[fr] Les recommandations internationales de 2005 concernant l’insuffisance
rénale chronique proposent une classification basée sur le débit de filtration
glomérulaire (DFG). Depuis cette date, la question posée de la validité des
formules évaluant le DFG, et des créatininémies qui y sont insérées, se pose de
façon encore plus cruciale qu’il y a quelques années. Pour les biologistes, les
conséquences de ces recommandations cliniques sont importantes. En premier
lieu, la formule classique de Cockcroft-Gault doit être abandonnée au profit de
l’équation dite MDRD à 4 variables, et ce malgré les recommandations officielles
françaises actuelles, qui devraient être modifiées d’ici peu. D’autre part,
afin d’optimiser l’évaluation du DFG par cette formule, les biologistes doivent
choisir entre la version dite « 186 » de l’équation MDRD, adaptée aux méthodes
de dosage de la créatininémie non raccordées à la méthode de référence
(chromatographie liquide ou gazeuse couplée à la spectrométrie de masse) et la
version dite « 175 », adaptée aux méthodes de dosages raccordées. A ce jour,
seules certaines méthodes enzymatiques ont fait la preuve de leur raccordement
à une méthode de référence. L’avenir des méthodes colorimétriques
classiques est incertain.
Evolution des modalités d'évaluation de la fonction rénale basée sur la créatinine entre 2005 et 2008: conséquences pour les biologistes
Alternative titles :
[en] Consequences for clinical biochemists of the modifications of the creatinine-based evaluation of glomerular filtration rate between 2005 and 2008.
Publication date :
2008
Journal title :
Annales de Biologie Clinique
ISSN :
0003-3898
eISSN :
1950-6112
Publisher :
John Libbey Eurotext, Montrouge, France
Volume :
66
Issue :
3
Pages :
263-8
Peer reviewed :
Peer Reviewed verified by ORBi
Commentary :
Since 2005, international guidelines propose a stadification for
chronic renal failure based on the glomerular filtration rate (GFR) value. The
performance of the creatinine-based equations allowing the estimation of GFR
and the bias of the creatinine measurements is, more than ever, a crucial issue.
The consequences for the clinical biologists are of importance. First, the
Cockcroft-Gault formula must be replaced by the four variable-MDRD equation.
Second, the biologists must chose from the “175” and the “186” versions
of the MDRD equation. The first one fits the creatinine methods which are
traceable to the reference method (liquid or gas chromatography coupled to
mass spectrometry). The second equation must be used for creatinine methods,
which are not traceable to the reference method. Today, only some enzymatic
methods can prove that they are traceable to the reference method. For the
colorimetric methods, future is inclear.
Seronie-Vivien S, Galteau MM, Carlier MC, et al. Improving the interlaboratory variation for creatinine serum assay]. Ann Biol Clin (Paris) 2004 ; 62 : 165-75.
Panteghini M, Myers GL, Miller WG, Greenberg N. The importance of metrological traceability on the validity of creatinine measurement as an index of renal function. Clin Chem Lab Med 2006 ; 44 : 1287-92.
Miller WG, Myers GL, Ashwood ER, et al. Creatinine measurement : state of the art in accuracy and interlaboratory harmonization. Arch Pathol Lab Med 2005 ; 129 : 297-304.
Levey AS, Eckardt KU, Tsukamoto Y, et al. Definition and classification of chronic kidney disease : a position statement from Kidney Disease : Improving Global Outcomes (KDIGO). Kidney Int 2005 ; 67 : 2089-100.
Cockcroft D, Gault M. Prediction of creatinine clearance from serum creatinine. Nephron 1976 ; 16 : 31-41.
Anaes. Diagnostic de l'insuffisance rénale chez l'adulte. Anaes : recommandation pour la pratique clinique, 2002.
K/DOQI clinical practice guidelines for chronic kidney disease : evaluation, classification, and stratification. Kidney Disease Outcome Quality Initiative. Am J Kidney Dis 2002 ; 39(2 Suppl 2) : S1-246.
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.
Myers GL, Miller WG, Coresh J, 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.
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.
Coresh J, Astor BC, McQuillan G, 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.
Coresh J, Astor BC, Greene T, Eknoyan G, Levey AS. Prevalence of chronic kidney disease and decreased kidney function in the adult US population : Third National Health and Nutrition Examination Survey. Am J Kidney Dis 2003 ; 41 : 1-12.
Van Biesen W, Vanholder R, Veys N, 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 2006 ; 21 : 77-83.
Seronie-Vivien S, Bouissou F, Dattez S, et al. Modeling the variability of creatinine measurements improves estimates of the glomerular filtration rate. Clin Chem Lab Med 2008 ; 46 : 215-8.
Levey AS, Coresh J, Greene T, 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.
Seronie-Vivien S, Galteau MM, Carlier MC, et al. Impact of standardized calibration on the inter-assay variation of 14 automated assays for the measurement of creatinine in human serum. Clin Chem Lab Med 2005 ; 43 : 1227-33.
Froissait M, Rossert J, Jacquot C, Paillard M, Houillier P. Predictive performance of the modification of diet in renal disease and Cockcroft-Gault equations for estimating renal function. J Am Soc Nephrol 2005 ; 16 : 763-73.
Calvert AH, Newell DR, Gumbrell LA, et al. Carboplatin dosage : prospective evaluation of a simple formula based on renal function. J Clin Oncol 1989 ; 7 : 1748-56.
Chatelut E, Canal P, Brunner V, et al. Prediction of carboplatin clearance from standard morphological and biological patient characteristics. J Natl Cancer Inst 1995 ; 87 : 573-80.
Junge W, Wilke B, Halabi A, Klein G. Determination of reference intervals for serum creatinine, creatinine excretion and creatinine clearance with an enzymatic and a modified Jaffe method. Clin Chim Acta 2004 ; 344 : 137-48.
Owen LJ, Keevil BG. Does bilirubin cause interference in Roche creatinine methods? Clin Chem 2007 ; 53 : 370-1.