2020
Comparison of left ventricular lead upgrade vs continued medical care among patients eligible for cardiac resynchronization therapy at the time of defibrillator generator replacement: Predictors of left ventricular lead upgrade and associations with long-term outcomes
Hyman MC, Bao H, Curtis JP, Minges K, Schaller RD, Birgersdotter-Green U, Marchlinski FE, Hsu JC. Comparison of left ventricular lead upgrade vs continued medical care among patients eligible for cardiac resynchronization therapy at the time of defibrillator generator replacement: Predictors of left ventricular lead upgrade and associations with long-term outcomes. Heart Rhythm 2020, 17: 1878-1886. PMID: 32497762, DOI: 10.1016/j.hrthm.2020.05.032.Peer-Reviewed Original ResearchConceptsCardiac resynchronization therapyCRT-eligible patientsCRT upgradeResynchronization therapyClinical outcomesNational Cardiovascular Data Registry ICD RegistryGenerator replacementPeriprocedural complication rateLeft ventricular leadSubpopulation of patientsLong-term outcomesICD generator replacementHierarchical logistic regression modelsLogistic regression modelsSecondary endpointsCause mortalityPrimary endpointComplication rateICD RegistryProcedural complicationsMedical managementICD populationNational registryVentricular leadClaims data
2018
Predicting Length of Stay and the Need for Postacute Care After Acute Myocardial Infarction to Improve Healthcare Efficiency
Wasfy JH, Kennedy KF, Masoudi FA, Ferris TG, Arnold SV, Kini V, Peterson P, Curtis JP, Amin AP, Bradley SM, French WJ, Messenger J, Ho PM, Spertus JA. Predicting Length of Stay and the Need for Postacute Care After Acute Myocardial Infarction to Improve Healthcare Efficiency. Circulation Cardiovascular Quality And Outcomes 2018, 11: e004635. PMID: 30354547, PMCID: PMC6207219, DOI: 10.1161/circoutcomes.118.004635.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overClinical Decision-MakingDecision Support TechniquesDelivery of Health Care, IntegratedEfficiency, OrganizationalFemaleHumansLength of StayMaleMiddle AgedMyocardial InfarctionPatient DischargePredictive Value of TestsQuality ImprovementQuality Indicators, Health CareRegistriesRisk FactorsSubacute CareTime FactorsTreatment OutcomeUnited StatesConceptsLength of stayAcute myocardial infarctionAcute MI patientsMyocardial infarctionPostacute carePostacute facilitiesMI patientsST-segment elevation myocardial infarctionPostacute care facilityCare of patientsHierarchical logistic regression modelsLogistic regression modelsCoordinated care planningInitial hospitalizationHospital admissionACTION RegistryTraining cohortCare coordinationNational registryMI subgroupCare planningCare facilitiesPatientsProspective testingHospitalization
2017
Modeling Major Adverse Outcomes of Pediatric and Adult Patients With Congenital Heart Disease Undergoing Cardiac Catheterization
Jayaram N, Spertus JA, Kennedy KF, Vincent R, Martin GR, Curtis JP, Nykanen D, Moore PM, Bergersen L. Modeling Major Adverse Outcomes of Pediatric and Adult Patients With Congenital Heart Disease Undergoing Cardiac Catheterization. Circulation 2017, 136: 2009-2019. PMID: 28882885, PMCID: PMC5698125, DOI: 10.1161/circulationaha.117.027714.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsBlood CoagulationBlood Coagulation DisordersCardiac CatheterizationChildChild, PreschoolChi-Square DistributionFemaleHeart Defects, CongenitalHemodynamicsHumansInfantInfant, NewbornKidneyLogistic ModelsMaleMultivariate AnalysisOdds RatioRegistriesRenal InsufficiencyReproducibility of ResultsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesYoung AdultConceptsProcedure-type risk categoriesMajor adverse outcomesMajor adverse eventsCardiac catheterizationCongenital heart diseaseAdverse eventsValidation cohortAdverse outcomesCongenital cardiac catheterizationIMPACT RegistryRisk categoriesHemodynamic vulnerabilityHeart diseaseMultivariable hierarchical logistic regression modelsFinal risk-adjustment modelSingle ventricle physiologyRisk-adjusted outcomesHierarchical logistic regression modelsRisk-adjustment modelsLogistic regression modelsRisk standardizationRenal insufficiencyAdult patientsConsecutive patientsPatient characteristics
2012
Development of 2 Registry-Based Risk Models Suitable for Characterizing Hospital Performance on 30-Day All-Cause Mortality Rates Among Patients Undergoing Percutaneous Coronary Intervention
Curtis JP, Geary LL, Wang Y, Chen J, Drye EE, Grosso LM, Spertus JA, Rumsfeld JS, Weintraub WS, Masoudi FA, Brindis RG, Krumholz HM. Development of 2 Registry-Based Risk Models Suitable for Characterizing Hospital Performance on 30-Day All-Cause Mortality Rates Among Patients Undergoing Percutaneous Coronary Intervention. Circulation Cardiovascular Quality And Outcomes 2012, 5: 628-637. PMID: 22949491, DOI: 10.1161/circoutcomes.111.964569.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAgedAged, 80 and overAngina PectorisChi-Square DistributionComorbidityFemaleHeart DiseasesHospital MortalityHospitalsHumansLogistic ModelsMaleMyocardial InfarctionOdds RatioOutcome and Process Assessment, Health CarePercutaneous Coronary InterventionQuality Indicators, Health CareRegistriesRisk AssessmentRisk FactorsShock, CardiogenicTime FactorsTreatment OutcomeUnited StatesConceptsST-segment elevation myocardial infarctionPercutaneous coronary interventionRisk-standardized mortality ratesElevation myocardial infarctionPatient mortality ratesMyocardial infarctionMortality rateCardiogenic shockCoronary interventionDerivation cohortHospital risk-standardized mortality ratesCause mortality ratesAdministrative claims dataQuality of careHierarchical logistic regression modelsNational Quality ForumLogistic regression modelsObserved mortality rateCathPCI RegistryNational HospitalClaims dataInfarctionPatientsQuality ForumFinal model
2011
Use and Effectiveness of Intra-Aortic Balloon Pumps Among Patients Undergoing High Risk Percutaneous Coronary Intervention
Curtis JP, Rathore SS, Wang Y, Chen J, Nallamothu BK, Krumholz HM. Use and Effectiveness of Intra-Aortic Balloon Pumps Among Patients Undergoing High Risk Percutaneous Coronary Intervention. Circulation Cardiovascular Quality And Outcomes 2011, 5: 21-30. PMID: 22147887, PMCID: PMC3801197, DOI: 10.1161/circoutcomes.110.960385.Peer-Reviewed Original ResearchConceptsHigh-risk percutaneous coronary interventionIntra-aortic balloon pumpPercutaneous coronary interventionHospital quartilesHospital mortalityIABP useCoronary interventionBalloon pumpHospital characteristicsST-segment elevation myocardial infarctionDepressed left ventricular functionHigh-risk PCI patientsSegment elevation myocardial infarctionElevation myocardial infarctionLeft ventricular functionHierarchical logistic regression modelsLogistic regression modelsIABP usageCardiogenic shockPCI patientsCathPCI RegistryHemodynamic supportVentricular functionHospital variationMultivariable analysis
2010
Prevalence and Predictors of Off-Label Use of Cardiac Resynchronization Therapy in Patients Enrolled in the National Cardiovascular Data Registry Implantable Cardiac-Defibrillator Registry
Fein AS, Wang Y, Curtis JP, Masoudi FA, Varosy PD, Reynolds MR, Registry C. Prevalence and Predictors of Off-Label Use of Cardiac Resynchronization Therapy in Patients Enrolled in the National Cardiovascular Data Registry Implantable Cardiac-Defibrillator Registry. Journal Of The American College Of Cardiology 2010, 56: 766-773. PMID: 20797489, PMCID: PMC2958057, DOI: 10.1016/j.jacc.2010.05.025.Peer-Reviewed Original ResearchConceptsNew York Heart Association functional classYork Heart Association functional classQRS interval durationLabel useConsensus guidelinesMultivariable hierarchical logistic regression modelsPrevious percutaneous coronary interventionAtrial fibrillation/flutterEvidence-based consensus guidelinesFunctional classGuideline-based indicationsPrimary prevention indicationCardiac resynchronization therapyPercutaneous coronary interventionOff-label useHierarchical logistic regression modelsInterval durationLogistic regression modelsStudy time frameApplication of CRTCoronary interventionPrevention indicationDiabetes mellitusEjection fractionResynchronization therapy
2009
Association of Physician Certification and Outcomes Among Patients Receiving an Implantable Cardioverter-Defibrillator
Curtis JP, Luebbert JJ, Wang Y, Rathore SS, Chen J, Heidenreich PA, Hammill SC, Lampert RI, Krumholz HM. Association of Physician Certification and Outcomes Among Patients Receiving an Implantable Cardioverter-Defibrillator. JAMA 2009, 301: 1661-1670. PMID: 19383957, PMCID: PMC2805129, DOI: 10.1001/jama.2009.547.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCardiac ElectrophysiologyCertificationClinical CompetenceDefibrillators, ImplantableFemaleHumansIntraoperative ComplicationsLogistic ModelsMaleMedicineMiddle AgedOutcome and Process Assessment, Health CarePhysiciansPostoperative ComplicationsProsthesis ImplantationRegistriesRetrospective StudiesSpecializationTreatment OutcomeUnited StatesConceptsCRT-D devicesThoracic surgeonsICD implantationPhysician certificationImplantable cardioverter-defibrillator (ICD) proceduresRetrospective cohort studyCardiac resynchronization therapyPatients meeting criteriaRisk of complicationsProcedural complication rateImplantable cardioverter defibrillatorHierarchical logistic regression modelsLogistic regression modelsCohort studyComplication rateICD RegistryResynchronization therapyProcedural complicationsIndependent associationPhysician specialtyCardioverter defibrillatorHigh riskPatientsMeeting criteriaNonelectrophysiologists
2006
Socioeconomic status, treatment, and outcomes among elderly patients hospitalized with heart failure: Findings from the National Heart Failure Project
Rathore SS, Masoudi FA, Wang Y, Curtis JP, Foody JM, Havranek EP, Krumholz HM. Socioeconomic status, treatment, and outcomes among elderly patients hospitalized with heart failure: Findings from the National Heart Failure Project. American Heart Journal 2006, 152: 371-378. PMID: 16875925, PMCID: PMC2790269, DOI: 10.1016/j.ahj.2005.12.002.Peer-Reviewed Original ResearchConceptsLeft ventricular systolic function assessmentHigh SES patientsVentricular systolic function assessmentHeart failureSES patientsSystolic function assessmentYear of dischargeQuality of careSocioeconomic statusMultivariable adjustmentFunction assessmentEnzyme inhibitorsNational Heart Failure ProjectHeart Failure ProjectPrescription of angiotensinLow SES patientsPatients' socioeconomic statusAssociation of SESYear of admissionMedical record dataHierarchical logistic regression modelsLow socioeconomic statusLogistic regression modelsPatient sElderly patients