2024
Digital Health Interventions for Hypertension Management in US Populations Experiencing Health Disparities
Katz M, Mszar R, Grimshaw A, Gunderson C, Onuma O, Lu Y, Spatz E. Digital Health Interventions for Hypertension Management in US Populations Experiencing Health Disparities. JAMA Network Open 2024, 7: e2356070. PMID: 38353950, PMCID: PMC10867699, DOI: 10.1001/jamanetworkopen.2023.56070.Peer-Reviewed Original ResearchConceptsDigital health interventionsHealth disparitiesHealth interventionsSystematic reviewSystolic BPSocial determinants of healthHypertension managementCommunity health workersFactors associated with cardiovascular diseaseDeterminants of healthLeveraging digital healthRemote BP monitoringDigital health technologiesStandard care groupMeta-analysisBlood pressureDiastolic BPPreferred Reporting ItemsControl groupSystolic BP changeBaseline to 6Random-effects modelSkilled nursingCultural tailoringSocial determinants
2022
Sex-based differences in atrial fibrillation ablation adverse events
Mszar R, Friedman D, Ong E, Du C, Wang Y, Zeitler E, Cunningham S, Akar J, Curtis J, Freeman J. Sex-based differences in atrial fibrillation ablation adverse events. Heart 2022, 109: 595-605. PMID: 36104219, DOI: 10.1136/heartjnl-2022-321192.Peer-Reviewed Original ResearchConceptsAcute pulmonary vein isolationAdverse eventsPulmonary vein isolationAtrial fibrillationHigh riskSex-based differencesVein isolationCatheter ablationFemale sexLarge prospective registryHospital adverse eventsMajor adverse eventsObservational cohort studyPhrenic nerve damageAF ablation proceduresQuality of lifeAblation RegistryMore comorbiditiesProspective registryAF ablationCohort studyPericardial effusionNerve damagePatient sexVascular injurySocial Determinants of Suboptimal Cardiovascular Health Among Pregnant Women in the United States
Sharma G, Grandhi GR, Acquah I, Mszar R, Mahajan S, Khan SU, Javed Z, Mehta LS, Gulati M, Cainzos‐Achirica M, Blumenthal RS, Nasir K. Social Determinants of Suboptimal Cardiovascular Health Among Pregnant Women in the United States. Journal Of The American Heart Association 2022, 11: e022837. PMID: 35014862, PMCID: PMC9238529, DOI: 10.1161/jaha.121.022837.Peer-Reviewed Original ResearchConceptsSuboptimal cardiovascular healthInsufficient physical activityPregnant womenCardiovascular healthAssociation of SDOHRisk factorsPhysical activitySocial determinantsNational Health Interview SurveyModifiable risk factorsPublic health urgencyHealth Interview SurveyDisadvantaged pregnant womenPoisson regression modelsMaternal morbidityRisk ratioFirst quartileSDOHInterview SurveyCross-sectional dataWomenQuartileRegression modelsHealthUnited States
2020
Racial/Ethnic Disparities in Screening for and Awareness of High Cholesterol Among Pregnant Women Receiving Prenatal Care
Mszar R, Gopal DJ, Chowdary R, Smith CL, Dolin CD, Irwin ML, Soffer D, Nemiroff R, Lewey J. Racial/Ethnic Disparities in Screening for and Awareness of High Cholesterol Among Pregnant Women Receiving Prenatal Care. Journal Of The American Heart Association 2020, 10: e017415. PMID: 33345544, PMCID: PMC7955491, DOI: 10.1161/jaha.120.017415.Peer-Reviewed Original ResearchConceptsAtherosclerotic cardiovascular disease risk factorsCardiovascular disease risk factorsNon-Hispanic black womenNon-Hispanic white womenDisease risk factorsPregnant womenObstetrician/gynecologistsPrenatal careLipid screeningRisk factorsHigh cholesterolYoung womenBackground Atherosclerotic cardiovascular diseaseTraditional cardiovascular risk factorsWhite womenCardiovascular risk factorsPreventive care servicesRacial/Ethnic DisparitiesAtherosclerotic cardiovascular diseaseRisk factor awarenessPrimary care physiciansEthnic disparities persistPennsylvania Health SystemBlack womenMaternal dyslipidemiaAssociation 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 determinantsSociodemographic Disparities in Influenza Vaccination Among Adults With Atherosclerotic Cardiovascular Disease in the United States
Grandhi GR, Mszar R, Vahidy F, Valero-Elizondo J, Blankstein R, Blaha MJ, Virani SS, Andrieni JD, Omer SB, Nasir K. Sociodemographic Disparities in Influenza Vaccination Among Adults With Atherosclerotic Cardiovascular Disease in the United States. JAMA Cardiology 2020, 6: 87-91. PMID: 32902562, PMCID: PMC7489417, DOI: 10.1001/jamacardio.2020.3978.Peer-Reviewed Original ResearchConceptsAtherosclerotic cardiovascular diseaseInfluenza vaccinationHigh-risk characteristicsRace/ethnicityASCVD statusSociodemographic disparitiesCardiovascular diseaseUS adultsUsual sourceNon-Hispanic black race/ethnicityBlack race/ethnicityMedical Expenditure Panel Survey dataNinth Revision diagnosisPeripheral artery diseaseAdults 40 yearsCoronary heart diseaseSeverity of infectionPublic health initiativesLow education levelCharacteristics of adultsEducation levelOverall morbidityArtery diseaseHospital readmissionRevision diagnosisCumulative 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