Nueva fórmula para estimar creatininuria en población chilena / A new equation to predict urine creatinine values using data from Chilean population
Rev. méd. Chile
;
148(6): 734-739, jun. 2020. tab, graf
Article
in Spanish
| LILACS
| ID: biblio-1139365
ABSTRACT
Background:
Evaluation 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.Aim:
To generate an equation for estimating UCr in Chilean population and evaluate its performance in comparison to existing formulas. Material andMethods:
A 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.Results:
Age, 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.Conclusions:
Our equation developed with Chilean values predicts 24-hour UCr values accurately.
Full text:
Available
Index:
LILACS (Americas)
Main subject:
Creatinine
Type of study:
Prognostic study
/
Risk factors
Limits:
Adolescent
/
Adult
/
Aged
/
Aged80
/
Humans
Country/Region as subject:
South America
/
Chile
Language:
Spanish
Journal:
Rev. méd. Chile
Journal subject:
Medicine
Year:
2020
Type:
Article
Affiliation country:
Chile
Institution/Affiliation country:
Pontificia Universidad Católica de Chile/CL
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