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2016, Number 2

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RCAN 2016; 26 (2)

Height or body weight? On the anthropometric indicator used for normalizing equations for predicting urine excretion of a substance

Muñiz SM, Cardona GY, Santana PS, Salabarría GJR

Language: Spanish
References: 19
Page: 297-311
PDF size: 452.81 Kb.


ABSTRACT

Rationale: Urine excretion of a substance sust can be estimated from the Csust/OCre index after being adjusted for endogenous Creatinine (Cre). Endogenous generation of Creatinine can be approximated either from subject´s height or weight. The case is presented for 24 hours Proteinuria. Objective: To assess the performance of predictive equations of 24 hours Proteinuria with either height or weight as anthropometric normalizer. Study serie: Ninetyfive patients (Males: 57.8%; Average age: 39.9 ± 14.8 years) assisted at Clinical Laboratory Service of a hospital providing health care to military personnel. Material and method: 24 hours Proteinuria was estimated from Total Proteins (OProt) and creatinine (OCre) concentrations measured in a morning urine sample by means of equations based on body weight following Cockcroft & Gault (1976) and Mañalich et al. (1993); or modeled upon height according with Walser (1987), Bistrian (1987) and Santana Porbén (2014). Results: 24 hours Proteinuria estimated values were lower than observed ones. In addition, rate of 24 hours Proteinuria › 0.15 g.24 hours-1 as estimated with urine morning samples was always lower than the observed with urine collections. These differences disappeared for preserved values of body weight. Discussion: Effectiveness of predictive equations based on height might be affected by subject´s muscularity. Excessive body weight found in Cuban population might bias estimation of 24 hours Proteinuria. Conclusions: At present it does not seem use of either of the anthropometric normalizer would result in a higher diagnostic effectiveness of the predictive equations for 24 hours Proteinuria.


REFERENCES

  1. Salabarría González JR, Santana Porbén S, Liriano Ricabal MR. Excreción urinaria de una sustancia predicha del índice sustancia-creatinina. Rev Latinoam Patol Clin Med Lab 2015; 62:119-26.

  2. Salabarría González JR, Blanco Mesa B, Santana Porbén S, Giraudy Chávez A, Díaz Vázquez M, Balmaseda Bataille I. Excreción urinaria de una sustancia estimada del índice sustancia-creatinina. Su aplicabilidad en adultos. Nefrología Mexicana 2016. Remitido para publicación.

  3. Salabarría González JR, Blanco Mesa B, Santana Porbén S, Giraudy Chávez A, Díaz Vázquez M, Balmaseda Bataille I. El peso corporal en la normalización de las ecuaciones predictivas de la excreción urinaria de una sustancia en adultos. Nefrología Mexicana 2016. Remitido para publicación.

  4. Acosta Jiménez SM, Rodríguez Suárez A, Díaz Sánchez ME. La obesidad en Cuba. Una mirada a su evolución en diferentes grupos poblacionales. RCAN Rev Cubana Aliment Nutr 2013;23: 297-308.

  5. Mañalich R, Fraxedas R, Reyes L, Zayas F, Jiménez P, González I, Smith M. La cuantificación de la función renal. Un problema actual de la Nefrología clínica. Nefrología [España] 1993;13(Supl 5): 60-5.

  6. Santana Porbén S. Sobre los intervalos locales de referencia de la excreción urinaria de creatinina para los adultos atendidos en un hospital terciario. RCAN Rev Cubana Aliment Nutr 2015;25(1 Supl):S91- S101.

  7. Cardona González Y. Estimación de la proteinuria de 24 horas a partir del índice proteína/creatinina en adultos. Tesis de Terminación de Residencia en Laboratorio Clínico. Ministerio de Salud Pública. La Habana: 2013.

  8. DuBois D, DuBois EF. The measurement of the surface area of man. Arch Intern Med 1915;15:868-81.

  9. WHO Working Group. Use and interpretation of anthropometric indicators of nutritional status. Bulletin of the World Health Organization 1986;64:929-41.

  10. Bartels H, Cikes M. Ueber Chromogene der Kreatininbestimmung nach Jaffé [Chromogens in the creatinine determination of Jaffé]. Clin Chim Acta 1969;26:1-10 [Article originally published in German].

  11. Cohen PE, Lehman Jr J. The role of the laboratory in the evaluation of kidney function. Clin Chem 1991;37:785-96.

  12. Walser M. Creatinine excretion as a measure of protein nutrition in adults of varying age. JPEN J Parenter Enteral Nutr 1987;11(Suppl):73S-85S.

  13. Bistrian BR: Evaluación de la desnutrición proteica-energética en los pacientes quirúrgicos. En: Nutrición en el paciente quirúrgico [Editor: Hill GL]. Salvat Editores SA. Barcelona: 1985. pp 45.

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

  15. Santana Porbén S, Martínez Canalejo H. Manual de procedimientos bioestadísticos. EAE Editorial Académica Española. Segunda edición. Madrid: 2012. ISBN-13: 9783659059629. ISBN-10: 3659059625.

  16. Bland JM, Altman D. Statistical methods for assessing agreement between two methods of clinical measurement. The Lancet 1986;327(8476):307-10.

  17. Salabarría González JR, Santana Porbén S, Liriano Ricabal MR. Excreción urinaria de una sustancia predicha de la densidad urinaria. Rev Latinoam Patol Clín Med Lab 2015;62:163-73.

  18. Yanovski SZ, Heymsfield SB, Lukaski HC. Bioelectrical impedance analysis. Am J Clin Nutr 1996;64:387-532.

  19. Flury S, Trachsler J, Schwarz A, Ambühi PM. Quantification of excretory renal function and urinary protein excretion by determination of body cell mass using bioimpedance analysis. BMC Nephrol 2015;16:174. DOI: 10.1186/s12882-015- 0171-9.




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