On the Urinary Excretion of a Substance as Predicted from the Substance-to-Creatinine Ratio

Sergio Santana Porbén; José Reynaldo Salabarría González; María Del Rosario Liriano Ricabal; Susana Quiñones Vázquez

doi:doi:10.11648/j.ejcbs.20190501.11

| Peer-Reviewed |

On the Urinary Excretion of a Substance as Predicted from the Substance-to-Creatinine Ratio

Sergio Santana Porbén, José Reynaldo Salabarría González, María Del Rosario Liriano Ricabal, Susana Quiñones Vázquez

Received: 4 December 2018 Accepted: 15 January 2019 Published: 31 January 2019

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

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.

DOI	10.11648/j.ejcbs.20190501.11
Published in	European Journal of Clinical and Biomedical Sciences (Volume 5, Issue 1, February 2019)
Page(s)	1-4
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Substance-to-Creatinine Ratio, Creatinine, Diagnostic Agreement, Analytical Accuracy, 24 Hours Urine

References

[1]	Levey AS, Madaio MP, Perrone RD. Laboratory assessment of renal disease. In: The Kidney [Editors: Brenner BM, Rector Jr FC]. Fourth Edition. WB Saunders. Philadelphia: 1990. pp 919-68.
[2]	Cohen PE, Lehman Jr J. The role of the Laboratory in the evaluation of kidney function. Clin Chem 1991; 37: 785-96.
[3]	Cameron JS. Renal function testing. In: Textbook of Clinical Nephrology. Oxford University. London: 1992. pp 2449.
[4]	Caleffi A, Manoni F, Alessio MG, Ottomano C, Lippi G. Quality in extra-analytical phases of urinanalysis. Biochem Med [Zagreb] 2010; 20: 179-83.
[5]	Miler M, Simundić AM. Low level of adherence to instructions for 24-hour urine collection among hospital outpatients. Biochem Med [Zagreb] 2013; 23: 316-20.
[6]	Tormo C, Lumbreras B, Santos A, Romero L, Conca M. Strategies for improving the collection of 24-hour urine for analysis in the clinical laboratory: Redesigned instructions, opinion surveys, and application of reference change value to micturition. Arch Pathol Lab Med 2009; 133: 1954-60.
[7]	Graves C, Saffle J, Morris S. Comparison of urine urea nitrogen collection times in critically ill patients. Nutr Clin Pract 2005; 20: 271-5.
[8]	Ford EG, Jennings LM, Andrassy RJ. Hourly urine nitrogen values do not reflect 24-hour totals in injured children. Nutr Clin Pract 1987; 2: 195-8.
[9]	Ginsberg JM, Chang BS, Matarase RA, Garella S. Use of single voided urine samples to estimate quantitative proteinuria. N Engl J Med 1983; 309: 1543-6.
[10]	Lehman JJ, Doumas BT. Proteinuria in health and disease assessed by measuring the urinary protein/creatinine ratio. Clin Chem 1987; 33: 297-9.
[11]	Price CP, Newall RG, Boyd JC. Use of protein: creatinine ratio measurements on random urine samples for prediction of significant proteinuria: A systematic review. Clin Chem 2005; 51: 1577-86.
[12]	Pathania M, Rathaur VK, Yadav N, Jayara A, Chaturvedi A. Quantitative micro-albuminuria assessment from “random voided urinary albumin: creatinine ratio” versus “24 hours urinary albumin concentration” for screening of diabetic nephropathy. J Clin Diagn Res 2013; 7: 2828-31.
[13]	Matos V, van Melle G, Boulat O, Markert M, Bachmann C, Guignard JP. Urinary phosphate/creatinine, calcium/creatinine and magnesium/creatinine ratios in a healthy pediatric population. J Pediatr 1997; 131: 252-7.
[14]	Gokce C, Gokce G, Baydine C. Use of random urine samples to estimate total urinary calcium and phosphate excretion. Arch Intern Med 1991; 151: 1587-8.
[15]	Parekh DJ, Pope JC, Adams MC, et al. The association of an increased urinary calcium-to-creatinine ratio and asymptomatic gross and microscopic hematuria in children. J Urology. 2002; 167: 272-4.
[16]	Salabarría JS, González M, Costa E, Montoto A, Blanco B. Nueva fórmula matemática para el cálculo de la proteinuria de 24 horas en niños. Rev Cubana Pediatr 1996; 68: 99-104.
[17]	Salabarría-González JR, Santana-Porbén S, Liriano-Ricabal MR. Excreción urinaria de una sustancia predicha del índice de excreción. Rev Latinoam Patol Clín Med Lab 2015; 62: 120-7. Available at: http://www.medigraphic.com/pdfs/patol/pt-2015/pt152h.pdf. Last visited on: Saturday, November 24th, 2018.
[18]	Stroobants AK, Goldschmidt HMJ, Plebani M. Error budget calculations in laboratory medicine: Linking the concepts of biological variation and allowable medical errors. ClinChim Acta2003; 333: 169-76.
[19]	Whiting P, Rutjes AW, Dinnes J, Reitsma J, Bossuyt PM, Kleijnen J. Development and validation of methods for assessing the quality of diagnostic accuracy studies. Health Tech Assess 2004; 8 (25): iii-1. Available at: https://www.journalslibrary.nihr.ac.uk/hta/hta8250. Last visited on: Saturday, November 24th, 2018.
[20]	Quiñones-Vázquez S, Liriano-Ricabal MDR, Santana-Porbén S, Salabarría-González JR. Índice calcio-creatinina en una muestra matutina de orina para la estimación de hipercalciuria asociada con hematuria no glomerular observada en las edades infanto-juveniles. Boletín Médico Hospital Infantil México 2018; 75: 41-8. Available at: http://www.scielo.org.mx/scielo.php?pid=S1665-11462018000100041&script=sci_arttext&tlng=en. Last visited on: Friday, November 16^th, 2018.
[21]	Durán Alvarez S. Urolitiasis en el niño. Rev Cubana Pediatría 2013; 85 (3): 371-85. Available at: http://scielo.sld.cu/scielo.php?pid=S0034-75312013000300011&script=sci_arttext&tlng=en. Last visited on: Saturday, November 24th, 2018.
[22]	Durán Álvarez S. Hipercalciuria idiopática en el niño. Rev Cubana Med Gen Int 2010; 26 (1): 0-0. Disponible en: http://scielo.sld.cu/scielo.php?pid=S0864-21252010000100019&script=sci_arttext&tlng=en. Fecha de última visita: 14 de Septiembre del 2018.
[23]	Bacallao Méndez RA, Badell Moore A, Gutiérrez García F, Mañalich Comas R, Madrid Mancía CF, López Marín L. Índice calcio creatinina en el diagnóstico de la hipercalciuria en población pediátrica litiásica. Rev Cubana Invest Bioméd 2014; 33: 410-8. Available at: http://scielo.sld.cu/scielo.php?pid=S0864-03002014000400009&script=sci_arttext&tlng=pt. Last visited on: Saturday, November 24th, 2018.
[24]	Pérez Rodríguez MI, Martínez Silva M, Duarte MC, Liriano-Ricabal MDR, Santana-Porbén S, Salabarría-González JR. Sobre la presencia de la hipercalciuria idiopática en la hematuria no glomerular. Boletín Médico Hospital Infantil México 2018. Remitido para publicación.
[25]	Rodríguez Peña Y, Santana Porbén S. Boletín Médico Hospital Infantil México 2018. Remitido para publicación.
[26]	Jackson S. Creatinine in urine as an index of urinary excretion rate. Health Physics. 1966; 12: 843-850.
[27]	Alessio L, Berlin A, Dell’Orto A, Toffoletto F, Ghezzi I. Reliability of urinary creatinine as a parameter used to adjust values of urinary biological indicators. Int Archives Occupation Environm Health 1985; 55: 99-106.
[28]	Flury S, Trachsler J, Schwarz A, Ambühl PM. Quantification of excretory renal function and urinary protein excretion by determination of body cell mass using bioimpedance analysis. BMC Nephrology 2015; 16: 174-86. Available at: https://bmcnephrol.biomedcentral.com/articles/10.1186/s12882-015-0171-9. Last visited on: Saturday, November 24th, 2018.
[29]	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. Available at: http://www.medigraphic.com/pdfs/patol/pt-2015/pt153e.pdf. Last visited on: Saturday, November 24th, 2018.
[30]	Salabarría González JR, Santana Porbén S, Liriano Ricabal MR. Creatinuria predicha de la densidad urinaria como el denominador del índice de excreción de una sustancia. Rev Latinoam Patol Clín Med Lab 2015; 62: 220-29. Available at: http://www.medigraphic.com/pdfs/patol/pt-2015/pt154c.pdf. Last visited on: Saturday, November 24th, 2018.

Cite This Article

Plain Text BibTeX RIS

APA Style

Sergio Santana Porbén, José Reynaldo Salabarría González, María Del Rosario Liriano Ricabal, Susana Quiñones Vázquez. (2019). On the Urinary Excretion of a Substance as Predicted from the Substance-to-Creatinine Ratio. European Journal of Clinical and Biomedical Sciences, 5(1), 1-4. https://doi.org/10.11648/j.ejcbs.20190501.11

Copy | Download

ACS Style

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. Eur. J. Clin. Biomed. Sci. 2019, 5(1), 1-4. doi: 10.11648/j.ejcbs.20190501.11

Copy | Download

AMA Style

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. Eur J Clin Biomed Sci. 2019;5(1):1-4. doi: 10.11648/j.ejcbs.20190501.11

Copy | Download

@article{10.11648/j.ejcbs.20190501.11,
  author = {Sergio Santana Porbén and José Reynaldo Salabarría González and María Del Rosario Liriano Ricabal and Susana Quiñones Vázquez},
  title = {On the Urinary Excretion of a Substance as Predicted from the Substance-to-Creatinine Ratio},
  journal = {European Journal of Clinical and Biomedical Sciences},
  volume = {5},
  number = {1},
  pages = {1-4},
  doi = {10.11648/j.ejcbs.20190501.11},
  url = {https://doi.org/10.11648/j.ejcbs.20190501.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ejcbs.20190501.11},
  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.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - On the Urinary Excretion of a Substance as Predicted from the Substance-to-Creatinine Ratio
AU  - Sergio Santana Porbén
AU  - José Reynaldo Salabarría González
AU  - María Del Rosario Liriano Ricabal
AU  - Susana Quiñones Vázquez
Y1  - 2019/01/31
PY  - 2019
N1  - https://doi.org/10.11648/j.ejcbs.20190501.11
DO  - 10.11648/j.ejcbs.20190501.11
T2  - European Journal of Clinical and Biomedical Sciences
JF  - European Journal of Clinical and Biomedical Sciences
JO  - European Journal of Clinical and Biomedical Sciences
SP  - 1
EP  - 4
PB  - Science Publishing Group
SN  - 2575-5005
UR  - https://doi.org/10.11648/j.ejcbs.20190501.11
AB  - 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.
VL  - 5
IS  - 1
ER  -

Copy | Download

Author Information

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

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Sergio Santana Porbén, José Reynaldo Salabarría González, María Del Rosario Liriano Ricabal, Susana Quiñones Vázquez. (2019). On the Urinary Excretion of a Substance as Predicted from the Substance-to-Creatinine Ratio. European Journal of Clinical and Biomedical Sciences, 5(1), 1-4. https://doi.org/10.11648/j.ejcbs.20190501.11

Copy | Download

ACS Style

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. Eur. J. Clin. Biomed. Sci. 2019, 5(1), 1-4. doi: 10.11648/j.ejcbs.20190501.11

Copy | Download

AMA Style

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. Eur J Clin Biomed Sci. 2019;5(1):1-4. doi: 10.11648/j.ejcbs.20190501.11

Copy | Download

@article{10.11648/j.ejcbs.20190501.11,
  author = {Sergio Santana Porbén and José Reynaldo Salabarría González and María Del Rosario Liriano Ricabal and Susana Quiñones Vázquez},
  title = {On the Urinary Excretion of a Substance as Predicted from the Substance-to-Creatinine Ratio},
  journal = {European Journal of Clinical and Biomedical Sciences},
  volume = {5},
  number = {1},
  pages = {1-4},
  doi = {10.11648/j.ejcbs.20190501.11},
  url = {https://doi.org/10.11648/j.ejcbs.20190501.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ejcbs.20190501.11},
  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.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - On the Urinary Excretion of a Substance as Predicted from the Substance-to-Creatinine Ratio
AU  - Sergio Santana Porbén
AU  - José Reynaldo Salabarría González
AU  - María Del Rosario Liriano Ricabal
AU  - Susana Quiñones Vázquez
Y1  - 2019/01/31
PY  - 2019
N1  - https://doi.org/10.11648/j.ejcbs.20190501.11
DO  - 10.11648/j.ejcbs.20190501.11
T2  - European Journal of Clinical and Biomedical Sciences
JF  - European Journal of Clinical and Biomedical Sciences
JO  - European Journal of Clinical and Biomedical Sciences
SP  - 1
EP  - 4
PB  - Science Publishing Group
SN  - 2575-5005
UR  - https://doi.org/10.11648/j.ejcbs.20190501.11
AB  - 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.
VL  - 5
IS  - 1
ER  -

Copy | Download