title: Cystatin C improves the diagnosis and stratification of chronic kidney disease, and the estimation of glomerular filtration rate in diabetes.
abstract: OBJECTIVE
  Estimation of glomerular filtration rate (GFR) is recommended to diagnose and stratify chronic kidney disease (CKD). Can cystatin-C (cysC) assay improve the results in diabetic patients?
  
  
  METHODS
  In 124 diabetic patients with a wide range of GFR, as determined by 51Cr-EDTA clearance (i-GFR), we estimated 'e-GFR' by: the recommended Cockcroft-Gault (CG) formula and Modification of Diet in Renal Disease (MDRD) study equation; the new Mayo Clinic quadratic (MCQ) equation; the recently proposed composite estimation including both serum creatinine and cysC; and a simplified approach dividing the MDRD by cysC if less than 1.10mg/L.
  
  
  RESULTS
  The highest diagnostic accuracy (receiver operating characteristic [ROC] curves) and the highest proportions of well-stratified patients were obtained by cysC and the MDRD which, however, underestimated i-GFR for patients without CKD (-17%, P<0.001). The CG overestimated GFR in KDOQI stages 1 and 2, ignored stage 5 and was the least accurate. The MCQ equation overrepresented stage 2, overestimating GFR at this stage (+23%, P<0.005). The composite estimation (54.7+/-27.0mL per minute 1.73m(2)) correlated best with i-GFR (56.1+/-35.3; r=0.90, P<0.001), and did not significantly differ from it across the entire population and within each Kidney Disease Outcome Quality Initiative (KDOQI) stage but was also biased (Bland-Altman procedure). Simply dividing the MDRD by cysC ifless than1.10mg/L produced a comparable performance and eliminated the bias.
  
  
  CONCLUSIONS
  The recommended creatinine-based estimations of GFR need to be improved. CysC assay helps in the diagnosis and stratification of CKD and leads to better estimates of GFR in diabetic patients without any substantial increase in complexity.
authors.affiliation: Nutrition-diabétologie, hôpital Haut-Lévêque, avenue de Magellan, 33600 Pessac, France; Université de Bordeaux-II Victor-Segalen, 33000 Bordeaux, France. vincent.rigalleau@wanadoo.fr
authors.forename: V
authors.initials: V
authors.lastname: Rigalleau
authors.forename: M-C
authors.initials: MC
authors.lastname: Beauvieux
authors.forename: F
authors.initials: F
authors.lastname: Le Moigne
authors.forename: C
authors.initials: C
authors.lastname: Lasseur
authors.forename: P
authors.initials: P
authors.lastname: Chauveau
authors.forename: C
authors.initials: C
authors.lastname: Raffaitin
authors.forename: C
authors.initials: C
authors.lastname: Perlemoine
authors.forename: N
authors.initials: N
authors.lastname: Barthe
authors.forename: C
authors.initials: C
authors.lastname: Combe
authors.forename: H
authors.initials: H
authors.lastname: Gin
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015415:Biomarkers / Q000097:blood; D055316:Cystatin C / Q000097:blood*; D003924:Diabetes Mellitus, Type 2 / Q000503:physiopathology*; D003928:Diabetic Nephropathies / Q000145:classification / Q000175:diagnosis / Q000503:physiopathology*; D005260:Female; D005919:Glomerular Filtration Rate / Q000502:physiology*; D006801:Humans; D007676:Kidney Failure, Chronic / Q000097:blood* / Q000145:classification* / Q000175:diagnosis; D008297:Male; D008875:Middle Aged; D012372:ROC Curve; D012680:Sensitivity and Specificity; D055815:Young Adult
chemical_list: D015415:Biomarkers; D055316:Cystatin C