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
Variation and Disparities in Awareness of Myocardial Infarction Symptoms Among Adults in the United States
Mahajan S, Valero-Elizondo J, Khera R, Desai NR, Blankstein R, Blaha MJ, Virani SS, Kash BA, Zoghbi WA, Krumholz HM, Nasir K. Variation and Disparities in Awareness of Myocardial Infarction Symptoms Among Adults in the United States. JAMA Network Open 2019, 2: e1917885. PMID: 31851350, PMCID: PMC6991230, DOI: 10.1001/jamanetworkopen.2019.17885.Peer-Reviewed Original ResearchConceptsMyocardial infarction symptomsShortness of breathMyocardial infarctionInfarction symptomsLow education levelEmergency medical servicesChest painSociodemographic subgroupsNational Health Interview SurveyEmergency cardiac careCross-sectional studyMedical servicesHealth Interview SurveyPublic health initiativesEducation levelLow-income subgroupsPrompt recognitionBack painCommon symptomsMale sexCardiac careHigher oddsHispanic ethnicityMAIN OUTCOMEHigh riskAssociations 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
Association between physical exercise and mental health in 1·2 million individuals in the USA between 2011 and 2015: a cross-sectional study
Chekroud SR, Gueorguieva R, Zheutlin AB, Paulus M, Krumholz HM, Krystal JH, Chekroud AM. Association between physical exercise and mental health in 1·2 million individuals in the USA between 2011 and 2015: a cross-sectional study. The Lancet Psychiatry 2018, 5: 739-746. PMID: 30099000, DOI: 10.1016/s2215-0366(18)30227-x.Peer-Reviewed Original ResearchConceptsMental health burdenCross-sectional studyHealth burdenExercise typeMental healthPhysical exerciseBehavioral Risk Factor Surveillance System surveyPast monthBody mass index categoriesEffective clinical targetsPrevention's Behavioral Risk Factor Surveillance System (BRFSS) surveysSelf-reported mental healthFrequency of exerciseSelf-reported physical healthFunction of exerciseMultiple sensitivity analysesPoor mental healthTerms of ageCause mortalityPrevious diagnosisPotential confoundersInterventional studyCardiovascular diseaseReduced riskIndex categoriesIdentifying 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 equivalentsAssessmentFactorsCohortPopulation well-being and electoral shifts
Herrin J, Witters D, Roy B, Riley C, Liu D, Krumholz HM. Population well-being and electoral shifts. PLOS ONE 2018, 13: e0193401. PMID: 29529049, PMCID: PMC5846778, DOI: 10.1371/journal.pone.0193401.Peer-Reviewed Original ResearchMeSH KeywordsAdultHealth StatusHealth SurveysHumansMental HealthPoliticsSocioeconomic FactorsUnited StatesNational 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
Reductions in Readmission Rates Are Associated With Modest Improvements in Patient-reported Health Gains Following Hip and Knee Replacement in England
Friebel R, Dharmarajan K, Krumholz HM, Steventon A. Reductions in Readmission Rates Are Associated With Modest Improvements in Patient-reported Health Gains Following Hip and Knee Replacement in England. Medical Care 2017, 55: 834-840. PMID: 28742545, PMCID: PMC5555974, DOI: 10.1097/mlr.0000000000000779.Peer-Reviewed Original ResearchConceptsRisk-adjusted readmission ratesReadmission ratesEQ-VASHealth gainsEQ-5DKnee replacementHip replacementOxford Hip ScoreOxford Knee ScorePatient-reported healthPatient-reported outcomesVisual analog scaleKnee replacement surgeryReadmission reduction initiativesHealth care systemAdditional health gainsHip scoreKnee scoreAnalog scalePresurgical assessmentReplacement surgeryPatients' senseHospital groupModest ImprovementPatient healthSex 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 careAccounting For Patients’ Socioeconomic Status Does Not Change Hospital Readmission Rates
Bernheim SM, Parzynski CS, Horwitz L, Lin Z, Araas MJ, Ross JS, Drye EE, Suter LG, Normand SL, Krumholz HM. Accounting For Patients’ Socioeconomic Status Does Not Change Hospital Readmission Rates. Health Affairs 2016, 35: 1461-1470. PMID: 27503972, PMCID: PMC7664840, DOI: 10.1377/hlthaff.2015.0394.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramPatients' socioeconomic statusMedicare's Hospital Readmissions Reduction ProgramLow socioeconomic statusReadmission ratesSocioeconomic statusRisk-standardized readmission ratesHospital readmission ratesReadmissions Reduction ProgramMedicaid Services methodologyReadmission measuresHospital resultsPatientsHospitalSuch hospitalsPayment penaltiesReduction programsStatusCurrent CentersLower proportionLarge proportionPercentAdjustmentProportion
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 analysisDo Non-Clinical Factors Improve Prediction of Readmission Risk? Results From the Tele-HF Study
Krumholz HM, Chaudhry SI, Spertus JA, Mattera JA, Hodshon B, Herrin J. Do Non-Clinical Factors Improve Prediction of Readmission Risk? Results From the Tele-HF Study. JACC Heart Failure 2015, 4: 12-20. PMID: 26656140, PMCID: PMC5459404, DOI: 10.1016/j.jchf.2015.07.017.Peer-Reviewed Original ResearchConceptsReadmission ratesPatient-reported informationHeart failureHealth statusReadmission riskC-statisticRisk scorePsychosocial variablesMedical record abstractionWeeks of dischargeReadmission risk modelNon-clinical factorsCandidate risk factorsReadmission risk predictionRecord abstractionClinical variablesPatient interviewsMedical recordsRisk factorsPatientsPsychosocial informationPsychosocial characteristicsTelephone interviewsRisk predictionScoresRace, Socioeconomic Status, and Life Expectancy After Acute Myocardial Infarction
Bucholz EM, Ma S, Normand SL, Krumholz HM. Race, Socioeconomic Status, and Life Expectancy After Acute Myocardial Infarction. Circulation 2015, 132: 1338-1346. PMID: 26369354, PMCID: PMC5097251, DOI: 10.1161/circulationaha.115.017009.Peer-Reviewed Original ResearchStandardized Data Collection Practices and the Racial/Ethnic Distribution of Hospitalized Patients
Chakkalakal RJ, Green JC, Krumholz HM, Nallamothu BK. Standardized Data Collection Practices and the Racial/Ethnic Distribution of Hospitalized Patients. Medical Care 2015, 53: 666-672. PMID: 26147864, PMCID: PMC4503513, DOI: 10.1097/mlr.0000000000000392.Peer-Reviewed Original ResearchDepressive Symptoms in Younger Women and Men With Acute Myocardial Infarction: Insights From the VIRGO Study
Smolderen KG, Strait KM, Dreyer RP, D'Onofrio G, Zhou S, Lichtman JH, Geda M, Bueno H, Beltrame J, Safdar B, Krumholz HM, Spertus JA. Depressive Symptoms in Younger Women and Men With Acute Myocardial Infarction: Insights From the VIRGO Study. Journal Of The American Heart Association 2015, 4: e001424. PMID: 25836055, PMCID: PMC4579927, DOI: 10.1161/jaha.114.001424.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionDepressive symptomsLifetime historyMyocardial infarctionRisk factorsYoung acute myocardial infarctionYoung AMI Patients (VIRGO) studyMore cardiovascular risk factorsYoung womenCardiovascular risk factorsTime of admissionAdverse medical outcomesMore depressive symptomsLow socioeconomic profileAMI severityVIRGO StudyCardiovascular riskChart abstractionYounger patientsClinical profileRelevant sex differencesPatient profilesAMI admissionsMedical outcomesPatients