2025
Access to Electrophysiologic Care for Medicare Beneficiaries Across the United States: Travel Distance and Time to Nearest Clinician, 2013-2020
Khaloo P, Wheelock K, Hanna J, Kapadia S, Pedroso A, Nabi W, Aminorroaya A, Freeman J, Khera R. Access to Electrophysiologic Care for Medicare Beneficiaries Across the United States: Travel Distance and Time to Nearest Clinician, 2013-2020. Heart Rhythm 2025 PMID: 40935055, DOI: 10.1016/j.hrthm.2025.09.013.Peer-Reviewed Original ResearchElectrophysiological careMedicare beneficiariesZip codesPercentage of Hispanic residentsSocio-economically disadvantaged groupsResidents of rural areasAnnual income <Multivariate logistic regression modelHigh school educationLogistic regression modelsUnited StatesUS zip codesSociodemographic factorsCardiovascular careOlder adultsGeographic disparitiesHealthcare ResearchPractitioner dataHispanic residentsLong travel timesMedicare providersPacemaker implantationMedicare PhysicianAF ablationUS counties
2024
Correlation between hospital rates of survival to discharge and long-term survival for in-hospital cardiac arrest: Insights from Get With The Guidelines®-Resuscitation registry
Khera R, Aminorroaya A, Kennedy K, Chan P, Investigators A, Grossestreuer A, Moskowitz A, Ornato J, Churpek M, Starks M, Girotra S, Perman S. Correlation between hospital rates of survival to discharge and long-term survival for in-hospital cardiac arrest: Insights from Get With The Guidelines®-Resuscitation registry. Resuscitation 2024, 202: 110322. PMID: 39029583, PMCID: PMC11390317, DOI: 10.1016/j.resuscitation.2024.110322.Peer-Reviewed Original ResearchRisk-standardized survival ratesIn-hospital cardiac arrestWeighted kappa coefficientResuscitation RegistryLong-term survivalSurvivors of in-hospital cardiac arrestHierarchical logistic regression modelsCardiac arrestIn-HospitalLogistic regression modelsLong-term outcomesSurvival dataKappa coefficientHospital performanceIn-Hospital SurvivalMedicare filesMedicare beneficiariesYears of ageHospitalization ratesPost-discharge survivalHospital dischargeRate of survivalMedicareHospitalRegression models
2022
Identifying quality of life outcome patterns to inform treatment choices in ischemic cardiomyopathy
Mori M, Mark DB, Khera R, Lin H, Jones P, Huang C, Lu Y, Geirsson A, Velazquez EJ, Spertus JA, Krumholz HM. Identifying quality of life outcome patterns to inform treatment choices in ischemic cardiomyopathy. American Heart Journal 2022, 254: 12-22. PMID: 35932911, DOI: 10.1016/j.ahj.2022.07.007.Peer-Reviewed Original ResearchConceptsCoronary artery bypass surgeryGuideline-directed medical therapyTreatment choiceBetter outcomesIschemic cardiomyopathyQOL outcomesQoL dataKansas City Cardiomyopathy Questionnaire overall summary scoreQOL trajectoriesOutcome patternsIschemic Heart Failure (STICH) trialHeart Failure TrialMain baseline predictorsArtery bypass surgeryOverall summary scoreDifferent treatment choicesLogistic regression modelsBypass surgeryMedical therapySurgical treatmentFailure TrialLife scoresQOL scoresPatient's probabilityBaseline predictorsAssociation Between Center Level Characteristics And 1-Month Post-LVAD Implant Risk Standardized Mortality Rates
Hendren N, Peltz M, Khera R, Koch S, Young J, Starling R, Tang W, Pandey A, Drazner M, Grodin J. Association Between Center Level Characteristics And 1-Month Post-LVAD Implant Risk Standardized Mortality Rates. Journal Of Cardiac Failure 2022, 28: s59. DOI: 10.1016/j.cardfail.2022.03.151.Peer-Reviewed Original ResearchRisk standardized mortality ratesCenter-level characteristicsPatient-level characteristicsStandardized mortality rateMortality rateConcomitant mitral valve repairMultivariable logistic regression modelCardiopulmonary bypass timeDurable continuous flowPost-LVAD outcomesPercentage of patientsTotal surgical timeMitral valve repairPatient management strategiesPost-implantation outcomesVentricular assist deviceCochran-Armitage trendChi-square testLogistic regression modelsIABP removalIntraoperative ECMOBypass timeCF-LVADsValve repairDestination therapy
2021
Financial Hardship Among Nonelderly Adults With CKD in the United States
Acquah I, Valero-Elizondo J, Javed Z, Ibrahim HN, Patel KV, Ryoo Ali HJ, Menser T, Khera R, Cainzos-Achirica M, Nasir K. Financial Hardship Among Nonelderly Adults With CKD in the United States. American Journal Of Kidney Diseases 2021, 78: 658-668. PMID: 34144103, DOI: 10.1053/j.ajkd.2021.04.011.Peer-Reviewed Original ResearchConceptsChronic kidney diseaseLack of insuranceMedical billsDiagnosis of CKDMultivariable logistic regression modelNational Health Interview SurveyHealth Interview SurveyFinancial hardshipLogistic regression modelsClinical characteristicsClinical factorsCKD diagnosisKidney diseaseUS populationAbstractTextStudy designInterview SurveyRepresentative estimatesDiagnosisRegression modelsRepresentative sampleAdultsOutcomesStrong determinantAMP
2020
Association 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 expendituresPrevalence
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