2024
Long-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 measurementsCause-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 ResearchBarriers 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 outcomesHypertension 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
Uncovering heterogeneous cardiometabolic risk profiles in US adults: the role of social and behavioral determinants of health
Ding Q, Lu Y, Herrin J, Zhang T, Marrero D. Uncovering heterogeneous cardiometabolic risk profiles in US adults: the role of social and behavioral determinants of health. BMJ Open Diabetes Research & Care 2023, 11: e003558. PMID: 37699720, PMCID: PMC10503393, DOI: 10.1136/bmjdrc-2023-003558.Peer-Reviewed Original ResearchConceptsCardiometabolic risk profileMetabolic risk factorsRace/ethnicityUndiagnosed diabetesUS adultsRisk factorsHealthcare accessNutrition Examination Survey 1999Risk profilePre-diabetes riskPrior diabetes diagnosisExamination Survey 1999Insurance coverageShort sleep durationLower diet qualityEffective prevention strategiesLimited healthcare accessBehavioral determinantsNon-white adultsMiddle-aged adultsHealth insurance coverageLow health insurance coverageCardiometabolic riskDiabetes statusDiabetes riskImpact 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 participantsOutcomesExcess 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 malesSex 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. hospitalsWomenInfarctionOutcomesSex Differences in Symptom Complexity and Door-to-Balloon Time in Patients With ST-Elevation Myocardial Infarction
Brush J, Chaudhry S, Dreyer R, D'Onofrio G, Greene E, Hajduk A, Lu Y, Krumholz H. Sex Differences in Symptom Complexity and Door-to-Balloon Time in Patients With ST-Elevation Myocardial Infarction. The American Journal Of Cardiology 2023, 197: 101-107. PMID: 37062667, PMCID: PMC10198892, DOI: 10.1016/j.amjcard.2023.03.009.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionD2B timeSymptom complexityYoung womenChest painBalloon timeST-elevation myocardial infarctionSILVER-AMI StudySymptom phenotypeSex differencesPain symptomsCoronary interventionOlder patientsMyocardial infarctionOlder womenSTEMIOlder menSymptom patternsPresentation delayPatientsSymptom clustersLogistic regressionSymptomsWomenMean numberNonexercise machine learning models for maximal oxygen uptake prediction in national population surveys.
Liu Y, Herrin J, Huang C, Khera R, Dhingra L, Dong W, Mortazavi B, Krumholz H, Lu Y. Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys. Journal Of The American Medical Informatics Association 2023, 30: 943-952. PMID: 36905605, PMCID: PMC10114129, DOI: 10.1093/jamia/ocad035.Peer-Reviewed Original ResearchQuantifying Blood Pressure Visit-to-Visit Variability in the Real-World Setting: A Retrospective Cohort Study
Lu Y, Linderman G, Mahajan S, Liu Y, Huang C, Khera R, Mortazavi B, Spatz E, Krumholz H. Quantifying Blood Pressure Visit-to-Visit Variability in the Real-World Setting: A Retrospective Cohort Study. Circulation Cardiovascular Quality And Outcomes 2023, 16: e009258. PMID: 36883456, DOI: 10.1161/circoutcomes.122.009258.Peer-Reviewed Original ResearchConceptsRetrospective cohort studyBlood pressure valuesPatient characteristicsReal-world settingCohort studyPatient subgroupsYale New Haven Health SystemMean body mass indexSystolic blood pressure valuesBlood pressure visitHistory of hypertensionCoronary artery diseaseManagement of patientsMultivariable linear regression modelsBlood pressure readingsBody mass indexPatient-level measuresBlood pressure variationAbsolute standardized differencesNon-Hispanic whitesAntihypertensive medicationsReal-world practiceVisit variabilityArtery diseaseRegression modelsSex-Related Differences in Patient Characteristics, Risk Factors, and Symptomatology in Older Adults with Pulmonary Embolism: Findings from the SERIOUS-PE Study
Bikdeli B, Muriel A, Wang Y, Piazza G, Khairani C, Rosovsky R, Mehdipoor G, O'Donoghue M, Madridano O, Lopez-Saez J, Mellado M, Brasero A, Grandone E, Spagnolo P, Lu Y, Bertoletti L, López-Jiménez L, Núñez M, Blanco-Molina Á, Gerhard-Herman M, Goldhaber S, Bates S, Jimenez D, Krumholz H, Monreal M. Sex-Related Differences in Patient Characteristics, Risk Factors, and Symptomatology in Older Adults with Pulmonary Embolism: Findings from the SERIOUS-PE Study. Seminars In Thrombosis And Hemostasis 2023, 49: 725-735. PMID: 36868268, DOI: 10.1055/s-0043-1764231.Peer-Reviewed Original ResearchConceptsOlder adultsClinical characteristicsRisk factorsElderly womenPE risk stratificationTransient provoking factorsRelevant clinical characteristicsSex differencesWarrants further investigationSex-related differencesSex-specific factorsClot burdenPE presentationChest painHormonal therapyHormone therapyPatient characteristicsPulmonary embolismYounger patientsAtherosclerotic diseaseRisk stratificationLung diseaseMedicare databaseProvoking factorsCardiovascular diseaseDeveloping an Actionable Taxonomy of Persistent Hypertension Using Electronic Health Records
Lu Y, Du C, Khidir H, Caraballo C, Mahajan S, Spatz E, Curry L, Krumholz H. Developing an Actionable Taxonomy of Persistent Hypertension Using Electronic Health Records. Circulation Cardiovascular Quality And Outcomes 2023, 16: e009453. PMID: 36727515, DOI: 10.1161/circoutcomes.122.009453.Peer-Reviewed Original ResearchConceptsPersistent hypertensionElectronic health recordsBlood pressureHealth recordsPharmacologic agentsPrescribed treatmentYale New Haven Health SystemTreatment planAdditional pharmacologic agentsAntihypertensive treatment intensificationConsecutive outpatient visitsElevated blood pressurePersistence of hypertensionElectronic health record dataHealth record dataEligible patientsTreatment intensificationChart reviewHispanic patientsOutpatient visitsMean agePharmacological treatmentConventional content analysisHypertensionClinician notes
2022
Trends 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 ResearchConceptsTimely 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 groupsHemodynamic differences between women and men with elevated blood pressure in China: A non-invasive assessment of 45,082 adults using impedance cardiography
Caraballo C, Mahajan S, Gu J, Lu Y, Spatz ES, Dreyer RP, Zhang M, Sun N, Ren Y, Zheng X, Zhao H, Lu H, J. Z, Krumholz HM. Hemodynamic differences between women and men with elevated blood pressure in China: A non-invasive assessment of 45,082 adults using impedance cardiography. PLOS ONE 2022, 17: e0269777. PMID: 35700163, PMCID: PMC9197037, DOI: 10.1371/journal.pone.0269777.Peer-Reviewed Original ResearchConceptsElevated blood pressureSystemic vascular resistance indexVascular resistance indexBlood pressureCardiac indexResistance indexHigh systemic vascular resistance indexLower systemic vascular resistance indexHigher mean systolic blood pressureMean diastolic blood pressureMean systolic blood pressureImpedance cardiographyLow cardiac indexHigher cardiac indexDiastolic blood pressureSystolic blood pressureBody mass indexYear old womanPersonalization of treatmentSame age groupNon-invasive assessmentSex differencesHemodynamic profileMass indexHemodynamic differencesSex Differences in Characteristics, Treatments, and Outcomes Among Patients Hospitalized for Non–ST-Segment–Elevation Myocardial Infarction in China: 2006 to 2015
Guo W, Du X, Gao Y, Hu S, Lu Y, Dreyer RP, Li X, Spatz ES, Masoudi FA, Krumholz HM, Zheng X. Sex Differences in Characteristics, Treatments, and Outcomes Among Patients Hospitalized for Non–ST-Segment–Elevation Myocardial Infarction in China: 2006 to 2015. Circulation Cardiovascular Quality And Outcomes 2022, 15: e008535. PMID: 35607994, PMCID: PMC9208815, DOI: 10.1161/circoutcomes.121.008535.Peer-Reviewed Original ResearchConceptsSegment elevation myocardial infarctionInvasive strategyMyocardial infarctionHospital mortalityHospital outcomesMultivariable logistic regression modelCardiovascular risk factorsElevation myocardial infarctionSex-related disparitiesQuality of careProportion of womenLogistic regression modelsSex differencesClinical characteristicsClinical profileRisk factorsClinical covariatesSex-specific differencesPatientsInfarctionST segmentSex gapChinese hospitalsMortalityWomenSex-Specific Risk Factors Associated With First Acute Myocardial Infarction in Young Adults
Lu Y, Li SX, Liu Y, Rodriguez F, Watson KE, Dreyer RP, Khera R, Murugiah K, D’Onofrio G, Spatz ES, Nasir K, Masoudi FA, Krumholz HM. Sex-Specific Risk Factors Associated With First Acute Myocardial Infarction in Young Adults. JAMA Network Open 2022, 5: e229953. PMID: 35503221, PMCID: PMC9066284, DOI: 10.1001/jamanetworkopen.2022.9953.Peer-Reviewed Original ResearchConceptsFirst acute myocardial infarctionAcute myocardial infarctionPsychosocial risk factorsRisk factor profilePopulation attributable fractionRisk factor associationsRisk factorsOdds ratioYoung womenAMI subtypesMyocardial infarctionPrevention of AMIType 1 acute myocardial infarctionFactor profileRisk of AMITraditional cardiovascular risk factorsSex-specific risk factorsFactor associationsYoung adultsRisk factor modificationCardiovascular risk factorsStrong associationNutrition Examination SurveyCase-control studyPopulation-based controlsEvaluation 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 disparities