2024
A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression
Oikonomou E, Holste G, Yuan N, Coppi A, McNamara R, Haynes N, Vora A, Velazquez E, Li F, Menon V, Kapadia S, Gill T, Nadkarni G, Krumholz H, Wang Z, Ouyang D, Khera R. A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression. JAMA Cardiology 2024, 9: 534-544. PMID: 38581644, PMCID: PMC10999005, DOI: 10.1001/jamacardio.2024.0595.Peer-Reviewed Original ResearchCardiac magnetic resonanceAortic valve replacementCardiac magnetic resonance imagingAV VmaxSevere ASAortic stenosisCohort studyPeak aortic valve velocityCohort study of patientsAortic valve velocityCohort of patientsTraditional cardiovascular risk factorsAssociated with faster progressionStudy of patientsCedars-Sinai Medical CenterAssociated with AS developmentCardiovascular risk factorsCardiovascular imaging modalitiesIndependent of ageModerate ASEjection fractionEchocardiographic studiesValve replacementRisk stratificationCardiac structure
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
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: 946. 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 group