[en] Background: Prevalence of stage 3 chronic kidney disease (CKD) is increasing according to the NHANES study. Prevalence has been calculated using the MDRD study equation for estimating glomerular filtration rate (GFR). Recently, a new estimator based on creatinine, the CKD-EPI equation, has been proposed which is presumed to better perform in normal GFR ranges. The aim of the study was to measure the difference in prevalence of stage 3 CKD in a population using either the MDRD or the CKD-EPI study equations.
Methods: CKDscreening is organized in the Province of Liège, Belgium. On a voluntary basis, people aged between 45 and 75 years are invited to be screened. GFR is estimated by the MDRD study equation and by the "new" CKD-EPI equations.
Results: The population screened consisted in 1992 people (47% of men). Mean serum creatinine was 0.86 ± 0.20 mg/dl. The prevalence of stage 3 CKD in this population using the MDRD or the CKD-EPI equations was 11.04 and 7.98%, respectively. The prevalence of stage 3 CKD is significantly higher with the MDRD study equation (p <0,0012).
Conclusions: Prevalence of stage 3 CKDvaries strongly following the method used for estimating GFR, MDRD or CKDEPI study equations. Such discrepancies are of importance and must be confirmed and explained by additional studies using GFR measured with a reference method.
Prevalence of chronic kidney disease in the United States. J Coresh E Selvin LA Stevens J Manzi JW Kusek P Eggers F Van Lente AS Levey, JAMA 2007 298 2038 2047 10.1001/jama.298.17.2038 17986697 (Pubitemid 350074801)
An epidemic of chronic kidney disease: fact or fiction? RJ Glassock C Winearls, Nephrol Dial Transplant 2008 23 1117 1121 10.1093/ndt/gfn086 18359870
Relationship between chronic kidney disease prevalence and end-stage renal disease risk. SI Hallan BE Vikse, Curr Opin Nephrol Hypertens 2008 17 286 291 10.1097/MNH.0b013e3282f8b177 18408480
Serum creatinine as an index of renal function: new insights into old concepts. RD Perrone NE Madias AS Levey, Clin Chem 1992 38 1933 1953 1394976
Serial assessment of glomerular filtration rate in lupus nephropathy. M Petri L Bockenstedt J Colman Q Whiting-O'Keefe G Fitz A Sebastian D Hellmann, Kidney Int 1988 34 832 839 10.1038/ki.1988.257 3210545
Kidney function in older people: pathology, assessment and management. EJ Lamb SE O'Riordan MP Delaney, Clin Chim Acta 2003 334 25 40 10.1016/S0009-8981(03)00246-8 12867274
Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. AS Levey J Coresh T Greene LA Stevens YL Zhang S Hendriksen JW Kusek F Van Lente, Ann Intern Med 2006 145 247 254 16908915
Why the MDRD equation should not be used in patients with normal renal function (and normal creatinine values)? P Delanaye E Cavalier JM Krzesinski JP Chapelle, Clin Nephrol 2006 66 147 148 16939074
Formula-based estimates of the GFR: equations variable and uncertain. P Delanaye EP Cohen, Nephron Clin Pract 2008 110 48 c53 10.1159/000151436 18708727
Creatinine calibration in NHANES: is a revised MDRD study formula needed? P Delanaye E Cavalier N Maillard JM Krzesinski C Mariat, Am J Kidney Dis 2008 51 709 710 10.1053/j.ajkd.2007.12.041 18371549
Determining prevalence of chronic kidney disease using estimated glomerular filtration rate. P Delanaye E Cavalier JM Krzesinski, JAMA 2008 299 631 10.1001/jama.299.6.631-a 18270349
A new equation to estimate glomerular filtration rate. AS Levey LA Stevens CH Schmid YL Zhang AF Castro III HI Feldman JW Kusek P Eggers F Van Lente T Greene J Coresh, Ann Intern Med 2009 150 604 612 19414839
Reference range and method comparison studies for enzymatic and Jaffe creatinine assays in plasma and serum and early morning urine. BC Mazzachi MJ Peake V Ehrhardt, Clin Lab 2000 46 53 55 10745982
Does the ID-MS traceable MDRD equation work and is it suitable for use with compensated Jaffe and enzymatic creatinine assays? S Vickery PE Stevens RN Dalton F Van Lente EJ Lamb, Nephrol Dial Transplant 2006 21 2439 2445 10.1093/ndt/gfl249 16720592
Statistical methods for assessing agreement between two methods of clinical measurement. JM Bland DG Altman, Lancet 1986 1 307 310 2868172
International comparison of the relationship of chronic kidney disease prevalence and ESRD risk. SI Hallan J Coresh BC Astor A Asberg NR Powe S Romundstad HA Hallan S Lydersen J Holmen, J Am Soc Nephrol 2006 17 2275 2284 10.1681/ASN.2005121273 16790511
Validation of the Modification of Diet in Renal Disease formula for estimating GFR with special emphasis on calibration of the serum creatinine assay. S Hallan A Asberg M Lindberg H Johnsen, Am J Kidney Dis 2004 44 84 93 10.1053/j.ajkd.2004.03.027 15211442
Calibration of serum creatinine in the National Health and Nutrition Examination Surveys (NHANES) 1988-1994, 1999-2004. E Selvin J Manzi LA Stevens F Van Lente DA Lacher AS Levey J Coresh, Am J Kidney Dis 2007 50 918 926 10.1053/j.ajkd.2007.08.020 18037092
Predictive performance of the modification of diet in renal disease and Cockcroft-Gault equations for estimating renal function. M Froissart J Rossert C Jacquot M Paillard P Houillier, J Am Soc Nephrol 2005 16 763 773 10.1681/ASN.2004070549 15659562
Using the modification of diet in renal disease (MDRD) and Cockcroft and Gault equations to estimate glomerular filtration rate (GFR) in older people. EJ Lamb MC Webb SE O'Riordan, Age Ageing 2007 36 689 692 10.1093/ageing/afm121 17881417
Estimation of renal function in subjects with normal serum creatinine levels: influence of age and body mass index. JC Verhave P Fesler J Ribstein CG du A Mimran, Am J Kidney Dis 2005 46 233 241 10.1053/j.ajkd.2005.05.011 16112041
Impact of age on glomerular filtration estimates. P Douville AR Martel J Talbot S Desmeules S Langlois M Agharazii, Nephrol Dial Transplant 2009 24 97 103 10.1093/ndt/gfn473 18772177
Discrepancies between creatinine-based and cystatin C-based equations in estimating prevalence of stage 3 chronic kidney disease in an elderly population. P Delanaye E Cavalier A Saint-Remy L Lutteri JM Krzesinski, Scand J Clin Lab Invest 2009 69 344 349 10.1080/00365510802609856 19051098