Prediction of relative glomerular filtration rate in adults: New improved equations based on Swedish Caucasians and standardized plasma‐creatinine assays

References

• Sarnak M. J., Levey A. S., Schoolwerth A. C., Coresh J., Culleton B., Hamm L. L., et al. American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention. Kidney disease as a risk factor for development of cardiovascular disease: a statement from the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention. Circulation 2003; 108: 2154–69
   PubMed Web of Science ®Google Scholar
• National Kidney Foundation. K/DOQI clinical practice guidelines on chronic kidney disease: evaluation, classification and stratification., Am J Kidney Dis. 39. S1–226
   Google Scholar
• Frennby B., Sterner G. Contrast media as markers of GFR. Eur Radiol 2002; 12: 475–84
   PubMed Web of Science ®Google Scholar
• Perrone R. D., Madias N. E., Levey A. S. Serum creatinine as an index of renal function: new insights into old concepts. Clin Chem 1992; 38: 1933–53
   PubMed Web of Science ®Google Scholar
• Stevens L. A., Coresh J., Greene T., Levey A. S. Assessing kidney function – measured and estimated glomerular filtration rate. N Engl J Med 2006; 354: 2473–83
   PubMed Web of Science ®Google Scholar
• Levey A. S., Bosch J. P., Lewis J. B., 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
   PubMed Web of Science ®Google Scholar
• Levey A. S., Grene T., Kusek J. W., Beck G. J. A simplified equation to predict glomerular filtration rate from serum creatinine [abstract]. J Am Soc Nephrol 2000; 11: 0828A
   PubMed Web of Science ®Google Scholar
• Myers G. L., Miller W. G., Coresh J., Fleming J., Greenberg N., Greene T., et al. National Kidney Disease Education Program Laboratory Working Group. 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
   PubMed Web of Science ®Google Scholar
• National Kidney Disease Education Program (NKDEP). Rationale for use and reporting of estimated GFR. Available at: http://www.nkdep.nih.gov/professionals/estimated_gfr.pdf (accessed 27.11.2006)
   Google Scholar
• Bostom A. G., 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
   PubMed Web of Science ®Google Scholar
• Vervoort G., Willems H. L., Wetzels J. F. 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
   PubMed Web of Science ®Google Scholar
• Rule A. D., Gussak H. M., Pond G. R., Bergstralh E. J., Stegall M. D., Cosio F. G., et al. Measured and estimated GFR in healthy potential kidney donors. Am J Kidney Dis 2004; 43: 112–9. Erratum in: Am J Kidney Dis 2004;44:1126 and 2005;46:170
   PubMed Web of Science ®Google Scholar
• Lin J., Knight E. L., Hogan M. L., Singh A. K. A comparison of prediction equations for estimating glomerular filtration rate in adults without kidney disease. J Am Soc Nephrol 2003; 14: 2573–80. Erratum in: J Am Soc Nephrol 2005;16:2814
   PubMed Web of Science ®Google Scholar
• Rule A. D., Larson T. S., Bergstralh E. J., Slezak J. M., Jacobsen S. J., Cosio F. G. Using serum creatinine to estimate glomerular filtration rate: accuracy in good health and in chronic kidney disease. Ann Intern Med 2004; 141: 929–37
   PubMed Web of Science ®Google Scholar
• Kemperman F. A., Krediet R. T., Arisz L. Formula‐derived prediction of the glomerular filtration rate from plasma creatinine concentration. Nephron 2002; 91: 547–58
   PubMed Web of Science ®Google Scholar
• Wuyts B., Bernard D., Van den Noortgate N., Van de Walle J., Van Vlem B., De Smet R., et al. Re‐evaluation of formulas for predicting creatinine clearance in adults and children, using compensated creatinine methods. Clin Chem 2003; 49: 1011–14
   PubMed Web of Science ®Google Scholar
• Levey A. S., Coresh J., Greene T., Marsh J., Stevens L. A., Kusek J., et al. Expressing the MDRD study equation or estimating GFR with IDMS traceable (gold standard) serum creatinine values. J Am Soc Nephrol 2005; 16: 69A (abstract)
   Google Scholar
• Levey A. S., Coresh J., Greene T., Stevens L. A., Zhang Y. L., Hendriksen S., et al. Chronic Kidney Disease Epidemiology Collaboration. Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med 2006; 145: 247–54
   PubMed Web of Science ®Google Scholar
• Nordic Reference Interval Project (NORIP). Available at: http://www.furst.no/norip/ (accessed 27.112006)
   Google Scholar
• Rustad P., Felding P., Franzson L., Kairisto V., Lahti A., Mårtensson A., et al. The Nordic Reference Interval Project 2000: recommended reference intervals for 25 common biochemical properties. Scand J Clin Lab Invest 2004; 64: 271–84
   PubMed Web of Science ®Google Scholar
• Mårtensson A., Rustad P., Lund H., Ossowicki H. Creatinium reference intervals for corrected methods. Scand J Clin Lab Invest 2004; 64: 439–42
   PubMed Web of Science ®Google Scholar
• Bossuyt P. M., Reitsma J. B., Bruns D. E., Gatsonis C. A., Glasziou P. P., Irwig L. M., et al. Standards for Reporting of Diagnostic Accuracy. The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Clin Chem 2003; 49: 7–18
   PubMed Web of Science ®Google Scholar
• Jacobsson L. A method for calculation of renal clearance based on a single plasma sample. Clin Physiol 1983; 3: 297–305
   PubMedGoogle Scholar
• Krutzen E., Bäck S. E., Nilsson‐Ehle I., Nilsson‐Ehle P. Plasma clearance of a new contrast agent, iohexol: a method for the assessment of glomerular filtration rate. J Lab Clin Med 1984; 104: 955–61
   PubMed Web of Science ®Google Scholar
• Bäck S. E., Krutzen E., Nilsson‐Ehle P. Contrast media as markers for glomerular filtration: a pharmacokinetic comparison of four agents. Scand J Clin Lab Invest 1988; 48: 247–53
   PubMed Web of Science ®Google Scholar
• Sterner G., Frennby B., Hultberg B., Almen T. Iohexol clearance for GFR‐determination in renal failure – single or multiple plasma sampling?. Nephrol Dial Transplant 1996; 11: 521–5
   PubMed Web of Science ®Google Scholar
• Nilsson‐Ehle P. Iohexol clearance for the determination of glomerular filtration rate: 15 years' experience in clinical practice. eJIFCC 2002;13. Available at: http://www.ifcc.org/ejifcc/vol13no2/130201005.pdf (accessed 27.11.2006)
   Google Scholar
• DuBois D., DuBois E. F. A formula to estimate the approximate surface area if height and weight be known. Arch Intern Med 1916; 17: 863–71
   Google Scholar
• Spinler S. A., Nawarskars J. J., Connors J. E., Charland S. L., Goldfarb S., for the Iohexol Cooperative Study Group. Predictive performance of ten equations for estimating creatinine clearance in cardiac patients. Ann Pharmacother 1998; 32: 1275–83
   PubMed Web of Science ®Google Scholar
• Manjunath G., Sarnak M. J., Levey A. S. Prediction equations to estimate glomerular filtration rate: an update. Curr Opin Nephrol Hypertens 2001; 10: 785–92
   PubMed Web of Science ®Google Scholar
• Morgan D. J., Bray K. M. Lean body mass as a predictor of drug dosage. Clin Pharmacokinet 1994; 26: 292–307
   PubMed Web of Science ®Google Scholar
• Nyman U., Bjork J., Sterner G., Back S. E., Carlson J., Lindstrom V., et al. Standardization of P‐creatinine assays and use of lean body mass allow improved prediction of calculated glomerular filtration rate in adults: a new equation. Scand J Clin Lab Invest 2006; 66: 451–68
   PubMed Web of Science ®Google Scholar
• Ross J. W., Miller W. G., Myers G. L., Praestgaard J. The accuracy of laboratory measurements in clinical chemistry: a study of 11 routine chemistry analytes in the College of American Pathologists Chemistry Survey with fresh frozen serum, definitive methods, and reference methods. Arch Pathol Lab Med 1998; 122: 587–608
   PubMed Web of Science ®Google Scholar
• Coresh J., Astor B. C., 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
   PubMed Web of Science ®Google Scholar
• Poggio E. D., Wang X., Greene T., Van Lente F., Hall P. M. 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
   PubMed Web of Science ®Google Scholar
• Verhave J. C., Gansevoort R. T., Hillege H. L., De Zeeuw D., Curhan G. C., De Jong P. E. Drawbacks of the use of indirect estimates of renal function to evaluate the effect of risk factors on renal function. J Am Soc Nephrol 2004; 15: 1316–22
   PubMed Web of Science ®Google Scholar
• Odlind B., Hällgren R., Sohtell M., Lindström B. Is 125‐i‐iothalamate an ideal marker for glomerular filtration. Kidney Int 1985; 27: 9–16
   PubMed Web of Science ®Google Scholar
• Bäck S. ‐E., Krutzén E., Nilsson‐Ehle P. Contrast media and glomerular filtration: Dose dependence of clearance for three agents. J Pharm Sci 1988; 77: 765–7
   PubMed Web of Science ®Google Scholar
• Cirillo M., Anastasio P., De Santo N. G. Relationship of gender, age, and body mass index to errors in predicted kidney function. Nephrol Dial Transpl 2005; 20: 1791–8
   PubMed Web of Science ®Google Scholar
• Kvist H., Adipose tissue volume determinations by computed tomography [Thesis], University of Göteborg, Sweden 1988 (ISBN 91‐7900‐556‐X)
   Google Scholar
• Jagenburg R., Attman P. ‐O., Aurell M., Bucht H. Determination of glomerular filtration rate in advanced renal insufficiency. Scand J Urol Nephrol 1978; 12: 133–7
   PubMed Web of Science ®Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Devine B. J. Clinical pharmacy case studies. Case number 25. Gentamycin therapy. Drug Intell Clin Pharm 1974; 8: 650–5
   Google Scholar
• Heymsfield S. B., Arteaga C., McManus C., Smith J., Moffitt S. Measurement of muscle mass in humas: validity of the 24 hour urinary creatinine excretion. Am J Clin Nutr 1983; 37: 478–94
   PubMed Web of Science ®Google Scholar
• Pizzi R. NKDEP launches creatinine standardization program. Why labs should recalibrate serum creatinine methods, report estimated GFRs. Clin Lab News 2006; 32: 6–8
   Google Scholar
• Cockcroft D. W., Gault M. H. Prediction of creatinine clearance from serum creatinine. Nephron 1976; 16: 31–41
   PubMed Web of Science ®Google Scholar
• Stevens LA, Levey AS. 2004. Frequently asked questions about GFR estimates. National Kidney Foundation. Available at: http://www.kidney.org/professionals/kls/pdf/faq_gfr.pdf (accessed 27.11.2006)
   Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Grubb A., Nyman U., Björk J., Lindström V., Rippe B., Sterner G., et al. Simple cystatin C‐based prediction equations for glomerular filtration rate compared to the modification of diet in renal disease (MDRD) prediction equation for adults and to the Schwartz and the Counahan–Barratt prediction equations for children. Clin Chem 2005; 51: 1420–31
   PubMed Web of Science ®Google Scholar