New equations to estimate serum creatinine concentrations by the compensated Jaffé method
Keywords:
creatinine, Cuba, glomerular filtration rate.Abstract
Introduction: Serum creatinine measurements are usually made by the Jaffé kinetic method (alkaline picrate) but this method is inaccurate due to the presence of interferents.Objective: Design equations that allow correcting the serum creatinine values ??measured by the Jaffé kinetic method.
Methods: Experimental methodological study. Serum creatinine values ??obtained from subjects who underwent laboratory tests at the Institute of Nephrology and Pediatrics of Centro Habana, Havana, Cuba were used; by three methods: IDMS-traceable Jaffé kinetic (gold standard), automated Jaffé kinetic, and manual Jaffé kinetic. SPSS 21.0 software was used to perform frequency analysis, Student's t test for comparison of means, Pearson's correlation, multiple regression, and residue analysis. Simple linear regression was performed to obtain the correction equations.
Results: 449 subjects were included. Four correction equations were created according to the measurement method and creatinine levels. It was found: Student's t test significant in both comparisons, strong Pearson correlations with r 2 above 0.75. Mean and standard deviation of creatinine once corrected were similar to the gold standard, Pearson's correlation of 0.918 and 0.889 pre-correction, and 0.996 and 0.995 post-correction for automated and manual methods, respectively.
Conclusions: Four equations are presented for the correction of serum creatinine concentrations, measured by the Jaffé kinetic method, corresponding to creatinine values lower than 1 mg/dl, and equal or greater than 1 mg/dl, both for the manual and automated methods.
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References
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8. Sánchez Turcios RA. T-Student: Usos y abusos [Internet]. Rev. Mex. Cardiol. 2015 [acceso: 22/02/2023];26(1):59-61. Disponible en: http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0188-21982015000100009&lng=es
9. Carrasquilla-Batista A, Chacón-Rodríguez A, Núñez-Montero K, Gómez-Espinoza O, Valverde J, Guerrero-Barrantes M. Regresión lineal simple y múltiple: aplicación en la predicción de variables naturales relacionadas con el crecimiento microalgal [Internet]. Revista Tecnología en Marcha. 2016;29(5):33-45. DOI: 10.18845/tm.v29i8.2983
10. Baeza-Serrato R, Vázquez-López JA. Transición de un modelo de regresión lineal múltiple predictivo, a un modelo de regresión no lineal simple explicativo con mejor nivel de predicción: Un enfoque de dinámica de sistemas [Internet]. Revista Facultad de Ingeniería Universidad de Antioquia. 2014 [acceso: 19/02/2023];(71):59-71. Disponible en: http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-62302014000200007&lng=en&tlng=es
11. Laszczynska O, Azevedo A, Ferreira-Almeida M, Guimarães JT, Severo M. Conversion methods for modified Jaffe reaction assays of serum creatinine [Internet]. Porto Biomed J. 2020 [acceso: 19/02/2023];5(3):e72. Disponible en: https://pubmed.ncbi.nlm.nih.gov/33299949/
12. Bacallao Méndez RA, Cabrera Eugenio AP, Mañalich Comas R, Gutiérrez García F. Evaluación de las fórmulas predictivas de la función renal en una población pediátrica urolitiásica cubana [Internet]. Rev Cubana Invest Bioméd. 2018 [acceso: 10/02/2023];37(3):1-15. Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S0864-03002018000300008&lng=es
Published
2024-08-28
How to Cite
1.
Rodríguez García CA, Bacallao Méndez RA, Córdova Rodríguez Y. New equations to estimate serum creatinine concentrations by the compensated Jaffé method. Rev Cubana Med Milit [Internet]. 2024 Aug. 28 [cited 2025 Jan. 28];53(3):e024049530. Available from: https://revmedmilitar.sld.cu/index.php/mil/article/view/49530
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