White CA, Huang D, Akbari A, et al.
Glomerular Filtration Rate Estimation Equations Based on Serum
Creatinine Are Inaccurate in Renal Transplantation: A Systematic
Review.
ASN Annual Meeting -- San Francisco
J Am Soc Nephrol
(Nov) 18:683A 2007

Creatinine-based glomerular filtration rate (GFR) estimation equations are
commonly used to estimate kidney function in renal transplant recipients
(RTRs). The accuracy of these equations in RTRs remains unclear. We performed
a systematic review of studies evaluating the performance of creatinine-based
GFR prediction equations in adult RTRs.
We searched the databases
MEDLINE and EMBASE from 1966 and 1980 respectively to October 2006, reviewed
five specialty journals (January 2000-July 2006) and hand-searched the
abstracts from the American Society of Nephrology Annual meeting (2000-2005)
and the American Transplant Congress (2000-2006). The search yielded 25
studies (5105 GFR measures in 3593 patients). The analysis of most studies
was similar with the reporting of bias (mean difference between measured GFR
and estimated GFR using the prediction equation) and accuracy (percent of GFR
estimates within 10%, 20%, or 30% of measured GFR). For the abbreviated MDRD
equation (n=9), the results were quite variable. The biases ranged from a low
of -11.4 to a high of + 9.2 ml/min/1.73m2. The reported accuracy
was low with a pooled weighted mean 30% accuracy (proportion of estimates
falling within 30% of the measured GFR) of only 76%. Only three studies
calibrated the serum creatinine to the Cleveland Clinic.
The results
for the Cockcroft-Gault equation (n=20) were similar with biases that ranged
from -3.1 to +16 ml/min/1.73m2 and with a pooled weighted mean 30%
accuracy of 73%. For the Nankivell equation (n=9) the biases ranged from -1.4
to 36.3 ml/min/1.73m2. The pooled weighted mean 30% accuracy was
57%. Differences in patient populations, reference standard GFR measurement
techniques and creatinine assay calibration likely account for the
discrepancies between studies.
The wide range of bias with both over
and underestimation of measured GFR indicates that the creatinine-based
estimates are not sufficiently accurate for use in the renal transplant
population and that novel and more accurate markers of GFR are urgently
needed.

© Copyright 2007-2008, American Society of Nephrology.
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