Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate

Annals of Internal Medicine

Volumn 145, Issue 4, 2006, Pages 247-254

  Levey, Andrew S ^a   Coresh, Josef ^b   Greene, Tom ^c   Stevens, Lesley A ^a   Zhang, Yaping ^a   Hendriksen, Stephen ^a   Kusek, John W ^d   Van Lente, Frederick ^c  

^a TUFTS MEDICAL CENTER   (United States)

^b DEPARTMENT OF PATHOLOGY   (United States)

^c LERNER RESEARCH INSTITUTE   (United States)

^d NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CREATININE; IOTALAMIC ACID I 125; BIOLOGICAL MARKER;

ARTICLE; CHRONIC KIDNEY DISEASE; CLINICAL FEATURE; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; CREATININE BLOOD LEVEL; DIET SUPPLEMENTATION; DIETARY INTAKE; FEMALE; GLOMERULUS FILTRATION RATE; HUMAN; ISOTOPE DILUTION ASSAY; KIDNEY CLEARANCE; MAJOR CLINICAL STUDY; MALE; MASS SPECTROMETRY; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL; ADULT; BIOLOGICAL MODEL; BLOOD; CHRONIC KIDNEY FAILURE; DIET THERAPY; MIDDLE AGED; MULTICENTER STUDY; PATHOPHYSIOLOGY;

ADULT; BIOLOGICAL MARKERS; CREATININE; FEMALE; GLOMERULAR FILTRATION RATE; HUMANS; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; RANDOMIZED CONTROLLED TRIALS; RENAL INSUFFICIENCY, CHRONIC;

EID: 33747120659     PISSN: 00034819     EISSN: None     Source Type: Journal    
DOI: 10.7326/0003-4819-145-4-200608150-00004     Document Type: Article

References (47)

1. Levey AS, Coresh J, Balk E, Kausz AT, Levin A, Steffes MW, et al. National Kidney Foundation practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Ann Intern Med. 2003;139:137-47.
2. Levey AS, Eckardt KU, Tsukamoto Y, Levin A, Coresh J, Rossert J, 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.
3. National Kidney Foundation. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Kidney Disease Outcome Quality Initiative. Am J Kidney Dis. 2002;(2 Suppl 1):S1-266.
4. Wesson L. Physiology of the Human Kidney. New York: Grune & Stratton; 1969.
5. Siegel N. Renal Express. Accessed at www.asn-online.org/ newsletter/renal_express/2003/03-10_Rxpress.aspx on 23 June 2006.
6. National Kidney Disease Education Program. Information of Health Professionals. Creatinine Standardization Program. Accessed at www.nkdep.nih.gov/labprofessionals/index.htm on 9 February 2006.
7. New Jersey State Senate, 211th Legislature. S2232 Madden, Bryant; 2005:1-2.
8. Mathew TH, Australasian Creatinine Consensus Working Group. Chronic kidney disease and automatic reporting of estimated glomerular filtration rate: a position statement. Med J Aust. 2005;183:138-41.
9. La Caisse Nationale d'Assurance Maladie des Professions Indépendantes. Avenant à la convention nationale des directeurs de laboratoire privé d'analyses médicales. Accessed at www.admi.net/jo/20030227/SANS0320604X.html on 8 November 2004.
10. British Columbia Ministry of Health. Guidelines and Protocols, Advisory Committee. Accessed at www.healthservices.gov.bc.ca/msp/protoguides/ gps/ckd.pdf on 21 October 2005.
11. 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.
12. Levey AS, Greene T, Kusek J, Beck G. A simplified equation to predict glomerular filtration rate from serum creatinine [Abstract]. J Am Soc Nephrol. 2000;11:155A.
13. Stevens LA, Levey AS. Clinical implications of estimating equations for glomerular filtration rate [Editorial]. Ann Intern Med. 2004;141:959-61.
14. Poggio ED, Wang X, Greene T, Van Lente F, Hall PM. 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. J Am Soc Nephrol. 2005;16:459-66.
15. 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.
16. 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.
17. Gonwa TA, Jennings L, Mai ML, Stark PC, Levey AS, Klintmalm GB. Estimation of glomerular filtration rates before and after orthotopic liver transplantation: evaluation of current equations. Liver Transpl. 2004;10:301-9.
18. Froissart 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.
19. Hallan S, Asberg A, Lindberg M, Johnsen H. Validation of the Modification of Diet in Renal Disease formula for estimating GFR with special emphasis on calibration of the serum creatinine assay. Am J Kidney Dis. 2004;44:84-93.
20. Lin J, Knight EL, Hogan ML, Singh AK. A comparison of prediction equations for estimating glomerular filtration rate in adults without kidney disease. J Am Soc Nephrol. 2003;14:2573-80.
21. Bostom AG, Kronenberg F, Ritz E. Predictive performance of renal function equations for patients with chronic kidney disease and normal serum creatinine levels. J Am Soc Nephrol. 2002;13:2140-4.
22. Zuo L, Ma YC, Zhou YH, Wang M, Xu GB, Wang HY. Application of GFR-estimating equations in Chinese patients with chronic kidney disease. Am J Kidney Dis. 2005;45:463-72.
23. Gaspari F, Ferrari S, Stucchi N, Centemeri E, Carrara F, Pellegrino M, et al. Performance of different prediction equations for estimating renal function in kidney transplantation. Am J Transplant. 2004;4:1826-35.
24. Lamb EJ, Webb MC, Simpson DE, Coakley AJ, Newman DJ, O'Riordan SE. Estimation of glomerular filtration rate in older patients with chronic renal insufficiency: is the Modification of Diet in Renal Disease formula an improvement? J Am Geriatr Soc. 2003;51:1012-7.
25. Vervoort G, Willems HL, Wetzels JF. Assessment of glomerular filtration rate in healthy subjects and normoalbuminuric diabetic patients: validity of a new (MDRD) prediction equation. Nephrol Dial Transplant. 2002;17:1909-13.
26. Skluzacek PA, Szewc RG, Nolan CR 3rd, Riley DJ, Lee S, Pergola PE. Prediction of GFR in liver transplant candidates. Am J Kidney Dis. 2003;42:1169-76.
27. Ibrahim H, Mondress M, Tello A, Fan Y, Koopmeiners J, Thomas W. An alternative formula to the Cockcroft-Gault and the Modification of Diet in Renal Diseases formulas in predicting GFR in individuals with type 1 diabetes. J Am Soc Nephrol. 2005;16:1051-60.
28. Rigalleau V, Lasseur C, Perlemoine C, Barthe N, Raffaitin C, Liu C, et al. Estimation of glomerular filtration rate in diabetic subjects: Cockcroft formula or Modification of Diet in Renal Disease study equation? Diabetes Care. 2005;28: 838-43.
29. Pöge U, Gerhardt T, Palmedo H, Klehr HU, Sauerbruch T, Woitas RP. MDRD equations for estimation of GFR in renal transplant recipients. Am J Transplant. 2005;5:1306-11.
30. Grubb A, Björk J, Lindström V, Sterner G, Bondesson P, Nyman U. A cystatin C-based formula without anthropometric variables estimates glomerular filtration rate better than creatinine clearance using the Cockcroft-Gault formula. Scand J Clin Lab Invest. 2005;65:153-62.
31. Fehrman-Ekholm I, Skeppholm L. Renal function in the elderly (>70 years old) measured by means of iohexol clearance, serum creatinine, serum urea and estimated clearance. Scand J Urol Nephrol. 2004;38:73-7.
32. Coresh J, Stevens LA. Kidney function estimating equations: where do we stand? Curr Opin Nephrol Hypertens. 2006;15:276-84.
33. 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.
34. Miller WG, Myers GL, Ashwood ER, Killeen AA, Wang E, Thienpont LM, et al. Creatinine measurement: state of the art in accuracy and interlaboratory harmonization. Arch Pathol Lab Med. 2005;129:297-304.
35. 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.
36. 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.
37. Levey AS, Coresh J, Greene T, Marsh J, Stevens LA, Kusek J, et al. Expressing the MDRD Study equation for estimating GFR with IDMS traceable (gold standard) serum creatinine values [Abstract]. J Am Soc Nephrol. 2005;16:69A.
38. Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16:31-41.
39. 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.
40. Klahr S, Levey AS, Beck GJ, Caggiula AW, Hunsicker L, Kusek JW, et al. The effects of dietary protein restriction and blood-pressure control on the progression of chronic renal disease. Modification of Diet in Renal Disease Study Group. N Engl J Med. 1994;330:877-84.
41. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837-45.
42. Cirillo M, Anastasio P, De Santo NG. Relationship of gender, age, and body mass index to errors in predicted kidney function. Nephrol Dial Transplant. 2005;20:1791-8.
43. Verhave JC, Fesler P, Ribstein J, du Cailar G, Mimran A. Estimation of renal function in subjects with normal serum creatinine levels: influence of age and body mass index. Am J Kidney Dis. 2005;46:233-41.
44. Rule AD, Gussak HM, Pond GR, Bergstralh EJ, Stegall MD, Cosio FG, et al. Measured and estimated GFR in healthy potential kidney donors. Am J Kidney Dis. 2004;43:112-9.
45. Greene T, Li L, Coresh J, Poggio P, Schimd C, Stark P, et al. A statistical explanation for different relationships of serum creatinine (Scr) vs. GFR across populations: preliminary results [Abstract]. J Am Soc Nephrol. 2005;16:319A.
46. Stevens LA, Levey AS. Chronic kidney disease in the elderly - how to assess risk [Editorial]. N Engl J Med. 2005;352:2122-4.
47. Coresh J, Stevens LA, Greene T, Eggers O, Kusek J, Van Lente F, et al. Comparison of GFR estimating equations using serum cystatin and creatinine: a pooled analysis of 1706 individuals [Abstract]. J Am Soc Nephrol. 2005;16:69A.