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. 2007 Jul;50(1):21-35.
doi: 10.1053/j.ajkd.2007.04.004.

Impact of Creatinine Calibration on Performance of GFR Estimating Equations in a Pooled Individual Patient Database

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Impact of Creatinine Calibration on Performance of GFR Estimating Equations in a Pooled Individual Patient Database

Lesley A Stevens et al. Am J Kidney Dis. .

Abstract

Background: Variation in performance of glomerular filtration rate (GFR) estimating equations is related to variation in calibration of the creatinine assay across clinical laboratories.

Study design: Cross-sectional analysis.

Setting & participants: 6 research studies and 4 clinical populations including 5,504 participants who had GFR measured using urinary clearance of iothalamate.

Measurements: Standardized serum creatinine values obtained by means of calibration to the Cleveland Clinic Research Laboratory using frozen specimens, a calibration panel, and/or survey results from the College of American Pathologists.

Predictor: Noncalibrated serum creatinine assayed in research and clinical laboratories compared with standardized serum creatinine.

Outcome: Difference between measured GFR versus GFR estimated from the Modification of Diet in Renal Disease (MDRD) Study and Cockcroft-Gault equations.

Results: For a noncalibrated serum creatinine value of 1 mg/dL (88.4 micromol/L), standardized serum creatinine value was 0.07 mg/dL (6.2 micromol/L) less than noncalibrated values. In the pooled data set, for the MDRD Study equation, calibration improved median percentage of difference between measured and estimated GFR from 9.0% (interquartile range [IQR], 28%) to 5.8% (IQR, 28%) and improved the percentage of estimates within 30% of measured GFR (P30) from 80% to 83%. The effect of calibration was greater at higher levels of GFR and varied across studies. For the Cockcroft-Gault equation, calibration worsened the median percentage of difference from -2.0% (IQR, 38%) to -11.4% (IQR, 39%), and the P30, from 74% to 69%.

Limitations: College of American Pathologist samples were used for calibration of clinical populations; calibration factors do not account for drift over time in the serum creatinine assay; calibration cannot account for variation in assay performance among individuals.

Conclusion: Calibration improves the performance of the MDRD Study equation. After calibration, larger errors remain for GFR estimates greater than 60 mL/min/1.73 m2 (>1 mL/s/1.73 m2).

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