2025
Transforming Population Health Screening for Atherosclerotic Cardiovascular Disease with AI-Enhanced ECG Analytics: Opportunities and Challenges
Biswas D, Aminorroaya A, Croon P, Batinica B, Pedroso A, Khera R. Transforming Population Health Screening for Atherosclerotic Cardiovascular Disease with AI-Enhanced ECG Analytics: Opportunities and Challenges. Current Atherosclerosis Reports 2025, 27: 86. PMID: 40888973, DOI: 10.1007/s11883-025-01337-4.Peer-Reviewed Original ResearchConceptsAtherosclerotic cardiovascular diseasePopulation health screeningPopulation-level screeningCardiovascular diseaseLow riskHealth screeningStandard risk factorsHospital-basedCardiovascular healthSubclinical coronary artery diseaseWorkflow integrationSingle-lead ECGPersonalized interventionsPatient outcomesDiverse populationsTraditional risk modelsECG interpretationRisk factorsAscertainment biasImplementation challengesAdverse cardiovascular eventsProspective studyLogistical challengesRe-classifying patientsCoronary artery diseaseChanges in Cardiovascular Risk Factors and Health Care Expenditures Among Patients Prescribed Semaglutide
Lu Y, Liu Y, Totojani T, Kim C, Khera R, Xu H, Brush J, Krumholz H, Abaluck J. Changes in Cardiovascular Risk Factors and Health Care Expenditures Among Patients Prescribed Semaglutide. JAMA Network Open 2025, 8: e2526013. PMID: 40779264, PMCID: PMC12334959, DOI: 10.1001/jamanetworkopen.2025.26013.Peer-Reviewed Original ResearchConceptsHealth care expendituresCardiovascular risk factorsCare expendituresCohort studyRisk factorsYale New Haven Health SystemCohort study of adultsType 2 diabetes statusLong-term impactStudy of adultsHealth systemRetrospective cohort studyBlood pressureHemoglobin A1c reductionMain OutcomesTotal cholesterolSentara HealthcareInpatient staySecondary outcomesGlucagon-like peptide-1 receptor agonistsPrimary outcomeHealthPeptide-1 receptor agonistsAssociated with clinical outcomesAssociated with reductionsTowards a dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention
Hurley N, Desai N, Dhruva S, Khera R, Schulz W, Huang C, Curtis J, Masoudi F, Rumsfeld J, Negahban S, Krumholz H, Mortazavi B. Towards a dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention. PLOS Digital Health 2025, 4: e0000906. PMID: 40560847, PMCID: PMC12193038, DOI: 10.1371/journal.pdig.0000906.Peer-Reviewed Original ResearchNational Cardiovascular Data RegistryPercutaneous coronary interventionPrescription of medicationsRisk predictionArea under the receiver operating characteristic curveRisk prediction modelTreatment decision makingIndividualized carePatient dischargeData registryRisk estimatesRisk modelPrimary outcomeIndex admissionRisk informationModerate riskCoronary interventionPercutaneous coronary intervention proceduresRisk factorsPatient characteristicsIn-hospital bleeding eventsHigh riskLow riskMedical historyRegistryArtificial Intelligence in the Management of Heart Failure
Cheema B, Hourmozdi J, Kline A, Ahmad F, Khera R. Artificial Intelligence in the Management of Heart Failure. Journal Of Cardiac Failure 2025 PMID: 40345521, DOI: 10.1016/j.cardfail.2025.02.020.Peer-Reviewed Original ResearchArtificial intelligenceState-of-the-art algorithmsData privacy concernsState-of-the-artManagement of heart failureAI-based toolsElectronic health recordsAI solutionsMultimodal dataHeart failureHealth recordsIntegration challengesHeart failure syndromeStructural heart diseaseHeart failure treatmentIntelligenceImplementation challengesModel performanceModel governanceAdvanced diseaseFailure syndromeCardiomyopathy diagnosisFailure treatmentRisk factorsHeart diseaseEffects of Tirzepatide in Type 2 Diabetes Individual Variation and Relationship to Cardiometabolic Outcomes
Aminorroaya A, Oikonomou E, Biswas D, Jastreboff A, Khera R. Effects of Tirzepatide in Type 2 Diabetes Individual Variation and Relationship to Cardiometabolic Outcomes. Journal Of The American College Of Cardiology 2025, 85: 1858-1872. PMID: 40368575, PMCID: PMC12186526, DOI: 10.1016/j.jacc.2025.03.516.Peer-Reviewed Original ResearchConceptsElevated body mass indexCardiometabolic abnormalitiesBody mass indexOdds of elevated body mass indexType 2 diabetesIndividual Participant Data Meta-AnalysisMass indexParticipant data meta-analysisOdds of MetSCardiometabolic risk factorsComponents of metabolic syndromeData Meta-AnalysisHigh-density lipoprotein cholesterolCardiometabolic healthStudy design differencesMixed-effects modelsBaseline usePhase 3 randomized clinical trialSodium-glucose cotransporter 2 inhibitorsOddsStudy outcomesEffects of tirzepatideMeta-analysisRisk factorsClinical subpopulations
2023
Use of Smart Devices to Track Cardiovascular Health Goals in the United States
Aminorroaya A, Dhingra L, Nargesi A, Oikonomou E, Krumholz H, Khera R. Use of Smart Devices to Track Cardiovascular Health Goals in the United States. JACC Advances 2023, 2: 100544. PMID: 38094515, PMCID: PMC10718569, DOI: 10.1016/j.jacadv.2023.100544.Peer-Reviewed Original ResearchHealth goalsRisk of cardiovascular diseaseCardiovascular risk factorsNationally representative Health Information National Trends SurveyHealth Information National Trends SurveyU.S. adultsCardiovascular diseaseNational Trends SurveyRisk factors of hypertensionDigital health interventionsCardiovascular health goalsHealth-related goalsRisk of CVDFactors of hypertensionU.S. adult populationCardiovascular risk managementHigher educational attainmentLow-income individualsSmart devicesTrends SurveyImprove careHealth interventionsNational estimatesRisk factorsSurvey participantsLifetime healthcare expenses across demographic and cardiovascular risk groups: The application of a novel modeling strategy in a large multiethnic cohort study
Khera R, Kondamudi N, Liu M, Ayers C, Spatz E, Rao S, Essien U, Powell-Wiley T, Nasir K, Das S, Capers Q, Pandey A. Lifetime healthcare expenses across demographic and cardiovascular risk groups: The application of a novel modeling strategy in a large multiethnic cohort study. American Journal Of Preventive Cardiology 2023, 14: 100493. PMID: 37397263, PMCID: PMC10314135, DOI: 10.1016/j.ajpc.2023.100493.Peer-Reviewed Original ResearchOverweight/obesityRisk factorsRace/ethnicityHealthcare expensesCardiovascular risk factorsCardiovascular risk groupsNon-black individualsMultiethnic Cohort StudySignificant independent associationYears of ageBlack individualsDallas Heart StudyCohort studyCohort enrollmentOutpatient claimsIndependent associationRisk groupsHigh prevalenceHeart StudyOlder ageHealthcare spendingHypertensionObesitySmokingDiabetes
2022
Sex-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 controlsDepression and Perceived Stress After Spontaneous Coronary Artery Dissection and Comparison With Other Acute Myocardial Infarction (the VIRGO Experience)
Murugiah K, Chen L, Dreyer RP, Bouras G, Safdar B, Lu Y, Spatz ES, Gupta A, Khera R, Ng VG, Bueno H, Tweet MS, Spertus JA, Hayes SN, Lansky A, Krumholz HM. Depression and Perceived Stress After Spontaneous Coronary Artery Dissection and Comparison With Other Acute Myocardial Infarction (the VIRGO Experience). The American Journal Of Cardiology 2022, 173: 33-38. PMID: 35365290, PMCID: PMC9133198, DOI: 10.1016/j.amjcard.2022.03.005.Peer-Reviewed Original ResearchConceptsSpontaneous coronary artery dissectionPatient Health Questionnaire-9Coronary artery dissectionPSS-14 scoreArtery dissectionBaseline PHQ-9 scoreAcute myocardial infarction patientsCardiovascular risk factorsPHQ-9 scoresAcute myocardial infarctionMyocardial infarction patientsYears of agePerceived Stress Scale scoresStress Scale scoresLinear mixed-effects analysisSCAD casesVIRGO StudyQuestionnaire-9Infarction patientsMixed-effects analysisMyocardial infarctionSubgroup analysisRisk factorsRoutine screeningClinical acuity
2021
Nonalcoholic Fatty Liver Disease and Risk of Heart Failure Among Medicare Beneficiaries
Fudim M, Zhong L, Patel KV, Khera R, Abdelmalek MF, Diehl AM, McGarrah RW, Molinger J, Moylan CA, Rao VN, Wegermann K, Neeland IJ, Halm EA, Das SR, Pandey A. Nonalcoholic Fatty Liver Disease and Risk of Heart Failure Among Medicare Beneficiaries. Journal Of The American Heart Association 2021, 10: e021654. PMID: 34755544, PMCID: PMC8751938, DOI: 10.1161/jaha.121.021654.Peer-Reviewed Original ResearchConceptsNonalcoholic fatty liver diseaseIncident heart failureReduced ejection fractionFatty liver diseaseHeart failureEjection fractionMedicare beneficiariesHF subtypesLiver diseaseHigh riskBackground Nonalcoholic fatty liver diseaseBaseline NAFLDAssociation of NAFLDNew-onset heart failureConclusions PatientsCohort studyPrior diagnosisBlack patientsNinth RevisionKidney diseaseOutpatient claimsRisk factorsIndependent associationHigh burdenMedicare patientsSparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data
Huo Z, Zhang L, Khera R, Huang S, Qian X, Wang Z, Mortazavi B. Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data. 2021, 00: 1-4. DOI: 10.1109/bhi50953.2021.9508549.Peer-Reviewed Original Research
2020
Temporal Trends in Heart Failure Incidence Among Medicare Beneficiaries Across Risk Factor Strata, 2011 to 2016
Khera R, Kondamudi N, Zhong L, Vaduganathan M, Parker J, Das SR, Grodin JL, Halm EA, Berry JD, Pandey A. Temporal Trends in Heart Failure Incidence Among Medicare Beneficiaries Across Risk Factor Strata, 2011 to 2016. JAMA Network Open 2020, 3: e2022190. PMID: 33095250, PMCID: PMC7584929, DOI: 10.1001/jamanetworkopen.2020.22190.Peer-Reviewed Original ResearchConceptsHeart failure incidenceHF risk factorsHF incidenceClinical Modification codesRisk factorsAcute MIMedicare beneficiariesFailure incidenceHF prevention strategiesRisk factor strataNational cohort studyService Medicare beneficiariesUnique Medicare beneficiariesInternational Statistical ClassificationRace/ethnicityPrior HFPrevalent hypertensionCohort studyIncident HFNinth RevisionPrevious diagnosisCardiovascular conditionsTenth RevisionMAIN OUTCOMEInternational ClassificationThe Upcoming Epidemic of Heart Failure in South Asia
Martinez-Amezcua P, Haque W, Khera R, Kanaya AM, Sattar N, Lam CSP, Harikrishnan S, Shah SJ, Kandula NR, Jose PO, Narayan KMV, Agyemang C, Misra A, Jenum AK, Bilal U, Nasir K, Cainzos-Achirica M. The Upcoming Epidemic of Heart Failure in South Asia. Circulation Heart Failure 2020, 13: e007218. PMID: 32962410, DOI: 10.1161/circheartfailure.120.007218.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsType 2 diabetes mellitusHeart failureCoronary heart diseaseHeart diseaseHF epidemicDiabetes mellitusEarly type 2 diabetes mellitusLifestyle-related risk factorsPrognosis of HFPremature coronary heart diseasePremature heart failurePrevalent heart failureRheumatic heart diseaseSouth AsiansAbdominal obesityGeneral obesitySouth Asian populationRisk factorsDramatic healthGlobal burdenRecent studiesUrgent interventionUnderrecognized threatTobacco productsUpcoming epidemicFinancial Hardship After Traumatic Injury: Risk Factors and Drivers of Out-of-Pocket Health Expenses
O'Neill KM, Jean RA, Gross CP, Becher RD, Khera R, Elizondo JV, Nasir K. Financial Hardship After Traumatic Injury: Risk Factors and Drivers of Out-of-Pocket Health Expenses. Journal Of Surgical Research 2020, 256: 1-12. PMID: 32663705, DOI: 10.1016/j.jss.2020.05.095.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedChildChild, PreschoolCost of IllnessCross-Sectional StudiesFamilyFemaleFinancial StressHealth ExpendituresHospitalizationHumansInfantInfant, NewbornInsurance, HealthMaleMiddle AgedPrescription DrugsRetrospective StudiesRisk FactorsSocioeconomic FactorsUnited StatesWounds and InjuriesYoung AdultConceptsTraumatic injuryOOP expensesPocket health expensesExcess financial burdenHealth expensesInpatient costsCatastrophic medical expensesFinancial burdenMultivariable logistic regression analysisMedical expensesHealth care factorsCostly medical conditionsCross-sectional studyMedical Expenditure Panel SurveyLogistic regression analysisPrescription drug costsFinancial hardshipHealth care systemFamily membersTrauma-related disordersPrimary outcomeCare factorsEmergency roomRisk factorsDrug costsAssociation of cardiovascular risk factor profile and financial hardship from medical bills among non-elderly adults in the United States
Grandhi GR, Valero-Elizondo J, Mszar R, Brandt EJ, Annapureddy A, Khera R, Saxena A, Virani SS, Blankstein R, Desai NR, Blaha MJ, Cheema FH, Vahidy FS, Nasir K. Association of cardiovascular risk factor profile and financial hardship from medical bills among non-elderly adults in the United States. American Journal Of Preventive Cardiology 2020, 2: 100034. PMID: 34327457, PMCID: PMC8315456, DOI: 10.1016/j.ajpc.2020.100034.Peer-Reviewed Original ResearchAtherosclerotic cardiovascular diseaseCardiovascular risk factor profileCost-related barriersRisk factor profileNon-elderly adultsCRF profileLow prevalenceMedical billsFactor profileNational Health Interview SurveyHealth Interview SurveyLack of insuranceFinancial hardshipLogistic regression modelsLow incomeASCVD statusRisk factorsCardiovascular diseaseStudy populationLower oddsLower mortalityUninsured individualsLow burdenHealthcare expendituresPrevalence
2019
Education level and outcomes after acute myocardial infarction in China
Huo X, Khera R, Zhang L, Herrin J, Bai X, Wang Q, Lu Y, Nasir K, Hu S, Li J, Li X, Zheng X, Masoudi FA, Spertus JA, Krumholz HM, Jiang L. Education level and outcomes after acute myocardial infarction in China. Heart 2019, 105: heartjnl-2018-313752. PMID: 30661037, PMCID: PMC6582708, DOI: 10.1136/heartjnl-2018-313752.Peer-Reviewed Original ResearchConceptsMajor adverse cardiovascular eventsLow educational attainmentAcute myocardial infarction (AMI) outcomesAdverse cardiovascular eventsFuture healthcare interventionsMyocardial infarction outcomesCardiovascular risk factorsRisk-adjusted analysisAcute myocardial infarctionMedian participant ageCardiovascular eventsCause mortalityAdverse eventsConsecutive patientsAMI outcomesChina PatientUnadjusted analysesMyocardial infarctionRisk factorsChinese cohortHigh riskEducational attainmentEducational attainment groupsHealthcare interventionsPatients
2017
Persistent socioeconomic disparities in cardiovascular risk factors and health in the United States: Medical Expenditure Panel Survey 2002–2013
Valero-Elizondo J, Hong JC, Spatz ES, Salami JA, Desai NR, Rana JS, Khera R, Virani SS, Blankstein R, Blaha MJ, Nasir K. Persistent socioeconomic disparities in cardiovascular risk factors and health in the United States: Medical Expenditure Panel Survey 2002–2013. Atherosclerosis 2017, 269: 301-305. PMID: 29254694, DOI: 10.1016/j.atherosclerosis.2017.12.014.Peer-Reviewed Original ResearchConceptsCardiovascular diseaseSocioeconomic statusWorse cardiovascular risk factor profileCardiovascular risk factor profileHighest prevalence increasePrevalence of CRFCardiovascular risk factorsRisk factor profileHealthy lifestyle behaviorsMedical Expenditure Panel Survey 2002Medical Expenditure Panel SurveyHealth disparity gapRelative percent increasePhysical inactivityLifestyle behaviorsRisk factorsPrevalence increasesHigh burdenHigh prevalenceLow-income groupsProportion of individualsUS adultsFactor profileDisparity gapSocioeconomic disparities
2015
Trends in hospitalization for takotsubo cardiomyopathy in the United States
Khera R, Light-McGroary K, Zahr F, Horwitz PA, Girotra S. Trends in hospitalization for takotsubo cardiomyopathy in the United States. American Heart Journal 2015, 172: 53-63. PMID: 26856216, PMCID: PMC4748175, DOI: 10.1016/j.ahj.2015.10.022.Peer-Reviewed Original ResearchConceptsTakotsubo cardiomyopathyPrimary diagnosis groupCardiac arrestDiagnosis groupsHigh incidenceCardiogenic shockRespiratory failurePsychiatric disordersTransient left ventricular systolic dysfunctionLeft ventricular systolic dysfunctionNational Inpatient Sample dataCardiovascular risk factorsDiagnostic coronary angiographyVentricular systolic dysfunctionSecondary discharge diagnosisRisk of mortalityCost of careHospital mortalitySystolic dysfunctionCritical illnessCoronary angiographyDischarge diagnosisRisk factorsExcess mortalitySecondary groupPacemaker Dependency after Cardiac Surgery: A Systematic Review of Current Evidence
Steyers CM, Khera R, Bhave P. Pacemaker Dependency after Cardiac Surgery: A Systematic Review of Current Evidence. PLOS ONE 2015, 10: e0140340. PMID: 26470027, PMCID: PMC4607414, DOI: 10.1371/journal.pone.0140340.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsPermanent pacemaker implantationPacemaker dependencyCardiac surgeryPacemaker implantationRisk factorsSystematic reviewAV conduction diseasePerioperative risk factorsPostoperative conduction disturbancesProcedure-specific variablesWeb of ScienceConduction disturbancesEmbase databasesConduction diseaseAV conductionExclusion criteriaCurrent evidencePredetermined inclusionSurgeryPatientsComprehensive searchSignificant heterogeneityIndividual studiesUniform definitionImplantation
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