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