2023
Lifetime healthcare expenses across demographic and cardiovascular risk groups: The application of a novel modeling strategy in a large multiethnic cohort study
Khera R, Kondamudi N, Liu M, Ayers C, Spatz E, Rao S, Essien U, Powell-Wiley T, Nasir K, Das S, Capers Q, Pandey A. Lifetime healthcare expenses across demographic and cardiovascular risk groups: The application of a novel modeling strategy in a large multiethnic cohort study. American Journal Of Preventive Cardiology 2023, 14: 100493. PMID: 37397263, PMCID: PMC10314135, DOI: 10.1016/j.ajpc.2023.100493.Peer-Reviewed Original ResearchOverweight/obesityRisk factorsRace/ethnicityHealthcare expensesCardiovascular risk factorsCardiovascular risk groupsNon-black individualsMultiethnic Cohort StudySignificant independent associationYears of ageBlack individualsDallas Heart StudyCohort studyCohort enrollmentOutpatient claimsIndependent associationRisk groupsHigh prevalenceHeart StudyOlder ageHealthcare spendingHypertensionObesitySmokingDiabetes
2018
Favorable Modifiable Cardiovascular Risk Profile Is Associated With Lower Healthcare Costs Among Cancer Patients: The 2012–2013 Medical Expenditure Panel Survey
Singh J, Valero‐Elizondo J, Salami JA, Warraich HJ, Ogunmoroti O, Spatz ES, Desai N, Rana JS, Virani SS, Blankstein R, Blaha MJ, Nasir K. Favorable Modifiable Cardiovascular Risk Profile Is Associated With Lower Healthcare Costs Among Cancer Patients: The 2012–2013 Medical Expenditure Panel Survey. Journal Of The American Heart Association 2018, 7: e007874. PMID: 29686026, PMCID: PMC6015292, DOI: 10.1161/jaha.117.007874.Peer-Reviewed Original ResearchConceptsAtherosclerotic cardiovascular diseaseAbsence of ASCVDCancer patientsMedical Expenditure PanelCRF profileRepresentative US adult populationHealthcare expendituresCardiovascular risk profileRisk factor profileBurden of cancerMean annual costAnnual healthcare expendituresMedical Expenditure Panel SurveyUS adult populationLower medical expendituresYears of ageLower healthcare costsCardiovascular managementCardiovascular diseaseHigh prevalenceRepresentative adult sampleUS adultsTwo-part econometric modelHealthcare costsEconomic burdenSex Differences in Timeliness of Reperfusion in Young Patients With ST‐Segment–Elevation Myocardial Infarction by Initial Electrocardiographic Characteristics
Gupta A, Barrabes JA, Strait K, Bueno H, Porta‐Sánchez A, Acosta‐Vélez J, Lidón R, Spatz E, Geda M, Dreyer RP, Lorenze N, Lichtman J, D'Onofrio G, Krumholz HM. Sex Differences in Timeliness of Reperfusion in Young Patients With ST‐Segment–Elevation Myocardial Infarction by Initial Electrocardiographic Characteristics. Journal Of The American Heart Association 2018, 7: e007021. PMID: 29514807, PMCID: PMC5907538, DOI: 10.1161/jaha.117.007021.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge of OnsetElectrocardiographyFemaleHealthcare DisparitiesHumansMaleMiddle AgedMyocardial ReperfusionPredictive Value of TestsProspective StudiesRisk AssessmentRisk FactorsSex FactorsSpainST Elevation Myocardial InfarctionTime FactorsTime-to-TreatmentTreatment OutcomeUnited StatesYoung AdultConceptsST-segment elevation myocardial infarctionElectrocardiographic characteristicsMyocardial infarctionReperfusion delayYounger patientsVentricular hypertrophyST elevationPrehospital ECGLateral leadsMultivariable logistic regression modelTimeliness of reperfusionVoltage criteriaElevation myocardial infarctionLeft ventricular hypertrophyAcute myocardial infarctionYears of ageLogistic regression modelsSex differencesClinical characteristicsCohort studyElectrocardiographic correlatesMultivariable analysisFemale sexSpanish hospitalsReperfusion guidelines
2017
Sex 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
Economic Impact of Moderate‐Vigorous Physical Activity Among Those With and Without Established Cardiovascular Disease: 2012 Medical Expenditure Panel Survey
Valero‐Elizondo J, Salami JA, Osondu CU, Ogunmoroti O, Arrieta A, Spatz ES, Younus A, Rana JS, Virani SS, Blankstein R, Blaha MJ, Veledar E, Nasir K. Economic Impact of Moderate‐Vigorous Physical Activity Among Those With and Without Established Cardiovascular Disease: 2012 Medical Expenditure Panel Survey. Journal Of The American Heart Association 2016, 5: e003614. PMID: 27604455, PMCID: PMC5079024, DOI: 10.1161/jaha.116.003614.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedArrhythmias, CardiacCardiovascular DiseasesCase-Control StudiesCoronary Artery DiseaseDiabetes MellitusExerciseFemaleHealth ExpendituresHealth ServicesHeart FailureHumansHypercholesterolemiaHypertensionMaleMiddle AgedObesityPeripheral Arterial DiseaseRetrospective StudiesSmokingStrokeUnited StatesYoung AdultConceptsModerate-vigorous physical activityDays/weekPhysical activityHealth care expendituresTotal annual health care expendituresLower health care expendituresAnnual health care expendituresCare expendituresLower health care spendingModifiable risk factorsCardiovascular disease outcomesMedical Expenditure Panel SurveyFinal study sampleYears of ageQuality of lifeMedical Expenditure PanelLink logCVD statusHealth care spendingRisk factorsDisease outcomeStudy populationUS adultsRepresentative cohortTwo-part econometric model
2015
Trends in Short- and Long-Term Outcomes for Takotsubo Cardiomyopathy Among Medicare Fee-for-Service Beneficiaries, 2007 to 2012
Murugiah K, Wang Y, Desai NR, Spatz ES, Nuti SV, Dreyer RP, Krumholz HM. Trends in Short- and Long-Term Outcomes for Takotsubo Cardiomyopathy Among Medicare Fee-for-Service Beneficiaries, 2007 to 2012. JACC Heart Failure 2015, 4: 197-205. PMID: 26746377, PMCID: PMC5323042, DOI: 10.1016/j.jchf.2015.09.013.Peer-Reviewed Original ResearchConceptsLong-term outcomesReadmission ratesNonwhite patientsHospitalization ratesSecondary diagnosisMedicare feeYears of ageTakotsubo cardiomyopathyWorse outcomesWhite racePatientsService beneficiariesHospitalMortalityTime pointsOutcomesHospitalizationCohortDiagnosisRepresentative dataTakotsuboTTCReadmissionCardiomyopathyYearsNational Trends in Hospital Readmission Rates among Medicare Fee-for-Service Survivors of Mitral Valve Surgery, 1999–2010
Dodson JA, Wang Y, Murugiah K, Dharmarajan K, Cooper Z, Hashim S, Nuti SV, Spatz E, Desai N, Krumholz HM. National Trends in Hospital Readmission Rates among Medicare Fee-for-Service Survivors of Mitral Valve Surgery, 1999–2010. PLOS ONE 2015, 10: e0132470. PMID: 26147225, PMCID: PMC4493110, DOI: 10.1371/journal.pone.0132470.Peer-Reviewed Original ResearchConceptsMitral valve surgeryLength of stayHospital LOSReadmission ratesHospital readmission ratesOlder patientsHospital readmissionMedicare feeMean hospital LOSSurvival rateProportional hazards regressionYears of ageValve surgeryHazards regressionService patientsWorse outcomesAge subgroupsPatientsOlder adultsSurvivorsNational trendsReadmissionModest declineWomenSubgroupsSex Differences in Perceived Stress and Early Recovery in Young and Middle-Aged Patients With Acute Myocardial Infarction
Xu X, Bao H, Strait K, Spertus JA, Lichtman JH, D'Onofrio G, Spatz E, Bucholz EM, Geda M, Lorenze NP, Bueno H, Beltrame JF, Krumholz HM. Sex Differences in Perceived Stress and Early Recovery in Young and Middle-Aged Patients With Acute Myocardial Infarction. Circulation 2015, 131: 614-623. PMID: 25679303, PMCID: PMC4652932, DOI: 10.1161/circulationaha.114.012826.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMiddle-aged patientsMyocardial infarctionMental health statusWorse recoveryHealth statusSex differencesBaseline stressSex-based disparitiesYears of ageMultiple health outcomesQuality of lifeGreater mental stressSex-based differencesClinical characteristicsFemale sexEarly recoveryPerceived Stress ScaleGeneral populationGreater psychological stressHealth outcomesImprovement scoresInfarctionPatientsYounger age
2014
Age-specific gender differences in early mortality following ST-segment elevation myocardial infarction in China
Zheng X, Dreyer RP, Hu S, Spatz ES, Masoudi FA, Spertus JA, Nasir K, Li X, Li J, Wang S, Krumholz HM, Jiang L. Age-specific gender differences in early mortality following ST-segment elevation myocardial infarction in China. Heart 2014, 101: 349. PMID: 25510395, PMCID: PMC4453015, DOI: 10.1136/heartjnl-2014-306456.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAge FactorsAgedAged, 80 and overChinaDrug UtilizationFemaleHospital MortalityHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedMyocardial InfarctionMyocardial RevascularizationPercutaneous Coronary InterventionPlatelet Aggregation InhibitorsRetrospective StudiesRural PopulationSex FactorsUrban PopulationConceptsST-segment elevation myocardial infarctionElevation myocardial infarctionGender-age interactionHospital mortalityEarly mortalityMyocardial infarctionChina PEACE-Retrospective AMI StudyHospital mortality rateYears of ageAge-specific gender differencesPatient characteristicsHospital characteristicsMultivariable modelMortality rateGender differencesChinese populationMortalityYounger groupChinese hospitalsWomenAMI studyMenInfarctionAgeRepresentative sample