Literature DB >> 20616162

Renal function equations before and after living kidney donation: a within-individual comparison of performance at different levels of renal function.

Hilde Tent1, Mieneke Rook, Lesley A Stevens, Willem J van Son, L Joost van Pelt, H Sijbrand Hofker, Rutger J Ploeg, Jaap J Homan van der Heide, Gerjan Navis.   

Abstract

BACKGROUND AND OBJECTIVES: The Modification of Diet in Renal Disease (MDRD) study equation and the Cockcroft-Gault (CG) equation perform poorly in the (near-) normal range of GFR. Whether this is due to the level of GFR as such or to differences in individual characteristics between healthy individuals and patient with chronic kidney disease (CKD) is unknown. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We evaluated the performance of MDRD, CG per BSA (CG/(BSA)) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations compared with measured GFR (mGFR; I-iothalamate) at 4 months before and 2 months after donation in 253 consecutive living kidney donors.
RESULTS: mGFR declined from 103 ± 15 to 66 ± 11 ml/min per 1.73 m(2) after donation. All equations underestimated mGFR at both time points. Arithmetic performance analysis showed improved performance after donation of all equations, with significant reduction of bias after donation. Expressed as percentage difference, mGFR-estimated GFR (eGFR) bias was reduced after donation only for CG/(BSA). Finally, in 295 unselected individuals who were screened for donation, mGFR was below the cutoff for donation of 80 ml/min per 1.73 m(2) in 19 individual but in 166, 98, and 74 for MDRD, CDK-EPI, and CG/(BSA), respectively.
CONCLUSIONS: A higher level of GFR as such is associated with larger absolute underestimation of true GFR by eGFR. For donor screening purposes, eGFR should be interpreted with great caution; when in doubt, true GFR should be performed to prevent unjustified decline of prospective kidney donors.

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Year:  2010        PMID: 20616162      PMCID: PMC3001772          DOI: 10.2215/CJN.08761209

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


  27 in total

1.  A formula to estimate the approximate surface area if height and weight be known. 1916.

Authors:  D Du Bois; E F Du Bois
Journal:  Nutrition       Date:  1989 Sep-Oct       Impact factor: 4.008

2.  Prediction of creatinine clearance from serum creatinine.

Authors:  D W Cockcroft; M H Gault
Journal:  Nephron       Date:  1976       Impact factor: 2.847

3.  Performance of the modification of diet in renal disease and Cockcroft-Gault equations in the estimation of GFR in health and in chronic kidney disease.

Authors:  Emilio D Poggio; Xuelei Wang; Tom Greene; Frederik Van Lente; Phillip M Hall
Journal:  J Am Soc Nephrol       Date:  2004-12-22       Impact factor: 10.121

4.  Using serum creatinine to estimate glomerular filtration rate: accuracy in good health and in chronic kidney disease.

Authors:  Andrew D Rule; Timothy S Larson; Erik J Bergstralh; Jeff M Slezak; Steven J Jacobsen; Fernando G Cosio
Journal:  Ann Intern Med       Date:  2004-12-21       Impact factor: 25.391

5.  Precision of glomerular filtration rate determinations for long-term slope calculations is improved by simultaneous infusion of 125I-iothalamate and 131I-hippuran.

Authors:  A J Apperloo; D de Zeeuw; A J Donker; P E de Jong
Journal:  J Am Soc Nephrol       Date:  1996-04       Impact factor: 10.121

6.  A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

Authors:  A S Levey; J P Bosch; J B Lewis; T Greene; N Rogers; D Roth
Journal:  Ann Intern Med       Date:  1999-03-16       Impact factor: 25.391

7.  A comparison of prediction equations for estimating glomerular filtration rate in adults without kidney disease.

Authors:  Julie Lin; Eric L Knight; Mary Lou Hogan; Ajay K Singh
Journal:  J Am Soc Nephrol       Date:  2003-10       Impact factor: 10.121

8.  Predictive performance of renal function equations for patients with chronic kidney disease and normal serum creatinine levels.

Authors:  Andrew G Bostom; Florian Kronenberg; Eberhard Ritz
Journal:  J Am Soc Nephrol       Date:  2002-08       Impact factor: 10.121

9.  Measured and estimated GFR in healthy potential kidney donors.

Authors:  Andrew D Rule; Hiie M Gussak; Gregory R Pond; Erik J Bergstralh; Mark D Stegall; Fernando G Cosio; Timothy S Larson
Journal:  Am J Kidney Dis       Date:  2004-01       Impact factor: 8.860

10.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
Journal:  Ann Intern Med       Date:  2009-05-05       Impact factor: 25.391

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  22 in total

Review 1.  The living kidney donor evaluation: focus on renal issues.

Authors:  Ajay Kher; Didier A Mandelbrot
Journal:  Clin J Am Soc Nephrol       Date:  2012-01-05       Impact factor: 8.237

Review 2.  Biomarkers in chronic kidney disease, from kidney function to kidney damage.

Authors:  Salvador Lopez-Giacoman; Magdalena Madero
Journal:  World J Nephrol       Date:  2015-02-06

3.  Comparison of estimated GFR and measured GFR in prospective living kidney donors.

Authors:  Thakshyanee Bhuvanakrishna; Glen M Blake; Rachel Hilton; Lisa Burnapp; Christopher Sibley-Allen; David Goldsmith
Journal:  Int Urol Nephrol       Date:  2014-11-06       Impact factor: 2.370

4.  Relative performance of the MDRD and CKD-EPI equations for estimating glomerular filtration rate among patients with varied clinical presentations.

Authors:  Kazunori Murata; Nikola A Baumann; Amy K Saenger; Timothy S Larson; Andrew D Rule; John C Lieske
Journal:  Clin J Am Soc Nephrol       Date:  2011-07-07       Impact factor: 8.237

5.  Chapter 1: Definition and classification of CKD.

Authors: 
Journal:  Kidney Int Suppl (2011)       Date:  2013-01

6.  The estimated glomerular filtration rate as a test for chronic kidney disease: problems and solutions.

Authors:  Andrew D Rule; John C Lieske
Journal:  Cleve Clin J Med       Date:  2011-03       Impact factor: 2.321

7.  Kidney function and plasma copeptin levels in healthy kidney donors and autosomal dominant polycystic kidney disease patients.

Authors:  Debbie Zittema; Else van den Berg; Esther Meijer; Wendy E Boertien; Anneke C Muller Kobold; Casper F M Franssen; Paul E de Jong; Stephan J L Bakker; Gerjan Navis; Ron T Gansevoort
Journal:  Clin J Am Soc Nephrol       Date:  2014-07-03       Impact factor: 8.237

8.  The unjustified classification of kidney donors as patients with CKD: critique and recommendations.

Authors:  Arthur J Matas; Hassan N Ibrahim
Journal:  Clin J Am Soc Nephrol       Date:  2013-06-27       Impact factor: 8.237

9.  Preeclampsia and prevalence of microalbuminuria 10 years later.

Authors:  Miriam Kristine Sandvik; Stein Hallan; Einar Svarstad; Bjørn Egil Vikse
Journal:  Clin J Am Soc Nephrol       Date:  2013-05-30       Impact factor: 8.237

10.  Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate.

Authors:  Kunihiro Matsushita; Bakhtawar K Mahmoodi; Mark Woodward; Jonathan R Emberson; Tazeen H Jafar; Sun Ha Jee; Kevan R Polkinghorne; Anoop Shankar; David H Smith; Marcello Tonelli; David G Warnock; Chi-Pang Wen; Josef Coresh; Ron T Gansevoort; Brenda R Hemmelgarn; Andrew S Levey
Journal:  JAMA       Date:  2012-05-09       Impact factor: 56.272

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