title: Estimating glomerular filtration rate in kidney transplantation: a comparison between serum creatinine and cystatin C-based methods.
abstract: Accurate measurement of GFR is critical for the evaluation of new therapies and the care of renal transplant recipients. Although not accurate in renal transplantation, GFR is often estimated using creatinine-based equations. Cystatin C is a marker of GFR that seems to be more accurate than creatinine. Equations to predict GFR based on the serum cystatin C concentration have been developed, but their accuracy in transplantation is unknown. GFR was estimated using four equations (Filler, Le Bricon, Larsson, and Hoek) that are based on serum cystatin C and seven equations that are based on serum creatinine in 117 adult renal transplant recipients. GFR was measured using radiolabeled diethylenetriaminepentaacetic acid (99mTc-DTPA), and the bias, precision, and accuracy of each equation were determined. The mean (99m)Tc-DTPA GFR was 58 +/- 23 ml/min per 1.73 m(2). The cystatin C-based equations of Filler and Le Bricon had the lowest bias (-1.7 and -3.8 ml/min per 1.73 m2), greatest precision (11.4 and 11.8 ml/min per 1.73 m2), and highest accuracy (87 and 89% within 30% of measured GFR, respectively). The cystatin C equations remained accurate even when the measured GFR was >60 ml/min per 1.73 m2. The creatinine-based equations were not as accurate, with only 53 to 80% of estimates within 30% of measured GFR. Cystatin C-based equations are more accurate at predicting GFR in renal transplant recipients than traditional creatinine-based equations. Further prospective studies with repetitive measurement of cystatin C are needed to determine whether cystatin C-based estimates of GFR will be sufficiently accurate to monitor long-term allograft function.
authors.affiliation: Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
authors.forename: Christine
authors.initials: C
authors.lastname: White
authors.forename: Ayub
authors.initials: A
authors.lastname: Akbari
authors.forename: Naser
authors.initials: N
authors.lastname: Hussain
authors.forename: Laurent
authors.initials: L
authors.lastname: Dinh
authors.forename: Guido
authors.initials: G
authors.lastname: Filler
authors.forename: Nathalie
authors.initials: N
authors.lastname: Lepage
authors.forename: Greg A
authors.initials: GA
authors.lastname: Knoll
mesh_terms: D000328:Adult; D015415:Biomarkers / Q000097:blood; D015331:Cohort Studies; D003404:Creatinine / Q000097:blood*; D055316:Cystatin C; D015891:Cystatins / Q000097:blood*; D005260:Female; D005919:Glomerular Filtration Rate / Q000502:physiology*; D006085:Graft Survival; D006801:Humans; D007676:Kidney Failure, Chronic / Q000175:diagnosis / Q000601:surgery*; D016030:Kidney Transplantation / Q000009:adverse effects / Q000379:methods*; D008297:Male; D008875:Middle Aged; D008991:Monitoring, Physiologic / Q000379:methods; D011237:Predictive Value of Tests; D011379:Prognosis; D011446:Prospective Studies; D012307:Risk Factors; D012680:Sensitivity and Specificity
chemical_list: D015415:Biomarkers; C525030:CST3 protein, human; D055316:Cystatin C; D015891:Cystatins; D003404:Creatinine