On the Urinary Excretion of a Substance as Predicted from the Substance-to-Creatinine Ratio
European Journal of Clinical and Biomedical Sciences
Volume 5, Issue 1, February 2019, Pages: 1-4
Received: Dec. 4, 2018; Accepted: Jan. 15, 2019; Published: Jan. 31, 2019
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Authors
Sergio Santana Porbén, Clinical Laboratory Service, “Juan Manuel Márquez” Pediatric Teaching Hospital, Marianao, Havana City, CUBA
José Reynaldo Salabarría González, Clinical Laboratory Service, “Juan Manuel Márquez” Pediatric Teaching Hospital, Marianao, Havana City, CUBA
María Del Rosario Liriano Ricabal, Clinical Laboratory Service, “Juan Manuel Márquez” Pediatric Teaching Hospital, Marianao, Havana City, CUBA
Susana Quiñones Vázquez, Clinical Laboratory Service, “Juan Manuel Márquez” Pediatric Teaching Hospital, Marianao, Havana City, CUBA
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Abstract
Equations predicting the urinary excretion of a substance of interest have been developed from a deterministic model linking substance-to-creatinine ratio with expected creatinine output for sex and age. Developed predictive equations show ≥ 80% accuracy and ≥ 90% agreement with traditional, established methods recurring to 24 hours urine collections. Clinical usefulness of the predictive equations has been validated in the study of calcium metabolism disorders. Predictive equations can be expanded to accommodate the specific gravity and osmolarity of urine. Predictive equations discussed in this essay have opened new windows in the assessment of kidney function and metabolic disorders. It is expected these predictive equations to secure a higher compliance of kidney assessment tests in children and adolescents.
Keywords
Substance-to-Creatinine Ratio, Creatinine, Diagnostic Agreement, Analytical Accuracy, 24 Hours Urine
To cite this article
Sergio Santana Porbén, José Reynaldo Salabarría González, María Del Rosario Liriano Ricabal, Susana Quiñones Vázquez, On the Urinary Excretion of a Substance as Predicted from the Substance-to-Creatinine Ratio, European Journal of Clinical and Biomedical Sciences. Vol. 5, No. 1, 2019, pp. 1-4. doi: 10.11648/j.ejcbs.20190501.11
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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