2023
Contemporary Methods for Predicting Acute Kidney Injury After Coronary Intervention
Uzendu A, Kennedy K, Chertow G, Amin A, Giri J, Rymer J, Bangalore S, Lavin K, Anderson C, Wang T, Curtis J, Spertus J. Contemporary Methods for Predicting Acute Kidney Injury After Coronary Intervention. JACC Cardiovascular Interventions 2023, 16: 2294-2305. PMID: 37758384, PMCID: PMC10795198, DOI: 10.1016/j.jcin.2023.07.041.Peer-Reviewed Original ResearchConceptsAcute kidney injuryPercutaneous coronary interventionValidation cohortKidney injuryCoronary interventionClinical careIncidence of AKIBedside risk scoreBaseline renal functionNCDR CathPCI RegistryLogistic regression modelsAKI riskNew dialysisAKI predictionCathPCI RegistryRenal functionCommon complicationDerivation cohortMedian ageAKI modelClinical instabilityPCI proceduresC-statisticPatient riskContrast doses
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 CatheterizationChi-Square DistributionChildChild, PreschoolFemaleHeart 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 characteristicsAddition 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 risk
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
A validated risk model for 1-year mortality after primary prevention implantable cardioverter defibrillator placement
Heidenreich PA, Tsai V, Curtis J, Wang Y, Turakhia MP, Masoudi FA, Varosy PD, Goldstein MK. A validated risk model for 1-year mortality after primary prevention implantable cardioverter defibrillator placement. American Heart Journal 2015, 170: 281-289.e2. PMID: 26299225, DOI: 10.1016/j.ahj.2014.12.013.Peer-Reviewed Original ResearchConceptsOne-year mortalityImplantable cardioverter defibrillatorRisk factorsHeart failurePrimary preventionMortality riskRisk scorePrimary prevention implantable cardioverter-defibrillator placementB-type natriuretic peptide valuesImplantable cardioverter-defibrillator placementCardiovascular Disease RegistryPrimary prevention populationNatriuretic peptide valuesChronic lung diseaseSystolic blood pressureSimilar risk factorsBlood urea nitrogenPg/mLLogistic regression modelsPrevention populationICD therapyICD implantationBlood pressureICD RegistryICD placement
2014
Predictors of an Inadequate Defibrillation Safety Margin at ICD Implantation Insights From the National Cardiovascular Data Registry
Hsu JC, Marcus GM, Al-Khatib SM, Wang Y, Curtis JP, Sood N, Parker MW, Kluger J, Lampert R, Russo AM. Predictors of an Inadequate Defibrillation Safety Margin at ICD Implantation Insights From the National Cardiovascular Data Registry. Journal Of The American College Of Cardiology 2014, 64: 256-264. PMID: 25034061, DOI: 10.1016/j.jacc.2014.01.085.Peer-Reviewed Original ResearchConceptsInadequate defibrillation safety marginDefibrillation safety marginSimple risk scoreAdverse eventsRisk scoreNew York Heart Association functional class IIIImplantable cardioverter defibrillator implantationNational Cardiovascular Data RegistrySecondary prevention indicationFunctional class IIIHospital adverse eventsCardioverter-defibrillator implantationIschemic heart diseaseLogistic regression modelsHospital mortalityPrevention indicationICD recipientsMale sexDefibrillation testingRenal dialysisHeart diseaseBiventricular deviceData registryLower riskGreater odds
2013
Prevalence, Correlates, and Temporal Trends in Antiarrhythmic Drug Use at Discharge After Implantable Cardioverter Defibrillator Placement (from the National Cardiovascular Data Registry [NCDR])
Dev S, Peterson PN, Wang Y, Curtis JP, Varosy PD, Masoudi FA. Prevalence, Correlates, and Temporal Trends in Antiarrhythmic Drug Use at Discharge After Implantable Cardioverter Defibrillator Placement (from the National Cardiovascular Data Registry [NCDR]). The American Journal Of Cardiology 2013, 113: 314-320. PMID: 24216126, DOI: 10.1016/j.amjcard.2013.09.023.Peer-Reviewed Original ResearchConceptsImplantable cardioverter defibrillatorAntiarrhythmic drug useAntiarrhythmic drugsMedian odds ratioHospital dischargeOdds ratioSecondary prevention implantable cardioverter defibrillatorDrug useClass III antiarrhythmic drugsImplantable cardioverter-defibrillator placementMultivariate logistic regression modelHospital-level variationClass III agentsLocal treatment patternsLogistic regression modelsFacility-level variablesAntiarrhythmic useICD implantationICD recipientsICD RegistryHospital variationICD placementTreatment patternsDevice shocksAntiarrhythmic agents
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 analysisFactors 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 failureImplantable Cardioverter-Defibrillator Registry Risk Score Models for Acute Procedural Complications or Death After Implantable Cardioverter-Defibrillator Implantation
Haines DE, Wang Y, Curtis J. Implantable Cardioverter-Defibrillator Registry Risk Score Models for Acute Procedural Complications or Death After Implantable Cardioverter-Defibrillator Implantation. Circulation 2011, 123: 2069-2076. PMID: 21537001, DOI: 10.1161/circulationaha.110.959676.Peer-Reviewed Original ResearchConceptsImplantable cardioverter defibrillator implantationSimple risk scoreCardioverter-defibrillator implantationAdverse eventsRisk scoreLower riskNew York Heart Association class IIILow-risk subsetPrior valve surgeryAcute procedural complicationsChronic lung diseaseRisk stratification schemaAvailable clinical variablesBlood urea nitrogenIntensity of careRisk score modelLogistic regression modelsHospital complicationsAcute complicationsHospital deathValve surgeryICD implantationPostprocedural complicationsICD RegistryProcedural complications
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 door-to-balloon time and mortality in patients admitted to hospital with ST elevation myocardial infarction: national cohort study
Rathore SS, Curtis JP, Chen J, Wang Y, Nallamothu BK, Epstein AJ, Krumholz HM, Registry F. Association of door-to-balloon time and mortality in patients admitted to hospital with ST elevation myocardial infarction: national cohort study. The BMJ 2009, 338: b1807. PMID: 19454739, PMCID: PMC2684578, DOI: 10.1136/bmj.b1807.Peer-Reviewed Original ResearchConceptsPrimary percutaneous coronary interventionST-elevation myocardial infarctionElevation myocardial infarctionPercutaneous coronary interventionBalloon timeCoronary interventionMyocardial infarctionCohort studyLower mortalityMultivariable logistic regression modelAssociation of doorIncremental mortality benefitProspective cohort studyNational cohort studyAcute care hospitalsLogistic regression modelsFractional polynomial modelsAdjusted riskLonger doorMedian doorMortality benefitCare hospitalOverall mortalityMAIN OUTCOMEAmerican CollegeAssociation 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
2008
Ethnic and racial disparities in cardiac resynchronization therapy
Farmer SA, Kirkpatrick JN, Heidenreich PA, Curtis JP, Wang Y, Groeneveld PW. Ethnic and racial disparities in cardiac resynchronization therapy. Heart Rhythm 2008, 6: 325-331. PMID: 19251206, DOI: 10.1016/j.hrthm.2008.12.018.Peer-Reviewed Original ResearchConceptsCardiac resynchronization therapyHispanic patientsResynchronization therapyWhite patientsNational Cardiovascular Data Registry ICD RegistryMultivariate logistic regression modelAdvanced heart failureTreatment of patientsEthnic differencesLogistic regression modelsICD RegistryHeart failureRegistry participantsGuideline useInclusion criteriaUse of CRTEligibility criteriaPatientsMultivariate analysisRacial disparitiesTherapyOutcome variablesSubstantial proportionRacial differencesRegression models
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