2021
Predicting In-Hospital Mortality in Patients Undergoing Percutaneous Coronary Intervention
Castro-Dominguez YS, Wang Y, Minges KE, McNamara RL, Spertus JA, Dehmer GJ, Messenger JC, Lavin K, Anderson C, Blankinship K, Mercado N, Clary JM, Osborne AD, Curtis JP, Cavender MA. Predicting In-Hospital Mortality in Patients Undergoing Percutaneous Coronary Intervention. Journal Of The American College Of Cardiology 2021, 78: 216-229. PMID: 33957239, DOI: 10.1016/j.jacc.2021.04.067.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionHospital mortalityQuality improvement effortsCoronary interventionDevelopment cohortValidation cohortRisk-standardized mortality ratesHospital risk-standardized mortality ratesBedside risk scoreHigh-risk patientsIn-Hospital MortalityHospital mortality riskRisk of mortalityLevel of consciousnessProcedural urgencyCathPCI RegistryClinical presentationRisk cohortRisk stratificationCardiovascular instabilityCardiac arrestMortality riskRisk scoreClinical acuityClinical relevance
2019
Validating the use of registries and claims data to support randomized trials: Rationale and design of the Extending Trial-Based Evaluations of Medical Therapies Using Novel Sources of Data (EXTEND) Study
Strom JB, Tamez H, Zhao Y, Valsdottir LR, Curtis J, Brennan JM, Shen C, Popma JJ, Mauri L, Yeh RW. Validating the use of registries and claims data to support randomized trials: Rationale and design of the Extending Trial-Based Evaluations of Medical Therapies Using Novel Sources of Data (EXTEND) Study. American Heart Journal 2019, 212: 64-71. PMID: 30953936, PMCID: PMC6535119, DOI: 10.1016/j.ahj.2019.02.007.Peer-Reviewed Original ResearchConceptsMedical therapyDual Antiplatelet Therapy StudyEnd pointEnd-point eventsClinical trial programEfficacy of therapyPatient-level dataClinical trial dataHealth system dataUse of registriesNew medical treatmentsProcedural registryRandomized trialsClaims databasePatient populationNational registryAdministrative claimsOutcome dataMedical treatmentTrial programTrial dataRegistryTrial informationTherapy studiesTrial results
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
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
The Variation in Recovery
Spatz ES, Curry LA, Masoudi FA, Zhou S, Strait KM, Gross CP, Curtis JP, Lansky AJ, Soares Barreto-Filho JA, Lampropulos JF, Bueno H, Chaudhry SI, D'Onofrio G, Safdar B, Dreyer RP, Murugiah K, Spertus JA, Krumholz HM. The Variation in Recovery. Circulation 2015, 132: 1710-1718. PMID: 26350057, PMCID: PMC4858327, DOI: 10.1161/circulationaha.115.016502.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge of OnsetAlgorithmsAortic DissectionClassificationCoronary DiseaseDiagnostic Techniques, CardiovascularFemaleHumansMaleMedical RecordsMiddle AgedMyocardial InfarctionMyocardiumOxygen ConsumptionPhenotypePlaque, AtheroscleroticProspective StudiesReproducibility of ResultsRisk FactorsSex FactorsTreatment OutcomeYoung AdultConceptsAcute myocardial infarctionCoronary artery diseaseArtery diseaseClinical phenotypeNonobstructive coronary artery diseaseYoung AMI Patients (VIRGO) studyObstructive coronary artery diseaseYoung womenType 2 acute myocardial infarctionBiological disease mechanismsSubset of patientsThird universal definitionUnique clinical phenotypeCulprit lesionClinical characteristicsMyocardial infarctionTherapeutic efficacyUniversal definitionStudy participantsPatientsSupply-demand mismatchYoung adultsDisease mechanismsPatient studiesCurrent classification schemes
2014
Validated Contemporary Risk Model of Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Interventions: Insights From the National Cardiovascular Data Registry Cath‐PCI Registry
Tsai TT, Patel UD, Chang TI, Kennedy KF, Masoudi FA, Matheny ME, Kosiborod M, Amin AP, Weintraub WS, Curtis JP, Messenger JC, Rumsfeld JS, Spertus JA. Validated Contemporary Risk Model of Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Interventions: Insights From the National Cardiovascular Data Registry Cath‐PCI Registry. Journal Of The American Heart Association 2014, 3: e001380. PMID: 25516439, PMCID: PMC4338731, DOI: 10.1161/jaha.114.001380.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAge FactorsAgedBiomarkersComorbidityCreatinineDecision Support TechniquesFemaleGlomerular Filtration RateHumansKidneyMaleMiddle AgedPercutaneous Coronary InterventionPredictive Value of TestsRegistriesRenal DialysisReproducibility of ResultsRisk AssessmentRisk FactorsSeverity of Illness IndexTreatment OutcomeUnited StatesConceptsAcute kidney injuryPercutaneous coronary interventionCardiogenic shockKidney injuryCoronary interventionHeart failureValidation cohortPreventative strategiesRisk of PCIPrior percutaneous coronary interventionAKI prediction modelBaseline renal impairmentConsecutive PCI patientsContemporary risk modelsPrior cerebrovascular diseasePrior heart failureChronic lung diseaseRisk-stratify patientsLocal quality improvement effortsQuality improvement effortsGood discriminationBaseline CKDSTEMI presentationPCI patientsPCI registrySex-Specific Mortality Risk by QRS Morphology and Duration in Patients Receiving CRT Results From the NCDR
Zusterzeel R, Curtis JP, Caños DA, Sanders WE, Selzman KA, Piña IL, Spatz ES, Bao H, Ponirakis A, Varosy PD, Masoudi FA, Strauss DG. Sex-Specific Mortality Risk by QRS Morphology and Duration in Patients Receiving CRT Results From the NCDR. Journal Of The American College Of Cardiology 2014, 64: 887-894. PMID: 25169173, DOI: 10.1016/j.jacc.2014.06.1162.Peer-Reviewed Original ResearchConceptsLeft bundle branch blockNational Cardiovascular Data RegistryLonger QRS durationQRS durationQRS morphologyHazard ratioMortality riskBetter survivalCardiac resynchronization therapy defibrillator implantationImplantable Cardioverter-Defibrillator RegistrySex-specific mortality risksCRT-D implantationCRT-D patientsBundle branch blockLower mortality riskSex differencesComparator groupBranch blockData registryBetter outcomesPatientsLower mortalitySurvival curvesMortalityWomen
2013
Enhanced Mortality Risk Prediction With a Focus on High-Risk Percutaneous Coronary Intervention Results From 1,208,137 Procedures in the NCDR (National Cardiovascular Data Registry)
Brennan JM, Curtis JP, Dai D, Fitzgerald S, Khandelwal AK, Spertus JA, Rao SV, Singh M, Shaw RE, Ho KK, Krone RJ, Weintraub WS, Weaver WD, Peterson ED, Registry C. Enhanced Mortality Risk Prediction With a Focus on High-Risk Percutaneous Coronary Intervention Results From 1,208,137 Procedures in the NCDR (National Cardiovascular Data Registry). JACC Cardiovascular Interventions 2013, 6: 790-799. PMID: 23968699, DOI: 10.1016/j.jcin.2013.03.020.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCoronary AngiographyCoronary Artery DiseaseDiscriminant AnalysisFemaleHeart ArrestHospital MortalityHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisOdds RatioPercutaneous Coronary InterventionRegistriesReproducibility of ResultsRisk AssessmentRisk FactorsShock, CardiogenicTime FactorsTreatment OutcomeUnited StatesConceptsPercutaneous coronary interventionRecent cardiac arrestCardiogenic shockInpatient mortalityCardiac arrestPercutaneous Coronary Intervention ResultsBedside risk scoreMain lesion locationHigh-risk patientsChronic total occlusionHigh clinical riskRisk of deathHospital mortality risk modelPre-specified patient subgroupsMortality risk predictionMortality risk modelData collection formRisk prediction modelPCI riskHospital mortalityProcedural mortalityAngiographic predictorsCoronary interventionRisk patientsClinical stability