2023
Machine learning in precision diabetes care and cardiovascular risk prediction
Oikonomou E, Khera R. Machine learning in precision diabetes care and cardiovascular risk prediction. Cardiovascular Diabetology 2023, 22: 259. PMID: 37749579, PMCID: PMC10521578, DOI: 10.1186/s12933-023-01985-3.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsArtificial IntelligenceCardiovascular DiseasesDiabetes MellitusHeart Disease Risk FactorsHumansMachine LearningRisk FactorsConceptsArtificial intelligence solutionsArtificial intelligence productsData-driven methodIntelligence solutionsArtificial intelligenceMachine learningPersonalized solutionsIntelligence productsBias mitigationMachineKey issuesPredictive modelSuch modelsSuccessful applicationRisk predictionParadigm shiftIntelligenceKey propertiesApplicationsLearningPersonalized careFrameworkSolutionCurrent regulatory frameworkHealthcare
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 controlsCost-Related Medication Nonadherence in Adults With Diabetes in the United States: The National Health Interview Survey 2013-2018.
Taha MB, Valero-Elizondo J, Yahya T, Caraballo C, Khera R, Patel KV, Ali HJR, Sharma G, Mossialos E, Cainzos-Achirica M, Nasir K. Cost-Related Medication Nonadherence in Adults With Diabetes in the United States: The National Health Interview Survey 2013-2018. Diabetes Care 2022, 45: 594-603. PMID: 35015860, DOI: 10.2337/dc21-1757.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedComorbidityDiabetes MellitusFemaleHealth ExpendituresHumansMedication AdherenceSurveys and QuestionnairesUnited StatesConceptsCost-related medication nonadherenceNational Health Interview SurveyLack of insuranceMedication nonadherenceNational Health Interview Survey 2013Duration of diabetesHigher comorbidity burdenSelf-reported diabetesHealth Interview SurveyWorse health outcomesHealth-related expendituresComorbidity burdenInsulin useCurrent smokingLess medicationMedication adherenceFemale sexWeighted prevalenceHigher oddsAge subgroupsSkipping dosesDiabetesHealth outcomesElderly adultsNHIS participants
2020
Cumulative Burden of Financial Hardship From Medical Bills Across the Spectrum of Diabetes Mellitus and Atherosclerotic Cardiovascular Disease Among Non‐Elderly Adults in the United States
Mszar R, Grandhi GR, Valero‐Elizondo J, Caraballo C, Khera R, Desai N, Virani SS, Blankstein R, Blaha MJ, Nasir K. Cumulative Burden of Financial Hardship From Medical Bills Across the Spectrum of Diabetes Mellitus and Atherosclerotic Cardiovascular Disease Among Non‐Elderly Adults in the United States. Journal Of The American Heart Association 2020, 9: e015523. PMID: 32394783, PMCID: PMC7660844, DOI: 10.1161/jaha.119.015523.Peer-Reviewed Original ResearchConceptsAtherosclerotic cardiovascular diseaseDiabetes mellitusNon-elderly adultsMedical billsCardiovascular diseaseBackground Atherosclerotic cardiovascular diseaseNational Health Interview SurveyEffective public health policiesThird of deathsTreatment-related expensesHealth Interview SurveyHigher relative oddsLogistic regression analysisFinancial hardshipPublic health policyASCVD statusPatient populationStudy populationHigh riskRelative oddsWeighted populationCumulative burdenHealth policyInterview SurveyStrong associationBurden and Consequences of Financial Hardship From Medical Bills Among Nonelderly Adults With Diabetes Mellitus in the United States
Caraballo C, Valero-Elizondo J, Khera R, Mahajan S, Grandhi GR, Virani SS, Mszar R, Krumholz HM, Nasir K. Burden and Consequences of Financial Hardship From Medical Bills Among Nonelderly Adults With Diabetes Mellitus in the United States. Circulation Cardiovascular Quality And Outcomes 2020, 13: e006139. PMID: 32069093, DOI: 10.1161/circoutcomes.119.006139.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsBlack or African AmericanComorbidityCost of IllnessCross-Sectional StudiesDiabetes MellitusFemaleFinancing, PersonalFood SupplyHealth Care CostsHealth Care SurveysHealth ExpendituresHealth Services AccessibilityHumansIncomeMaleMedically UninsuredMiddle AgedPatient ComplianceRisk AssessmentRisk FactorsUnited StatesYoung AdultConceptsDiabetes mellitusMedical billsHigher oddsMedical careNational Health Interview Survey dataHealth Interview Survey dataCost-related medication nonadherenceHigher comorbidity burdenCost-related nonadherenceSelf-reported diagnosisNon-Hispanic blacksInterview Survey dataFinancial hardshipMedication nonadherenceMean ageNonmedical needsHigh prevalenceMellitusMultivariate analysisPocket expenditureFood insecurityNonadherenceHigh financial distressPatientsAdults
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