2020
Attribution of Adverse Events Following Coronary Stent Placement Identified Using Administrative Claims Data
Dhruva SS, Parzynski CS, Gamble GM, Curtis JP, Desai NR, Yeh RW, Masoudi FA, Kuntz R, Shaw RE, Marinac‐Dabic D, Sedrakyan A, Normand S, Krumholz HM, Ross JS. Attribution of Adverse Events Following Coronary Stent Placement Identified Using Administrative Claims Data. Journal Of The American Heart Association 2020, 9: e013606. PMID: 32063087, PMCID: PMC7070203, DOI: 10.1161/jaha.119.013606.Peer-Reviewed Original ResearchMeSH KeywordsAdministrative Claims, HealthcareAgedAged, 80 and overCoronary RestenosisCoronary ThrombosisDatabases, FactualDrug-Eluting StentsFemaleHumansMaleMedicareMyocardial InfarctionPercutaneous Coronary InterventionProduct Surveillance, PostmarketingRegistriesRetreatmentRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesConceptsIndex percutaneous coronary interventionPercutaneous coronary interventionSame coronary arteryDrug-eluting stentsNCDR CathPCI RegistrySubsequent percutaneous coronary interventionAcute myocardial infarctionCoronary arteryClaims dataCathPCI RegistryAdverse eventsIndex procedureMyocardial infarctionRepeat percutaneous coronary interventionReal-world registry dataTarget vessel revascularizationCoronary stent placementAdministrative claims dataLong-term safetyLongitudinal claims dataPotential safety eventsVessel revascularizationCoronary interventionDES placementStent thrombosis
2019
Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention
Mortazavi BJ, Bucholz EM, Desai NR, Huang C, Curtis JP, Masoudi FA, Shaw RE, Negahban SN, Krumholz HM. Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention. JAMA Network Open 2019, 2: e196835. PMID: 31290991, PMCID: PMC6624806, DOI: 10.1001/jamanetworkopen.2019.6835.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionMajor bleedingC-statisticCoronary interventionMAIN OUTCOMEIndex percutaneous coronary interventionSubsequent coronary artery bypassPercutaneous coronary intervention (PCI) proceduresHospital major bleedingMajor bleeding ratesNationwide clinical registryCoronary artery bypassCoronary intervention proceduresComparative effectiveness studiesRisk score modelComplexity of presentationMean c-statisticCoronary angiography dataRegistry modelNCDR modelsArtery bypassBleeding eventsPrediction of riskClinical variablesBleeding rate
2009
All-Cause Readmission and Repeat Revascularization After Percutaneous Coronary Intervention in a Cohort of Medicare Patients
Curtis JP, Schreiner G, Wang Y, Chen J, Spertus JA, Rumsfeld JS, Brindis RG, Krumholz HM. All-Cause Readmission and Repeat Revascularization After Percutaneous Coronary Intervention in a Cohort of Medicare Patients. Journal Of The American College Of Cardiology 2009, 54: 903-907. PMID: 19712799, DOI: 10.1016/j.jacc.2009.04.076.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionReadmission ratesRevascularization proceduresCause readmissionCoronary interventionPCI proceduresMortality rateIndex percutaneous coronary interventionAcute myocardial infarction patientsCause readmission rateIndex PCI procedureMedian readmission rateDays of dischargeRepeat revascularization proceduresMyocardial infarction patientsNon-AMI patientsPCI patientsRepeat revascularizationRevascularization ratesPrimary outcomeInfarction patientsSuch readmissionsMedicare patientsRetrospective analysisReadmission