The use of two non-consecutive 24 h recalls using EPIC-Soft for standardised dietary monitoring in European countries has previously been proposed in the European Food Consumption Survey Method consortium. Whether this methodology is sufficiently valid to assess nutrient intake in a comparable way, among populations with different food patterns in Europe, is the subject of study in the European Food Consumption Validation consortium. The objective of the study was to compare the validity of usual protein and K intake estimated from two non-consecutive standardised 24 h recalls using EPIC-Soft between five selected centres in Europe. A total of 600 adults, aged 45-65 years, were recruited in Belgium, the Czech Republic, France, The Netherlands and Norway. From each participant, two 24 h recalls and two 24 h urines were collected. The mean and distribution of usual protein and K intake, as well as the ranking of intake, were compared with protein and K excretions within and between centres. Underestimation of protein (range 2 -13 %) and K (range 4 -17 %) intake was seen in all centres, except in the Czech Republic. We found a fair agreement between prevalences estimated based on the intake and excretion data at the lower end of the usual intake distribution (,10 % difference), but larger differences at other points. Protein and K intake was moderately correlated with excretion within the centres (ranges ¼ 0·39-0·67 and 0·37 -0·69, respectively). These were comparable across centres. In conclusion, two standardised 24 h recalls (EPIC-Soft) appear to be sufficiently valid for assessing and comparing the mean and distribution of protein and K intake across five centres in Europe as well as for ranking individuals.

Suggested citation: Ocké M., de Boer E., Brants H., van der Laan J., Niekerk M., van Rossum C., Temme L., Freisling H., Nicolas G., Casagrande C., Slimani N., Trolle E., Ege M., Christensen T., Vandevijvere S., Bellemans M., De Maeyer M., Defourny S., Rupich J., Dofkova M., Rehurkova I., Jakubikova M., Blahova J., Piskackova Z., Maly M.; PANCAKE -Pilot study for the Assessment of Nutrient intake and food Consumption Among Kids in Europe. Supporting Publications

The aim of the present study was to validate thirty-eight picture series of six pictures each developed within the PANCAKE (Pilot study for the Assessment of Nutrient intake and food Consumption Among Kids in Europe) project for portion size estimation of foods consumed by infants, toddlers and children for future pan-European and national dietary surveys. Identical validation sessions were conducted in three European countries. In each country, forty-five foods were evaluated; thirty-eight foods were the same as the depicted foods, and seven foods were different, but meant to be quantified by the use of one of the thirty-eight picture series. Each single picture within a picture series was evaluated six times by means of predefined portions. Therefore, thirty-six pre-weighed portions of each food were evaluated by convenience samples of parents having children aged from 3 months to 10 years. The percentages of participants choosing the correct picture, the picture adjacent to the correct picture or a distant picture were calculated, and the performance of individual pictures within the series was assessed. For twenty foods, the picture series performed acceptably (mean difference between the estimated portion number and the served portion number less than 0·4 (SD ,1·1)). In addition, twelve foods were rated acceptable after adjustment for density differences. Some other series became acceptable after analyses at the country level. In conclusion, all picture series were acceptable for inclusion in the PANCAKE picture book. However, the picture series of baby food, salads and cakes either can only be used for foods that are very similar to those depicted or need to be substituted by another quantification tool.

Background and AimMonitoring mucosal inflammation in inflammatory bowel disease (IBD) is of major importance to prevent complications and improve long-term disease outcome. The correlation of clinical activity indices with endoscopic disease activity is, however, moderate. Fecal calprotectin (FC) is a better predictor of mucosal inflammation, but values between 100 and 250 µg/g are difficult to interpret in clinical practice. We aimed to evaluate the occurrence of indefinite FC levels in a real-life IBD cohort and study the additional value of a combination of biochemical markers and clinical activity indices.MethodsIn total, 148 Crohn’s disease (CD) and 80 ulcerative colitis (UC) patients visiting the outpatient clinic were enrolled. FC, clinical disease activity scored by the Harvey–Bradshaw index or Simple Clinical Colitis Activity Index, and C-reactive protein (CRP) were assessed. In a subset of patients, endoscopic activity was scored by the simple endoscopic score-Crohn’s disease and Mayo endoscopic subscore. Clinical activity index, CRP, and FC were integrated in a combination score and compared with endoscopy.ResultsIndefinite FC values were present in 24% of CD and 15% of UC. In the cohort of patients with endoscopy scores available, the combination score predicted endoscopic disease activity in CD with a sensitivity of 83% and specificity of 69% [positive predictive value (PPV) 58%, negative predictive value (NPV) 89%]. In UC, this was 88 and 75% (PPV 93%, NPV 60%).ConclusionsA combination of FC with clinical activity indices or CRP may aid in classifying patients with indefinite disease activity according to FC alone.

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 paraaminobenzoic acid (PABA) as a reference. Data were taken from the European Food Consumption Validation study comprising two nonconsecutive 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 indexbased strategy to identify incomplete collections. Multiple linear regression (n 458) of UCE showed a significant positive association for body weight (b ¼ 0·07), the interaction term sex £ weight (b ¼ 0·09, reference women) and protein intake (b ¼ 0·02). A significant negative association was found for age (b ¼ 20·09) and sex (b ¼ 23·14, 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.