2019
Modeling defibrillation benefit for survival among cardiac resynchronization therapy defibrillator recipients
Bilchick KC, Wang Y, Curtis JP, Cheng A, Dharmarajan K, Shadman R, Dardas TF, Anand I, Lund LH, Dahlström U, Sartipy U, Maggioni A, O'Connor C, Levy WC. Modeling defibrillation benefit for survival among cardiac resynchronization therapy defibrillator recipients. American Heart Journal 2019, 222: 93-104. PMID: 32032927, PMCID: PMC7814502, DOI: 10.1016/j.ahj.2019.12.017.Peer-Reviewed Original ResearchConceptsCRT-D patientsImplantable cardioverter defibrillatorSurvival benefitCRT-DsCardiac resynchronization therapy defibrillator recipientsCardiac resynchronization therapy candidatesSeattle Heart Failure ModelSeattle Proportional Risk ModelCox proportional hazards regressionNational Cardiovascular Data RegistryHeart Failure TrialHeart failure patientsProportional hazards regressionHeart failure modelProportional risk modelFailure patientsCRT candidatesHeart failureCRT pacemakerFailure TrialArrhythmic deathHazards regressionDefibrillator recipientsCRT deviceCardioverter defibrillatorPost Hospital Syndrome: Is the Stress of Hospitalization Causing Harm?
Caraballo C, Dharmarajan K, Krumholz HM. Post Hospital Syndrome: Is the Stress of Hospitalization Causing Harm? Revista Española De Cardiología (English Edition) 2019, 72: 896-898. PMID: 31175070, DOI: 10.1016/j.rec.2019.04.010.BooksThirty-Day Hospital Readmission After Acute Myocardial Infarction in China
Li J, Dharmarajan K, Bai X, Masoudi FA, Spertus JA, Li X, Zheng X, Zhang H, Yan X, Dreyer RP, Krumholz HM, Group F. Thirty-Day Hospital Readmission After Acute Myocardial Infarction in China. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005628. PMID: 31092023, DOI: 10.1161/circoutcomes.119.005628.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionUnplanned cardiovascular readmissionsDays of dischargeMyocardial infarctionCardiovascular readmissionCause readmissionMost readmissionsLower riskFit Cox proportional hazards modelsST-segment elevation myocardial infarctionAcute Coronary Events (GRACE) scoreThirty-day hospital readmissionsDisease-specific health statusCox proportional hazards modelVentricular ejection fractionProportional hazards modelLow social supportBackground ReadmissionRecurrent anginaCardiovascular eventsHospital complicationsUnplanned readmissionIndex hospitalizationClinical factorsConsecutive patients
2018
Association of the Hospital Readmissions Reduction Program With Mortality During and After Hospitalization for Acute Myocardial Infarction, Heart Failure, and Pneumonia
Khera R, Dharmarajan K, Wang Y, Lin Z, Bernheim SM, Wang Y, Normand ST, Krumholz HM. Association of the Hospital Readmissions Reduction Program With Mortality During and After Hospitalization for Acute Myocardial Infarction, Heart Failure, and Pneumonia. JAMA Network Open 2018, 1: e182777. PMID: 30646181, PMCID: PMC6324473, DOI: 10.1001/jamanetworkopen.2018.2777.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramAcute myocardial infarctionPostdischarge mortalityHeart failureHRRP announcementReadmissions Reduction ProgramMedicare beneficiariesRisk-adjusted ratesMyocardial infarctionService Medicare beneficiariesReduction programsInterrupted time series frameworkHospital mortalityReduced readmissionsCohort studyPneumonia hospitalizationsReadmission ratesMAIN OUTCOMEPneumoniaMedicare dataHospitalizationHospitalMortalityReadmissionConcomitant harmTrends in 30-Day Readmission Rates for Medicare and Non-Medicare Patients in the Era of the Affordable Care Act
Angraal S, Khera R, Zhou S, Wang Y, Lin Z, Dharmarajan K, Desai NR, Bernheim SM, Drye EE, Nasir K, Horwitz LI, Krumholz HM. Trends in 30-Day Readmission Rates for Medicare and Non-Medicare Patients in the Era of the Affordable Care Act. The American Journal Of Medicine 2018, 131: 1324-1331.e14. PMID: 30016636, PMCID: PMC6380174, DOI: 10.1016/j.amjmed.2018.06.013.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramReadmission ratesAcute myocardial infarctionHeart failurePatient groupMyocardial infarctionCause readmission rateNationwide Readmissions DatabaseReadmissions Reduction ProgramNon-Medicare patientsNon-target conditionsLower readmissionAffordable Care ActMedicare beneficiariesAge groupsPrivate insuranceCare ActPneumoniaInfarctionPatientsReduction programsMedicareGroupReadmissionFailure
2017
Predicting death after acute myocardial infarction
Castro-Dominguez Y, Dharmarajan K, McNamara RL. Predicting death after acute myocardial infarction. Trends In Cardiovascular Medicine 2017, 28: 102-109. PMID: 28826668, DOI: 10.1016/j.tcm.2017.07.011.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionRisk factorsClinical presentation characteristicsRisk stratification modelImportant risk factorPatients important informationPatient riskClinical informationStratification modelPresentation characteristicsMortalityInfarctionRiskHospitalizationPrognosisCliniciansLength of Stay From the Hospital Perspective
Rosen JE, Salazar MC, Dharmarajan K, Kim AW, Detterbeck FC, Boffa DJ. Length of Stay From the Hospital Perspective. Annals Of Surgery 2017, 266: 383-388. PMID: 27564681, DOI: 10.1097/sla.0000000000001971.Peer-Reviewed Original ResearchConceptsMedian LOSLength of stayEarly discharge practicesDischarge practicesReadmission ratesEarly dischargeCancer-accredited hospitalsNational Cancer DatabaseLung cancer surgeryRisk of readmissionHospital discharge practicesHierarchical logistic regression modelsLack of effectLogistic regression modelsMore readmissionsUnplanned readmissionThoracotomy approachCancer surgeryReadmission riskLung cancerCancer DatabaseInclusion criteriaReadmissionHospital perspectivePatientsSex Differences in Trajectories of Risk After Rehospitalization for Heart Failure, Acute Myocardial Infarction, or Pneumonia
Dreyer RP, Dharmarajan K, Hsieh AF, Welsh J, Qin L, Krumholz HM. Sex Differences in Trajectories of Risk After Rehospitalization for Heart Failure, Acute Myocardial Infarction, or Pneumonia. Circulation Cardiovascular Quality And Outcomes 2017, 10: e003271. PMID: 28506980, PMCID: PMC5650228, DOI: 10.1161/circoutcomes.116.003271.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionHeart failureReadmission riskDaily riskImmediate postdischarge periodRisk of rehospitalizationSex differencesDeath 1 yearPrincipal discharge diagnosisHospitalization of patientsAssociation of sexRehospitalization riskPostdischarge periodDischarge diagnosisMedicare patientsHigh riskMortality riskMedicare feeTrajectories of riskRehospitalizationInfarctionService beneficiariesHospitalizationPneumoniaSeattle Heart Failure and Proportional Risk Models Predict Benefit From Implantable Cardioverter-Defibrillators
Bilchick KC, Wang Y, Cheng A, Curtis JP, Dharmarajan K, Stukenborg GJ, Shadman R, Anand I, Lund LH, Dahlström U, Sartipy U, Maggioni A, Swedberg K, O’Conner C, Levy WC. Seattle Heart Failure and Proportional Risk Models Predict Benefit From Implantable Cardioverter-Defibrillators. Journal Of The American College Of Cardiology 2017, 69: 2606-2618. PMID: 28545633, PMCID: PMC5502749, DOI: 10.1016/j.jacc.2017.03.568.Peer-Reviewed Original ResearchConceptsSeattle Heart Failure ModelSeattle Proportional Risk ModelNational Cardiovascular Data RegistryPrimary prevention ICDsHeart failureSudden deathCause mortalitySurvival benefitMultivariable Cox proportional hazards regressionCox proportional hazards regressionProportional riskProportional hazards regressionRecent clinical trialsHeart failure modelProportional risk modelControl patientsOverall survivalVentricular arrhythmiasHazards regressionICD benefitClinical trialsCardioverter defibrillatorLarge cohortHigh riskData registryPatient–Provider Communication and Health Outcomes Among Individuals With Atherosclerotic Cardiovascular Disease in the United States
Okunrintemi V, Spatz ES, Di Capua P, Salami JA, Valero-Elizondo J, Warraich H, Virani SS, Blaha MJ, Blankstein R, Butt AA, Borden WB, Dharmarajan K, Ting H, Krumholz HM, Nasir K. Patient–Provider Communication and Health Outcomes Among Individuals With Atherosclerotic Cardiovascular Disease in the United States. Circulation Cardiovascular Quality And Outcomes 2017, 10: e003635. PMID: 28373270, DOI: 10.1161/circoutcomes.117.003635.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAspirinAtherosclerosisCommunicationEmergency Service, HospitalFemaleHealth Care CostsHealth Care SurveysHealth ExpendituresHealth StatusHumansHydroxymethylglutaryl-CoA Reductase InhibitorsLength of StayMaleMental HealthMiddle AgedOdds RatioPatient Reported Outcome MeasuresPatient-Centered CarePhysician-Patient RelationsPlatelet Aggregation InhibitorsQuality Indicators, Health CareRisk FactorsUnited StatesYoung AdultConceptsAtherosclerotic cardiovascular diseasePatient-provider communicationHealthcare resource utilizationPatient-reported outcomesCardiovascular diseaseHealth Plans SurveyMedical Expenditure Panel Survey cohortHigher annual healthcare expendituresRepresentative US adult populationHealthcare expendituresAtherosclerotic cardiovascular disease (ASCVD) patientsConsumer AssessmentEmergency room visitsEvidence-based therapiesAnnual healthcare expendituresCardiovascular disease patientsUS adult populationPlans SurveyMental health statusPatient-centered careOutcomes of interestASA useHospital stayRoom visitsPoor outcome
2016
Analysis of Machine Learning Techniques for Heart Failure Readmissions
Mortazavi BJ, Downing NS, Bucholz EM, Dharmarajan K, Manhapra A, Li SX, Negahban SN, Krumholz HM. Analysis of Machine Learning Techniques for Heart Failure Readmissions. Circulation Cardiovascular Quality And Outcomes 2016, 9: 629-640. PMID: 28263938, PMCID: PMC5459389, DOI: 10.1161/circoutcomes.116.003039.Peer-Reviewed Original ResearchOutcomes 1 Year After Implantable Cardioverter–Defibrillator Lead Abandonment Versus Explantation for Unused or Malfunctioning Leads
Zeitler EP, Wang Y, Dharmarajan K, Anstrom KJ, Peterson ED, Daubert JP, Curtis JP, Al-Khatib SM. Outcomes 1 Year After Implantable Cardioverter–Defibrillator Lead Abandonment Versus Explantation for Unused or Malfunctioning Leads. Circulation Arrhythmia And Electrophysiology 2016, 9: e003953. PMID: 27406605, PMCID: PMC4973616, DOI: 10.1161/circep.116.003953.Peer-Reviewed Original ResearchConceptsNational Cardiovascular Data Registry ICD RegistryLead explantationUpper extremity thrombosisProcedure-related complicationsImplantable cardioverter-defibrillator leadsOutcomes 1 yearLong-term safetyCardioverter-defibrillator leadsHospital complicationsHospital deathUrgent surgeryPulmonary embolismICD RegistryHospital eventsPostprocedure complicationsMortality riskPatientsICD leadPropensity scoreComplicationsExplantationLead abandonmentMalfunctioning leadsHigh rateComparative acute
2015
Sex Differences in the Rate, Timing, and Principal Diagnoses of 30-Day Readmissions in Younger Patients with Acute Myocardial Infarction
Dreyer RP, Ranasinghe I, Wang Y, Dharmarajan K, Murugiah K, Nuti SV, Hsieh AF, Spertus JA, Krumholz HM. Sex Differences in the Rate, Timing, and Principal Diagnoses of 30-Day Readmissions in Younger Patients with Acute Myocardial Infarction. Circulation 2015, 132: 158-166. PMID: 26085455, PMCID: PMC5322973, DOI: 10.1161/circulationaha.114.014776.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionPrincipal diagnosisYounger patientsHigh riskUtilization Project State Inpatient DatabasesYoung womenCause readmission rateGreater mortality riskSex differencesNoncardiac diagnosesReadmission diagnosesReadmission timingReadmission ratesInpatient DatabaseReadmission riskFemale sexCondition categoriesReadmissionMortality riskHealthcare costsDay 2InfarctionPatientsDiagnosis
2014
Most Important Outcomes Research Papers on Stroke and Transient Ischemic Attack
Dreyer R, Murugiah K, Nuti SV, Dharmarajan K, Chen SI, Chen R, Wayda B, Ranasinghe I. Most Important Outcomes Research Papers on Stroke and Transient Ischemic Attack. Circulation Cardiovascular Quality And Outcomes 2014, 7: 191-204. PMID: 24425708, DOI: 10.1161/circoutcomes.113.000831.Peer-Reviewed Educational Materials
2013
Hospital readmission performance and patterns of readmission: retrospective cohort study of Medicare admissions
Dharmarajan K, Hsieh AF, Lin Z, Bueno H, Ross JS, Horwitz LI, Barreto-Filho JA, Kim N, Suter LG, Bernheim SM, Drye EE, Krumholz HM. Hospital readmission performance and patterns of readmission: retrospective cohort study of Medicare admissions. The BMJ 2013, 347: f6571. PMID: 24259033, PMCID: PMC3898430, DOI: 10.1136/bmj.f6571.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionRetrospective cohort studyReadmission diagnosesReadmission ratesHeart failureMyocardial infarctionCohort studySpecific diagnosisReadmission performanceHospital readmission performancePatterns of readmissionDay readmission rateRisk-standardized readmission ratesLow performing hospitalsHospital performanceHigh performing hospitalsReadmission timingDay readmissionHospital stayIndex admissionHospital dischargeReadmission patternsHospital admissionCommon diagnosisMedian timeNational Trends in Heart Failure Hospitalization After Acute Myocardial Infarction for Medicare Beneficiaries
Chen J, Hsieh AF, Dharmarajan K, Masoudi FA, Krumholz HM. National Trends in Heart Failure Hospitalization After Acute Myocardial Infarction for Medicare Beneficiaries. Circulation 2013, 128: 2577-2584. PMID: 24190958, PMCID: PMC4415510, DOI: 10.1161/circulationaha.113.003668.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHF hospitalizationHeart failureMyocardial infarctionMedicare beneficiariesManagement of AMIHeart failure hospitalizationSubsequent HF hospitalizationNumber of patientsNational trendsHigh-risk conditionsContemporary national trendsRelative annual increaseDemographic factorsFailure hospitalizationPerson yearsClinical comorbiditiesNational sampleComplete national sampleHospitalizationMedicare feeAMI hospitalizationService beneficiariesAnnual declineStudy periodMost Important Outcomes Research Papers on Hypertension
Chen R, Dharmarajan K, Kulkarni VT, Punnanithinont N, Gupta A, Bikdeli B, Mody PS, Ranasinghe I. Most Important Outcomes Research Papers on Hypertension. Circulation Cardiovascular Quality And Outcomes 2013, 6: e26-e35. PMID: 23838106, PMCID: PMC8152105, DOI: 10.1161/circoutcomes.113.000424.Peer-Reviewed Original ResearchMost Important Outcomes Research Papers on Treatment of Stable Coronary Artery Disease
Bikdeli B, Ranasinghe I, Chen R, Gupta A, Lampropulos JF, Kulkarni VT, Mody PS, Dharmarajan K. Most Important Outcomes Research Papers on Treatment of Stable Coronary Artery Disease. Circulation Cardiovascular Quality And Outcomes 2013, 6: e17-e25. PMID: 23674308, DOI: 10.1161/circoutcomes.113.000310.Peer-Reviewed Original ResearchMost Important Outcomes Research Papers on Variation in Cardiovascular Disease
Lampropulos JF, Gupta A, Kulkarni VT, Mody P, Chen R, Bikdeli B, Dharmarajan K. Most Important Outcomes Research Papers on Variation in Cardiovascular Disease. Circulation Cardiovascular Quality And Outcomes 2013, 6: e9-e16. PMID: 23481532, DOI: 10.1161/circoutcomes.113.000185.Peer-Reviewed Original ResearchAge FactorsCardiovascular DiseasesGuideline AdherenceHealth Services ResearchHealthcare DisparitiesHumansOutcome and Process Assessment, Health CarePractice Guidelines as TopicPractice Patterns, Physicians'Quality Indicators, Health CareResidence CharacteristicsRisk AssessmentRisk FactorsTreatment OutcomeMost Important Outcomes Research Papers on Cardiovascular Disease in Women
Gupta A, Lampropulos JF, Bikdeli B, Mody P, Chen R, Kulkarni VT, Dharmarajan K. Most Important Outcomes Research Papers on Cardiovascular Disease in Women. Circulation Cardiovascular Quality And Outcomes 2013, 6: e1-e7. PMID: 23322810, DOI: 10.1161/circoutcomes.112.970202.Peer-Reviewed Original Research