Literature DB >> 17591522

Impact of creatinine calibration on performance of GFR estimating equations in a pooled individual patient database.

Lesley A Stevens1, Jane Manzi, Andrew S Levey, Jing Chen, Amy E Deysher, Tom Greene, Emilio D Poggio, Christopher H Schmid, Michael W Steffes, Yaping Lucy Zhang, Frederick Van Lente, Josef Coresh.   

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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Year:  2007        PMID: 17591522     DOI: 10.1053/j.ajkd.2007.04.004

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  81 in total

1.  Imprecision of urinary iothalamate clearance as a gold-standard measure of GFR decreases the diagnostic accuracy of kidney function estimating equations.

Authors:  Yuen-Ting Diana Kwong; Lesley A Stevens; Elizabeth Selvin; Yaping Lucy Zhang; Tom Greene; Frederick Van Lente; Andrew S Levey; Josef Coresh
Journal:  Am J Kidney Dis       Date:  2010-07       Impact factor: 8.860

2.  A critical evaluation of chronic kidney disease--should isolated reduced estimated glomerular filtration rate be considered a 'disease'?

Authors:  Emilio D Poggio; Andrew D Rule
Journal:  Nephrol Dial Transplant       Date:  2008-12-22       Impact factor: 5.992

3.  Do we need another equation to estimate GFR from serum creatinine in renal allograft recipients?

Authors:  Andrew D Rule; Timothy S Larson
Journal:  Nephrol Dial Transplant       Date:  2008-04-09       Impact factor: 5.992

4.  For estimating creatinine clearance measuring muscle mass gives better results than those based on demographics.

Authors:  Andrew D Rule; Kent R Bailey; Gary L Schwartz; Sundeep Khosla; John C Lieske; L Joseph Melton
Journal:  Kidney Int       Date:  2009-01-28       Impact factor: 10.612

Review 5.  Biochemical markers of aging for longitudinal studies in humans.

Authors:  Peter M Engelfriet; Eugène H J M Jansen; H Susan J Picavet; Martijn E T Dollé
Journal:  Epidemiol Rev       Date:  2013-02-04       Impact factor: 6.222

6.  Population pharmacokinetic approach to evaluate the effect of CYP2D6, CYP3A, ABCB1, POR and NR1I2 genotypes on donepezil clearance.

Authors:  Muriel Noetzli; Monia Guidi; Karsten Ebbing; Stephan Eyer; Laurence Wilhelm; Agnès Michon; Valérie Thomazic; Ioana Stancu; Abdel-Messieh Alnawaqil; Christophe Bula; Serge Zumbach; Michel Gaillard; Panteleimon Giannakopoulos; Armin von Gunten; Chantal Csajka; Chin B Eap
Journal:  Br J Clin Pharmacol       Date:  2014-07       Impact factor: 4.335

7.  Prevalence of CKD in the United States: a sensitivity analysis using the National Health and Nutrition Examination Survey (NHANES) 1999-2004.

Authors:  Jon J Snyder; Robert N Foley; Allan J Collins
Journal:  Am J Kidney Dis       Date:  2008-10-31       Impact factor: 8.860

8.  Cystatin C and creatinine in an HIV cohort: the nutrition for healthy living study.

Authors:  Clara Y Jones; Camille A Jones; Ira B Wilson; Tamsin A Knox; Andrew S Levey; Donna Spiegelman; Sherwood L Gorbach; Frederick Van Lente; Lesley A Stevens
Journal:  Am J Kidney Dis       Date:  2008-05-02       Impact factor: 8.860

9.  Screening for CKD with eGFR: doubts and dangers.

Authors:  Richard J Glassock; Christopher Winearls
Journal:  Clin J Am Soc Nephrol       Date:  2008-07-30       Impact factor: 8.237

10.  Comparison of drug dosing recommendations based on measured GFR and kidney function estimating equations.

Authors:  Lesley A Stevens; Thomas D Nolin; Michelle M Richardson; Harold I Feldman; Julia B Lewis; Roger Rodby; Raymond Townsend; Aghogho Okparavero; Yaping Lucy Zhang; Christopher H Schmid; Andrew S Levey
Journal:  Am J Kidney Dis       Date:  2009-05-17       Impact factor: 8.860

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