Featured Publications
Excess Mortality and Years of Potential Life Lost Among the Black Population in the US, 1999-2020
Caraballo C, Massey D, Ndumele C, Haywood T, Kaleem S, King T, Liu Y, Lu Y, Nunez-Smith M, Taylor H, Watson K, Herrin J, Yancy C, Faust J, Krumholz H. Excess Mortality and Years of Potential Life Lost Among the Black Population in the US, 1999-2020. JAMA 2023, 329: 1662-1670. PMID: 37191702, PMCID: PMC10189563, DOI: 10.1001/jama.2023.7022.Peer-Reviewed Original ResearchMeSH KeywordsAdultBlack or African AmericanBlack PeopleCross-Sectional StudiesEthnicityFemaleHealth PromotionHumansInfantLife ExpectancyMaleMiddle AgedMortalityUnited StatesWhiteConceptsExcess mortality ratesExcess deathsMortality ratePotential lifeWhite populationExcess mortalitySerial cross-sectional studyHighest excess mortality ratesBlack populationCause-specific mortalityCross-sectional studyHigh mortality rateNon-Hispanic whitesYears of lifeUS national dataMiddle-aged adultsCause mortalityHeart diseaseDeath certificatesNon-Hispanic black populationMAIN OUTCOMEAge groupsDisease controlMortalityBlack malesTrends in Racial and Ethnic Disparities in Barriers to Timely Medical Care Among Adults in the US, 1999 to 2018
Caraballo C, Ndumele CD, Roy B, Lu Y, Riley C, Herrin J, Krumholz HM. Trends in Racial and Ethnic Disparities in Barriers to Timely Medical Care Among Adults in the US, 1999 to 2018. JAMA Health Forum 2022, 3: e223856. PMID: 36306118, PMCID: PMC9617175, DOI: 10.1001/jamahealthforum.2022.3856.Peer-Reviewed Original ResearchMeSH KeywordsAdultBlack PeopleCohort StudiesCross-Sectional StudiesEthnicityFemaleHispanic or LatinoHumansMaleMiddle AgedConceptsTimely medical careSerial cross-sectional studyNational Health Interview SurveyCross-sectional studyHealth Interview SurveyMedical careLack of transportationEthnic disparitiesHispanics/LatinosWhite individualsEthnicity groupsInterview SurveyCost of careSelf-reported raceStudy cohortClinic hoursMAIN OUTCOMEMedical officesCarePrevalenceLatino individualsBlack individualsSignificant differencesSignificant increasePopulation groupsTemporal Trends in Racial and Ethnic Disparities in Multimorbidity Prevalence in the United States, 1999-2018
Caraballo C, Herrin J, Mahajan S, Massey D, Lu Y, Ndumele CD, Drye EE, Krumholz HM. Temporal Trends in Racial and Ethnic Disparities in Multimorbidity Prevalence in the United States, 1999-2018. The American Journal Of Medicine 2022, 135: 1083-1092.e14. PMID: 35472394, DOI: 10.1016/j.amjmed.2022.04.010.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultChronic DiseaseCross-Sectional StudiesEthnicityHumansMultimorbidityPrevalenceUnited StatesConceptsMultimorbidity prevalenceRace/ethnicityWhite individualsChronic conditionsBlack individualsSerial cross-sectional analysisCommon chronic conditionsRisk of morbidityPrevalence of multimorbidityPublic health interventionsCross-sectional analysisSelf-reported presenceSelf-reported raceLatino/HispanicMAIN OUTCOMEHealth interventionsEthnic disparitiesPrevalenceHealth inequalitiesStudy periodEarly lifeHispanic individualsTemporal trendsStudy sampleAsian individualsEvaluation 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 ResearchMeSH KeywordsAdultBlack PeopleCross-Sectional StudiesEthnicityFemaleHispanic or LatinoHumansMaleMiddle AgedSleepConceptsCross-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 disparitiesTrends 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
2023
Use of Recalled Devices in New Device Authorizations Under the US Food and Drug Administration’s 510(k) Pathway and Risk of Subsequent Recalls
Kadakia K, Dhruva S, Caraballo C, Ross J, Krumholz H. Use of Recalled Devices in New Device Authorizations Under the US Food and Drug Administration’s 510(k) Pathway and Risk of Subsequent Recalls. JAMA 2023, 329: 136-143. PMID: 36625810, PMCID: PMC9857464, DOI: 10.1001/jama.2022.23279.Peer-Reviewed Original Research
2021
Engagement With COVID-19 Public Health Measures in the United States: A Cross-sectional Social Media Analysis from June to November 2020
Massey D, Huang C, Lu Y, Cohen A, Oren Y, Moed T, Matzner P, Mahajan S, Caraballo C, Kumar N, Xue Y, Ding Q, Dreyer R, Roy B, Krumholz H. Engagement With COVID-19 Public Health Measures in the United States: A Cross-sectional Social Media Analysis from June to November 2020. Journal Of Medical Internet Research 2021, 23: e26655. PMID: 34086593, PMCID: PMC8218897, DOI: 10.2196/26655.Peer-Reviewed Original Research
2020
Relationship of Age With the Hemodynamic Parameters in Individuals With Elevated Blood Pressure
Mahajan S, Gu J, Caraballo C, Lu Y, Spatz ES, Zhao H, Zhang M, Sun N, Zheng X, Lu H, Yuan H, J. Z, Krumholz HM. Relationship of Age With the Hemodynamic Parameters in Individuals With Elevated Blood Pressure. Journal Of The American Geriatrics Society 2020, 68: 1520-1528. PMID: 32212398, DOI: 10.1111/jgs.16411.Peer-Reviewed Original ResearchMeSH KeywordsAgingBlood PressureCardiography, ImpedanceChinaCross-Sectional StudiesFemaleHemodynamicsHumansHypertensionMaleMiddle AgedConceptsElevated blood pressureBlood pressureCardiac indexHemodynamic profileHemodynamic parametersHealth checkup centerFinal study populationPathophysiology of hypertensionSelection of therapyCross-sectional studyMin/Relationship of ageDifferent age groupsHemodynamic assessmentMean ageStudy populationMAIN OUTCOMEAge strataAge groupsLarger studyImpedance cardiographyAgeSVRIWomenMenBurden 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