Changing from the MDRD to the CKD-EPI equation: Impact on the reclassification of chronic kidney disease stages;Passaggio dalla formula MDRD alla CKD-EPI: impatto sulla riclassificazione in stadi della malattia renale cronica

Rivista Italiana della Medicina di Laboratorio

Volumn 8, Issue 1, 2012, Pages 45-53

  Anesi, Adriano ^a   Casati, Marco ^b   Farina, Marco ^a   Tornesello, Anna Lisa ^a   Baroni, Dominga ^a   Pittalis, Salvatore ^a  

^a Azienda Ospedaliera della Provincia di Lodi   (Italy)

^b SAN GERARDO HOSPITAL   (Italy)

Author keywords

Chronic kidney disease; CKD EPI equation; Glomerular filtration rate; MDRD equation

Indexed keywords

ARTICLE; CHRONIC KIDNEY FAILURE; DIET; DISEASE CLASSIFICATION; LIFESTYLE MODIFICATION;

EID: 84860490523     PISSN: 1825859X     EISSN: 20396821     Source Type: Journal    
DOI: 10.1007/s13631-011-0040-5     Document Type: Article

References (51)

1. A.S. Levey R. Atkins J. Coresh, et al. 2007 Chronic kidney disease as a global public health problem: approaches and initiatives - A position statement from Kidney Disease Improving Global Outcomes Kidney Int 72 247 259 17568785 10.1038/sj.ki.5002343 1:STN:280:DC%2BD2svivF2ntA%3D%3D (Pubitemid 47172384)
2. J. Coresh E. Selvin A.S. Lesley, et al. 2007 Prevalence of chronic kidney disease in the United States JAMA 298 2038 2047 17986697 10.1001/jama.298.17. 2038 1:CAS:528:DC%2BD2sXht1yjsLnM (Pubitemid 350074801)
3. S.I. Hallan J. Coresh B.C. Astor, et al. 2006 International comparison of the relationship of chronic kidney disease prevalence and ESRD risk J Am Soc Nephrol 17 8 2275 2284 16790511 10.1681/ASN.2005121273 (Pubitemid 44141918)
4. S.J. Chadban E.M. Briganti P.G. Kerr, et al. 2003 Prevalence of kidney damage in Australian adults: the AusDiab kidney study J Am Soc Nephrol 14 7 S131 138 12819318 10.1097/01.ASN.0000070152.11927.4A
5. J. Coresh D. Byrd-Holt B.C. Astor, et al. 2005 Chronic kidney disease awareness, prevalence, and trends among U.S. adults, 1999 to 2000 J Am Soc Nephrol 16 1 180 188 15563563 10.1681/ASN.2004070539 (Pubitemid 43073171)
6. A.S. Go G.M. Chertow D. Fan, et al. 2004 Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization N Engl J Med 351 1296 1305 15385656 10.1056/NEJMoa041031 1:CAS:528:DC%2BD2cXnvFSgtr8%3D (Pubitemid 39268908)
7. National Kidney Foundation 2002 K/DOQI clinical practice guidelines for chronic kidney disease: evalutation, classification and stratification Am J Kidney Dis 39 2Suppl1 S1 S246
8. A. Levey J. Bosch J. Breyer Lewis, et al. 1999 A more accurate method to estimate glomerular filtration rate from serum creatinina: a new prediction equation Ann Intern Med 130 6 461 470 10075613 1:CAS:528:DyaK1MXitFChs7k%3D (Pubitemid 29135798)
9. Joint Specialty Committee on Renal Medicine of the Royal College of Physicians of London and the Renal Association Chronic kidney disease in adults (2006) UK guidelines for identification, management and referral http://www.renal.org-/CKDguide/full/CKDprintedfullguide.pdf. Accesso 8 agosto 2011
10. A.D. Rule T.S. Larson E.J. Bergstralh, et al. 2004 Using serum creatinine to estimate glomerular filtration rate: accuracy in good health and in chronic kidney disease Ann Intern Med 141 929 937 15611490 1:CAS:528: DC%2BD2MXks1Kmuw%3D%3D
11. A.G. Bostom F. Kronemberg E. Ritz 2002 Predictive performance of renal function equations for patients with chronic kidney disease and normal serum creatinine levels J Am Soc Nephrol 13 2140 2144 12138147 10.1097/01.ASN. 0000022011.35035.F3 1:CAS:528:DC%2BD38Xmt1Ogtr8%3D (Pubitemid 34790792)
12. P. Delanaye E. Cavalier J.M. Krzesinski, et al. 2006 Why the MDRD equation should not be use in patients with normal renal function (and normal creatinine values)? Clin Nephrol 66 147 148 16939074 1:STN:280: DC%2BD28rhsFGmuw%3D%3D (Pubitemid 44219444)
13. A. Almond S. Siddiqui S. Robertson, et al. 2008 Comparison of combined urea and creatinine clearance and prediction equations as measures of residual renal function when GFR is low Q J Med 101 619 624 10.1093/qjmed/hcn032 1:STN:280:DC%2BD1cvnslCktA%3D%3D
14. M. Panteghini 2007 Estimating glomerular filtration rate from serum creatinine measurements: analytical issues and standardization programs RIMeL/IJLaM 3 Suppl 56 60 1:CAS:528:DC%2BD1cXkvVGhtL4%3D (Pubitemid 350144102)
15. G.G. Klee P.G. Schryver A.K. Saenger, et al. 2007 Effects of analytic variations in creatinine measurements on the classification of renal disease using estimated glomerular filtration rate (eGFR) Clin Chem Lab Med 45 6 737 741 17579525 10.1515/CCLM.2007.168 1:CAS:528:DC%2BD2sXnslykt74%3D (Pubitemid 46956241)
16. E.M. Gowans C.G. Fraser 1988 Biological variation of serum and urine creatinine and creatinine clearance: ramifications for interpretation of results and patient care Ann Clin Biochem 25 3 259 263 3400982 1:CAS:528: DyaL1cXktlGlsr0%3D
17. E. Cavalier A.M. Feirir A.M. Delanaye, et al. 2007 Measurement uncertainty of creatinine in low values: another good reason not to use the MDRD formula with low creatinine values Clin Biochem 40 3-4 285 286 17208211 10.1016/j.clinbiochem.2006.10.021 1:CAS:528:DC%2BD2sXntlOnsw%3D%3D (Pubitemid 46108717)
18. A.S. Levey L.A. Stevens C.H. Schmid, et al. 2009 A new equation to estimate glomerular filtration rate Ann Intern Med 150 604 612 19414839
19. L.A. Stevens C.H. Schmid T. Greene, et al. 2010 Comparative performance of the CKD epidemiology collaboration (CKD-EPI) and the modification of diet in renal disease (MDRD) study equations for estimating GFR levels above 60 mL/min/1.73m2 Am J Kidney Dis 56 3 486 495 20557989 10.1053/j.ajkd.2010.03.026
20. L.A. Stevens J. Coresh T. Green A.S. Levey 2006 Assessing kidney function - measured and estimated glomerular filtration rate N Engl J Med 354 2473 2483 16760447 10.1056/NEJMra054415 1:CAS:528:DC%2BD28XlsVaiurk%3D (Pubitemid 43855050)
21. A.S. Levey P.E. De Yong J. Coresh, et al. 2011 The definition, classification and prognosis of chronic kidney disease: a KDIGO Controversies Conference report Kidney Int 80 17 28 21150873 10.1038/ki.2010.483
22. B.R. Hemmelgarn J. Zhang B.J. Manns, et al. 2010 Nephrology visits and health care resource use before and after reporting estimated glomerular filtration rate JAMA 303 1151 1158 20332400 10.1001/jama.2010.303 1:CAS:528:DC%2BC3cXktVWitL0%3D
23. T.H. Hostetter A. Levey L.A. Stevens 2010 Clinical impact of reporting estimated glomerular filtration rates Clin Chem 56 9 1381 1383 20628143 10.1373/clinchem.2010.147827 1:CAS:528:DC%2BC3cXhtFerurzF
24. Y.K. Kagoma M.A. Weir A.V. Iansavichus, et al. 2010 Impact of estimated GFR reporting on patients, clinicians, and health-care systems: a systematic review Am J Kidney Dis 57 4 592 601 21146269 10.1053/j.ajkd.2010.08.029
25. C. De Costner K. McLaughlin T.W. Noseworthy 2010 Criteria for referring patients with renal disease for nephrology consultation: a review of the literature J Nephrol 23 4 399 407
26. H. Pottel F. Martens 2009 Are eGFR equations better than IDMS-traceable serum creatinine in classifying chronic kidney disease? Scand J Clin Lab Invest 69 550 561 19337946 10.1080/00365510902811253 1:CAS:528:DC%2BD1MXhtVOrtrnL
27. K.S. Spanaus B. Kollerits E. Ritz, et al. 2010 Serum creatinine, cystatin C, and beta-trace protein in diagnostic staging and pre-dicting progression of primary nondiabetic chronic kidney disease Clin Chem 56 740 749 20224047 10.1373/clinchem.2009.138826 1:CAS:528:DC%2BC3cXlsFKgtrc%3D
28. P. Cappelletti M. Plebani C. Zoccali 2008 Raccomandazioni intersocietarie sulla valutazione di laboratorio della funzionalità renale RIMeL/IJLaM 4 294 295
29. C. Grillo G. Patrucco 2010 Creatinina e determinazione del filtrato glomerulare: un'indagine regionale Biochim Clin 34 4 269 272
30. F. Ceriotti 2010 Velocità di filtrazione glomerulare stimata (e-GFR): fonte di informazioni o fattore di confusione? Biochim Clin 34 247 249
31. I. Infusino M. Panteghini 2007 Riferibilità metrologica e validità della determinazione della creatinina come indice di funzionalità renale Biochim Clin 31 1 13 18
32. F. Marcarelli D. Chiricone G. Bilancio, et al. 2008 Early identification of kidney disease by eGFR: what is the prevalence of eGFR in the population? J Nephrol 21 13 102 106
33. J.M. Bland D.G. Altman 1986 Statistical methods for assessing agreement between two methods of clinical measurement Lancet 1 8476 307 310 2868172 10.1016/S0140-6736(86)90837-8 1:STN:280:DyaL287hslWqsQ%3D%3D (Pubitemid 16134762)
34. D.S. Tuot L.C. Plantinga C.Y. Hsu, et al. 2011 Chronic kidney disease awareness among individuals with clinical markers of kidney dysfunction Clin J Am Soc Nephrol 6 8 1838 1844 21784832 10.2215/CJN.00730111
35. L.C. Plantinga D.S. Tuot N.R. Powe 2010 Awareness of chronic kidney disease among patients and providers Adv Chronic Kidney Dis 17 3 225 236 20439091 10.1053/j.ackd.2010.03.002
36. M. Cirillo M. Laurenzi M. Mancini, et al. 2006 Low glomerular filtration in the population: prevalence, associated disorders, and awareness Kidney Int 70 4 800 806 16820784 10.1038/sj.ki.5001641 1:CAS:528:DC%2BD28XnvVyltbw%3D (Pubitemid 44215358)
37. R.D. Perrone N.E. Madias A.S. Levey 1992 Serum creatinine as an index of renal function: new insights into old concepts Clin Chem 38 10 1933 1953 1394976 1:CAS:528:DyaK38XmsV2htLs%3D
38. J. Traynor R. Mactier C.C. Geddes 2006 How to measure renal function in clinical practice Br Med J 333 733 737 10.1136/bmj.38975.390370.7C (Pubitemid 44555171)
39. A.A. Soares T.F. Eyff R.B. Campani, et al. 2009 Glomerular filtration rate measurement and prediction equations Clin Chem Lab Med 47 9 1023 1032 19728843 10.1515/CCLM.2009.263 1:CAS:528:DC%2BD1MXht1GjtbjN
40. B.R. Hemmelgarn J. Zhang B.J. Manns, et al. 2010 Nephrology visits and health care resource use before and after reporting estimated glomerular filtration rate JAMA 303 12 1151 1158 20332400 10.1001/jama.2010.303 1:CAS:528:DC%2BC3cXktVWitL0%3D
41. D. Giavarina D.N. Cruz G. Soffiati, et al. 2010 Comparison of estimated glomerular filtration rate (eGFR) using the MDRD and CKD-EPI equations for CKD screening in a large population Clin Nephrol 74 5 358 363 20979944 1:STN:280:DC%2BC3cbislSksA%3D%3D
42. S.L. White K.R. Polkinghorne R.C. Atkins, et al. 2010 Comparison of the prevalence and mortalità risk of CKD in Australia using the CKD epidemiology collaboration (CKD-EPI) and modification of diet in renal disease (MDRD) study GFR estimatine equations: the AusDiab (Australian Diabetes, Obesity and Lifestyle) study Am J Kidney Dis 55 4 660 670 20138414 10.1053/j.ajkd.2009. 12.011
43. A. Lopez-Suarez M. Beltran-Robles J. Rlvira-Gonzalez, et al. 2010 Comparison of the MDRD and the CKD-EPI equations to estimate the glomerular filtration rate in the general population Med Clin (Barc) 134 14 617 623 10.1016/j.medcli.2009.07.055
44. P. Delanaye E. Cavalier C. Marita, et al. 2010 MDRD or CKDEPI study equations for estimative prevalence of stage 3 CKD in epidemiological studies: which difference? Is this difference relevant? BMC Nephrol 11 8 20515483 10.1186/1471-2369-11-8
45. Carter JL, Stevens PE, Irving J et al (2011) Estimating glomerular filtration rate: comparison of the CKD-EPI and MDRD equations in a large UK cohort with particular emphasis on the effect of age. Q J Med. doi: 10.1093/qjmed/hcr077
46. Istat (2010) Statistiche demografiche. http://demo.istat.it/strasa2010/ index.html. [Accesso 21 dicembre 2011]
47. C. Sabanayagam T.Y. Wong E.S. Tai 2009 The CKD-EPI equation and MDRD study equation find similar prevalence of chronic kidney disease in asian populations Ann Int Med 151 12 892 893 20008766
48. B.W. Teo H. Xu D. Wang, et al. 2011 GFR estimating equations in a multiethnic Asian population Am J Kidney Dis 58 1 56 63 21601325 10.1053/j.ajkd.2011.02.393
49. J.B. Eastwood S.M. Kerry J. Plange-Rhule, et al. 2010 Assessment of GFR by four methods in adults in Ashanti, Ghana: the need for an eGFR equation for lean African populations Nephrol Dial Transplant 25 2178 2187 20100724 10.1093/ndt/gfp765
50. P. Delanaye C. Mariat N. Maillard, et al. 2011 Are the creatininebased equations accurate to estimate glomerular filtration rate in African American populations? Clin J Am Soc Nephrol 6 4 906 912 21441133 10.2215/CJN.10931210
51. S. de Lusignan C. Tomson K. Harris, et al. 2011 Creatinine fluctuation has a greater effect than the formula to estimate glomerular filtration rate on the prevalence of chronic kidney disease Nephron Clin Pract 117 3 c213 224 20805694 10.1159/000320341