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Predicting urinary creatinine excretion and its usefulness to identify incomplete 24 h urine collections. 2012

Willem De Keyzer, and Inge Huybrechts, and Arnold L M Dekkers, and Anouk Geelen, and Sandra Crispim, and Paul J M Hulshof, and Lene F Andersen, and Irena Řehůřková, and Jiří Ruprich, and Jean-Luc Volatier, and Georges Van Maele, and Nadia Slimani, and Pieter van't Veer, and Evelien de Boer, and Stefaan De Henauw, and
Department of Nutrition and Dietetics, Faculty of Health Care Vesalius, University College Ghent, Keramiekstraat 80, B-9000 Ghent, Belgium. willem.dekeyzer@hogent.be

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 (β = 0·07), the interaction term sex × weight (β = 0·09, reference women) and protein intake (β = 0·02). A significant negative association was found for age (β = -0·09) and sex (β = -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.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D010349 Patient Compliance Voluntary cooperation of the patient in following a prescribed regimen. Client Adherence,Client Compliance,Non-Adherent Patient,Patient Adherence,Patient Cooperation,Patient Noncompliance,Patient Non-Adherence,Patient Non-Compliance,Patient Nonadherence,Therapeutic Compliance,Treatment Compliance,Adherence, Client,Adherence, Patient,Client Compliances,Compliance, Client,Compliance, Patient,Compliance, Therapeutic,Compliance, Treatment,Cooperation, Patient,Non Adherent Patient,Non-Adherence, Patient,Non-Adherent Patients,Non-Compliance, Patient,Nonadherence, Patient,Noncompliance, Patient,Patient Non Adherence,Patient Non Compliance,Patient, Non-Adherent,Therapeutic Compliances,Treatment Compliances
D001835 Body Weight The mass or quantity of heaviness of an individual. It is expressed by units of pounds or kilograms. Body Weights,Weight, Body,Weights, Body
D003404 Creatinine Creatinine Sulfate Salt,Krebiozen,Salt, Creatinine Sulfate,Sulfate Salt, Creatinine
D004032 Diet Regular course of eating and drinking adopted by a person or animal. Diets
D005060 Europe The continent north of AFRICA, west of ASIA and east of the ATLANTIC OCEAN. Northern Europe,Southern Europe,Western Europe
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000367 Age Factors Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time. Age Reporting,Age Factor,Factor, Age,Factors, Age

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