title: Coronary score adds prognostic information for patients with acute coronary syndrome.
abstract: BACKGROUND
  The aim of the present study was to explore the association of 3 coronary scores with major adverse cardiovascular events (MACE) in patients with acute coronary syndrome (ACS).
  
  
  RESULTS
  The 958 consecutive patients with ACS were followed up until either MACE or 31(st) December 2008 occurred; 257 patients reached clinical endpoints. Cox regression analysis demonstrated that the Gensini score was associated with 90-day MACE (relative risk (RR) 1.021, P=0.004), 6-month MACE (RR 1.021, P<0.001), 1-year MACE (RR 1.017, P=0.002), and MACE during follow-up (RR 1.010, P=0.040). Leaman score was associated with 90-day MACE (RR 1.094, P=0.014), 6-month MACE (RR 1.098, P=0.002), and 1-year MACE (RR 1.074, P=0.009). The logistic regression analysis demonstrated that the Gensini score (odds ratio (OR) 1.037, P=0.001), Leaman score (OR 1.165, P=0.007) and American College of Cardiology/American Heart Association (ACC/AHA) score (OR 1.235, P=0.025) were all associated with cardiogenic death.
  
  
  CONCLUSIONS
  The Gensini score provides more valuable prognostic information on cardiovascular risk than either the Leaman or ACC/AHA score in patients with ACS.
authors.affiliation: Department of Cardiology, The Second People's Hospital of Chengdu, China.
authors.forename: Gang
authors.initials: G
authors.lastname: Huang
authors.forename: Jiang-Long
authors.initials: JL
authors.lastname: Zhao
authors.forename: Huaan
authors.initials: H
authors.lastname: Du
authors.forename: Xian-Bin
authors.initials: XB
authors.lastname: Lan
authors.forename: Yue-Hui
authors.initials: YH
authors.lastname: Yin
mesh_terms: D054058:Acute Coronary Syndrome / Q000000981:diagnostic imaging* / Q000401:mortality*; D000368:Aged; D017023:Coronary Angiography / Q000706:statistics & numerical data*; D016757:Death, Sudden, Cardiac / Q000453:epidemiology*; D005260:Female; D005500:Follow-Up Studies; D006333:Heart Failure / Q000401:mortality; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000401:mortality; D010359:Patient Readmission / Q000706:statistics & numerical data; D011379:Prognosis; D016016:Proportional Hazards Models; D012372:ROC Curve; D012307:Risk Factors; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D020521:Stroke / Q000401:mortality