title: A Study of the Applicability of GFR Evaluation Equations for an Elderly Chinese Population.
abstract: OBJECTIVE
  This study screened current GFR evaluation equations that showed high accuracy for elderly populations and evaluated the applicability of these equations for an elderly Chinese population.
  
  
  METHODS
  A standard dual plasma sampling method (DPSM) of estimating 99mTc-diethylene triamine penta-acetic acid clearance was used to determine measured GFR (mGFR).
  
  
  RESULTS
  Comprehensive information was received for a total of 151 elderly individuals, with a mean mGFR of 65.39 ± 24.19 ml/min/1.73 m2. For the overall samples, the accuracy (P30), bias, absolute bias and interquartile ranges (IQRs) of the CKD2 (cystatin C(CysC)-serum creatinine(SCr)), CKD-EPI(CysC-SCr), Cockcroft-Gault(CG), CKD2(CysC), CKD-EPI(CysC), and Hoek equations were superior to c-aGFR3, c-aGFR4 and Grubb equation, Bland-Altman analysis also demonstrated a consistent result. Among elderly subjects with mGFR≥60 ml/min/1.73 m2, the CKD2 (CysC-SCr) and CKD-EPI (CysC-SCr) equations showed significantly higher correlations and accuracy than the other examined equations. Among elderly subjects with mGFR<60 ml/min/1.73 m2, only the CG equation showed an accuracy (P30) of greater than 70% and demonstrated higher precision than the other examined equations.
  
  
  CONCLUSIONS
  For the elderly population, the CG, CKD2, CKD-EPI, and Hoek equations exhibited good accuracy. The CKD2(CysC-SCr) equation and CKD-EPI(CysC-SCr) equation demonstrated relatively high accuracy for evaluating elderly subjects with mGFR≥60 ml/min/1.73 m2, whereas the CG equation was more suitable for evaluating elderly subjects with mGFR<60 ml/min/1.73 m2.
authors.affiliation: Xuefeng Sun, Department of Nephrology, Chinese PLA General Hospital,State Key Laboratory of Kidney Disease, 28 Fuxing Road, Beijing 100853, China. Tel.: +86 010 66935462; fax: +86 010 68130297. E-mail addresses: xfssun@126.com.
authors.forename: Q
authors.initials: Q
authors.lastname: Huang
authors.forename: X
authors.initials: X
authors.lastname: Sun
authors.forename: Y
authors.initials: Y
authors.lastname: Chen
authors.forename: M
authors.initials: M
authors.lastname: Zhang
authors.forename: L
authors.initials: L
authors.lastname: Tang
authors.forename: S
authors.initials: S
authors.lastname: Liu
authors.forename: R
authors.initials: R
authors.lastname: Wei
authors.forename: S
authors.initials: S
authors.lastname: Wang
authors.forename: J
authors.initials: J
authors.lastname: Zhou
authors.forename: X
authors.initials: X
authors.lastname: Cao
authors.forename: W
authors.initials: W
authors.lastname: Zhang
authors.forename: G
authors.initials: G
authors.lastname: Cai
authors.forename: X
authors.initials: X
authors.lastname: Chen
mesh_terms: D000368:Aged; D044466:Asian People; D002681:China; D003404:Creatinine / Q000097:blood; D055316:Cystatin C / Q000097:blood; D005260:Female; D005919:Glomerular Filtration Rate; D006801:Humans; D007677:Kidney Function Tests / Q000379:methods* / Q000592:standards*; D008297:Male; D008875:Middle Aged
chemical_list: D055316:Cystatin C; D003404:Creatinine