title: Percutaneous coronary intervention and 30-day mortality: the British Columbia PCI risk score.
abstract: OBJECTIVE
  To construct a calculator to assess the risk of 30-day mortality following PCI.
  
  
  BACKGROUND
  Predictors of 30-day mortality are commonly used to aid management decisions for cardiac surgical patients. There is a need for an equivalent risk-score for 30-day mortality for percutaneous coronary intervention (PCI) as many patients are suitable for both procedures.
  
  
  METHODS
  The British Columbia Cardiac Registry (BCCR) is a population-based registry that collects information on all PCI procedures performed in British Columbia (BC). We used data from the BCCR to identify risk factors for mortality in PCI patients and construct a calculator that predicts 30-day mortality.
  
  
  RESULTS
  Patients (total n = 32,899) were divided into a training set (n = 26,350, PCI between 2000 and 2004) and validation set (n = 6,549, PCI in 2005). Univariate predictors of mortality were identified. Multivariable logistic regression analysis was performed on the training set to develop a statistical model for prediction of 30-day mortality. This model was tested in the validation set. Variables that were objective and available before PCI were included in the final risk score calculator. The 30-day mortality for the overall population was 1.5% (n = 500). Area under the ROC curve was 90.2% for the training set and 91.1% for the validation set indicating that the model also performed well in this group.
  
  
  CONCLUSIONS
  We describe a large, contemporary cohort of patients undergoing PCI with complete follow-up for 30-day mortality. A robust, validated model of 30-day mortality after PCI was used to construct a risk calculator, the BC-PCI risk score, which can be accessed at www.bcpci.org.
authors.affiliation: Division of Cardiology, University of British Columbia, Vancouver, British Columbia, Canada. jaap.hamburger@gmail.com
authors.forename: Jaap N
authors.initials: JN
authors.lastname: Hamburger
authors.forename: Simon J
authors.initials: SJ
authors.lastname: Walsh
authors.forename: Rohit
authors.initials: R
authors.lastname: Khurana
authors.forename: Lillian
authors.initials: L
authors.lastname: Ding
authors.forename: Min
authors.initials: M
authors.lastname: Gao
authors.forename: Karin H
authors.initials: KH
authors.lastname: Humphries
authors.forename: Ronald
authors.initials: R
authors.lastname: Carere
authors.forename: Anthony Y
authors.initials: AY
authors.lastname: Fung
authors.forename: Richard R
authors.initials: RR
authors.lastname: Mildenberger
authors.forename: Gerald J
authors.initials: GJ
authors.lastname: Simkus
authors.forename: John G
authors.initials: JG
authors.lastname: Webb
authors.forename: Christopher E
authors.initials: CE
authors.lastname: Buller
mesh_terms: D000368:Aged; D015906:Angioplasty, Balloon, Coronary / Q000401:mortality*; D001955:British Columbia / Q000453:epidemiology; D017023:Coronary Angiography; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging / Q000401:mortality / Q000503:physiopathology / Q000628:therapy*; D005260:Female; D017052:Hospital Mortality; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D011159:Population Surveillance; D011237:Predictive Value of Tests; D011446:Prospective Studies; D012372:ROC Curve; D012042:Registries; D015203:Reproducibility of Results; D018570:Risk Assessment; D012307:Risk Factors; D012720:Severity of Illness Index; D013997:Time Factors; D016896:Treatment Outcome; D016277:Ventricular Function, Left