable modelInclusion criteriaReadmissionStroke definitionsEligible publicationsRisk scoreHospital levelThe Role of Social Support in Health Status and Depressive Symptoms After Acute Myocardial Infarction
Leifheit-Limson EC, Reid KJ, Kasl SV, Lin H, Jones PG, Buchanan DM, Parashar S, Peterson PN, Spertus JA, Lichtman JH. The Role of Social Support in Health Status and Depressive Symptoms After Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2010, 3: 143-150. PMID: 20160162, PMCID: PMC3016989, DOI: 10.1161/circoutcomes.109.899815.Peer-Reviewed Original ResearchMeSH KeywordsAgedAngina PectorisChi-Square DistributionDepressionEvidence-Based MedicineFemaleHealth StatusHealth Status IndicatorsHumansLinear ModelsMaleMiddle AgedMyocardial InfarctionPoisson DistributionProspective StudiesQuality of LifeRegistriesRisk AssessmentRisk FactorsSex FactorsSocial SupportTime FactorsUnited StatesWomen's HealthWomen's Health ServicesConceptsAcute myocardial infarctionLow social supportDisease-specific qualityDepressive symptomsMyocardial infarctionHealth statusPhysical functioningLower disease-specific qualitySocial supportBaseline health statusBaseline depressive symptomsWorse health statusRisk of anginaLower physical functioningMyocardial infarction recoverySex-stratified associationsLower mental functioningSex-stratified analysesMore depressive symptomsFirst yearClinical factorsProspective studyNonsignificant trendSymptomsInfarction