medigraphic.com
ISSN 1561-302X (Print)

2014, Number 3

<< Back Next >>

Rev cubana med 2014; 53 (3)

Stimation of renal function from serum creatinine and predictive formulas in Cuban population with lithiasic

González GE, Bacallao MRA, Gutiérrez GF, Mañalich CR

Language: Spanish
References: 27
Page: 254-265
PDF size: 177.59 Kb.


ABSTRACT

Introduction: renal function may be estimated from serum creatinine or with prediction formulas. Hence the importance of being aware of the usefulness of these methods.
Objective: determine the validity of serum creatinine and the reliability of renal function estimation formulas.
Methods: a cross-sectional study was conducted of 6 290 patients with urolithiasis (4 133 male and 2 157 female -65.7% and 34.3 %, respectively-) undergoing metabolic studies at the Institute of Nephrology from 2006 to 2011. Data were processed with the statistical software SPSS version 15.0. ROC curves were used to evaluate the diagnostic capacity of serum creatinine. Reliability of the formulas was assessed with Bland-Altman plots.
Results: the formulas with the smallest mean difference with respect to creatinine clearance were the following: for ERC (GFR ≤ 90 mL/min/1.73 m2): Cockcroft-Gault (3.81 mL/min/1.73 m2; DE 19.20 mL/min/1.73 m2), Salazar-Corcoran (-4.47 mL/min/1.73 m2; DE 18.40 mL/min/1.73 m2) and Levey (MDRD) (4.69 mL/min/1.73 m2; DE 13.75 mL/min/1.73 m2) and for IRC (GFR ‹ 60 mL/min/1.73 m22): Levey (MDRD) (1.39 mL/min/1.73 m2; DE 10.22 mL/min/1.73 m2), Jelliffe 1 973 (2.15 mL/min/1.73 m2; DE 10.87 mL/min/1.73 m2) and Salazar-Corcoran (-4.47 mL/min/1.73 m2; DE 18.40 mL/min/1.73 m2). The Baracskay formula showed the greatest mean difference (-9.67 mL/min/1.73m2; DE 17.04 mL/min/1.73 m2). Optimal cutoff value for serum creatinine in ERC was 1.07 mg/dL and 0.89 mg/dL for men and women, respectively.
Conclusions: results suggest that the reliability of prediction formulas is high, except for Baracskay's, which is used in elderly patients.


REFERENCES

  1. National Kidney Foundation K/DOQI Clinical Practice Guidelines for Chronic Kidney. Disease: evaluation, classification, and stratification. Am J Kidney Dis. 2002;39(1):1.

  2. Israni AK, Kasiske BL. Laboratory Assessment of Kidney Disease: Glomerular Filtration Rate, Urinalysis, and Proteinuria. En: Brenner BM. The Kidney. 9 ed. Philadelphia: Elsevier Health Sciences; 2011. p. 1585-619.

  3. Seller G, Herrera ME, Maynar J, Sánchez JA, Marinho A, do Pico JL. Estimating kidney function in the critically ill patients. Crit Care Res Pract. 2013;10:12-8.

  4. Lee D, Levin A, Roger S, McMahon L. Longitudinal analysis of performance of estimated glomerular filtration rate as renal function declines in chronic kidney disease. Nephrol Dial Transplant. 2009;24:109-16.

  5. Rodrigo MP, Andrés MR. Detección de insuficiencia renal oculta en consulta de atención primaria mediante la aplicación de la ecuación MDRD abreviada: análisis de 1000 pacientes. Nefrol. 2008;26(3):339-43.

  6. Lin J, Knight EL, lazaras JM, Lousie EG. A comparison of prediction for equation glomerular filtration rate in adults without kidney disease. J Am Soc Nephrol. 2003;14:2573-80.

  7. Bonsnes RW, Taussky HH. On the colorimetric determination of creatinine by Jaffé reaction. K Biol Chem. 1995;581:158-63.

  8. Dubois D, Dubois EF. A formula to estimate the approximate surface area if height and weight be known. Arch Intern Med. 1916;17:863-71.

  9. National Institute for Health and Clinical Excellence. Chronic Kidney Disease: National Clinical Guideline for Early Identification and Management in Adults in Primary and Secundary Care. Clinical Guideline. 2008 [citado 25 Abr 2013];73. Disponible en: http://www.nice.org.uk/pdf

  10. Bacallao Méndez RA, Mañalich Comas R, Bikbov B, Vázquez ME, Gaspari F, Perico N, et al. A new equation to predict creatinine clearance in the Cuban population. Clinical Nephrology. 2010,74:171-5.

  11. Stevens LA, Schmid CH, Greene T, Zhang YL, Beck GJ, Froissart M, et al. 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/1,73 m2. Am J Kidney Dis. 2010;56(3):486-95.

  12. Salazar DE, Corcoran GB. Predicting creatinine clearance and renal drug clearance in obese patients from estpimmated fat-free body mass. Am J Med. 1988;84(6):1053-60.

  13. Levey AS, Bosh JP, Breyer JA, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation derived from the Modification of Diet in Renal Disease Study. Ann Intern Med. 1999;130:461-70.

  14. Jelliffe RW. Creatinine clearance: bedside estimate. Ann Intern Med. 1973;79:604-05.

  15. Cockroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16:31-41.

  16. Bjornsson TD, Cocchetto DM, McGowan FX, Verghese CP, Sedor F. Nomogram for estimating creatinine clearance. Clin Pharmacokinet. 1983;8:365-69.

  17. Baracskay D, Jarjoura D, Cugino A, Blend D, Rutecki GW, Whittier FC. Geriatric renal function: estimating glomerular filtration in an ambulatory elderly population. Clin Nephrol. 1997;47(4):222-8.

  18. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307-10.

  19. Reyes L, Mirabal M, Mañalich R, Almaguer M. Estudio comparativo del comportamiento clínico epidemiológico de la urolitiasis en dos poblaciones diferentes de Cuba. Rev Port Nefrol Hipert. 2004;18(3):155-65.

  20. Cuba. Censo de Población y Vivienda, 2002 [serie en Internet]. [citado 25 Abr 2013] Disponible en: http://www.eclac.cl/badestat/anuario/fuentes_sources.pdf

  21. Jiménez Acosta S, Díaz ME, Barroso I, Bonet M, Cabrera A, Wong I. Estado nutricional de la población cubana adulta. Rev Esp Nutr Comunitaria. 2005;11(1):18-26.

  22. Curhan GC. Body size and risk of kidney stones. J Am Soc Nephol. 1998;9:1645.

  23. Massimo C, Anastasio P, De Santo N. Relationship of gender, age, and body mass index to errors in predicted kidney function. Nephrol Dial Transplant. 2005;20:1791-98.

  24. Earley A, Miskulin D, Lamb EJ, Levey AS, Uhlig K. Estimating equations for glomerular filtration rate in the era of creatinine standardization: a systematic review. Ann Intern Med. 2012;156(11):785-95.

  25. Guilargo I, Calvo J, Gómez C, Cañón L, Robles N, Angulo F. Comparación y concordancia de las ecuaciones de filtrado glomerular de Cockcroft-Gault y MDRD en diagnóstico de enfermedad renal crónica oculta. Nefrología. 2008;28(3):301-10.

  26. Heymsfield SB, Arteaga C, McManus C, Smith J, Moffitt S. Measurement of muscle mass in humans: validity of the 24-hour urinary creatinine method. Am J Clin Nutr. 1983;37:478-94.

  27. Alston H. Conservative care for end-stage kidney disease: joint medical conference with the Renal Association, British Geriatrics Society and Association for Palliative Medicine. Clin Med. 2013;13(4):383-6.




2020     |     www.medigraphic.com