2023
Patterns of Digoxin Prescribing for Medicare Beneficiaries in the United States 2013-2019
See C, Wheelock K, Caraballo C, Khera R, Annapureddy A, Mahajan S, Lu Y, Krumholz H, Murugiah K. Patterns of Digoxin Prescribing for Medicare Beneficiaries in the United States 2013-2019. American Journal Of Medicine Open 2023, 10: 100048. PMID: 38213879, PMCID: PMC10783702, DOI: 10.1016/j.ajmo.2023.100048.Peer-Reviewed Original ResearchDigoxin prescriptionDigoxin useNew heart failure therapiesGeneral medicine physiciansHeart failure therapyMedicare Part D dataPart D dataDigoxin prescribingFailure therapyPrescriber characteristicsMedicine physiciansMedicare beneficiariesPrescribersLikely maleLogistic regressionDigoxinNew prescribersPrescriptionRecent dataCardiologySex 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 lockdownEvaluation of Temporal Trends in Racial and Ethnic Disparities in Sleep Duration Among US Adults, 2004-2018
Caraballo C, Mahajan S, Valero-Elizondo J, Massey D, Lu Y, Roy B, Riley C, Annapureddy AR, Murugiah K, Elumn J, Nasir K, Nunez-Smith M, Forman HP, Jackson CL, Herrin J, Krumholz HM. Evaluation of Temporal Trends in Racial and Ethnic Disparities in Sleep Duration Among US Adults, 2004-2018. JAMA Network Open 2022, 5: e226385. PMID: 35389500, PMCID: PMC8990329, DOI: 10.1001/jamanetworkopen.2022.6385.Peer-Reviewed Original ResearchConceptsCross-sectional studyLong sleep durationSleep durationWhite individualsBlack individualsLatino individualsEthnic differencesSerial cross-sectional studyNational Health Interview Survey dataHealth Interview Survey dataSelf-reported sleep durationShort sleep durationInterview Survey dataMiddle-aged adultsSelf-reported raceEstimated prevalenceMAIN OUTCOMELong sleepSleep deficiencyHigher household incomeEthnic disparitiesAge groupsHealth disparitiesPrevalenceSleep disparitiesPhysical 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
Trends in Differences in Health Status and Health Care Access and Affordability by Race and Ethnicity in the United States, 1999-2018
Mahajan S, Caraballo C, Lu Y, Valero-Elizondo J, Massey D, Annapureddy AR, Roy B, Riley C, Murugiah K, Onuma O, Nunez-Smith M, Forman HP, Nasir K, Herrin J, Krumholz HM. Trends in Differences in Health Status and Health Care Access and Affordability by Race and Ethnicity in the United States, 1999-2018. JAMA 2021, 326: 637-648. PMID: 34402830, PMCID: PMC8371573, DOI: 10.1001/jama.2021.9907.Peer-Reviewed Original ResearchConceptsHealth care accessFair health statusSelf-reported health statusCare accessHealth statusWhite individualsEthnic differencesLatino/HispanicNational Health Interview Survey dataSerial cross-sectional studySelf-reported functional limitationsBlack individualsHealth Interview Survey dataLow incomeCross-sectional studyCross-sectional survey studyInterview Survey dataSelf-reported raceSelf-report measuresMAIN OUTCOMEUS adultsFunctional limitationsPercentage of peopleSignificant decreaseAdults
2019
Distribution of Industry Payments Among Medical Directors of Catheterization and Electrophysiology Laboratories From the Top 100 US Hospitals
Annapureddy A, Sengodan P, Mahajan S, Annapureddy T, Murugiah K, Desai NR, Curtis JP. Distribution of Industry Payments Among Medical Directors of Catheterization and Electrophysiology Laboratories From the Top 100 US Hospitals. JAMA Internal Medicine 2019, 179: 1282-1284. PMID: 31206125, PMCID: PMC6580439, DOI: 10.1001/jamainternmed.2018.8775.Peer-Reviewed Original Research
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 cohort