2021
A phenomapping-derived tool to personalize the selection of anatomical vs. functional testing in evaluating chest pain (ASSIST)
Oikonomou EK, Van Dijk D, Parise H, Suchard MA, de Lemos J, Antoniades C, Velazquez EJ, Miller EJ, Khera R. A phenomapping-derived tool to personalize the selection of anatomical vs. functional testing in evaluating chest pain (ASSIST). European Heart Journal 2021, 42: 2536-2548. PMID: 33881513, PMCID: PMC8488385, DOI: 10.1093/eurheartj/ehab223.Peer-Reviewed Original ResearchConceptsStable chest painChest painPrimary endpointMajor adverse cardiovascular eventsNon-fatal myocardial infarctionAdverse cardiovascular eventsStudy's primary endpointCoronary artery diseaseClinical trial populationsCox regression modelParticipant-level dataSCOT-HEARTCardiovascular eventsCause mortalityHazard ratioPatients 5Artery diseaseFunctional testingPROMISE trialTrial populationMyocardial infarctionLower incidenceStudy populationPainCollected variables
2020
Association Between Sociodemographic Determinants and Disparities in Stroke Symptom Awareness Among US Young Adults
Mszar R, Mahajan S, Valero-Elizondo J, Yahya T, Sharma R, Grandhi GR, Khera R, Virani SS, Lichtman J, Khan SU, Cainzos-Achirica M, Vahidy FS, Krumholz HM, Nasir K. Association Between Sociodemographic Determinants and Disparities in Stroke Symptom Awareness Among US Young Adults. Stroke 2020, 51: 3552-3561. PMID: 33100188, DOI: 10.1161/strokeaha.120.031137.Peer-Reviewed Original ResearchConceptsNational Health Interview SurveyCommon stroke symptomsStroke symptomsHealth Interview SurveyYoung adultsUS young adultsSymptom awarenessFocused public health interventionsInterview SurveyStroke symptom awarenessHigh-risk characteristicsPublic health interventionsArms/legsCertain sociodemographic subgroupsLow education levelStroke incidenceSevere headacheSingle symptomStudy populationTimely diagnosisHigher oddsStroke rateHispanic ethnicityGeneral populationSociodemographic determinantsAssociation 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 expendituresPrevalenceCumulative 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 association