A Software Upgrade: CKD Testing in 2010

American Journal of Kidney Diseases

Volumn 55, Issue 1, 2010, Pages 8-10

  Becker, Bryan N ^a   Vassalotti, Joseph A ^b  

^a UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^b NATIONAL KIDNEY FOUNDATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CREATININE; CYSTATIN C;

CARDIOVASCULAR RISK; CHRONIC KIDNEY DISEASE; COMPUTER PROGRAM; CREATININE BLOOD LEVEL; CREATININE CLEARANCE; DIET; EDITORIAL; GLOMERULUS FILTRATION RATE; HUMAN; PROGNOSIS; STANDARDIZATION;

DISEASE PROGRESSION; GLOMERULAR FILTRATION RATE; HUMANS; INCIDENCE; KIDNEY FAILURE, CHRONIC; KIDNEY FUNCTION TESTS; MASS SCREENING; SOFTWARE;

EID: 71849115767     PISSN: 02726386     EISSN: None     Source Type: Journal    
DOI: 10.1053/j.ajkd.2009.11.005     Document Type: Editorial

References (32)

1. Levey A.S., Stevens L.A., Schmid C.H., et al. A new equation to estimate glomerular filtration rate. Ann Intern Med 150 (2009) 604-612
2. Vassalotti J.A., Stevens L.A., and Levey A.S. Testing for chronic kidney disease: A position statement from the National Kidney Foundation. Am J Kid Dis 50 (2007) 169-180
3. National Kidney Foundation. KDOQI clinical practice guidelines for chronic kidney disease: evaluation, classification and stratification. Am J Kidney Dis 39 suppl 1 (2002) S1-S266
4. Levey A.S., Bosch J.P., Lewis J.B., Greene T., Rogers N., and 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 130 (1999) 461-470
5. Levey A.S., Coresh J., Greene T., 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 145 (2006) 247-254
6. Cockcroft D.W., and Gault M.H. Prediction of creatinine clearance from serum creatinine. Nephron 16 (1976) 31-41
7. Mitch W.E., Walser M., Buffington G.A., and Lemann Jr. J. A simple method of estimating progression of chronic renal failure. Lancet 2 (1976) 1326-1328
8. Nankivell B.J., Gruenewald S.M., Allen R.D., and Chapman J.R. Predicting glomerular filtration rate after kidney transplantation. Transplantation 59 (1995) 1683-1689
9. Westfall J.M., Mold J., and Fagnan L. Practice-based research-"Blue Highways" on the NIH roadmap. JAMA 297 (2007) 403-406
10. NIH News. Larger labs report kidney function routinely. http://www.nih.gov/news/health/oct2008/niddk-10.htm Accessed November 5, 2009
11. Miller G. Current status of reporting eGFR. http://www.cap.org/apps/docs/committees/chemistry/current_status_reporting_egfr_09.pdf Accessed November 5, 2009
12. Astor B.C., Coresh J., Heiss G., Pettitt D., and Sarnak M.J. Kidney function and anemia as risk factors for coronary heart disease and mortality: the Atherosclerosis Risk in Communities (ARIC) Study. Am Heart J 151 (2006) 492-500
13. Castro A.F., and Coresh J. CKD surveillance using laboratory data from the population-based National Health and Nutrition Examination Survey (NHANES). Am J Kidney Dis 53 suppl 3 (2009) S46-S55
14. Coresh J., and Auguste P. Reliability of GFR formulas based on serum creatinine, with special reference to the MDRD Study equation. Scand J Clin Lab Invest Suppl 241 (2008) 30-38
15. Coresh J., and Stevens L.A. Kidney function estimating equations: where do we stand?. Current Opin Nephrol Hyper 15 (2006) 276-284
16. Levey A.S., 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 53 (2007) 766-772
17. Stevens L.A., Coresh J., Feldman H.I., et al. Evaluation of the modification of diet in renal disease study equation in a large diverse population. J Am Soc Nephrol 18 (2007) 2749-2757
18. Coresh J., Astor B.C., 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 39 (2002) 920-929
19. Stevens L.A., Manzi J., Levey A.S., et al. Impact of creatinine calibration on performance of GFR estimating equations in a pooled individual patient database. Am J Kidney Dis 50 (2007) 21-35
20. Aakre K.M., Tondel C., Brun A., and Svarstad E. The MDRD equation may mask decline of glomerular filtration rate in Fabry patients with normal or nearly normal kidney function. Clinical Nephrol 71 (2009) 118-124
21. Bash L.D., Erlinger T.P., Coresh J., Marsh-Manzi J., Folsom A.R., and Astor B.C. Inflammation, hemostasis, and the risk of kidney function decline in the Atherosclerosis Risk in Communities (ARIC) Study. Am J Kidney Dis 53 (2009) 596-605
22. Inaguma D., Tatematsu M., Shinjo H., et al. Relationship between renal function at the time of percutaneous coronary intervention and prognosis in ischemic heart disease patients. Clinical Exp Nephrol 11 (2007) 56-60
23. Kottgen A., Russell S.D., Loehr L.R., et al. Reduced kidney function as a risk factor for incident heart failure: the atherosclerosis risk in communities (ARIC) study. J Am Soc Nephrol 18 (2007) 1307-1315
24. Obermayr R.P., Temml C., Knechtelsdorfer M., et al. Predictors of new-onset decline in kidney function in a general middle-european population. Nephrol Dial Transplant 23 (2008) 1265-1273
25. Ravera M., Noberasco G., Re M., et al. Chronic kidney disease and cardiovascular risk in hypertensive type 2 diabetics: a primary care perspective. Nephrol Dial Transplant 24 (2009) 1528-1533
26. Eckardt K.-U., Berns J.S., Rocco M.V., and Kasiske B.L. Definition and classification of CKD: the debate should be about patient prognosis-a position statement from KDOQI and KDIGO. Am J Kidney Dis 53 (2009) 915-920
27. Delanaye P., Cavalier E., Saint-Remy A., Lutteri L., and Krzesinski J.M. Discrepancies between creatinine-based and cystatin C-based equations in estimating prevalence of stage 3 chronic kidney disease in an elderly population. Scand J Clin Lab Invest 69 (2009) 344-349
28. Hojs R., Bevc S., Ekart R., Gorenjak M., and Puklavec L. Serum cystatin C-based equation compared to serum creatinine-based equations for estimation of glomerular filtration rate in patients with chronic kidney disease. Clinical Nephrol 70 (2008) 10-17
29. Rigalleau V., Beauvieux M.C., Le Moigne F., et al. Cystatin C improves the diagnosis and stratification of chronic kidney disease, and the estimation of glomerular filtration rate in diabetes. Diabetes Metab 34 (2008) 482-489
30. Sato H., Kazama J.J., Kuroda T., Narita I., Nakano M., and Gejyo F. Serum cystatin C measured by a sol particle homogeneous immunoassay can accurately detect early impairment of renal function. Clinical Exp Nephrol 12 (2008) 270-276
31. Tidman M., Sjostrom P., and Jones I. A comparison of GFR estimating formulae based upon s-cystatin C and s-creatinine and a combination of the two. Nephrol Dial Transplant 23 (2008) 154-160
32. Vupputuri S., Fox C.S., Coresh J., Woodward M., and Muntner P. Differential estimation of CKD using creatinine- versus cystatin C-based estimating equations by category of body mass index. Am J Kidney Dis 53 (2009) 993-1001