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 ResearchConceptsAcute 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. hospitalsWomenInfarctionOutcomesTiming of Blood Draws Among Patients Hospitalized in a Large Academic Medical Center
Caraballo C, Mahajan S, Murugiah K, Mortazavi B, Lu Y, Khera R, Krumholz H. Timing of Blood Draws Among Patients Hospitalized in a Large Academic Medical Center. JAMA 2023, 329: 255-257. PMID: 36648476, PMCID: PMC9856620, DOI: 10.1001/jama.2022.21509.Peer-Reviewed Original Research
2022
Cardiac Status Among Heart Failure Patients With Implantable Cardioverter Defibrillators Before, During, and After COVID-19 Lockdown
Lu Y, Jones PW, Murugiah K, Caraballo C, Mahajan S, Massey D, Ahmed R, Bader E, Krumholz H. Cardiac Status Among Heart Failure Patients With Implantable Cardioverter Defibrillators Before, During, and After COVID-19 Lockdown. Journal Of Cardiac Failure 2022, 28: 1372-1374. PMID: 35690314, PMCID: PMC9187866, DOI: 10.1016/j.cardfail.2022.05.012.Peer-Reviewed Original ResearchConceptsImplantable cardioverter defibrillatorHeart failure patientsCRT-D devicesCardiac statusFailure patientsHeart failureCardioverter defibrillatorCardiac resynchronization therapy defibrillatorAcute cardiac conditionsMedical care deliveryInpatient careCardiac conditionsPhysiologic markersInpatient servicesPatientsCardiac healthCare deliveryMarked restrictionImplanted ICDsMinneapolis/Saint PaulSex subgroupsDefibrillatorCOVID-19Telemedicine servicesCOVID-19 lockdownPhysical Activity Among Patients With Intracardiac Remote Monitoring Devices Before, During, and After COVID-19–Related Restrictions
Lu Y, Jones PW, Murugiah K, Caraballo C, Massey DS, Mahajan S, Ahmed R, Bader EM, Krumholz HM. Physical Activity Among Patients With Intracardiac Remote Monitoring Devices Before, During, and After COVID-19–Related Restrictions. Journal Of The American College Of Cardiology 2022, 79: 309-310. PMID: 35057917, PMCID: PMC8763290, DOI: 10.1016/j.jacc.2021.11.010.Peer-Reviewed Original Research
2021
Delayed medical care due to transportation barriers among adults with atherosclerotic cardiovascular disease
Acquah I, Hagan K, Valero-Elizondo J, Javed Z, Butt SA, Mahajan S, Taha MB, Hyder AA, Mossialos E, Cainzos-Achirica M, Nasir K. Delayed medical care due to transportation barriers among adults with atherosclerotic cardiovascular disease. American Heart Journal 2021, 245: 60-69. PMID: 34902312, DOI: 10.1016/j.ahj.2021.11.019.Peer-Reviewed Original ResearchConceptsAtherosclerotic cardiovascular diseaseTransportation barriersCardiovascular diseaseMedical careSociodemographic characteristicsNon-Hispanic black adultsNational Health Interview SurveyHealth Interview SurveySelf-reported prevalenceUse of telehealthMedicaid insuranceU.S. patientsHigher oddsProvision of transportationMobile clinicsPatientsBlack adultsLogistic regressionYoung adultsInterview SurveyCareYoung individualsAdultsVulnerable groupsDisease
2020
Leveraging the Electronic Health Records for Population Health: A Case Study of Patients With Markedly Elevated Blood Pressure
Lu Y, Huang C, Mahajan S, Schulz WL, Nasir K, Spatz ES, Krumholz HM. Leveraging the Electronic Health Records for Population Health: A Case Study of Patients With Markedly Elevated Blood Pressure. Journal Of The American Heart Association 2020, 9: e015033. PMID: 32200730, PMCID: PMC7428633, DOI: 10.1161/jaha.119.015033.Peer-Reviewed Original ResearchConceptsDiastolic blood pressureSystolic blood pressureElevated blood pressureBlood pressureElectronic health recordsPopulation health surveillanceHealth recordsYale New Haven Health SystemHealth surveillanceHealth systemPatterns of patientsLarge health systemUsual careOutpatient encountersControl ratePatientsCare patternsPopulation healthMonthsHgSurveillancePrevalenceRecordsVisitsCareBurden 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
2018
Enhancing 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 cohortScreening ECGs in low-risk patients are associated with increased risk of downstream cardiac testing
Mahajan S, Krumholz HM. Screening ECGs in low-risk patients are associated with increased risk of downstream cardiac testing. BMJ Evidence-Based Medicine 2018, 23: 150. PMID: 29674521, DOI: 10.1136/bmjebm-2018-110943.Peer-Reviewed Original Research