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Published on: May 10, 2013
Impact of creatinine calibration on performance of GFR estimating equations in a pooled individual patient database
Lesley A Stevens1, Jane Manzi, Andrew S Levey
1Division of Nephrology, Tufts-New England Medical Center, 750 Washington St, Box #391, Boston, MA 02111, USA. lstevens1@tufts-nemc.org <lstevens1@tufts-nemc.org>
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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