title: [The relationship between microalbuminuria and coronary artery lesions].
abstract: OBJECTIVE
  To explore the relationship between microalbuminuria and the severity of coronary stenosis in patients with coronary heart disease.
  
  
  METHODS
  169 consecutive patients with coronary artery disease were divided into non-DM group and DM (diabetes mellitus) group. All the patients underwent coronary angiography (CAG) and echocardiography. Urinary albumin to creatinine ratio, BMI, serum creatinine, fasting blood glucose, 2-hour blood glucose, TC, LDL, HDL, TG etc were determined. The coronary artery changes were analysed with CAG. The severity of coronary artery lesion was evaluated by the numbers of diseased vessels and coronary artery stenosis score (6-step evaluation standard according to AHA). The risk factors of coronary artery lesion were analysed by stepwise multiple regression analysis.
  
  
  RESULTS
  (1) In the non-DM group, a microalbuminuria (MA) subgroup had significantly higher coronary artery stenosis score and number of diseased vessels as compared with a non-MA subgroup (7.90 +/- 3.07 vs 5.77 +/- 2.87, P < 0.05; 1.84 +/- 0.17 vs 1.38 +/- 0.93, P < 0.05). Stepwise multiple regression analysis showed MA, male gender, LDL-C, EF were independent predictors of coronary artery stenosis score. (2) In the DM group, a MA subgroup also had significantly higher coronary artery stenosis score and number of diseased vessels as compared with a non-MA subgroup (8.15 +/- 3.4 vs 5.86 +/- 3.06, P < 0.05; 2.03 +/- 0.91 vs 1.51 +/- 0.76, P < 0.05). However, stepwise multiple regression analysis showed only MA and male gender were independent predictors of coronary artery stenosis score.
  
  
  CONCLUSIONS
  The screening of MA in CHD helps to find out the patients with severe coronary artery lesion and worse prognosis.
authors.affiliation: Department of Geriatrics, Xinhua Hospital, Shanghai Jiaotong University, Shanghai 200092, China. baconyan@citiz.net
authors.forename: Yan
authors.initials: Y
authors.lastname: Wang
authors.forename: Yong
authors.initials: Y
authors.lastname: Li
mesh_terms: D000368:Aged; D000419:Albuminuria / Q000097:blood / Q000150:complications* / Q000652:urine; D001786:Blood Glucose / Q000378:metabolism; D002784:Cholesterol / Q000097:blood; D017023:Coronary Angiography; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging / Q000209:etiology*; D003404:Creatinine / Q000097:blood; D003920:Diabetes Mellitus / Q000097:blood; D005260:Female; D006801:Humans; D008075:Lipoproteins, HDL / Q000097:blood; D008077:Lipoproteins, LDL / Q000097:blood; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D011379:Prognosis; D012044:Regression Analysis; D014280:Triglycerides / Q000097:blood
chemical_list: D001786:Blood Glucose; D008075:Lipoproteins, HDL; D008077:Lipoproteins, LDL; D014280:Triglycerides; D002784:Cholesterol; D003404:Creatinine