2020
Comparison of Mortality and Readmission in Non-Ischemic Versus Ischemic Cardiomyopathy After Implantable Cardioverter-Defibrillator Implantation
Higgins AY, Bjerre J, Parzynski CS, Minges KE, Ahmad T, Desai NR, Enriquez A, Spatz ES, Friedman DJ, Curtis JP, Hlatky MA, Freeman JV. Comparison of Mortality and Readmission in Non-Ischemic Versus Ischemic Cardiomyopathy After Implantable Cardioverter-Defibrillator Implantation. The American Journal Of Cardiology 2020, 133: 116-125. PMID: 32862971, DOI: 10.1016/j.amjcard.2020.07.035.Peer-Reviewed Original ResearchConceptsNon-ischemic cardiomyopathyImplantable cardioverter defibrillator implantationCardioverter-defibrillator implantationICM patientsIschemic cardiomyopathyNational Cardiovascular Data Registry ICD RegistryCox proportional hazards regression modelPrimary prevention ICD implantationLeft ventricular ejection fractionProportional hazards regression modelsPrimary prevention ICDsRetrospective cohort studyVentricular ejection fractionKaplan-Meier curvesHazards regression modelsRisk of mortalityComparison of mortalityMedian followCohort studyICD implantationEjection fractionHeart failureHospital readmissionICD RegistryPatient subgroups
2019
Outcomes and costs of remote patient monitoring among patients with implanted cardiac defibrillators: An economic model based on the PREDICT RM database
Hummel JP, Leipold RJ, Amorosi SL, Bao H, Deger KA, Jones PW, Kansal AR, Ott LS, Stern S, Stein K, Curtis JP, Akar JG. Outcomes and costs of remote patient monitoring among patients with implanted cardiac defibrillators: An economic model based on the PREDICT RM database. Journal Of Cardiovascular Electrophysiology 2019, 30: 1066-1077. PMID: 30938894, PMCID: PMC6850124, DOI: 10.1111/jce.13934.Peer-Reviewed Original ResearchAgedAged, 80 and overArrhythmias, CardiacCost-Benefit AnalysisDatabases, FactualDeath, Sudden, CardiacDefibrillators, ImplantableElectric CountershockFemaleHealth Care CostsHumansMaleMedicareModels, EconomicPatient ReadmissionPredictive Value of TestsQuality-Adjusted Life YearsRegistriesRemote Sensing TechnologyTelemetryTime FactorsTreatment OutcomeUnited States
2018
Outcomes following implantable cardioverter-defibrillator generator replacement in patients with recovered left ventricular systolic function: The National Cardiovascular Data Registry
Thomas IC, Wang Y, See VY, Minges KE, Curtis JP, Hsu JC. Outcomes following implantable cardioverter-defibrillator generator replacement in patients with recovered left ventricular systolic function: The National Cardiovascular Data Registry. Heart Rhythm 2018, 16: 733-740. PMID: 30414460, DOI: 10.1016/j.hrthm.2018.11.005.Peer-Reviewed Original ResearchConceptsLV ejection fractionNational Cardiovascular Data Registry ICD RegistryReduced LV ejection fractionICD generator replacementLeft ventricular systolic functionVentricular systolic functionHF readmissionSystolic functionGenerator replacementAdverse outcomesImplantable Cardioverter-Defibrillator Generator ReplacementNational Cardiovascular Data RegistryLV systolic functionEjection fractionICD RegistryPeriprocedural eventsPrognostic associationAmerican CollegeHigh riskData registryLower riskMedicare beneficiariesPatientsReadmissionClinical encountersClinical Model to Predict 90-Day Risk of Readmission After Acute Myocardial Infarction
Kini V, Peterson PN, Spertus JA, Kennedy KF, Arnold SV, Wasfy JH, Curtis JP, Bradley SM, Amin AP, Ho PM, Masoudi FA. Clinical Model to Predict 90-Day Risk of Readmission After Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2018, 11: e004788. PMID: 30354578, PMCID: PMC6214661, DOI: 10.1161/circoutcomes.118.004788.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionPredictors of readmissionSimple risk scoreDays of hospitalizationGroup of patientsProportional hazards regressionCause readmissionCoronary revascularizationClinical characteristicsCohort studyHospital dischargeDiabetes mellitusHeart failureHazards regressionReadmission riskUnique patientsTransitional careACTION RegistryPrimary diagnosisValue-based reimbursementIndividual patientsReadmissionRisk scoreLower risk
2017
Addition of Blood Pressure and Weight Transmissions to Standard Remote Monitoring of Implantable Defibrillators and its Association with Mortality and Rehospitalization
Al-Chekakie MO, Bao H, Jones PW, Stein KM, Marzec L, Varosy PD, Masoudi FA, Curtis JP, Akar JG. Addition of Blood Pressure and Weight Transmissions to Standard Remote Monitoring of Implantable Defibrillators and its Association with Mortality and Rehospitalization. Circulation Cardiovascular Quality And Outcomes 2017, 10: e003087. PMID: 28506978, DOI: 10.1161/circoutcomes.116.003087.Peer-Reviewed Original ResearchConceptsBlood pressure dataImplantable defibrillatorsRemote patient monitoringTransmission of weightHeart failure hospitalizationImpaired ejection fractionCardiac resynchronization therapyCox regression modelRisk of mortalityLogistic regression modelsRoutine weightCause hospitalizationFailure hospitalizationBlood pressureCardiovascular hospitalizationEjection fractionResynchronization therapyRegression modelsDevice implantationService patientsHospital characteristicsIndependent associationImproved outcomesLandmark analysisSimilar riskHospital Performance on Percutaneous Coronary Intervention Process and Outcomes Measures
Chui PW, Parzynski CS, Nallamothu BK, Masoudi FA, Krumholz HM, Curtis JP. Hospital Performance on Percutaneous Coronary Intervention Process and Outcomes Measures. Journal Of The American Heart Association 2017, 6: e004276. PMID: 28446493, PMCID: PMC5524055, DOI: 10.1161/jaha.116.004276.Peer-Reviewed Original ResearchMeSH KeywordsCardiac RehabilitationCoronary DiseaseCross-Sectional StudiesHealthcare DisparitiesHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMedicarePatient DischargePatient ReadmissionPercutaneous Coronary InterventionPlatelet Aggregation InhibitorsProcess Assessment, Health CareQuality ImprovementQuality Indicators, Health CareReferral and ConsultationRegistriesRisk FactorsTime FactorsTime-to-TreatmentTreatment OutcomeUnited StatesConceptsProcess measuresReadmission ratesOutcome measuresNational Cardiovascular Data Registry CathPCI RegistryHospital performancePercutaneous coronary interventionSpecific process measuresRisk-standardized mortalityPCI patientsCathPCI RegistryCoronary interventionHospital variationOutcome ratesHospital qualityPhysician ConsortiumMortalitySmall percentageWeak correlationAssociationIntervention processPatients
2016
Development and validation of a simple risk score to predict 30‐day readmission after percutaneous coronary intervention in a cohort of medicare patients
Minges KE, Herrin J, Fiorilli PN, Curtis JP. Development and validation of a simple risk score to predict 30‐day readmission after percutaneous coronary intervention in a cohort of medicare patients. Catheterization And Cardiovascular Interventions 2016, 89: 955-963. PMID: 27515069, PMCID: PMC5397364, DOI: 10.1002/ccd.26701.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAlgorithmsDecision Support TechniquesFemaleHumansLogistic ModelsMaleMedicareMultivariate AnalysisOdds RatioPatient ReadmissionPercutaneous Coronary InterventionPredictive Value of TestsRegistriesReproducibility of ResultsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesConceptsRisk of readmissionPCI patientsRisk scoreMultivariable logistic regression modelRisk score developmentDays of dischargeSimple risk scoreTime of dischargeModel c-statisticLogistic regression modelsStepwise selection modelCathPCI RegistryHospital dischargeReadmission ratesClinical factorsRevascularization proceduresValidation cohortC-statisticReadmissionHigh riskMedicare feeLower riskService claimsPatientsCohort
2015
National Trends in Pulmonary Embolism Hospitalization Rates and Outcomes for Adults Aged ≥65 Years in the United States (1999 to 2010)
Minges KE, Bikdeli B, Wang Y, Kim N, Curtis JP, Desai MM, Krumholz HM. National Trends in Pulmonary Embolism Hospitalization Rates and Outcomes for Adults Aged ≥65 Years in the United States (1999 to 2010). The American Journal Of Cardiology 2015, 116: 1436-1442. PMID: 26409636, PMCID: PMC4841688, DOI: 10.1016/j.amjcard.2015.07.068.Peer-Reviewed Original ResearchConceptsHospitalization ratesMortality rateReadmission ratesBlack patientsPrincipal discharge diagnosis codeOlder adultsCause readmission rateHospital mortality rateProportion of patientsRetrospective cohort studyDischarge diagnosis codesSkilled nursing facilitiesNational trendsSignificant racial differencesHigh rateHome health careHospital stayAdults AgedCohort studyMore patientsTherapeutic advancesDiagnosis codesMedicare feeNursing facilitiesSignificant burdenUse of Remote Monitoring Is Associated With Lower Risk of Adverse Outcomes Among Patients With Implanted Cardiac Defibrillators
Akar JG, Bao H, Jones PW, Wang Y, Varosy PD, Masoudi FA, Stein KM, Saxon LA, Normand SL, Curtis JP. Use of Remote Monitoring Is Associated With Lower Risk of Adverse Outcomes Among Patients With Implanted Cardiac Defibrillators. Circulation Arrhythmia And Electrophysiology 2015, 8: 1173-1180. PMID: 26092577, DOI: 10.1161/circep.114.003030.Peer-Reviewed Original ResearchConceptsImplantable cardioverter defibrillatorInitial implantable cardioverter defibrillatorCause mortalityLower riskAdverse outcomesNational Cardiovascular Data Registry ICD RegistryRemote patient monitoringSocial Security Death Master FileCause rehospitalization rateRisk of rehospitalizationImplanted cardiac defibrillatorsDeath Master FileCardiomyopathy pathogenesisCause rehospitalizationICD RegistryRehospitalization ratesMultivariable analysisStudy cohortVital statusService patientsCardioverter defibrillatorCox modelMedicare populationMedicare feePatientsReadmissions After Carotid Artery Revascularization in the Medicare Population
Al-Damluji MS, Dharmarajan K, Zhang W, Geary LL, Stilp E, Dardik A, Mena-Hurtado C, Curtis JP. Readmissions After Carotid Artery Revascularization in the Medicare Population. Journal Of The American College Of Cardiology 2015, 65: 1398-1408. PMID: 25857904, PMCID: PMC4403264, DOI: 10.1016/j.jacc.2015.01.048.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesCarotid artery stentingHospital risk-standardized readmission ratesCarotid revascularizationCarotid endarterectomyReadmission ratesHospital variationReadmission riskService administrative claims dataKaplan-Meier survival curvesLogistic regressionCarotid artery revascularizationPrior clinical researchAcute care hospitalizationDays of dischargeHospital-level variationSevere carotid stenosisCause hospital readmissionAdministrative claims dataMixed-effects logistic regressionChoice of procedureArtery revascularizationIschemic strokeArtery stentingHospital readmission
2014
Temporal Trends in Patient Characteristics and Outcomes Among Medicare Beneficiaries Undergoing Primary Prevention Implantable Cardioverter-Defibrillator Placement in the United States, 2006–2010
Borne RT, Peterson PN, Greenlee R, Heidenreich PA, Wang Y, Curtis JP, Tzou WS, Varosy PD, Kremers MS, Masoudi FA. Temporal Trends in Patient Characteristics and Outcomes Among Medicare Beneficiaries Undergoing Primary Prevention Implantable Cardioverter-Defibrillator Placement in the United States, 2006–2010. Circulation 2014, 130: 845-853. PMID: 25095884, DOI: 10.1161/circulationaha.114.008653.Peer-Reviewed Original ResearchConceptsPrimary prevention ICD implantationDevice-related complicationsPatient characteristicsICD implantationICD RegistryNational Cardiovascular Data Registry ICD RegistryPrimary prevention implantable cardioverter-defibrillator placementConcomitant cardiac resynchronization therapyLeft ventricular ejection fractionImplantable cardioverter-defibrillator placementMultivariable hierarchical logistic regressionCardiac resynchronization therapy devicesCardiac resynchronization therapyVentricular ejection fractionResynchronization therapy devicesCommunity practice settingsSingle-lead deviceHierarchical logistic regressionClinical characteristicsOlder patientsEjection fractionResynchronization therapyPrimary preventionPatient populationHospital characteristicsComparative effectiveness of cardiac resynchronization therapy with an implantable cardioverter-defibrillator versus defibrillator therapy alone: a cohort study.
Masoudi FA, Mi X, Curtis LH, Peterson PN, Curtis JP, Fonarow GC, Hammill SC, Heidenreich PA, Al-Khatib SM, Piccini JP, Qualls LG, Hernandez AF. Comparative effectiveness of cardiac resynchronization therapy with an implantable cardioverter-defibrillator versus defibrillator therapy alone: a cohort study. Annals Of Internal Medicine 2014, 160: 603-11. PMID: 24798523, DOI: 10.7326/m13-1879.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCardiac Resynchronization TherapyComparative Effectiveness ResearchDefibrillators, ImplantableElectrocardiographyHeart FailureHumansInfectionsPatient ReadmissionPropensity ScoreRetrospective StudiesRisk FactorsStroke VolumeTreatment OutcomeVentricular Dysfunction, LeftConceptsReduced left ventricular ejection fractionLeft ventricular ejection fractionHeart failure readmissionVentricular ejection fractionCardiac resynchronization therapyICD therapyQRS durationLower riskCohort studyICD RegistryResynchronization therapyEjection fractionNational Cardiovascular Data Registry ICD RegistryImplantable cardioverter-defibrillator therapyLeft bundle branch blockPropensity-matched patientsRetrospective cohort studyCardioverter-defibrillator therapyDevice-related complicationsBundle branch blockDevice-related infectionsCardiovascular readmissionCause readmissionDefibrillator therapyICD implantationLiving in the Readmission Era
Minges KE, Curtis JP. Living in the Readmission Era. Circulation Cardiovascular Interventions 2014, 7: 9-10. PMID: 24550530, PMCID: PMC3973127, DOI: 10.1161/circinterventions.114.001174.Commentaries, Editorials and Letters
2013
Baby or Bathwater?
Curtis JP. Baby or Bathwater? Circulation 2013, 128: 1177-1178. PMID: 23946266, PMCID: PMC3894686, DOI: 10.1161/circulationaha.113.005091.Commentaries, Editorials and LettersQRS Duration, Bundle-Branch Block Morphology, and Outcomes Among Older Patients With Heart Failure Receiving Cardiac Resynchronization Therapy
Peterson PN, Greiner MA, Qualls LG, Al-Khatib SM, Curtis JP, Fonarow GC, Hammill SC, Heidenreich PA, Hammill BG, Piccini JP, Hernandez AF, Curtis LH, Masoudi FA. QRS Duration, Bundle-Branch Block Morphology, and Outcomes Among Older Patients With Heart Failure Receiving Cardiac Resynchronization Therapy. JAMA 2013, 310: 617-626. PMID: 23942680, DOI: 10.1001/jama.2013.8641.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overBundle-Branch BlockCardiac Resynchronization TherapyCardiac Resynchronization Therapy DevicesCardiovascular DiseasesCohort StudiesElectrocardiographyFee-for-Service PlansFemaleHeart FailureHumansMaleMedicarePatient ReadmissionRetrospective StudiesRiskTreatment OutcomeUnited StatesConceptsLeft bundle branch blockCRT-D implantationCardiac resynchronization therapyHeart failure readmissionQRS durationCause mortalityICD RegistryResynchronization therapyUnadjusted ratesMedicare beneficiariesNational Cardiovascular Data Registry ICD RegistryClinical practiceBundle branch block morphologyCause readmission rateRetrospective cohort studyLonger QRS durationBundle branch blockService Medicare beneficiariesCause readmissionCohort studyCRT-defibrillatorOlder patientsReadmission ratesHeart failureClinical trialsAssociation of Single- vs Dual-Chamber ICDs With Mortality, Readmissions, and Complications Among Patients Receiving an ICD for Primary Prevention
Peterson PN, Varosy PD, Heidenreich PA, Wang Y, Dewland TA, Curtis JP, Go AS, Greenlee RT, Magid DJ, Normand SL, Masoudi FA. Association of Single- vs Dual-Chamber ICDs With Mortality, Readmissions, and Complications Among Patients Receiving an ICD for Primary Prevention. JAMA 2013, 309: 2025-2034. PMID: 23677314, PMCID: PMC3752924, DOI: 10.1001/jama.2013.4982.Peer-Reviewed Original ResearchConceptsDual-chamber ICDSingle-chamber devicesDevice-related complicationsPrimary preventionDual-chamber devicesICD RegistryNational Cardiovascular Data Registry ICD RegistryPropensity-matched cohortRetrospective cohort studyHeart failure readmissionRate of complicationsSudden cardiac deathMedicaid Services feePropensity-score matchingCause hospitalizationCause readmissionCohort studyHospital factorsCardiac deathHeart failureHospitalization outcomesRandomized trialsChamber ICDMAIN OUTCOMEHigh risk
2011
Factors Associated With 30-Day Readmission Rates After Percutaneous Coronary Intervention
Khawaja FJ, Shah ND, Lennon RJ, Slusser JP, Alkatib AA, Rihal CS, Gersh BJ, Montori VM, Holmes DR, Bell MR, Curtis JP, Krumholz HM, Ting HH. Factors Associated With 30-Day Readmission Rates After Percutaneous Coronary Intervention. JAMA Internal Medicine 2011, 172: 112-117. PMID: 22123752, PMCID: PMC3688066, DOI: 10.1001/archinternmed.2011.569.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAgedAngina, UnstableAngioplasty, Balloon, CoronaryCoronary Artery BypassEducational StatusFemaleFollow-Up StudiesHeart FailureHumansIschemic Attack, TransientKidney DiseasesLength of StayMaleMedicareMultivariate AnalysisMyocardial InfarctionNeoplasm MetastasisPatient ReadmissionPeptic UlcerProportional Hazards ModelsPulmonary Disease, Chronic ObstructiveRegistriesSex FactorsStrokeUnited StatesConceptsPercutaneous coronary interventionThirty-day readmissionReadmission ratesCoronary interventionHigh riskChronic obstructive pulmonary diseaseThirty-day readmission ratesCox proportional hazards modelMultivariate logistic regression modelTransient ischemic attackCongestive heart failureObstructive pulmonary diseasePeptic ulcer diseaseSevere renal diseaseAcute myocardial infarctionLength of stayMain outcome measuresProportional hazards modelSaint Mary's HospitalLogistic regression modelsIschemic attackTime-dependent covariatesUnstable anginaCerebrovascular accidentHeart failure
2010
Telemonitoring in Patients with Heart Failure
Chaudhry SI, Mattera JA, Curtis JP, Spertus JA, Herrin J, Lin Z, Phillips CO, Hodshon BV, Cooper LS, Krumholz HM. Telemonitoring in Patients with Heart Failure. New England Journal Of Medicine 2010, 363: 2301-2309. PMID: 21080835, PMCID: PMC3237394, DOI: 10.1056/nejmoa1010029.Peer-Reviewed Original ResearchConceptsPrimary end pointUsual care groupSecondary end pointsHeart failureEnd pointHeart failure outcomesNumber of hospitalizationsTelephone-based interactive voice response systemUsual careAdverse eventsPatient's clinicianMedian ageCare groupLarge trialsInteractive voice response systemPatientsSmall studyVoice response systemNumber of daysHospitalizationReadmissionTelemonitoringSignificant differencesCliniciansDeathTrends in Length of Stay and Short-term Outcomes Among Medicare Patients Hospitalized for Heart Failure, 1993-2006
Bueno H, Ross JS, Wang Y, Chen J, Vidán MT, Normand SL, Curtis JP, Drye EE, Lichtman JH, Keenan PS, Kosiborod M, Krumholz HM. Trends in Length of Stay and Short-term Outcomes Among Medicare Patients Hospitalized for Heart Failure, 1993-2006. JAMA 2010, 303: 2141-2147. PMID: 20516414, PMCID: PMC3020983, DOI: 10.1001/jama.2010.748.Peer-Reviewed Original ResearchConceptsLength of stayShort-term outcomesHeart failureReadmission ratesHospital mortalityDischarge dispositionRisk ratioThirty-day readmission ratesMortality risk ratioSkilled nursing facilitiesHome care servicesHospital stayOlder patientsUnadjusted analysesMedicare patientsObservational studyMedicare feeNursing facilitiesPatientsStayCare servicesMortalityMarked reductionMean lengthOutcomes
2009
Recent National Trends in Readmission Rates After Heart Failure Hospitalization
Ross JS, Chen J, Lin Z, Bueno H, Curtis JP, Keenan PS, Normand SL, Schreiner G, Spertus JA, Vidán MT, Wang Y, Wang Y, Krumholz HM. Recent National Trends in Readmission Rates After Heart Failure Hospitalization. Circulation Heart Failure 2009, 3: 97-103. PMID: 19903931, PMCID: PMC2830811, DOI: 10.1161/circheartfailure.109.885210.Peer-Reviewed Original ResearchConceptsCause readmission rateReadmission ratesHeart failureRecent national trendsHospital variationService beneficiariesAcute-care nonfederal hospitalsUS acute care hospitalsHeart failure hospitalizationHospital readmission ratesAcute care hospitalsNational trendsNational Quality ForumMedicare administrative dataDistinct hospitalizationsFailure hospitalizationMultiple comorbiditiesCare hospitalNonfederal hospitalsMedicare beneficiariesHospitalizationHospitalQuality ForumStudy periodAdministrative data