2023
National Trends in Racial and Ethnic Disparities in Use of Recommended Therapies in Adults with Atherosclerotic Cardiovascular Disease, 1999-2020
Lu Y, Liu Y, Dhingra L, Caraballo C, Mahajan S, Massey D, Spatz E, Sharma R, Rodriguez F, Watson K, Masoudi F, Krumholz H. National Trends in Racial and Ethnic Disparities in Use of Recommended Therapies in Adults with Atherosclerotic Cardiovascular Disease, 1999-2020. JAMA Network Open 2023, 6: e2345964. PMID: 38039001, PMCID: PMC10692850, DOI: 10.1001/jamanetworkopen.2023.45964.Peer-Reviewed Original ResearchConceptsAtherosclerotic cardiovascular diseaseHistory of ASCVDCross-sectional studyLifestyle modificationPharmacological medicationsOptimal careCurrent careUS adultsEthnic differencesWhite individualsGuideline-recommended therapiesTotal cholesterol controlNon-Hispanic white individualsNutrition Examination SurveyLatino individualsQuality of careSelf-reported raceStatin useRecommended TherapiesSecondary preventionCholesterol controlOptimal regimensSmoking cessationEligible participantsExamination SurveyUncovering 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 ResearchMeSH KeywordsAdultAlcohol DrinkingCardiovascular DiseasesHumansMaleMiddle AgedNutrition SurveysPrediabetic StateRisk FactorsConceptsCardiometabolic 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 riskNonexercise 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 Research
2022
Racial and Ethnic Disparities in Financial Barriers Among Overweight and Obese Adults Eligible for Semaglutide in the United States
Lu Y, Liu Y, Krumholz HM. Racial and Ethnic Disparities in Financial Barriers Among Overweight and Obese Adults Eligible for Semaglutide in the United States. Journal Of The American Heart Association 2022, 11: e025545. PMID: 36172953, PMCID: PMC9673703, DOI: 10.1161/jaha.121.025545.Peer-Reviewed Original ResearchMeSH KeywordsAdultBlack or African AmericanCross-Sectional StudiesEthnicityGlucagon-Like PeptidesHumansNutrition SurveysObesityOverweightUnited StatesConceptsLow family incomeEligible populationUsual sourceHispanic adultsFinancial barriersEthnic disparitiesNutrition Examination Survey 2015Drug Administration labelingCross-sectional analysisFamily incomePercentage of adultsObese adultsNational HealthUS adultsSemaglutideEligibility criteriaSocial determinantsBlack adultsLarge proportionFinal analysisWeight lossHispanic individualsWhite individualsAdultsRisk reductionSex-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 controls
2016
Sick Populations and Sick Subpopulations
Lu Y, Ezzati M, Rimm EB, Hajifathalian K, Ueda P, Danaei G. Sick Populations and Sick Subpopulations. Circulation 2016, 134: 472-485. PMID: 27324491, PMCID: PMC5001154, DOI: 10.1161/circulationaha.115.018102.Peer-Reviewed Original ResearchConceptsMultiple risk factorsCVD death ratesHigh-risk individualsRisk factorsNonfatal CVDCVD riskCVD deathFatal CVDDeath rateRisk-based interventionsWhite menCVD ratesNutrition Examination Survey 1999Cardiovascular disease death ratesWhite womenRacial disparitiesRisk of CVDExamination Survey 1999Black-white differencesDisease death ratesYears of ageBlack womenBlack menSick populationNational Health