Staging chronic kidney disease and estimating glomerular filtration rate: an opinion paper about the new international recommendations

DELANAYE, Pierre; CAVALIER, Etienne

doi:10.1515/cclm-2013-0223

Article (Scientific journals)

Staging chronic kidney disease and estimating glomerular filtration rate: an opinion paper about the new international recommendations

DELANAYE, Pierre; CAVALIER, Etienne

2013 • In Clinical Chemistry and Laboratory Medicine, 51 (10), p. 1911-1917

Peer Reviewed verified by ORBi

Permalink
https://hdl.handle.net/2268/150491

DOI
10.1515/cclm-2013-0223

PubMed
23729625

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

Staging chronic kidney disease.pdf

Publisher postprint (430.92 kB)

Download

All documents in ORBi are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Keywords :

creatinine; cystatin C; glomerular filtration rate

Abstract :

[en] Abstract: In January 2013, the international recommendations
of the KDIGO (for “ Kidney Disease: Improving
Global Outcomes ” ) to define chronic kidney disease
(CKD) and classify patients in CKD stages have been published.
In this opinion article, we will review and discuss
the most important guidelines proposed about CKD staging
and glomerular filtration rate (GFR) estimating. In
particular, we question the choice of fixed knot values
at 60 mL/min/1.73 m ² to define CKD. We also question
the strategies proposed to measure and use cystatin C
results.

Disciplines :

Urology & nephrology
Laboratory medicine & medical technology

Author, co-author :

DELANAYE, Pierre ; Centre Hospitalier Universitaire de Liège - CHU > Néphrologie

CAVALIER, Etienne ; Centre Hospitalier Universitaire de Liège - CHU > Chimie médicale

Language :

English

Title :

Staging chronic kidney disease and estimating glomerular filtration rate: an opinion paper about the new international recommendations

Publication date :

October 2013

Journal title :

Clinical Chemistry and Laboratory Medicine

ISSN :

1434-6621

eISSN :

1437-4331

Publisher :

De Gruyter, Berlin, Germany

Volume :

Issue :

Pages :

1911-1917

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 14 June 2013

Statistics

Number of views

316 (16 by ULiège)

Number of downloads

399 (7 by ULiège)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

OpenAlex citations

Bibliography

Stevens LA, Levey AS. Measured GFR as a confirmatory test for estimated GFR. J Am Soc Nephrol 2009;20: 2305-13.
Gaspari F, Ruggenenti P, Porrini E, Motterlini N, Cannata A, Carrara F, et al. The GFR and GFR decline cannot be accurately estimated in type 2 diabetics. Kidney Int 2013 Feb 27. [Epub ahead of print].
KDIGO 2012 Clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl 2013;3: 1-150.
Delanaye P, Schaeffner E, Ebert N, Cavalier E, Mariat C, Krzesinski JM, et al. Normal reference values for glomerular filtration rate: what do we really know? Nephrol Dial Transplant 2012;27: 2664-72.
Glassock RJ, Winearls C. The global burden of chronic kidney disease: how valid are the estimates? Nephron Clin Pract 2008;110:c39-46.
Glassock RJ, Rule AD. The implications of anatomical and functional changes of the aging kidney: with an emphasis on the glomeruli. Kidney Int 2012;82: 270-7.
Davies DF, Shock NW. Age changes in glomerular filtration rate, effective renal plasma flow, and tubular excretory capacity in adult males. J Clin Invest 1950;29: 496-507.
Poggio ED, Rule AD, Tanchanco R, Arrigain S, Butler RS, Srinivas T, et al. Demographic and clinical characteristics associated with glomerular filtration rates in living kidney donors. Kidney Int 2009;75: 1079-87.
Glassock RJ, Winearls C. An epidemic of chronic kidney disease: fact or fiction? Nephrol Dial Transplant 2008;23: 1117-21. (Pubitemid 351767536)
Chagnac A, Weinstein T, Korzets A, Ramadan E, Hirsch J, Gafter U. Glomerular hemodynamics in severe obesity. Am J Physiol Renal Physiol 2000;278:F817-22. (Pubitemid 30351084)
Moranne O, Froissart M, Rossert J, Gauci C, Boffa JJ, Haymann JP, et al. Timing of onset of CKD-related metabolic complications. J Am Soc Nephrol 2009;20: 164-71.
Inker LA, Schmid CH, Tighiouart H, Eckfeldt JH, Feldman HI, Greene T, et al. Estimating glomerular filtration rate from serum creatinine and cystatin C. N Engl J Med 2012;367: 20-9.
Grubb A, Simonsen O, Sturfelt G, Truedsson L, Thysell H. Serum concentration of cystatin C, factor D and beta 2-microglobulin as a measure of glomerular filtration rate. Acta Med Scand 1985;218: 499-503. (Pubitemid 16147646)
Jacobsson B, Lignelid H, Bergerheim US. Transthyretin and cystatin C are catabolized in proximal tubular epithelial cells and the proteins are not useful as markers for renal cell carcinomas. Histopathology 1995;26: 559-64.
Tenstad O, Roald AB, Grubb A, Aukland K. Renal handling of radiolabelled human cystatin C in the rat. Scand J Clin Lab Invest 1996;56: 409-14. (Pubitemid 26266006)
Vinge E, Lindergard B, Nilsson-Ehle P, Grubb A. Relationships among serum cystatin C, serum creatinine, lean tissue mass and glomerular filtration rate in healthy adults. Scand J Clin Lab Invest 1999;59: 587-92. (Pubitemid 30082117)
Macdonald J, Marcora S, Jibani M, Roberts G, Kumwenda M, Glover R, et al. GFR estimation using cystatin C is not independent of body composition. Am J Kidney Dis 2006;48: 712-9. (Pubitemid 44740040)
Knight EL, Verhave JC, Spiegelman D, Hillege HL, de Zeeuw D, Curhan GC, et al. Factors influencing serum cystatin C levels other than renal function and the impact on renal function measurement. Kidney Int 2004;65: 1416-21. (Pubitemid 38406982)
Stevens LA, Schmid CH, Greene T, Li L, Beck GJ, Joffe MM, et al. Factors other than glomerular filtration rate affect serum cystatin C levels. Kidney Int 2009;75: 652-60.
Friedman RB, Anderson RE, Entine SM, Hirshberg SB. Effects of diseases on clinical laboratory tests. Clin Chem 1980;26: 1D-476D.
Lewis J, Agodoa L, Cheek D, Greene T, Middleton J, O'Connor D, et al. Comparison of cross-sectional renal function measurements in African Americans with hypertensive nephrosclerosis and of primary formulas to estimate glomerular filtration rate. Am J Kidney Dis 2001;38: 744-53.
Perrone RD, Madias NE, Levey AS. Serum creatinine as an index of renal function: new insights into old concepts. Clin Chem 1992;38: 1933-53.
Pottel H, Hoste L, Delanaye P, Cavalier E, Martens F. Demystifying ethnic/sex differences in kidney function: is the difference in (estimating) glomerular filtration rate or in serum creatinine concentration? Clin Chim Acta 2012;413: 1612-7.
Pottel H, Vrydags N, Mahieu B, Vandewynckele E, Croes K, Martens F. Establishing age/sex related serum creatinine reference intervals from hospital laboratory data based on different statistical methods. Clin Chim Acta 2008;396: 49-55.
Pottel H, Martens F. Are eGFR equations better than IDMS-traceable serum creatinine in classifying chronic kidney disease? Scand J Clin Lab Invest 2009;69: 550-61.
Gera M, Slezak JM, Rule AD, Larson TS, Stegall MD, Cosio FG. Assessment of changes in kidney allograft function using creatinine-based estimates of glomerular filtration rate. Am J Transplant 2007;7: 880-7. (Pubitemid 46481182)
Coresh J, Astor BC, McQuillan G, Kusek J, Greene T, Van Lente F, et al. Calibration and random variation of the serum creatinine assay as critical elements of using equations to estimate glomerular filtration rate. Am J Kidney Dis 2002;39: 920-9. (Pubitemid 34454210)
Van Biesen W, Vanholder R, Veys N, Verbeke F, Delanghe J, de Bacquer D, et al. The importance of standardization of creatinine in the implementation of guidelines and recommendations for CKD: implications for CKD management programmes. Nephrol Dial Transplant 2005;21: 77-83. (Pubitemid 43057113)
Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med 1999;130: 461-70. (Pubitemid 29135798)
Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF III, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med 2009;150: 604-12.
Levey AS, Coresh J, Greene T, Stevens LA, Zhang YL, Hendriksen S, et al. Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med 2006;145: 247-54. (Pubitemid 46768608)
Levey AS, Coresh J, Greene T, Marsh J, Stevens LA, Kusek JW, et al. Expressing the modification of diet in renal disease study equation for estimating glomerular filtration rate with standardized serum creatinine values. Clin Chem 2007;53: 766-72. (Pubitemid 46580250)
Stevens LA, Manzi J, Levey AS, Chen J, Deysher AE, Greene T, et al. Impact of creatinine calibration on performance of GFR estimating equations in a pooled individual patient database. Am J Kidney Dis 2007;50: 21-35. (Pubitemid 46962850)
Delanaye P, Cavalier E, Maillard N, Krzesinski JM, Mariat C. Creatinine calibration in NHANES: is a revised MDRD study formula needed? Am J Kidney Dis 2008;51: 709-10.
Delanaye P, Cohen EP. Formula-based estimates of the GFR: equations variable and uncertain. Nephron Clin Pract 2008;110:c48-53.
Pieroni L, Delanaye P, Boutten A, Bargnoux AS, Rozet E, Delatour V, et al. A multicentric evaluation of IDMS-traceable creatinine enzymatic assays. Clin Chim Acta 2011;412: 2070-5.
Panteghini M. Enzymatic assays for creatinine: time for action. Scand J Clin Lab Invest Suppl 2008;241: 84-8. (Pubitemid 351883664)
Murthy K, Stevens LA, Stark PC, Levey AS. Variation in the serum creatinine assay calibration: a practical application to glomerular filtration rate estimation. Kidney Int 2005;68: 1884-7. (Pubitemid 43169935)
Myers GL, Miller WG, Coresh J, Fleming J, Greenberg N, Greene T, et al. Recommendations for improving serum creatinine measurement: a report from the laboratory working group of the national kidney disease education program. Clin Chem 2006;52: 5-18. (Pubitemid 43032461)
Bjork J, Grubb A, Sterner G, Nyman U. A new tool for predicting the probability of chronic kidney disease from a specific value of estimated GFR. Scand J Clin Lab Invest 2010;70: 327-33.
Stevens LA, Coresh J, Feldman HI, Greene T, Lash JP, Nelson RG, et al. Evaluation of the modification of diet in renal disease study equation in a large diverse population. J Am Soc Nephrol 2007;18: 2749-57. (Pubitemid 47531202)
Rule AD, Larson TS, Bergstralh EJ, Slezak JM, Jacobsen SJ, Cosio FG. Using serum creatinine to estimate glomerular filtration rate: accuracy in good health and in chronic kidney disease. Ann Intern Med 2004;141: 929-37.
Rule AD, Bergstralh EJ, Slezak JM, Bergert J, Larson TS. Glomerular filtration rate estimated by cystatin C among different clinical presentations. Kidney Int 2006;69: 399-405. (Pubitemid 43323094)
Bjork J, Grubb A, Sterner G, Nyman U. Revised equations for estimating glomerular filtration rate based on the Lund-Malmo Study cohort. Scand J Clin Lab Invest 2011;71: 232-9.
Schaeffner ES, Ebert N, Delanaye P, Frei U, Gaedeke J, Jakob O, et al. Two novel equations to estimate kidney function in persons aged 70 years or older. Ann Intern Med 2012;157: 471-81.
Delanaye P, Cavalier E, Mariat C, Maillard N, Krzesinski JM. MDRD or CKD-EPI study equations for estimating prevalence of stage 3 CKD in epidemiological studies: which difference? Is this difference relevant? BMC Nephrol 2010;11:8.
Bjork J, Jones I, Nyman U, Sjostrom P. Validation of the Lund-Malmo, Chronic Kidney Disease Epidemiology (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) equations to estimate glomerular filtration rate in a large Swedish clinical population. Scand J Urol Nephrol 2012;46: 212-22.
Iliadis F, Didangelos T, Ntemka A, Makedou A, Moralidis E, Gotzamani-Psarakou A, et al. Glomerular filtration rate estimation in patients with type 2 diabetes: creatinine- or cystatin C-based equations? Diabetologia 2011;54: 2987-94.
Nyman U, Grubb A, Sterner G, Bjork J. The CKD-EPI and MDRD equations to estimate GFR. Validation in the Swedish Lund-Malmo Study cohort. Scand J Clin Lab Invest 2011;71: 129-38.
Gagneux-Brunon A, Delanaye P, Maillard N, Fresard A, Basset T, Alamartine E, et al. Performance of creatinine and cystatin C-based glomerular filtration rate estimating equations in a European HIV-positive cohort. AIDS 2013 Feb 21. [Epub ahead of print].
Delanaye P, Pottel H, Botev R. Should we abandon the use of the MDRD equation in favour of the CKD-EPI equation? Nephrol Dial Transplant 2013;in press.
Masson I, Flamant M, Maillard N, Rule AD, Vrtovsnik F, Peraldi MN, et al. MDRD versus CKD-EPI equation to estimate glomerular filtration rate in kidney transplant recipients. Transplantation 2013 Mar 18. [Epub ahead of print].
Seronie-Vivien S, Delanaye P, Pieroni L, Mariat C, Froissart M, Cristol JP. Cystatin C: current position and future prospects. Clin Chem Lab Med 2008;46: 1664-86.
Filler G, Huang SH, Yasin A. The usefulness of cystatin C and related formulae in pediatrics. Clin Chem Lab Med 2012;50: 2081-91.
Weinert LS, Camargo EG, Soares AA, Silveiro SP. Glomerular filtration rate estimation: performance of serum cystatin C-based prediction equations. Clin Chem Lab Med 2011;49: 1761-71.
Delanaye P, Cavalier E, Krzesinski JM, Mariat C. Cystatin C-based equations: don't repeat the same errors with analytical considerations. Nephrol Dial Transplant 2008;23: 1065-6.
Delanaye P, Pieroni L, Abshoff C, Lutteri L, Chapelle JP, Krzesinski JM, et al. Analytical study of three cystatin C assays and their impact on cystatin C-based GFR-prediction equations. Clin Chim Acta 2008;398: 118-24.
Larsson A, Hansson LO, Flodin M, Katz R, Shlipak MG. Calibration of the Siemens cystatin c immunoassay has changed over time. Clin Chem 2011;57: 777-8.
White CA, Rule AD, Collier CP, Akbari A, Lieske JC, Lepage N, et al. The impact of interlaboratory differences in cystatin C assay measurement on glomerular filtration rate estimation. Clin J Am Soc Nephrol 2011;6: 2150-6.
Grubb A, Blirup-Jensen S, Lindstrom V, Schmidt C, Althaus H, Zegers I. First certified reference material for cystatin C in human serum ERM-DA471/IFCC. Clin Chem Lab Med 2010;48: 1619-21.
Eriksen BO, Mathisen UD, Melsom T, Ingebretsen OC, Jenssen TG, Njolstad I, et al. Cystatin C is not a better estimator of GFR than plasma creatinine in the general population. Kidney Int 2010;78: 1305-11.
Hallan SI, Matsushita K, Sang Y, Mahmoodi BK, Black C, Ishani A, et al. Age and association of kidney measures with mortality and end-stage renal disease. J Am Med Assoc 2012;308: 2349-60.
Matsushita K, Selvin E, Bash LD, Astor BC, Coresh J. Risk implications of the new CKD Epidemiology Collaboration (CKD-EPI) equation compared with the MDRD Study equation for estimated GFR: the Atherosclerosis Risk in Communities (ARIC) Study. Am J Kidney Dis 2010;55: 648-59.
Matsushita K, Van der Velde M, Astor BC, Woodward M, Levey AS, de Jong PE, et al. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis. Lancet 2010;375: 2073-81.
Shlipak MG, Sarnak MJ, Katz R, Fried LF, Seliger SL, Newman AB, et al. Cystatin C and the risk of death and cardiovascular events among elderly persons. N Engl J Med 2005;352: 2049-60. (Pubitemid 40664306)
Rule AD, Bailey KR, Turner ST. What is the goal with endogenous filtration markers - estimation of GFR or prediction of kidney outcomes? Am J Kidney Dis 2011;58: 865-7.
Rule AD, Bailey KR, Lieske JC, Peyser PA, Turner ST. Estimating the glomerular filtration rate from serum creatinine is better than from cystatin C for evaluating risk factors associated with chronic kidney disease. Kidney Int 2013 Feb 20. [Epub ahead of print].