• Juan Pablo Huidobro Espinosa, Rodrigo Andrés Sepúlveda, and Gonzalo Mauricio Muñoz.
• Escuela de Medicina, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
• Rev Med Chil. 2020 Jun 1; 148 (6): 734-739.

BackgroundEvaluation of 24-hour collection accuracy is based on urinary creatinine excretion (UCr), usually using wide ranges indexed by weight. Equations that predict the expected UCr are also available.AimTo generate an equation for estimating UCr in Chilean population and evaluate its performance in comparison to existing formulas.Material And MethodsA total of 464 24-hour urine collections from outpatients aged between 15 and 88 years old were used. Ninety percent of collections (n = 418) were randomly extracted to assess the association between absolute UCr values with sex, age, height and weight of participants. A formula was created to estimate the 24-hour UCr using a multiple linear regression model. In the remaining 10% of urine collections (n = 46), the performance of this formula and others reported in the literature were tested.ResultsAge, sex and weight were significantly associated with 24-hour UCr values. The new equation was able to predict UCr values with a similar accuracy than CKD-EPI and Walser equations and outperformed other equations.ConclusionsOur equation developed with Chilean values predicts 24-hour UCr values accurately.

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