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, 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 outcomesUse of electronic health records to characterize patients with uncontrolled hypertension in two large health system networks
Lu Y, Keeley E, Barrette E, Cooper-DeHoff R, Dhruva S, Gaffney J, Gamble G, Handke B, Huang C, Krumholz H, McDonough C, Schulz W, Shaw K, Smith M, Woodard J, Young P, Ervin K, Ross J. Use of electronic health records to characterize patients with uncontrolled hypertension in two large health system networks. BMC Cardiovascular Disorders 2024, 24: 497. PMID: 39289597, PMCID: PMC11409735, DOI: 10.1186/s12872-024-04161-x.Peer-Reviewed Original ResearchConceptsElectronic health recordsHealth recordsHealth systemUncontrolled hypertensionUse of electronic health recordsHypertension managementElectronic health record systemsOneFlorida Clinical Research ConsortiumElectronic health record dataYale New Haven Health SystemBP measurementsICD-10-CM codesHealth system networkPublic health priorityICD-10-CMIncidence rate of deathElevated BP measurementsElevated blood pressure measurementsHealthcare visitsAmbulatory careHealth priorityRetrospective cohort studyEHR dataOneFloridaBlood pressure measurementsCardiovascular Disease Risk Factor Control Following Release From Carceral Facilities: A Cross-Sectional Study.
Aminawung J, Puglisi L, Roy B, Horton N, Elumn J, Lin H, Bibbins-Domingo K, Krumholz H, Wang E. Cardiovascular Disease Risk Factor Control Following Release From Carceral Facilities: A Cross-Sectional Study. Journal Of The American Heart Association 2024, 13: ejaha2024035683t. PMID: 39248257, DOI: 10.1161/jaha.124.035683.Peer-Reviewed Original ResearchConceptsUncontrolled CVD risk factorsCardiovascular disease risk factor controlCVD risk factorsRisk factor controlFactor controlRisk factorsSocial determinant of cardiovascular healthCardiovascular diseaseProspective cohort study of individualsDeterminants of cardiovascular healthPublic health prevention effortsCardiovascular disease risk factorsCohort study of individualsHealth prevention effortsCross-sectional studyProspective cohort studyCarceral facilitiesCorrectional facilitiesSocial determinantsTailored interventionsTraditional risk factorsStudy of individualsAdversity scorePerceived stressCardiovascular healthCause-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.Peer-Reviewed Original ResearchComparative Effectiveness of Second-Line Antihyperglycemic Agents for Cardiovascular Outcomes A Multinational, Federated Analysis of LEGEND-T2DM
Khera R, Aminorroaya A, Dhingra L, Thangaraj P, Pedroso Camargos A, Bu F, Ding X, Nishimura A, Anand T, Arshad F, Blacketer C, Chai Y, Chattopadhyay S, Cook M, Dorr D, Duarte-Salles T, DuVall S, Falconer T, French T, Hanchrow E, Kaur G, Lau W, Li J, Li K, Liu Y, Lu Y, Man K, Matheny M, Mathioudakis N, McLeggon J, McLemore M, Minty E, Morales D, Nagy P, Ostropolets A, Pistillo A, Phan T, Pratt N, Reyes C, Richter L, Ross J, Ruan E, Seager S, Simon K, Viernes B, Yang J, Yin C, You S, Zhou J, Ryan P, Schuemie M, Krumholz H, Hripcsak G, Suchard M. Comparative Effectiveness of Second-Line Antihyperglycemic Agents for Cardiovascular Outcomes A Multinational, Federated Analysis of LEGEND-T2DM. Journal Of The American College Of Cardiology 2024, 84: 904-917. PMID: 39197980, DOI: 10.1016/j.jacc.2024.05.069.Peer-Reviewed Original ResearchConceptsGLP-1 RAsSecond-line agentsGLP-1Antihyperglycemic agentsCardiovascular diseaseMACE riskGlucagon-like peptide-1 receptor agonistsSodium-glucose cotransporter 2 inhibitorsPeptide-1 receptor agonistsDipeptidyl peptidase-4 inhibitorsEffects of SGLT2isType 2 diabetes mellitusPeptidase-4 inhibitorsAdverse cardiovascular eventsCox proportional hazards modelsRandom-effects meta-analysisCardiovascular risk reductionTarget trial emulationProportional hazards modelBarriers to Optimal Clinician Guideline Adherence in Management of Markedly Elevated Blood Pressure
Lu Y, Arowojolu O, Qiu X, Liu Y, Curry L, Krumholz H. Barriers to Optimal Clinician Guideline Adherence in Management of Markedly Elevated Blood Pressure. JAMA Network Open 2024, 7: e2426135. PMID: 39106065, PMCID: PMC11304113, DOI: 10.1001/jamanetworkopen.2024.26135.Peer-Reviewed Original ResearchConceptsBarriers to guideline adherenceElectronic health recordsGuideline adherenceClinician adherenceEHR dataElevated blood pressureHypertension managementAnalysis of EHR dataYale New Haven Health SystemSevere hypertensionClinical practice guidelinesAdherence scenariosQualitative content analysisPublic health challengeThematic saturationHealth recordsHealth systemBlood pressureThematic analysisTargeted interventionsManagement of severe hypertensionQualitative studyHealth challengesPractice guidelinesPatient outcomesLearning implementation of a guideline based decision support system to improve hypertension treatment in primary care in China: pragmatic cluster randomised controlled trial
Song J, Wang X, Wang B, Ge Y, Bi L, Jing F, Jin H, Li T, Gu B, Wang L, Hao J, Zhao Y, Liu J, Zhang H, Li X, Li J, Ma W, Wang J, Normand S, Herrin J, Armitage J, Krumholz H, Zheng X. Learning implementation of a guideline based decision support system to improve hypertension treatment in primary care in China: pragmatic cluster randomised controlled trial. The BMJ 2024, 386: e079143. PMID: 39043397, PMCID: PMC11265211, DOI: 10.1136/bmj-2023-079143.Peer-Reviewed Original ResearchConceptsClinical decision support systemsPrimary care practicesElectronic health recordsIntervention groupSystolic blood pressurePrimary careCare practicesBlood pressure <Health recordsPragmatic cluster randomised controlled trialCluster randomised controlled trialImproving hypertension treatmentPrimary care settingBlood pressure control ratesBlood pressureProportion of visitsProportion of participantsRandomised controlled trialsSystolic blood pressure <Control groupInjurious fallsRelated visitsCare settingsDiastolic blood pressure <Follow-upIncorporating Medicare Advantage Admissions Into the CMS Hospital-Wide Readmission Measure
Kyanko K, Sahay K, Wang Y, Li S, Schreiber M, Hager M, Myers R, Johnson W, Zhang J, Krumholz H, Suter L, Triche E. Incorporating Medicare Advantage Admissions Into the CMS Hospital-Wide Readmission Measure. JAMA Network Open 2024, 7: e2414431. PMID: 38829614, PMCID: PMC11148674, DOI: 10.1001/jamanetworkopen.2024.14431.Peer-Reviewed Original ResearchConceptsCenters for Medicare & Medicaid ServicesSpecialty subgroupsPerformance quintileMedicare AdvantageReadmission ratesRisk-standardized readmission ratesHospital-wide readmission measureHospital outcome measuresTest-retest reliabilityRisk-adjustment variablesMeasurement reliabilityAdministrative claims dataReadmission measuresImprove measurement reliabilityIntegrated data repositoryMA beneficiariesQuintile rankingsMedicare beneficiariesMedicaid ServicesAll-causePublic reportingStudy assessed differencesClaims dataOutcome measuresMA cohortSocial Determinants of Health and Delivery of Rehabilitation to Older Adults During ICU Hospitalization
Jain S, Murphy T, Falvey J, Leo-Summers L, O’Leary J, Zang E, Gill T, Krumholz H, Ferrante L. Social Determinants of Health and Delivery of Rehabilitation to Older Adults During ICU Hospitalization. JAMA Network Open 2024, 7: e2410713. PMID: 38728030, PMCID: PMC11087837, DOI: 10.1001/jamanetworkopen.2024.10713.Peer-Reviewed Original ResearchConceptsSocial determinants of healthDeterminants of healthOccupational therapyPhysical therapyOlder adultsRural residentsIntensive care unit hospitalizationRehabilitation deliveryIntensive care unitSocial determinantsSocioeconomic disadvantageNational Health and Aging Trends StudyDelivery of physical therapyIllness hospitalizationFactors associated with lower oddsDelivery of rehabilitationIn-hospital rehabilitationMitigate functional declineMedicaid eligibilityBurden of disabilityHigh school educationDual MedicareTrends StudyMedicare claimsLength of stayHypertension Trends and Disparities Over 12 Years in a Large Health System: Leveraging the Electronic Health Records
Brush J, Lu Y, Liu Y, Asher J, Li S, Sawano M, Young P, Schulz W, Anderson M, Burrows J, Krumholz H. Hypertension Trends and Disparities Over 12 Years in a Large Health System: Leveraging the Electronic Health Records. Journal Of The American Heart Association 2024, 13: e033253. PMID: 38686864, PMCID: PMC11179912, DOI: 10.1161/jaha.123.033253.Peer-Reviewed Original ResearchConceptsElectronic health recordsRegional health systemImprove hypertension careHealth systemHealth recordsHypertension careDiastolic blood pressureAge-adjusted prevalence ratesNon-Hispanic Black patientsPrevalence ratesLarger health systemCross-sectional analysisTransformation of medical dataLeveraging real-world dataHigh prevalence rateHypertension trendsHypertension prevalenceBlood pressureBlood pressure measurementsHypertension diagnosisPrimary outcomeNational trendsProportion of patientsAntihypertensive medicationsBlack patientsAssociation 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
Association of Neighborhood-Level Marginalization With Health Care Use and Clinical Outcomes Following Hospital Discharge in Patients Who Underwent Coronary Catheterization for Acute Myocardial Infarction in a Single-Payer Health Care System
Akioyamen L, Abdel-Qadir H, Han L, Sud M, Mistry N, Alter D, Atzema C, Austin P, Bhatia R, Booth G, Dhalla I, Ha A, Jackevicius C, Kapral M, Krumholz H, Lee D, McNaughton C, Roifman I, Schull M, Sivaswamy A, Tu K, Udell J, Wijeysundera H, Ko D. Association of Neighborhood-Level Marginalization With Health Care Use and Clinical Outcomes Following Hospital Discharge in Patients Who Underwent Coronary Catheterization for Acute Myocardial Infarction in a Single-Payer Health Care System. Circulation Cardiovascular Quality And Outcomes 2023, 16: e010063. PMID: 38050754, DOI: 10.1161/circoutcomes.123.010063.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionHealth care systemHospital dischargeClinical outcomesSocioeconomic statusFirst acute myocardial infarctionProportional hazards regression modelsCare systemSecondary prevention medicationsWorse clinical outcomesHealth service usePopulation-based studyPrimary care physiciansHealth care useHazards regression modelsGreater long-term riskPrescription medication useSingle-payer health care systemUniversal health care systemLong-term riskLow socioeconomic statusCause mortalityDays postdischargePrevention medicationsRace and Ethnicity and Emergency Department Discharge Against Medical Advice
Tsai J, Janke A, Krumholz H, Khidir H, Venkatesh A. Race and Ethnicity and Emergency Department Discharge Against Medical Advice. JAMA Network Open 2023, 6: e2345437. PMID: 38015503, PMCID: PMC10685883, DOI: 10.1001/jamanetworkopen.2023.45437.Peer-Reviewed Original ResearchConceptsWhite patientsHispanic patientsEmergency departmentCross-sectional studyED visitsBlack patientsDAMA rateMedical adviceMAIN OUTCOMEEthnic disparitiesNationwide Emergency Department SampleNational cross-sectional studyHospital ED visitsEmergency department dischargeHospital-level variationEmergency Department SampleMetropolitan teaching hospitalHealth care resourcesMedian ageGreater morbidityHospital variationUnadjusted analysesTeaching hospitalAdditional adjustmentLower oddsSex‐Specific Associations of Obstructive Sleep Apnea Risk With Patient Characteristics and Functional Outcomes After Acute Myocardial Infarction: Evidence From the VIRGO Study
Gupta A, Barthel A, Mahajan S, Dreyer R, Yaggi H, Bueno H, Lichtman J, Krumholz H. Sex‐Specific Associations of Obstructive Sleep Apnea Risk With Patient Characteristics and Functional Outcomes After Acute Myocardial Infarction: Evidence From the VIRGO Study. Journal Of The American Heart Association 2023, 12: e027225. PMID: 37702090, PMCID: PMC10547292, DOI: 10.1161/jaha.122.027225.Peer-Reviewed Original ResearchConceptsObstructive sleep apneaAcute myocardial infarctionHigh OSA riskOSA riskSex-specific associationsFunctional outcomeHealth statusHigh riskVIRGO StudyMyocardial infarctionDepressive symptomsHistory of OSATime of AMIImpact of OSAObstructive sleep apnea riskLow-risk patientsSleep apnea riskMajority of patientsTime of presentationSex-specific outcomesWorse health statusHigh-risk menPoor health statusMental health statusPoor health outcomesImpact of Marital Stress on 1‐Year Health Outcomes Among Young Adults With Acute Myocardial Infarction
Zhu C, Dreyer R, Li F, Spatz E, Caraballo‐Cordovez C, Mahajan S, Raparelli V, Leifheit E, Lu Y, Krumholz H, Spertus J, D'Onofrio G, Pilote L, Lichtman J. Impact of Marital Stress on 1‐Year Health Outcomes Among Young Adults With Acute Myocardial Infarction. Journal Of The American Heart Association 2023, 12: e030031. PMID: 37589125, PMCID: PMC10547344, DOI: 10.1161/jaha.123.030031.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionCardiac-specific qualityGeneric health statusMyocardial infarctionBaseline healthMarital stressHealth outcomesHealth statusWorse patient-reported outcomesMental healthYoung adultsObservational cohort studyPatient-reported outcomesSocioeconomic factorsWorse mental healthReadmission 1Cause readmissionCohort studyYounger patientsRoutine screeningDepressive symptomsGreater oddsAnginaMale participantsOutcomesImpact of Sex‐ and Gender‐Related Factors on Length of Stay Following Non–ST‐Segment–Elevation Myocardial Infarction: A Multicountry Analysis
Bender U, Norris C, Dreyer R, Krumholz H, Raparelli V, Pilote L. Impact of Sex‐ and Gender‐Related Factors on Length of Stay Following Non–ST‐Segment–Elevation Myocardial Infarction: A Multicountry Analysis. Journal Of The American Heart Association 2023, 12: e028553. PMID: 37489737, PMCID: PMC10492965, DOI: 10.1161/jaha.122.028553.Peer-Reviewed Original ResearchConceptsSegment elevation myocardial infarctionMyocardial infarctionGender-related factorsLonger LOSSegment elevation myocardial infarction diagnosisConclusions Older ageObservational cohort studyAdverse clinical outcomesAdjusted multivariable modelAcute myocardial infarctionLength of stayImpact of sexHealth care expendituresGENESIS-PRAXYHospital lengthNon–STCause mortalityCohort studyIndependent predictorsMyocardial infarction diagnosisClinical outcomesShorter LOSMedical historyMultivariable modelUnivariate associationsAssociation of Beta-Blocker Therapy With Cardiovascular Outcomes in Patients With Stable Ischemic Heart Disease
Godoy L, Farkouh M, Austin P, Shah B, Qiu F, Jackevicius C, Wijeysundera H, Krumholz H, Ko D. Association of Beta-Blocker Therapy With Cardiovascular Outcomes in Patients With Stable Ischemic Heart Disease. Journal Of The American College Of Cardiology 2023, 81: 2299-2311. PMID: 37316110, DOI: 10.1016/j.jacc.2023.04.021.Peer-Reviewed Original ResearchConceptsStable coronary artery diseaseCoronary artery diseaseBeta-blocker groupRecent myocardial infarctionHeart failureMyocardial infarctionCardiovascular eventsCoronary angiographyPrescription claimsObstructive coronary artery diseaseIndex coronary angiographyBeta-blocker therapyBeta-blocker useHeart failure hospitalizationElective coronary angiographyNew-user designMyocardial infarction hospitalizationsCause deathCardiovascular outcomesCause mortalityFailure hospitalizationCardioprotective benefitsArtery diseasePrimary outcomeIschemic heartUse of Wearable Devices in Individuals With or at Risk for Cardiovascular Disease in the US, 2019 to 2020
Dhingra L, Aminorroaya A, Oikonomou E, Nargesi A, Wilson F, Krumholz H, Khera R. Use of Wearable Devices in Individuals With or at Risk for Cardiovascular Disease in the US, 2019 to 2020. JAMA Network Open 2023, 6: e2316634. PMID: 37285157, PMCID: PMC10248745, DOI: 10.1001/jamanetworkopen.2023.16634.Peer-Reviewed Original ResearchConceptsHealth Information National Trends SurveyUS adultsExacerbate disparitiesWearable device usersCardiovascular diseaseCardiovascular healthPopulation-based cross-sectional studySelf-reported cardiovascular diseaseCardiovascular disease risk factorsNational Trends SurveyOverall US adult populationCardiovascular risk factor profileSelf-reported accessAssociated with lower useUse of wearable devicesImprove cardiovascular healthLower household incomeLower educational attainmentUS adult populationRisk factor profileNationally representative sampleCross-sectional studyProportion of adultsTrends SurveyWearable device dataExcess 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