title: Predictors of clinical SYNTAX score in coronary artery disease: serum uric acid, smoking, and Framingham risk stratification.
abstract: BACKGROUND
  High serum uric acid (SUA) has been well demonstrated to be associated with morbidity and mortality in the general population as well as in patients with coronary artery disease (CAD). Recent studies show that the clinical SYNTAX score (CSS) is a new tool for the risk stratification of patients with complex CAD. In this study, we aimed to evaluate whether SUA was associated with the complexity of CAD as evaluated by the CSS.
  
  
  METHODS
  The study population consisted of 451 patients (69% male) who underwent coronary angiography for the assessment of CAD. A lesion was defined as significant if it caused a 50% reduction of the luminal diameter by visual estimation in vessels ≥1.5 mm. CSS was calculated by multiplying the SYNTAX score by a modified value of age, creatinine, and ejection fraction (ACEF) score (age/ejection fraction +1 for each 10 mL the creatinine clearance <60 mL/min per 1.73 m²).
  
  
  RESULTS
  All subjects were divided into three groups according to CSS tertiles: CSSLOW (CSS 2-11; n = 147), CSSMID (CSS 12-21; n = 152), and CSSHIGH (CSS 22-68; n = 152). The SUA level was prominently related with CSS (5.29 ± 1.23 mg/dL, 6.92 ± 1.23 mg/dL, and 8.31 ± 1.46 mg/dL; P<.001). SUA was a significant predictor of CSS after adjustment for other risk factors (OR, 2.68; P<.001).
  
  
  CONCLUSIONS
  SUA level was significantly associated with the severity and complexity of CAD evaluated by CSS. Further prospective clinical studies are needed to clarify the exact physiopathologic role of SUA in CAD.
authors.affiliation: Department of Cardiovascular Diseases, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
authors.forename: Zhaojun
authors.initials: Z
authors.lastname: Xiong
authors.forename: Cansheng
authors.initials: C
authors.lastname: Zhu
authors.forename: Xiaoxian
authors.initials: X
authors.lastname: Qian
authors.forename: Jieming
authors.initials: J
authors.lastname: Zhu
authors.forename: Zhen
authors.initials: Z
authors.lastname: Wu
authors.forename: Lin
authors.initials: L
authors.lastname: Chen
mesh_terms: D000368:Aged; D017023:Coronary Angiography; D003324:Coronary Artery Disease / Q000097:blood / Q000175:diagnosis / Q000453:epidemiology*; D003430:Cross-Sectional Studies; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D015994:Incidence; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D012189:Retrospective Studies; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D012720:Severity of Illness Index; D012907:Smoking / Q000009:adverse effects*; D015996:Survival Rate / Q000639:trends; D014527:Uric Acid / Q000097:blood*
chemical_list: D014527:Uric Acid