title: EuroSCORE as predictor of in-hospital mortality after percutaneous coronary intervention.
abstract: OBJECTIVE
  To date, no common risk stratification system is available to predict the risk of surgical or percutaneous myocardial revascularisation in patients with coronary artery disease (CAD). Thus, we sought to assess the European System for Cardiac Operative Risk Evaluation (EuroSCORE) validity to predict in-hospital mortality after percutaneous coronary intervention (PCI).
  
  
  METHODS
  EuroSCORE was prospectively and systematically assessed in 1173 consecutive patients undergoing PCI in a high-volume single centre between April 2005 and October 2006.
  
  
  METHODS
  The receiver-operating characteristics (ROC) curve was used to describe performance and accuracy of the EuroSCORE risk model for the prediction of in-hospital mortality after PCI.
  
  
  RESULTS
  The EuroSCORE model demonstrated an overall relation between EuroSCORE rank and the incidence of in-hospital mortality, showing consistency in predicting patient risk across many subgroups and levels of global risk. At multivariable logistic regression analysis the EuroSCORE value was an independent in-hospital mortality predictor (p = 0.002) together with left main disease (p = 0.005), procedural urgency (p = 0.001), ACC/AHA C type lesion (p = 0.02) and PCI failure (p = 0.01). The area under the ROC curve for the EuroSCORE system was 0.91 (95% CI 0.86 to 0.97), indicating a good ability of the model to discriminate patients at risk of dying during the index hospitalisation.
  
  
  CONCLUSIONS
  The EuroSCORE risk model, already extensively validated for the prediction of early mortality following open-heart surgery, can also be efficiently utilised in the setting of PCI. The introduction of the EuroSCORE assessment in patients with documented CAD may help to improve the revascularisation strategy decision-making process.
authors.affiliation: Institute of Cardiology, Università Cattolica del Sacro Cuore, Rome, Italy. enromagnoli@gmail.com
authors.forename: E
authors.initials: E
authors.lastname: Romagnoli
authors.forename: F
authors.initials: F
authors.lastname: Burzotta
authors.forename: C
authors.initials: C
authors.lastname: Trani
authors.forename: M
authors.initials: M
authors.lastname: Siviglia
authors.forename: G G L
authors.initials: GG
authors.lastname: Biondi-Zoccai
authors.forename: G
authors.initials: G
authors.lastname: Niccoli
authors.forename: A M
authors.initials: AM
authors.lastname: Leone
authors.forename: I
authors.initials: I
authors.lastname: Porto
authors.forename: M A
authors.initials: MA
authors.lastname: Mazzari
authors.forename: R
authors.initials: R
authors.lastname: Mongiardo
authors.forename: A G
authors.initials: AG
authors.lastname: Rebuzzi
authors.forename: G
authors.initials: G
authors.lastname: Schiavoni
authors.forename: F
authors.initials: F
authors.lastname: Crea
mesh_terms: D000368:Aged; D015906:Angioplasty, Balloon, Coronary / Q000401:mortality*; D003324:Coronary Artery Disease / Q000401:mortality / Q000628:therapy*; D005260:Female; D017052:Hospital Mortality; D006801:Humans; D008297:Male; D009204:Myocardial Revascularization / Q000401:mortality; D011237:Predictive Value of Tests; D011446:Prospective Studies; D018570:Risk Assessment; D012720:Severity of Illness Index