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
2023
Sex Difference in Outcomes of Acute Myocardial Infarction in Young Patients
Sawano M, Lu Y, Caraballo C, Mahajan S, Dreyer R, Lichtman J, D'Onofrio G, Spatz E, Khera R, Onuma O, Murugiah K, Spertus J, Krumholz H. Sex Difference in Outcomes of Acute Myocardial Infarction in Young Patients. Journal Of The American College Of Cardiology 2023, 81: 1797-1806. PMID: 37137590, DOI: 10.1016/j.jacc.2023.03.383.Peer-Reviewed Original ResearchMeSH KeywordsFemaleHealth StatusHospitalizationHumansMaleMyocardial InfarctionRisk FactorsSex CharacteristicsSex FactorsConceptsAcute myocardial infarctionNoncardiac hospitalizationsSubdistribution HRYounger patientsMyocardial infarctionSex differencesYoung womenCause-specific hospitalizationsCause of hospitalizationWorse health statusSignificant sex disparityNoncardiovascular hospitalizationsVIRGO StudyIndex episodeAdverse outcomesIncidence rateHospitalizationHigh riskSex disparitiesHealth statusPatientsU.S. hospitalsWomenInfarctionOutcomesQuantifying Blood Pressure Visit-to-Visit Variability in the Real-World Setting: A Retrospective Cohort Study
Lu Y, Linderman G, Mahajan S, Liu Y, Huang C, Khera R, Mortazavi B, Spatz E, Krumholz H. Quantifying Blood Pressure Visit-to-Visit Variability in the Real-World Setting: A Retrospective Cohort Study. Circulation Cardiovascular Quality And Outcomes 2023, 16: e009258. PMID: 36883456, DOI: 10.1161/circoutcomes.122.009258.Peer-Reviewed Original ResearchConceptsRetrospective cohort studyBlood pressure valuesPatient characteristicsReal-world settingCohort studyPatient subgroupsYale New Haven Health SystemMean body mass indexSystolic blood pressure valuesBlood pressure visitHistory of hypertensionCoronary artery diseaseManagement of patientsMultivariable linear regression modelsBlood pressure readingsBody mass indexPatient-level measuresBlood pressure variationAbsolute standardized differencesNon-Hispanic whitesAntihypertensive medicationsReal-world practiceVisit variabilityArtery diseaseRegression models
2022
Social Determinants of Suboptimal Cardiovascular Health Among Pregnant Women in the United States
Sharma G, Grandhi GR, Acquah I, Mszar R, Mahajan S, Khan SU, Javed Z, Mehta LS, Gulati M, Cainzos‐Achirica M, Blumenthal RS, Nasir K. Social Determinants of Suboptimal Cardiovascular Health Among Pregnant Women in the United States. Journal Of The American Heart Association 2022, 11: e022837. PMID: 35014862, PMCID: PMC9238529, DOI: 10.1161/jaha.121.022837.Peer-Reviewed Original ResearchConceptsSuboptimal cardiovascular healthInsufficient physical activityPregnant womenCardiovascular healthAssociation of SDOHRisk factorsPhysical activitySocial determinantsNational Health Interview SurveyModifiable risk factorsPublic health urgencyHealth Interview SurveyDisadvantaged pregnant womenPoisson regression modelsMaternal morbidityRisk ratioFirst quartileSDOHInterview SurveyCross-sectional dataWomenQuartileRegression modelsHealthUnited States
2021
Scope and Social Determinants of Food Insecurity Among Adults With Atherosclerotic Cardiovascular Disease in the United States
Mahajan S, Grandhi GR, Valero‐Elizondo J, Mszar R, Khera R, Acquah I, Yahya T, Virani SS, Blankstein R, Blaha MJ, Cainzos‐Achirica M, Nasir K. Scope and Social Determinants of Food Insecurity Among Adults With Atherosclerotic Cardiovascular Disease in the United States. Journal Of The American Heart Association 2021, 10: e020028. PMID: 34387089, PMCID: PMC8475063, DOI: 10.1161/jaha.120.020028.Peer-Reviewed Original ResearchConceptsHigh-risk characteristicsUS adultsNational Health Interview Survey dataHealth Interview Survey dataAtherosclerotic cardiovascular diseaseCoronary heart diseaseSelf-reported diagnosisNon-Hispanic blacksInterview Survey dataFood Security Survey ModuleCardiovascular disease resultsLow family incomeAdult Food Security Survey ModuleFood insecurityHeart diseaseASCVDCardiovascular diseasePocket healthcare expenditureHigher oddsSociodemographic determinantsDisease resultsStudy participantsSocial determinantsHealthcare expendituresSociodemographic subgroups
2020
Associations Between the Severity of Influenza Seasons and Mortality and Readmission Risks After Elective Surgical Aortic Valve Replacement and Coronary Artery Bypass Graft Surgery in Older Adults
Mori M, Wang Y, Mahajan S, Geirsson A, Krumholz HM. Associations Between the Severity of Influenza Seasons and Mortality and Readmission Risks After Elective Surgical Aortic Valve Replacement and Coronary Artery Bypass Graft Surgery in Older Adults. JAMA Network Open 2020, 3: e2031078. PMID: 33355673, PMCID: PMC7758803, DOI: 10.1001/jamanetworkopen.2020.31078.Peer-Reviewed Original ResearchConceptsSurgical aortic valve replacementElective surgical aortic valve replacementAortic valve replacementValve replacementReadmission riskCoronary artery bypass graft surgeryArtery bypass graft surgeryOlder adultsBypass graft surgeryCoronary artery bypassCross-sectional studyArtery bypassGraft surgeryInfluenza seasonMedicaid ServicesMortalitySeverityAdultsRiskAssociationSurgeryBypassBurden and Consequences of Financial Hardship From Medical Bills Among Nonelderly Adults With Diabetes Mellitus in the United States
Caraballo C, Valero-Elizondo J, Khera R, Mahajan S, Grandhi GR, Virani SS, Mszar R, Krumholz HM, Nasir K. Burden and Consequences of Financial Hardship From Medical Bills Among Nonelderly Adults With Diabetes Mellitus in the United States. Circulation Cardiovascular Quality And Outcomes 2020, 13: e006139. PMID: 32069093, DOI: 10.1161/circoutcomes.119.006139.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsBlack or African AmericanComorbidityCost of IllnessCross-Sectional StudiesDiabetes MellitusFemaleFinancing, PersonalFood SupplyHealth Care CostsHealth Care SurveysHealth ExpendituresHealth Services AccessibilityHumansIncomeMaleMedically UninsuredMiddle AgedPatient ComplianceRisk AssessmentRisk FactorsUnited StatesYoung AdultConceptsDiabetes mellitusMedical billsHigher oddsMedical careNational Health Interview Survey dataHealth Interview Survey dataCost-related medication nonadherenceHigher comorbidity burdenCost-related nonadherenceSelf-reported diagnosisNon-Hispanic blacksInterview Survey dataFinancial hardshipMedication nonadherenceMean ageNonmedical needsHigh prevalenceMellitusMultivariate analysisPocket expenditureFood insecurityNonadherenceHigh financial distressPatientsAdults
2019
Development and Validation of a Model for Predicting the Risk of Acute Kidney Injury Associated With Contrast Volume Levels During Percutaneous Coronary Intervention
Huang C, Li SX, Mahajan S, Testani JM, Wilson FP, Mena CI, Masoudi FA, Rumsfeld JS, Spertus JA, Mortazavi BJ, Krumholz HM. Development and Validation of a Model for Predicting the Risk of Acute Kidney Injury Associated With Contrast Volume Levels During Percutaneous Coronary Intervention. JAMA Network Open 2019, 2: e1916021. PMID: 31755952, PMCID: PMC6902830, DOI: 10.1001/jamanetworkopen.2019.16021.Peer-Reviewed Original ResearchConceptsCreatinine level increaseAcute kidney injuryPercutaneous coronary interventionContrast volumeAKI riskKidney injuryCoronary interventionBaseline riskCardiology National Cardiovascular Data Registry's CathPCI RegistryNational Cardiovascular Data Registry CathPCI RegistryRisk of AKIAcute Kidney Injury AssociatedDifferent baseline risksPCI safetyCathPCI RegistryInjury AssociatedMean ageDerivation setPreprocedural riskMAIN OUTCOMEAmerican CollegePrognostic studiesUS hospitalsCalibration slopeValidation set
2018
Gender Differences in Patient‐Reported Outcomes Among Adults With Atherosclerotic Cardiovascular Disease
Okunrintemi V, Valero‐Elizondo J, Patrick B, Salami J, Tibuakuu M, Ahmad S, Ogunmoroti O, Mahajan S, Khan SU, Gulati M, Nasir K, Michos ED. Gender Differences in Patient‐Reported Outcomes Among Adults With Atherosclerotic Cardiovascular Disease. Journal Of The American Heart Association 2018, 7: e010498. PMID: 30561253, PMCID: PMC6405598, DOI: 10.1161/jaha.118.010498.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAtherosclerosisCross-Sectional StudiesFemaleHealth CommunicationHealth Knowledge, Attitudes, PracticeHealth Status DisparitiesHealthcare DisparitiesHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedPatient Reported Outcome MeasuresPatient SatisfactionPhysician-Patient RelationsPlatelet Aggregation InhibitorsQuality of LifeRetrospective StudiesRisk FactorsSex FactorsUnited StatesYoung AdultConceptsHealth-related qualityBackground Atherosclerotic cardiovascular diseaseLower health-related qualityAtherosclerotic cardiovascular diseasePatient experienceCardiovascular diseaseHealth outcomesPoor patient-provider communicationImportant public health implicationsSelf-reported patient experienceNinth Revision codesPatient-centered outcomesPatient-reported outcomesPatient-provider communicationThird of deathsPoor perceptionPoor patient experiencePositive patient experiencePublic health implicationsMedical Expenditure PanelPerception of healthGender-specific differencesRepresentative US sampleGender differencesASCVD patientsEnhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study
Huang C, Murugiah K, Mahajan S, Li SX, Dhruva SS, Haimovich JS, Wang Y, Schulz WL, Testani JM, Wilson FP, Mena CI, Masoudi FA, Rumsfeld JS, Spertus JA, Mortazavi BJ, Krumholz HM. Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study. PLOS Medicine 2018, 15: e1002703. PMID: 30481186, PMCID: PMC6258473, DOI: 10.1371/journal.pmed.1002703.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAgedClinical Decision-MakingData MiningDecision Support TechniquesFemaleHumansMachine LearningMaleMiddle AgedPercutaneous Coronary InterventionProtective FactorsRegistriesReproducibility of ResultsRetrospective StudiesRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeConceptsPercutaneous coronary interventionNational Cardiovascular Data RegistryRisk prediction modelAKI eventsAKI riskCoronary interventionAKI modelMean ageCardiology-National Cardiovascular Data RegistryAcute kidney injury riskAKI risk predictionRetrospective cohort studyIdentification of patientsCandidate variablesAvailable candidate variablesCohort studyPCI proceduresPoint of careBrier scoreAmerican CollegeData registryPatientsCalibration slopeInjury riskSame cohort