title: [Risk stratification of diabetic chronic kidney disease using eGFR equations].
abstract: OBJECTIVE
  To compare different eGFR equations for risk stratification of diabetic chronic kidney disease.
  
  
  METHODS
  A total of 601 diabetic patients participated in the study. Data about the patient serum cystatin C (Cys-C), blood urea nitrogen (BUN), creatinine (Scr), uric acid (UA), glycosylated hemoglobin (HbAlc), and urinary albumin creatinine ratio (ACR) were extracted. Simplified MDRD formula were used for calculating glomerular filtration rate (eGFR) using eGFR-EPlcrea, eGFR-EPIcys and eGFR-EPIcrea-cys. The patients were divided into three groups according to their urine ACR. Comparisons were made between the groups of patients in Cys-C, BUN, UA, eGFR and Scr.
  
  
  RESULTS
  There were significant differences (P < 0.05) in Cys-C, eGFR-MDRD, eGFR EPIcrea, eGFR-EPIcys, and eGFR-EPIcrea-cys among the groups of patients. The different equations for risk stratification produced different distributions of patients among the three groups. Significant differences appeared among the groups in the distribution of patients using eGFR-MDRD (P < 0.05), eGFR-EPIcrea (P = 0.000) and eGFR-EPIcys (P < 0.05) and indication for stratification. No significant differences were found in the distribution of patient among the three groups (P > 0.05) using GFR-MDRD, eGFR-EPIcrea and eGFR-EPIcrea-cys as an indication for stratification. In low risk patients, eGFR-MDRD was higher than other eGFR (P < 0.05). In medium and high-risk patients, eGFR-MDRD and eGFR-EPIcrea were higher than eGFR-EPIcys and eGFR-EPIcrea-cys. In very high-risk patients, the four eGFR did not show differences.
  
  
  CONCLUSIONS
  The performance of different eGFR equations differs in risk stratification of diabetic chronic kidney disease. In low-risk patients, MDRD equation may overestimate GFR level.
authors: Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, China.
authors: Jun
authors: J
authors: Zhou
authors: Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, China.
authors: Mei
authors: M
authors: Zhang
authors: Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, China.
authors: Hao-Lan
authors: HL
authors: Song
authors: Department of Laboratory Medicine, Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610072, China.
authors: Fu-Ju
authors: FJ
authors: Yang
authors: Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, China.
authors: Heng-Jian
authors: HJ
authors: Huang
authors: Department of General Practice, West China Hospital, Sichuan University, Chengdu 610041, China.
authors: Shuang-Qing
authors: SQ
authors: Li
mesh_terms: D001806:Blood Urea Nitrogen; D003404:Creatinine / Q000097:blood / Q000652:urine; D055316:Cystatin C; D003920:Diabetes Mellitus / Q000503:physiopathology*; D003928:Diabetic Nephropathies / Q000175:diagnosis*; D005919:Glomerular Filtration Rate; D006801:Humans; D007677:Kidney Function Tests; D051436:Renal Insufficiency, Chronic / Q000175:diagnosis*; D018570:Risk Assessment; D014527:Uric Acid / Q000097:blood
chemical_list: D055316:Cystatin C; D014527:Uric Acid; D003404:Creatinine