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Modeling the variability of creatinine measurements improves estimates of the glomerular filtration rate
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Sophie Séronie-Vivien
Published/Copyright:
December 13, 2007
Abstract
Background: The precision of the formulae used to estimate glomerular filtration rate (GFR) decreases when the serum creatinine (SCr) assay is biased compared with the assay used during the development of the formulae.
Methods: For 100 children referred for 51Cr-EDTA clearance (CLEDTA), SCr was measured with a JAFFE (classic Jaffe colorimetric creatinine assay), a compensated Jaffe (COMP), an enzymatic (ENZ) and an HPLC assay. A population pharmacokinetics approach based on a non-linear mixed effects model (NONMEM) was used to model the relationships between the CLEDTA and physiopathological/analytical variables.
Results: Unlike JAFFE values, COMP and ENZ SCr gave a high bias using the Schwartz formula for the GFR calculation (median +27.0% and +39.1%, respectively). The best equation obtained from the analysis of the curves of [51Cr-EDTA]plasma vs. time was (n=67): CLEDTA (mL/min)=61.9×[SCr (μM)/Θ]Ψ× [age (years)/13.4]0.522×(weight (kg)/44.2)0.233. The SCr assay-related coefficients and exponents were Θ=97.4, Ψ=–0.757 (–0.922; –0.592) for JAFFE; Θ=85.3, Ψ=–0.579 (–0.681; –0.477) for COMP; and Θ=82.6, Ψ=–0.560 (–0.659; –0.460) for ENZ. When applied to 33 children, this equation estimated CLEDTA without any significant bias: +3.1% (–11.8; +11.4) for COMP and +5.3% (–7.2; +16.4) for ENZ.
Conclusions: As long as there is no standardization of SCr measurements, population pharmacokinetics may be a powerful tool to model inter-assay variability.
Clin Chem Lab Med 2008;46:215–8.
Received: 2007-7-9
Accepted: 2007-10-16
Published Online: 2007-12-13
Published in Print: 2008-02-01
©2008 by Walter de Gruyter Berlin New York
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