2024
Racial and Ethnic Disparities in Age-Specific All-Cause Mortality During the COVID-19 Pandemic
Faust J, Renton B, Bongiovanni T, Chen A, Sheares K, Du C, Essien U, Fuentes-Afflick E, Haywood T, Khera R, King T, Li S, Lin Z, Lu Y, Marshall A, Ndumele C, Opara I, Loarte-Rodriguez T, Sawano M, Taparra K, Taylor H, Watson K, Yancy C, Krumholz H. Racial and Ethnic Disparities in Age-Specific All-Cause Mortality During the COVID-19 Pandemic. JAMA Network Open 2024, 7: e2438918. PMID: 39392630, PMCID: PMC11581672, DOI: 10.1001/jamanetworkopen.2024.38918.Peer-Reviewed Original ResearchConceptsCOVID-19 public health emergencyNon-HispanicPublic health emergencyOther Pacific IslanderExcess mortalityAlaska NativesUS populationExcess deathsRates of excess mortalityCross-sectional study analyzed dataYears of potential lifeMortality relative riskNon-Hispanic whitesCross-sectional studyPacific IslandersStudy analyzed dataAll-cause mortalityEthnic groupsMortality disparitiesMortality ratioTotal populationDeath certificatesEthnic disparitiesMain OutcomesDecedent ageLong-term exposure to wildland fire smoke PM2.5 and mortality in the contiguous United States
Ma Y, Zang E, Liu Y, Wei J, Lu Y, Krumholz H, Bell M, Chen K. Long-term exposure to wildland fire smoke PM2.5 and mortality in the contiguous United States. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2403960121. PMID: 39316057, PMCID: PMC11459178, DOI: 10.1073/pnas.2403960121.Peer-Reviewed Original ResearchConceptsWildland firesContiguous United StatesNonaccidental mortalityExposure to ambient fine particlesSmoke PM<sWildland fire smokeMoving average concentrationsAmbient fine particlesLong-term exposureAverage concentrationSmoke PMHealth risksFine particlesFire smokeTemporal confoundingHealth effectsKidney disease mortalityChronic kidney disease mortalityPublic health actionFireMortality rateUnited StatesDisease mortalityHealth actionsMortality outcomesCause-Specific Mortality Rates Among the US Black Population
Arun A, Caraballo C, Sawano M, Lu Y, Khera R, Yancy C, Krumholz H. Cause-Specific Mortality Rates Among the US Black Population. JAMA Network Open 2024, 7: e2436402. PMID: 39348122, PMCID: PMC11443349, DOI: 10.1001/jamanetworkopen.2024.36402.Commentaries, Editorials and Letters
2023
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 ResearchConceptsExcess 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 males
2022
Uncoupling of all-cause excess mortality from COVID-19 cases in a highly vaccinated state
Faust JS, Renton B, Chen AJ, Du C, Liang C, Li SX, Lin Z, Krumholz HM. Uncoupling of all-cause excess mortality from COVID-19 cases in a highly vaccinated state. The Lancet Infectious Diseases 2022, 22: 1419-1420. PMID: 36007530, PMCID: PMC9395168, DOI: 10.1016/s1473-3099(22)00547-3.Peer-Reviewed Original ResearchExcess Mortality in Massachusetts During the Delta and Omicron Waves of COVID-19
Faust JS, Du C, Liang C, Mayes KD, Renton B, Panthagani K, Krumholz HM. Excess Mortality in Massachusetts During the Delta and Omicron Waves of COVID-19. JAMA 2022, 328: 74-76. PMID: 35594035, PMCID: PMC9257575, DOI: 10.1001/jama.2022.8045.Peer-Reviewed Original Research
2021
Disparities in Excess Mortality Associated with COVID-19 — United States, 2020
Rossen LM, Ahmad FB, Anderson RN, Branum AM, Du C, Krumholz HM, Li SX, Lin Z, Marshall A, Sutton PD, Faust JS. Disparities in Excess Mortality Associated with COVID-19 — United States, 2020. MMWR Morbidity And Mortality Weekly Report 2021, 70: 1114-1119. PMID: 34411075, PMCID: PMC8375709, DOI: 10.15585/mmwr.mm7033a2.Peer-Reviewed Original ResearchConceptsMortality incidence ratesIncidence rateExcess mortalityAge groupsHighest excess mortality ratesExcess Mortality AssociatedGreater excess mortalityExcess mortality ratesAI/AN populationsNon-Hispanic American IndianNon-Hispanic blacksNational Vital Statistics SystemCOVID-19 pandemicPublic health messagingNon-Hispanic white populationRace/ethnicityVital Statistics SystemMortality AssociatedLack of adjustmentMortality rateExcess deathsAN populationsEthnic groupsHealth messagingHispanic personsAssociation of COVID-19 Hospitalization Volume and Case Growth at US Hospitals with Patient Outcomes
Khera R, Liu Y, de Lemos JA, Das SR, Pandey A, Omar W, Kumbhani DJ, Girotra S, Yeh RW, Rutan C, Walchok J, Lin Z, Bradley SM, Velazquez EJ, Churchwell KB, Nallamothu BK, Krumholz HM, Curtis JP. Association of COVID-19 Hospitalization Volume and Case Growth at US Hospitals with Patient Outcomes. The American Journal Of Medicine 2021, 134: 1380-1388.e3. PMID: 34343515, PMCID: PMC8325555, DOI: 10.1016/j.amjmed.2021.06.034.Peer-Reviewed Original ResearchConceptsCOVID-19 hospitalizationHospitalization volumeAmerican Heart Association COVID-19 Cardiovascular Disease RegistryCase volumeUS hospitalsCoronavirus disease 2019 (COVID-19) hospitalizationIntensive care unit therapyHospital case fatality ratePoor COVID-19 outcomesCardiovascular Disease RegistryHospital case volumeCase fatality rateCOVID-19 outcomesHospital bed capacityLowest quartilePatient outcomesHospital careHigher oddsTriage strategiesFuture health challengesDisease RegistryMedical treatmentEarly identificationHospitalSignificant associationSARS-CoV-2 Infection Hospitalization Rate and Infection Fatality Rate Among the Non-Congregate Population in Connecticut
Mahajan S, Caraballo C, Li SX, Dong Y, Chen L, Huston SK, Srinivasan R, Redlich CA, Ko AI, Faust JS, Forman HP, Krumholz HM. SARS-CoV-2 Infection Hospitalization Rate and Infection Fatality Rate Among the Non-Congregate Population in Connecticut. The American Journal Of Medicine 2021, 134: 812-816.e2. PMID: 33617808, PMCID: PMC7895685, DOI: 10.1016/j.amjmed.2021.01.020.Peer-Reviewed Original ResearchConceptsInfection hospitalization rateInfection fatality rateHospitalization ratesFatality rateSeroprevalence estimatesSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodiesSARS-CoV-2 antibodiesConnecticut Hospital AssociationNon-Hispanic black peopleProportion of deathsCoronavirus disease 2019Total infected individualsTotal hospitalizationsAdverse outcomesNon-congregate settingsHigh burdenDisease 2019Prevalence studyMost subgroupsInfected individualsHospitalizationOlder peopleHospital AssociationConnecticut DepartmentDeath
2020
Evaluation of STEMI Regionalization on Access, Treatment, and Outcomes Among Adults Living in Nonminority and Minority Communities
Hsia RY, Krumholz H, Shen YC. Evaluation of STEMI Regionalization on Access, Treatment, and Outcomes Among Adults Living in Nonminority and Minority Communities. JAMA Network Open 2020, 3: e2025874. PMID: 33196809, PMCID: PMC7670311, DOI: 10.1001/jamanetworkopen.2020.25874.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBlack or African AmericanCaliforniaCause of DeathCohort StudiesFemaleHealth Services AccessibilityHealthcare DisparitiesHispanic or LatinoHospitalizationHumansMaleMiddle AgedMinority GroupsMortalityNon-Randomized Controlled Trials as TopicPercutaneous Coronary InterventionRegional Medical ProgramsResidence CharacteristicsST Elevation Myocardial InfarctionTime-to-TreatmentWhite PeopleConceptsST-segment elevation myocardial infarctionElevation myocardial infarctionPercutaneous coronary interventionPCI-capable hospitalsZip codesNon-Hispanic whitesPatient's countyCause mortalityCohort studyCoronary interventionPCI hospitalsPCI treatmentWhite patientsCapable hospitalsMyocardial infarctionTop tertileInpatient dataMAIN OUTCOMEPatientsSTEMI regionalizationSmall improvementHospitalPotential mechanismsSame dayHispanic populationClinical Outcomes With Beta-Blocker Use in Patients With Recent History of Myocardial Infarction
Jackevicius CA, Krumholz HM, Ross JS, Koh M, Chong A, Austin PC, Stukel TA, Azizi P, Ko DT. Clinical Outcomes With Beta-Blocker Use in Patients With Recent History of Myocardial Infarction. Canadian Journal Of Cardiology 2020, 36: 1633-1640. PMID: 32416066, DOI: 10.1016/j.cjca.2020.01.024.Peer-Reviewed Original ResearchConceptsPrior myocardial infarctionMyocardial infarctionStable patientsPopulation-based observational studyAngina 1 yearDeath/hospitalizationHistory of revascularisationBeta-blocker useMajor cardiovascular eventsHospital discharge diagnosisUse of BBsIndividual end pointsContemporary clinical trialsYears of ageCardiovascular eventsIndex dateCohort studyComposite outcomeBB useHeart failureMedian agePrimary outcomeClinical outcomesAtrial fibrillationDischarge diagnosisPost-discharge acute care and outcomes following readmission reduction initiatives: national retrospective cohort study of Medicare beneficiaries in the United States
Khera R, Wang Y, Bernheim SM, Lin Z, Krumholz HM. Post-discharge acute care and outcomes following readmission reduction initiatives: national retrospective cohort study of Medicare beneficiaries in the United States. The BMJ 2020, 368: l6831. PMID: 31941686, PMCID: PMC7190056, DOI: 10.1136/bmj.l6831.Peer-Reviewed Original ResearchConceptsAcute care utilizationAcute myocardial infarctionRetrospective cohort studyHeart failureCare utilizationPost-discharge periodEmergency departmentMyocardial infarctionDay mortalityCohort studyHospital admissionObservation unitAcute careNational retrospective cohort studyPost-acute care utilizationHospital Readmissions Reduction ProgramObservation unit carePost-discharge mortalityDay readmission rateRisk of deathReadmissions Reduction ProgramReadmission reduction initiativesReadmission ratesUnit careInpatient unit
2018
Sex and Race Differences in the Utilization and Outcomes of Coronary Artery Bypass Grafting Among Medicare Beneficiaries, 1999–2014
Angraal S, Khera R, Wang Y, Lu Y, Jean R, Dreyer RP, Geirsson A, Desai NR, Krumholz HM. Sex and Race Differences in the Utilization and Outcomes of Coronary Artery Bypass Grafting Among Medicare Beneficiaries, 1999–2014. Journal Of The American Heart Association 2018, 7: e009014. PMID: 30005557, PMCID: PMC6064835, DOI: 10.1161/jaha.118.009014.Peer-Reviewed Original ResearchConceptsCoronary artery bypassCABG utilizationArtery bypassUse of CABGService Medicare beneficiariesCalendar year trendsCABG mortalityUnderwent CABGReadmission ratesCABG proceduresWhite patientsBlack patientsPatient groupMedicare beneficiariesMedicare feeMortality rateCABGAnnual declineWomenRacial subgroupsRacial differencesGreater declineOutcomesPatientsSexNational and Regional Trends in Deep Vein Thrombosis Hospitalization Rates, Discharge Disposition, and Outcomes for Medicare Beneficiaries
Minges KE, Bikdeli B, Wang Y, Attaran RR, Krumholz HM. National and Regional Trends in Deep Vein Thrombosis Hospitalization Rates, Discharge Disposition, and Outcomes for Medicare Beneficiaries. The American Journal Of Medicine 2018, 131: 1200-1208. PMID: 29753792, PMCID: PMC7040884, DOI: 10.1016/j.amjmed.2018.04.033.Peer-Reviewed Original ResearchConceptsDeep vein thrombosisHospitalization ratesVein thrombosisBlack patientsMedicare Standard Analytic FilesProportion of patientsPrincipal discharge diagnosisStandard Analytic FilesSecondary prevention effortsDischarge dispositionHospital lengthInpatient managementReadmission ratesDischarge diagnosisService patientsAdjusted outcomesOutpatient careAnalytic FilesMedicare feeMedicare beneficiariesMortality rateClinical practiceHospitalizationPatientsThrombosisRising Mortality in Patients With Heart Failure in the United States Facts Versus Fiction
Khera R, Dharmarajan K, Krumholz HM. Rising Mortality in Patients With Heart Failure in the United States Facts Versus Fiction. JACC Heart Failure 2018, 6: 610-612. PMID: 29914774, DOI: 10.1016/j.jchf.2018.02.011.Commentaries, Editorials and LettersGeographical Health Priority Areas For Older Americans
Krumholz HM, Normand ST, Wang Y. Geographical Health Priority Areas For Older Americans. Health Affairs 2018, 37: 104-110. PMID: 29309217, DOI: 10.1377/hlthaff.2017.0744.Peer-Reviewed Original ResearchConceptsHealth priority areasMortality rateHigher adjusted mortality ratesRisk-standardized mortality ratesAdjusted mortality rateHealth careUnique Medicare beneficiariesMedicare beneficiariesUS populationHealth disparitiesOlder adultsStudy periodGeographic disparitiesOlder AmericansCarePercentDisparitiesPriority areasWide disparity
2017
National Trends in Use and Outcomes of Pulmonary Artery Catheters Among Medicare Beneficiaries, 1999-2013
Ikuta K, Wang Y, Robinson A, Ahmad T, Krumholz HM, Desai NR. National Trends in Use and Outcomes of Pulmonary Artery Catheters Among Medicare Beneficiaries, 1999-2013. JAMA Cardiology 2017, 2: 908-913. PMID: 28593267, PMCID: PMC5815078, DOI: 10.1001/jamacardio.2017.1670.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCatheterization, Swan-GanzCohort StudiesCross-Sectional StudiesDisease ManagementFemaleHeart FailureHospital MortalityHospitalizationHumansLength of StayMaleMedicareMortalityMyocardial InfarctionPulmonary ArteryRespiratory InsufficiencyUnited StatesVascular Access DevicesConceptsAcute myocardial infarctionLength of stayPAC usePAC placementRespiratory failureHeart failureMyocardial infarctionClinical conditionsPulmonary artery catheter useNational trendsCross-sectional cohort studyStudy periodKey clinical conditionsMedicaid Services inpatientHeart failure admissionsPulmonary artery catheterClinical Modification codesSociodemographic groupsUnique Medicare beneficiariesLack of benefitRace/ethnicityService inpatientsHospital mortalityCatheter useArtery catheterAssociation of Changing Hospital Readmission Rates With Mortality Rates After Hospital Discharge
Dharmarajan K, Wang Y, Lin Z, Normand ST, Ross JS, Horwitz LI, Desai NR, Suter LG, Drye EE, Bernheim SM, Krumholz HM. Association of Changing Hospital Readmission Rates With Mortality Rates After Hospital Discharge. JAMA 2017, 318: 270-278. PMID: 28719692, PMCID: PMC5817448, DOI: 10.1001/jama.2017.8444.Peer-Reviewed Original ResearchConceptsRisk-adjusted readmission ratesRisk-adjusted mortality ratesAcute myocardial infarctionHeart failureReadmission ratesMortality rateMyocardial infarctionMedicare feeService beneficiariesHospital readmission ratesMean hospitalHospital mortalityPostdischarge mortalityHospital dischargeHospital readmissionRetrospective studyAffordable Care ActReadmission reductionMAIN OUTCOMEPneumoniaHospitalSecondary analysisWeighted Pearson correlation coefficientMortalityCare Act
2016
Association Between Hospital Performance on Patient Safety and 30‐Day Mortality and Unplanned Readmission for Medicare Fee‐for‐Service Patients With Acute Myocardial Infarction
Wang Y, Eldridge N, Metersky ML, Sonnenfeld N, Fine JM, Pandolfi MM, Eckenrode S, Bakullari A, Galusha DH, Jaser L, Verzier NR, Nuti SV, Hunt D, Normand S, Krumholz HM. Association Between Hospital Performance on Patient Safety and 30‐Day Mortality and Unplanned Readmission for Medicare Fee‐for‐Service Patients With Acute Myocardial Infarction. Journal Of The American Heart Association 2016, 5: e003731. PMID: 27405808, PMCID: PMC5015406, DOI: 10.1161/jaha.116.003731.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCause of DeathCenters for Medicare and Medicaid Services, U.S.Fee-for-Service PlansFemaleHospitalsHospitals, RuralHospitals, VoluntaryHumansMaleMedicareMortalityMyocardial InfarctionPatient ReadmissionPatient SafetyPrognosisUnited StatesUnited States Agency for Healthcare Research and QualityConceptsAcute myocardial infarctionUnplanned readmission rateMedicare Patient Safety Monitoring SystemRisk-standardized mortalityAdverse eventsReadmission ratesService patientsMedicare feeUnplanned readmissionMyocardial infarctionMedicare patientsPatient safetyHospital performanceMore adverse eventsAdverse event ratesAcute care hospitalsPatient safety dataHospital mortalityAdverse event measuresCause mortalityOccurrence rateCare hospitalHospital characteristicsReadmission dataPatient safety performance
2015
Smoking status and life expectancy after acute myocardial infarction in the elderly
Bucholz EM, Beckman AL, Kiefe CI, Krumholz HM. Smoking status and life expectancy after acute myocardial infarction in the elderly. Heart 2015, 102: 133. PMID: 26596792, PMCID: PMC5459390, DOI: 10.1136/heartjnl-2015-308263.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionCurrent smokersYears of lifeLife expectancyMyocardial infarctionLower short-term mortalityHigher long-term mortalityLower crude mortalityLong-term mortalityBurden of smokingShort-term mortalityCooperative Cardiovascular ProjectElderly Medicare patientsAge-specific associationsMedical record studyCurrent smokingCrude mortalityPatient characteristicsSmoking statusCessation effortsMedicare patientsLong-term effectsSmokingSmokersLower life expectancy