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 ResearchMeSH KeywordsFemaleHeartHumansMaleMiddle AgedMyocardial InfarctionPatient ReadmissionRisk FactorsSocioeconomic FactorsYoung AdultConceptsMarital/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
2019
Associations between community well-being and hospitalisation rates: results from a cross-sectional study within six US states
Roy B, Riley C, Herrin J, Spatz E, Hamar B, Kell KP, Rula EY, Krumholz H. Associations between community well-being and hospitalisation rates: results from a cross-sectional study within six US states. BMJ Open 2019, 9: e030017. PMID: 31780588, PMCID: PMC6886944, DOI: 10.1136/bmjopen-2019-030017.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedCross-Sectional StudiesFemaleHealth StatusHospitalizationHumansMaleMiddle AgedQuality of LifeSocioeconomic FactorsUnited StatesConceptsHospitalisation ratesZip codesPrimary care physician densityCross-sectional study SETTINGCancer-related admissionsRespiratory-related admissionsCross-sectional studyQuality of lifeRace/ethnicityCause hospitalisationSecondary outcomesPrimary outcomeHighest quintileUnnecessary hospitalisationAdmission ratesSD increaseHospitalisationLife benefitsPhysician densityStudy settingMain independent variableBeing IndexHospital bedsAdmissionGallup-Sharecare WellDisparities in Socioeconomic Context and Association With Blood Pressure Control and Cardiovascular Outcomes in ALLHAT
Shahu A, Herrin J, Dhruva SS, Desai NR, Davis BR, Krumholz HM, Spatz ES. Disparities in Socioeconomic Context and Association With Blood Pressure Control and Cardiovascular Outcomes in ALLHAT. Journal Of The American Heart Association 2019, 8: e012277. PMID: 31362591, PMCID: PMC6761647, DOI: 10.1161/jaha.119.012277.Peer-Reviewed Original ResearchConceptsBlood pressure controlLow-income sitesCardiovascular outcomesPressure controlALLHAT participantsPoor blood pressure controlEnd-stage renal diseaseHospitalization/mortalityAdverse cardiovascular eventsCardiovascular risk factorsWorse cardiovascular outcomesHigh blood pressureStandardized treatment protocolRandomized clinical trialsBackground Observational studiesLow socioeconomic statusHighest income quintileAngina hospitalizationCardiovascular eventsCause mortalityCoronary revascularizationClinical characteristicsBlood pressureRenal diseaseClinical outcomesDo pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study
Riley C, Roy B, Herrin J, Spatz E, Silvestri MT, Arora A, Kell KP, Rula EY, Krumholz HM. Do pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study. BMJ Open 2019, 9: e024143. PMID: 31048427, PMCID: PMC6501974, DOI: 10.1136/bmjopen-2018-024143.Peer-Reviewed Original ResearchMeSH KeywordsAdultCross-Sectional StudiesFemaleGestational AgeHumansPregnancyPremature BirthRisk FactorsSocioeconomic FactorsUnited StatesYoung AdultConceptsPreterm birthCross-sectional studyIndividual risk factorsPreterm deliveryRisk factorsPregnant womenLower riskMaternal risk factorsPrimary outcome measurePrimary independent variableGestational ageMaternal riskOutcome measuresUS birthsHealth StatisticsBirth dataBeing IndexWomenBirthGallup-Sharecare WellLower ratesQuintileRiskDeliveryPopulationTrends in Performance and Opportunities for Improvement on a Composite Measure of Acute Myocardial Infarction Care
Desai NR, Udell JA, Wang Y, Spatz ES, Dharmarajan K, Ahmad T, Julien HM, Annapureddy A, Goyal A, de Lemos JA, Masoudi FA, Bhatt DL, Minges KE, Krumholz HM, Curtis JP. Trends in Performance and Opportunities for Improvement on a Composite Measure of Acute Myocardial Infarction Care. Circulation Cardiovascular Quality And Outcomes 2019, 12: e004983. PMID: 30871375, DOI: 10.1161/circoutcomes.118.004983.Peer-Reviewed Original ResearchMeSH KeywordsAgedCardiology Service, HospitalFemaleGuideline AdherenceHealthcare DisparitiesHumansMaleMiddle AgedMyocardial InfarctionOutcome and Process Assessment, Health CarePractice Guidelines as TopicQuality ImprovementQuality Indicators, Health CareRacial GroupsRegistriesSex FactorsSocioeconomic FactorsTreatment OutcomeUnited StatesConceptsProportion of patientsAcute myocardial infarctionDefect-free careHispanic patientsAMI careOlder patientsCare measuresNational Cardiovascular Data Registry Acute Coronary TreatmentIntervention Outcomes Network RegistryAcute myocardial infarction careGuideline-recommended pharmacotherapyMedicaid insurance coverageSociodemographic groupsMyocardial infarction careSafety-net statusGreatest absolute improvementComposite measureQuality of careHospital-level performanceCessation counselingEvidence-based processReperfusion therapyCardiac rehabilitationCoronary TreatmentVentricular functionAssociation of Income Disparities with Patient-Reported Healthcare Experience
Okunrintemi V, Khera R, Spatz ES, Salami JA, Valero-Elizondo J, Warraich HJ, Virani SS, Blankstein R, Blaha MJ, Pawlik TM, Dharmarajan K, Krumholz HM, Nasir K. Association of Income Disparities with Patient-Reported Healthcare Experience. Journal Of General Internal Medicine 2019, 34: 884-892. PMID: 30783877, PMCID: PMC6544715, DOI: 10.1007/s11606-019-04848-4.Peer-Reviewed Original ResearchConceptsPatient healthcare experienceHealthcare experiencesHigher oddsMedical Expenditure Panel Survey cohortHealthcare providersRepresentative US adult populationUS adult populationTimes higher oddsQuality of careTimes greater oddsLow incomePoor healthcare experiencesRetrospective studyPatient incomePatient levelPatient reportsUS adultsProvider satisfactionGreater oddsPatientsHealth outcomesSurvey cohortAdult populationStudy participantsAspects of access
2018
Identifying county characteristics associated with resident well-being: A population based study
Roy B, Riley C, Herrin J, Spatz ES, Arora A, Kell KP, Welsh J, Rula EY, Krumholz HM. Identifying county characteristics associated with resident well-being: A population based study. PLOS ONE 2018, 13: e0196720. PMID: 29791476, PMCID: PMC5965855, DOI: 10.1371/journal.pone.0196720.Peer-Reviewed Original ResearchConceptsCounty-level factorsClinical careCross-sectional studyQuality of lifeBetter health outcomesMulti-dimensional assessmentHealth outcomesBeing IndexGallup-Sharecare WellUS residentsCareCounty characteristicsSurvey participantsResident wellUS countiesScoresCounty equivalentsAssessmentFactorsCohortNational Trends in Nonstatin Use and Expenditures Among the US Adult Population From 2002 to 2013: Insights From Medical Expenditure Panel Survey
Salami JA, Warraich HJ, Valero‐Elizondo J, Spatz ES, Desai NR, Rana JS, Virani SS, Blankstein R, Khera A, Blaha MJ, Blumenthal RS, Katzen BT, Lloyd‐Jones D, Krumholz HM, Nasir K. National Trends in Nonstatin Use and Expenditures Among the US Adult Population From 2002 to 2013: Insights From Medical Expenditure Panel Survey. Journal Of The American Heart Association 2018, 7: e007132. PMID: 29358195, PMCID: PMC5850149, DOI: 10.1161/jaha.117.007132.Peer-Reviewed Original ResearchAdultAgedAtherosclerosisDatabases, FactualDrug CostsDrug PrescriptionsDyslipidemiasFemaleHealth Care SurveysHealth ExpendituresHealthcare DisparitiesHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHypolipidemic AgentsLongitudinal StudiesMaleMedically UninsuredMiddle AgedPractice Patterns, Physicians'Racial GroupsRetrospective StudiesRisk FactorsSex FactorsSocioeconomic FactorsTime FactorsTreatment OutcomeUnited States
2017
HIV/HCV coinfection and the risk of cardiovascular disease: A meta‐analysis
Osibogun O, Ogunmoroti O, Michos E, Spatz E, Olubajo B, Nasir K, Madhivanan P, Maziak W. HIV/HCV coinfection and the risk of cardiovascular disease: A meta‐analysis. Journal Of Viral Hepatitis 2017, 24: 998-1004. PMID: 28502092, DOI: 10.1111/jvh.12725.Peer-Reviewed Original ResearchMeSH KeywordsCardiovascular DiseasesCoinfectionFemaleHepacivirusHepatitis CHIVHIV InfectionsHumansMaleProportional Hazards ModelsRiskSocioeconomic FactorsConceptsHIV/HCV coinfectionHCV coinfectionHazard ratioCardiovascular diseaseHIV monoinfectionCVD riskHepatitis C virus coinfectionTraditional CVD risk factorsC virus coinfectionImproved antiretroviral therapyAdjusted hazard ratioCVD risk factorsRisk reduction therapyCongestive heart failureCoronary artery diseaseHuman immunodeficiency virusIncreased inflammatory responseRandom-effects modelWeb of ScienceHCV individualsAntiretroviral therapyCohort studyCVD outcomesArtery diseaseHeart failureAssociation Between Modifiable Risk Factors and Pharmaceutical Expenditures Among Adults With Atherosclerotic Cardiovascular Disease in the United States: 2012–2013 Medical Expenditures Panel Survey
Salami JA, Valero‐Elizondo J, Ogunmoroti O, Spatz ES, Rana JS, Virani SS, Blankstein R, Younus A, Arrieta A, Blaha MJ, Veledar E, Nasir K. Association Between Modifiable Risk Factors and Pharmaceutical Expenditures Among Adults With Atherosclerotic Cardiovascular Disease in the United States: 2012–2013 Medical Expenditures Panel Survey. Journal Of The American Heart Association 2017, 6: e004996. PMID: 28600400, PMCID: PMC5669151, DOI: 10.1161/jaha.116.004996.Peer-Reviewed Original ResearchConceptsModifiable risk factorsAtherosclerotic cardiovascular diseaseCardiovascular diseaseRisk factorsPharmaceutical expenditureMedication-related expendituresSignificant marginal increaseSurvey's complex designInadequate physical activityMedical Expenditure Panel SurveyMedical Expenditure PanelHigher healthcare spendingASCVD patientsDiabetes mellitusMost deathsPhysical activityTotal pharmaceutical expenditureAdjusted relationshipMedicationsDiseaseHealthcare spendingMellitusPatientsAssociationAdultsSex Differences in Inflammatory Markers and Health Status Among Young Adults With Acute Myocardial Infarction
Lu Y, Zhou S, Dreyer RP, Spatz ES, Geda M, Lorenze NP, D'Onofrio G, Lichtman JH, Spertus JA, Ridker PM, Krumholz HM. Sex Differences in Inflammatory Markers and Health Status Among Young Adults With Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2017, 10: e003470. PMID: 28228461, PMCID: PMC5459381, DOI: 10.1161/circoutcomes.116.003470.Peer-Reviewed Original ResearchMeSH Keywords1-Alkyl-2-acetylglycerophosphocholine EsteraseAdolescentAdultAge of OnsetBiomarkersChi-Square DistributionComorbidityC-Reactive ProteinFemaleHealth Status DisparitiesHumansInflammation MediatorsLinear ModelsMaleMiddle AgedMultivariate AnalysisMyocardial InfarctionProspective StudiesRisk AssessmentRisk FactorsSex FactorsSocioeconomic FactorsUnited StatesUp-RegulationYoung AdultConceptsHigh-sensitivity C-reactive proteinAcute myocardial infarctionHigher inflammatory levelsInflammatory markersPoor health statusHealth statusYoung womenMyocardial infarctionInflammatory levelsTargeted anti-inflammatory treatmentsElevated inflammatory markersResidual cholesterol riskResidual inflammatory riskSex differencesAnti-inflammatory treatmentAnti-inflammatory therapyC-reactive proteinHigher mortality riskYoung menPhospholipase A2Years of ageCardiovascular outcomesMultivariable adjustmentPatient characteristicsSecondary prevention
2016
Sex Differences in Financial Barriers and the Relationship to Recovery After Acute Myocardial Infarction
Beckman AL, Bucholz EM, Zhang W, Xu X, Dreyer RP, Strait KM, Spertus JA, Krumholz HM, Spatz ES. Sex Differences in Financial Barriers and the Relationship to Recovery After Acute Myocardial Infarction. Journal Of The American Heart Association 2016, 5: e003923. PMID: 27742618, PMCID: PMC5121496, DOI: 10.1161/jaha.116.003923.Peer-Reviewed Original ResearchMeSH KeywordsAdultAftercareDepressionDrug CostsFemaleHealth Services AccessibilityHumansIncomeLinear ModelsMaleMedication AdherenceMiddle AgedMultivariate AnalysisMyocardial InfarctionPatient Health QuestionnaireProspective StudiesRecovery of FunctionSex FactorsSocioeconomic FactorsSpainUnited StatesConceptsAcute myocardial infarctionMyocardial infarctionFinancial barriersHealth status 12 monthsYoung adultsPost-AMI outcomesYear post-AMIYoung AMI patientsMultivariable linear regression modelsGreater depressive symptomatologyMental functional statusSex differencesClinical characteristicsYounger patientsAMI patientsPost-AMIFunctional statusWorse outcomesBaseline healthPsychosocial statusOutcomes 1Depressive symptomatologyPatientsMore womenHealth care
2015
Qingdao Port Cardiovascular Health Study: a prospective cohort study
Spatz ES, Jiang X, Lu J, Masoudi FA, Spertus JA, Wang Y, Li X, Downing NS, Nasir K, Du X, Li J, Krumholz HM, Liu X, Jiang L. Qingdao Port Cardiovascular Health Study: a prospective cohort study. BMJ Open 2015, 5: e008403. PMID: 26656011, PMCID: PMC4679897, DOI: 10.1136/bmjopen-2015-008403.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAsian PeopleBody Mass IndexCardiovascular DiseasesChinaCohort StudiesCost of IllnessDiabetes Mellitus, Type 2Early DiagnosisEnvironmental ExposureFemaleHealth BehaviorHealth SurveysHumansHyperlipidemiasHypertensionIncidenceMaleMiddle AgedOccupational ExposurePhysical ExaminationPreventive Health ServicesProspective StudiesRisk FactorsSelf ReportSocioeconomic FactorsWorkplaceConceptsAnnual health assessmentCardiovascular diseaseRisk factorsUnique risk factor profileCardiovascular risk factorsClinical risk factorsProspective cohort studyRisk factor profileHospital medical recordsCardiovascular Health StudyPopulation-based studyPopulation-based strategiesHealth assessmentCardiovascular outcomesCohort studyCarotid ultrasoundMean agePhysical examinationCardiovascular healthHeart diseaseMedical recordsDisease onsetMedical insurance claimsHealth StudyUrine analysis
2014
Usual Source of Care and Outcomes Following Acute Myocardial Infarction
Spatz ES, Sheth SD, Gosch KL, Desai MM, Spertus JA, Krumholz HM, Ross JS. Usual Source of Care and Outcomes Following Acute Myocardial Infarction. Journal Of General Internal Medicine 2014, 29: 862-869. PMID: 24553957, PMCID: PMC4026492, DOI: 10.1007/s11606-014-2794-0.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionUsual sourceMyocardial infarctionMortality rateBaseline risk factorsAcute clinical eventsMain outcome measuresAMI severityAMI patientsMultivariable analysisKey ResultsAmongClinical eventsSocio-demographic characteristicsRisk factorsOutcome measuresReadmissionHigh mortalityPatientsMortalityCareMonthsInfarctionAdultsOutcomesAssociation
2013
Characteristics of Medicaid enrollees with frequent ED use
Capp R, Rosenthal MS, Desai MM, Kelley L, Borgstrom C, Cobbs-Lomax DL, Simonette P, Spatz ES. Characteristics of Medicaid enrollees with frequent ED use. The American Journal Of Emergency Medicine 2013, 31: 1333-1337. PMID: 23850143, DOI: 10.1016/j.ajem.2013.05.050.Peer-Reviewed Original ResearchConceptsFrequent ED usersFrequent ED useED usersMedicaid enrolleesED visitsED useFrequent emergency department visitsCommon ED diagnosesEmergency department visitsChronic medical conditionsPrimary care providersAlcohol-related disordersAbdominal painClinical characteristicsDepartment visitsCommon diagnosisSingle centerRetrospective studyPrimary careInsurance typeED diagnosisMedical conditionsCare providersAlcohol abusePatients
2011
Expanding the Safety Net of Specialty Care for the Uninsured: A Case Study
Spatz ES, Phipps MS, Wang OJ, Lagarde S, Lucas GI, Curry LA, Rosenthal MS. Expanding the Safety Net of Specialty Care for the Uninsured: A Case Study. Health Services Research 2011, 47: 344-362. PMID: 22092239, PMCID: PMC3393006, DOI: 10.1111/j.1475-6773.2011.01330.x.Peer-Reviewed Original ResearchConceptsCommunity-based participatory researchSafety net providersSpecialty careSpecialty physiciansSpecialty care needsVulnerable populationsSpecialty care accessPatient navigationCare modelCare accessCare needsCare programHospitalPhysiciansCareCommunity stakeholdersCapacity-building effortsProvidersPopulationParticipatory research