Predicting urinary creatinine excretion and its usefulness to identify incomplete 24 h urine collections.
Br J Nutr
; 108(6): 1118-25, 2012 Sep 28.
Article
en En
| MEDLINE
| ID: mdl-22136756
ABSTRACT
Studies using 24 h urine collections need to incorporate ways to validate the completeness of the urine samples. Models to predict urinary creatinine excretion (UCE) have been developed for this purpose; however, information on their usefulness to identify incomplete urine collections is limited. We aimed to develop a model for predicting UCE and to assess the performance of a creatinine index using para-aminobenzoic acid (PABA) as a reference. Data were taken from the European Food Consumption Validation study comprising two non-consecutive 24 h urine collections from 600 subjects in five European countries. Data from one collection were used to build a multiple linear regression model to predict UCE, and data from the other collection were used for performance testing of a creatinine index-based strategy to identify incomplete collections. Multiple linear regression (n 458) of UCE showed a significant positive association for body weight (ß = 0·07), the interaction term sex × weight (ß = 0·09, reference women) and protein intake (ß = 0·02). A significant negative association was found for age (ß = -0·09) and sex (ß = -3·14, reference women). An index of observed-to-predicted creatinine resulted in a sensitivity to identify incomplete collections of 0·06 (95 % CI 0·01, 0·20) and 0·11 (95 % CI 0·03, 0·22) in men and women, respectively. Specificity was 0·97 (95 % CI 0·97, 0·98) in men and 0·98 (95 % CI 0·98, 0·99) in women. The present study shows that UCE can be predicted from weight, age and sex. However, the results revealed that a creatinine index based on these predictions is not sufficiently sensitive to exclude incomplete 24 h urine collections.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Cooperación del Paciente
/
Creatinina
/
Toma de Muestras de Orina
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Límite:
Aged
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Female
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Humans
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Male
/
Middle aged
País/Región como asunto:
Europa
Idioma:
En
Revista:
Br J Nutr
Año:
2012
Tipo del documento:
Article
País de afiliación:
Bélgica