Original article
Vol. 142 No. 5152 (2012)
Estimation of glomerular filtration rate in hospitalised patients: are we overestimating renal function?
- Michelle Frank
- Sara Guarino-Gubler
- Michel Burnier
- Marc Maillard
- Franco Keller
- Luca Gabutti
Summary
QUESTIONS UNDER STUDY AND PRINCIPLES: Estimating glomerular filtration rate (GFR) in hospitalised patients with chronic kidney disease (CKD) is important for drug prescription but it remains a difficult task. The purpose of this study was to investigate the reliability of selected algorithms based on serum creatinine, cystatin C and beta-trace protein to estimate GFR and the potential added advantage of measuring muscle mass by bioimpedance.
METHODS: In a prospective unselected group of patients hospitalised in a general internal medicine ward with CKD, GFR was evaluated using inulin clearance as the gold standard and the algorithms of Cockcroft, MDRD, Larsson (cystatin C), White (beta-trace) and MacDonald (creatinine and muscle mass by bioimpedance).
RESULTS: 69 patients were included in the study. Median age (interquartile range) was 80 years (73–83); weight 74.7 kg (67.0–85.6), appendicular lean mass 19.1 kg (14.9–22.3), serum creatinine 126 μmol/l (100–149), cystatin C 1.45 mg/l (1.19–1.90), beta-trace protein 1.17 mg/l (0.99–1.53) and GFR measured by inulin 30.9 ml/min (22.0–43.3). The errors in the estimation of GFR and the area under the ROC curves (95% confidence interval) relative to inulin were respectively: Cockcroft 14.3 ml/min (5.55–23.2) and 0.68 (0.55–0.81), MDRD 16.3 ml/min (6.4–27.5) and 0.76 (0.64–0.87), Larsson 12.8 ml/min (4.50–25.3) and 0.82 (0.72–0.92), White 17.6 ml/min (11.5–31.5) and 0.75 (0.63–0.87), MacDonald 32.2 ml/min (13.9‒45.4) and 0.65 (0.52‒0.78).
CONCLUSIONS: Currently used algorithms overestimate GFR in hospitalised patients with CKD. As a consequence eGFR targeted prescriptions of renal-cleared drugs, might expose patients to overdosing. The best results were obtained with the Larsson algorithm. The determination of muscle mass by bioimpedance did not provide significant contributions.
References
- Brändström E, Grzegorczyk A, Jacobsson L, Friberg P, Lindahl A, Aurell M. GFR measurement with iohexol and 51Cr-EDTA. A comparison of the two favoured GFR markers in Europe. Nephrol Dial Transplant. 1998;13(5):1176–82.
- Macunluoğlu B, Gökçe I, Atakan A, Demirci M, Arı E, Topuzoğlu A, Borazan A. A comparison of different methods for the determination of glomerular filtration rate in elderly patients with chronic renal failure. Int Urol Nephrol. 2011;43(1):257–63.
- Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16(1):31–41.
- 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(6):461–70.
- Levey AS, Greene T, Kusek JW, Beck GJ and MDRD Study Group. A simplified equation to predict glomerular filtration rate from serum creatinine. American Society of Nephrology Renal Week, A0828. 2000.
- 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(10):2573–80.
- Fesler P, Mimran A. Estimation of glomerular filtration rate: what are the pitfalls? Curr Hypertens Rep. 2011;13(2):116–21.
- Nicoll SR, Sainsbury R, Bailey RR, King A, Frampton C, Elliot JR, et al. Assessment of creatinine clearance in healthy subjects over 65 years of age. Nephron. 1991;59(4):621–5.
- White CA, Huang D, Akbari A, Garland J, Knoll GA. Performance of creatinine-based estimates of GFR in kidney transplant recipients: a systematic review. Am J Kidney Dis. 2008;51(6):1005–15.
- Poggio ED, Nef PC, Wang X, Greene T, Van Lente F, Dennis VW, et al. Performance of the Cockcroft-Gault and modification of diet in renal disease equations in estimating GFR in ill hospitalized patients. Am J Kidney Dis. 2005;46(2):242–52.
- 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(2):459–66.
- Hoek FJ, Kemperman FA, Krediet RT. A comparison between cystatin C, plasma creatinine and the Cockcroft and Gault formula for the estimation of glomerular filtration rate. Nephrol Dial Transplant. 2003;18(10):2024–31.
- Larsson A, Malm J, Grubb A, Hansson LO. Calculation of glomerular filtration rate expressed in mL/min from plasma cystatin C values in mg/L. Scand J Clin Lab Invest. 2004;64:25–30.
- Tanaka A, Suemaru K, Otsuka T, Ido K, Nishimiya T, Sakai I, et al. Hoek’s formula, a cystatin C-based prediction formula for determining the glomerular filtration rate, is the most effective method for original adjusting the dosage of vancomycin. Int J Clin Pharmacol Ther. 2007;45(11):592–7.
- White C, Akbari A, Hussain N, Dinh L, Filler G, Lepage N, et al. Estimating glomerular filtration rate in kidney transplantation: a comparison between serum creatinine and cystatin C-based methods. J Am Soc Nephrol. 2005;16(12):3763–70.
- Stevens LA, Coresh J, Schmid CH, Feldman HI, Froissart M, Kusek J, et al. Estimating GFR using serum cystatin C alone and in combination with serum creatinine: a pooled analysis of 3,418 individuals with CKD. Am J Kidney Dis. 2008;51(3):395–406.
- Perkins BA, Nelson RG, Ostrander BE, Blouch KL, Krolewski AS, Myers BD, et al. Detection of renal function decline in patients with diabetes and normal or elevated GFR by serial measurements of serum cystatin C concentration: results of a 4-year follow-up study. J Am Soc Nephrol. 2005;16(5):1404-12.
- Coll E, Botey A, Alvarez L, Poch E, Quintó L, Saurina A, et al. Serum cystatin C as a new marker for noninvasive estimation of glomerular filtration rate and as a marker for early renal impairment. Am J Kidney Dis. 2000;36(1):29–34.
- Pöge U, Gerhardt T, Woitas RP. Estimation of Glomerular Filtration Rate by Use of Beta-Trace Protein.Clinical Chemistry. 2008;54:1403–5.
- White CA, Akbari A, Doucette S, Fergusson D, Hussain N, Dinh L, et al. A Novel Equation to Estimate Glomerular Filtration Rate Using Beta-Trace Protein. Clinical Chemistry. 2007;53:1965–8.
- Knight EL, Verhave JC, Spiegelman D, Hillege HL, de Zeeuw D, Curhan GC, et al. Factors influencing serum cystatin C levels other than renal function and the impact on renal function measurement. Kidney Int. 2004;65(4):1416–21.
- Keevil BG, Kilpatrick ES, Nichols SP, Maylor PW. Biological variation of cystatin C: implications for the assessment of glomerular filtration rate. Clin Chem. 1998;44:1535–9.
- Cimerman N, Brguljan PM, Krasovec M, Suskovic S, Kos J. Twenty-four hour variations of cystatin C and total cysteine proteinase inhibitory activity in sera from healthy subjects. Clin Chim Acta. 2000;291:89–95.
- Tan GD, Lewis AV, James TJ, Altmann P, Taylor RP, Levy JC. Clinical usefulness of cystatin C for the estimation of glomerular filtration rate in type 1 diabetes: reproducibility and accuracy compared with standard measures and iohexolclearance. Diabetes Care. 2002;25:2004–9.
- National Kidney Foundation. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis. 2002;39:S1–S266.
- Price CP, Finney H. Developments in the assessment of glomerular filtration rate. Clin Chim Acta. 2000;297(1-2):55–66.
- Coresh J, Toto RD, Kirk KA, Whelton PK, Massry S, Jones C, et al. Creatinine clearance as a measure of GFR in screenees for the African-American Study of Kidney Disease and Hypertension pilot study. Am J Kidney Dis. 1998;32(1):32–42.
- Donadio C, Consani C, Ardini M, Caprio F, Grassi G, Lucchesi A. Prediction of glomerular filtration rate from body cell mass and plasma creatinine. Curr Drug Discov Technol. 2004;1(3):221–8.
- Donadio C, Lucchesi A, Tramonti G, Bianchi C. Creatinine clearance predicted from body cell mass is a good indicator of renal function. Kidney Int Suppl. 1997;63:S166–8.
- Macdonald JH, Marcora SM, Jibani M, Roberts G, Kumwenda MJ, Glover R, et al. Bioelectrical impedance can be used to predict muscle mass and hence improve estimation of glomerular filtration rate in non-diabetic patients with chronic kidney disease. Nephrol Dial Transplant. 2006;21(12):3481–7.
- Macdonald JH, Marcora SM, Kumwenda MJ, Jibani M, Roberts G, Glover R, et al. The relationship between estimated glomerular filtration rate, demographic and anthropometric variables is mediated by muscle mass in non-diabetic patients with chronic kidney disease. Nephrol Dial Transplant. 2006;21(12):3488–94.
- Rolin HA 3rd, Hall PM, Wei R. Inaccuracy of estimated creatinine clearance for prediction of iothalamate glomerular filtration rate. Am J Kidney Dis. 1984;4(1):48–54.
- Schmid P, Fischer AG, Wuillemin WA. Prevalence of impaired renal function in medical inpatients. Swiss Med Wkly. 2007;8;137(35-36):514.
- Buclin T, Pechere-Bertschi A, Sechaud R, Decosterd LA, Munafo A, Burnier M, et al. Sinistrin clearance for determination of glomerular filtration rate: a reappraisal of various approaches using a new analytical method. J Clin Pharmacol. 1997;37:679–92.
- Orlando R, Floreani M, Padrini R, Palatini P. Determination of inulin clearance by bolus intravenous injection in healthy subjects and ascitic patients: equivalence of systemic and renal clearances as glomerular filtration markers. Br J Clin Pharmacol. 1998;46(6):605–9.
- Jung K, Henke W, Schulze BD, Sydow K, Precht K, Klotzek S. Practical approach for determining glomerular filtration rate by single-injection inulin clearance. Clin Chem. 1992;38(3):403–7.
- Wright HK, Gann DS. An automatic anthrone method for the determination of inulin in plasma and urine. J Lab Clin Med. 1966;67:689–93.
- Kotler DP, Burastero S, Wang J, Pierson RN Jr. Prediction of body cell mass, fat-free mass, and total body water with bioelectrical impedance analysis: effects of race, sex, and disease. Am J Clin Nutr. 1996;64(3 Suppl):489S–497S.
- Segal KR, Van Loan M, Fitzgerald PI, Hodgdon JA, Van Itallie TB. Lean body mass estimation by bioelectrical impedance analysis: a four-site cross-validation study. Am J Clin Nutr. 1988;47(1):7–14.
- Kyle UG, Bosaeus I, De Lorenzo AD, Deurenberg P, Elia M, Manuel Gómez J, et al; ESPEN. Bioelectrical impedance analysis-part II: utilization in clinical practice. Clin Nutr. 2004;23(6):1430–53.
- Bland JM, Altman DG. Comparing methods of measurement: why plotting difference against standard method is misleading. Lancet. 1995;346:1085–7.
- Völgyi E, Tylavsky FA, Lyytikäinen A, Suominen H, Alén M, Cheng S. Assessing body composition with DXA and bioimpedance: effects of obesity, physical activity, and age. Obesity (Silver Spring). 2008;16(3):700–5.