title: The NCEP-ATPIII but not the IDF criteria for the metabolic syndrome identify Type 2 diabetic patients at increased risk of chronic kidney disease.
abstract: OBJECTIVE
  To examine the association between chronic kidney disease (CKD) and the metabolic syndrome (MetS) using both International Diabetes Federation (IDF) and National Cholesterol Education Program's Adult Treatment Panel III (NCEP-ATPIII) definitions in Chinese subjects with Type 2 diabetes.
  
  
  METHODS
  Subjects with Type 2 diabetes were categorized according to the presence or absence of MetS by IDF or NCEP-ATPIII criteria. CKD was considered present if glomerular filtration rate, calculated using the abbreviated equation developed by the Modification of Diet in Renal Disease study with Chinese modification, was < 60 ml/min per 1.73 m2. Multivariate logistic regression analysis of the association between CKD and MetS by either definition was performed.
  
  
  RESULTS
  Of 6350 subjects (mean age 55.1 +/- 13.3 years), 3439 (54.2%) and 3204 (50.5%) had MetS by IDF and NCEP-ATPIII definitions, respectively. Using the IDF definition, the presence of MetS was not associated with CKD [odds ratio (OR) 0.96, 95% confidence interval (CI) 0.71, 1.29, P = 0.784]. In contrast, the association with CKD was significant when MetS was defined by the NCEP-ATPIII definition (OR 1.75, 95% CI 1.37, 2.24, P < 0.001). In subjects who did not have MetS (n = 2911) as defined by IDF criteria, 997 fulfilled the MetS criteria of NCEP-ATP III. The association with CKD was stronger, after adjustment for covariates, in these subjects (OR 1.42, 95% CI 1.03, 1.97, P = 0.032) compared with subjects who met IDF criteria of MetS.
  
  
  CONCLUSIONS
  In Type 2 diabetes, NCEP-ATPIII, but not the IDF definition of MetS, identifies a subgroup of patients who have a higher risk of CKD.
authors.affiliation: Department of Medicine and Therapeutics, The Chinese University of Hong Kong, The Prince of Wales Hospital, Shatin, Hong Kong.
authors.forename: A O Y
authors.initials: AO
authors.lastname: Luk
authors.forename: R C W
authors.initials: RC
authors.lastname: Ma
authors.forename: W-Y
authors.initials: WY
authors.lastname: So
authors.forename: X-L
authors.initials: XL
authors.lastname: Yang
authors.forename: A P S
authors.initials: AP
authors.lastname: Kong
authors.forename: R
authors.initials: R
authors.lastname: Ozaki
authors.forename: G T C
authors.initials: GT
authors.lastname: Ko
authors.forename: C-C
authors.initials: CC
authors.lastname: Chow
authors.forename: C S
authors.initials: CS
authors.lastname: Cockram
authors.forename: J C N
authors.initials: JC
authors.lastname: Chan
authors.forename: P C Y
authors.initials: PC
authors.lastname: Tong
mesh_terms: D000328:Adult; D000368:Aged; D003924:Diabetes Mellitus, Type 2 / Q000150:complications* / Q000175:diagnosis / Q000503:physiopathology; D005919:Glomerular Filtration Rate; D006801:Humans; D007676:Kidney Failure, Chronic / Q000150:complications* / Q000175:diagnosis / Q000503:physiopathology; D024821:Metabolic Syndrome / Q000150:complications* / Q000175:diagnosis / Q000503:physiopathology; D008875:Middle Aged; D012307:Risk Factors