2023
Patterns of Digoxin Prescribing for Medicare Beneficiaries in the United States 2013-2019
See C, Wheelock K, Caraballo C, Khera R, Annapureddy A, Mahajan S, Lu Y, Krumholz H, Murugiah K. Patterns of Digoxin Prescribing for Medicare Beneficiaries in the United States 2013-2019. American Journal Of Medicine Open 2023, 10: 100048. PMID: 38213879, PMCID: PMC10783702, DOI: 10.1016/j.ajmo.2023.100048.Peer-Reviewed Original ResearchDigoxin prescriptionDigoxin useNew heart failure therapiesGeneral medicine physiciansHeart failure therapyMedicare Part D dataPart D dataDigoxin prescribingFailure therapyPrescriber characteristicsMedicine physiciansMedicare beneficiariesPrescribersLikely maleLogistic regressionDigoxinNew prescribersPrescriptionRecent dataCardiologySex Difference in Outcomes of Acute Myocardial Infarction in Young Patients
Sawano M, Lu Y, Caraballo C, Mahajan S, Dreyer R, Lichtman J, D'Onofrio G, Spatz E, Khera R, Onuma O, Murugiah K, Spertus J, Krumholz H. Sex Difference in Outcomes of Acute Myocardial Infarction in Young Patients. Journal Of The American College Of Cardiology 2023, 81: 1797-1806. PMID: 37137590, DOI: 10.1016/j.jacc.2023.03.383.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionNoncardiac hospitalizationsSubdistribution HRYounger patientsMyocardial infarctionSex differencesYoung womenCause-specific hospitalizationsCause of hospitalizationWorse health statusSignificant sex disparityNoncardiovascular hospitalizationsVIRGO StudyIndex episodeAdverse outcomesIncidence rateHospitalizationHigh riskSex disparitiesHealth statusPatientsU.S. hospitalsWomenInfarctionOutcomesDeveloping Validated Tools to Identify Pulmonary Embolism in Electronic Databases: Rationale and Design of the PE-EHR+ Study
Bikdeli B, Lo Y, Khairani C, Bejjani A, Jimenez D, Barco S, Mahajan S, Caraballo C, Secemsky E, Klok F, Hunsaker A, Aghayev A, Muriel A, Wang Y, Hussain M, Appah-Sampong A, Lu Y, Lin Z, Aneja S, Khera R, Goldhaber S, Zhou L, Monreal M, Krumholz H, Piazza G. Developing Validated Tools to Identify Pulmonary Embolism in Electronic Databases: Rationale and Design of the PE-EHR+ Study. Thrombosis And Haemostasis 2023, 123: 649-662. PMID: 36809777, PMCID: PMC11200175, DOI: 10.1055/a-2039-3222.Peer-Reviewed Original ResearchConceptsElectronic health recordsNLP algorithmNatural language processing toolsLanguage processing toolsPrincipal discharge diagnosisICD-10 codesDischarge diagnosisNLP toolsChart reviewHealth systemProcessing toolsYale New Haven Health SystemPatient identificationElectronic databasesHealth recordsData validationHigh-risk PEPulmonary Embolism ResearchSecondary discharge diagnosisIdentification of patientsManual chart reviewNegative predictive valueCodeRadiology reportsAlgorithmQuantifying Blood Pressure Visit-to-Visit Variability in the Real-World Setting: A Retrospective Cohort Study
Lu Y, Linderman G, Mahajan S, Liu Y, Huang C, Khera R, Mortazavi B, Spatz E, Krumholz H. Quantifying Blood Pressure Visit-to-Visit Variability in the Real-World Setting: A Retrospective Cohort Study. Circulation Cardiovascular Quality And Outcomes 2023, 16: e009258. PMID: 36883456, DOI: 10.1161/circoutcomes.122.009258.Peer-Reviewed Original ResearchConceptsRetrospective cohort studyBlood pressure valuesPatient characteristicsReal-world settingCohort studyPatient subgroupsYale New Haven Health SystemMean body mass indexSystolic blood pressure valuesBlood pressure visitHistory of hypertensionCoronary artery diseaseManagement of patientsMultivariable linear regression modelsBlood pressure readingsBody mass indexPatient-level measuresBlood pressure variationAbsolute standardized differencesNon-Hispanic whitesAntihypertensive medicationsReal-world practiceVisit variabilityArtery diseaseRegression modelsTiming of Blood Draws Among Patients Hospitalized in a Large Academic Medical Center
Caraballo C, Mahajan S, Murugiah K, Mortazavi B, Lu Y, Khera R, Krumholz H. Timing of Blood Draws Among Patients Hospitalized in a Large Academic Medical Center. JAMA 2023, 329: 255-257. PMID: 36648476, PMCID: PMC9856620, DOI: 10.1001/jama.2022.21509.Peer-Reviewed Original Research
2021
Scope and Social Determinants of Food Insecurity Among Adults With Atherosclerotic Cardiovascular Disease in the United States
Mahajan S, Grandhi GR, Valero‐Elizondo J, Mszar R, Khera R, Acquah I, Yahya T, Virani SS, Blankstein R, Blaha MJ, Cainzos‐Achirica M, Nasir K. Scope and Social Determinants of Food Insecurity Among Adults With Atherosclerotic Cardiovascular Disease in the United States. Journal Of The American Heart Association 2021, 10: e020028. PMID: 34387089, PMCID: PMC8475063, DOI: 10.1161/jaha.120.020028.Peer-Reviewed Original ResearchConceptsHigh-risk characteristicsUS adultsNational Health Interview Survey dataHealth Interview Survey dataAtherosclerotic cardiovascular diseaseCoronary heart diseaseSelf-reported diagnosisNon-Hispanic blacksInterview Survey dataFood Security Survey ModuleCardiovascular disease resultsLow family incomeAdult Food Security Survey ModuleFood insecurityHeart diseaseASCVDCardiovascular diseasePocket healthcare expenditureHigher oddsSociodemographic determinantsDisease resultsStudy participantsSocial determinantsHealthcare expendituresSociodemographic subgroups
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 determinantsBurden 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
2019
Variation and Disparities in Awareness of Myocardial Infarction Symptoms Among Adults in the United States
Mahajan S, Valero-Elizondo J, Khera R, Desai NR, Blankstein R, Blaha MJ, Virani SS, Kash BA, Zoghbi WA, Krumholz HM, Nasir K. Variation and Disparities in Awareness of Myocardial Infarction Symptoms Among Adults in the United States. JAMA Network Open 2019, 2: e1917885. PMID: 31851350, PMCID: PMC6991230, DOI: 10.1001/jamanetworkopen.2019.17885.Peer-Reviewed Original ResearchConceptsMyocardial infarction symptomsShortness of breathMyocardial infarctionInfarction symptomsLow education levelEmergency medical servicesChest painSociodemographic subgroupsNational Health Interview SurveyEmergency cardiac careCross-sectional studyMedical servicesHealth Interview SurveyPublic health initiativesEducation levelLow-income subgroupsPrompt recognitionBack painCommon symptomsMale sexCardiac careHigher oddsHispanic ethnicityMAIN OUTCOMEHigh riskHemodynamic Phenotypes of Hypertension Based on Cardiac Output and Systemic Vascular Resistance
Mahajan S, Gu J, Lu Y, Khera R, Spatz ES, Zhang M, Sun N, Zheng X, Zhao H, Lu H, Ma ZJ, Krumholz HM. Hemodynamic Phenotypes of Hypertension Based on Cardiac Output and Systemic Vascular Resistance. The American Journal Of Medicine 2019, 133: e127-e139. PMID: 31525336, DOI: 10.1016/j.amjmed.2019.08.042.Peer-Reviewed Original ResearchConceptsSystemic vascular resistance indexVascular resistance indexSystemic vascular resistanceCardiac indexBlood pressure categoriesResistance index ratioResistance indexVascular resistanceCardiac outputBlood pressureHemodynamic phenotypesPressure categoriesHigh systemic vascular resistance indexNormal systemic vascular resistance indexSystolic blood pressure 140Systolic blood pressure categoriesBlood pressure 140Health checkup centerNormal cardiac indexLow cardiac indexStroke volume indexHigher cardiac indexSystolic blood pressureBody mass indexSubtypes of hypertension