Screening rules for growth to detect celiac disease: A case-control simulation study
Background: It is generally assumed that most patients with celiac disease (CD) have a slowed growth in terms of length (or height) and weight. However, the effectiveness of slowed growth as a tool for identifying children with CD is unknown. Our aim is to study the diagnostic efficiency of several growth criteria used to detect CD children. Methods: A case-control simulation study was carried out. Longitudinal length and weight measurements from birth to 2.5 years of age were used from three groups of CD patients (n = 134) (one group diagnosed by screening, two groups with clinical manifestations), and a reference group obtained from the Social Medical Survey of Children Attending Child Health Clinics (SMOCC) cohort (n = 2,151) in The Netherlands. The main outcome measures were sensitivity, specificity and positive predictive value (PPV) for each criterion. Results: Body mass index (BMI) performed best for the groups with clinical manifestations. Thirty percent of the CD children with clinical manifestations and two percent of the reference children had a BMI Standard Deviation Score (SDS) less than -1.5 and a decrease in BMI SDS of at least -2.5 (PPV = 0.85%). The growth criteria did not discriminate between the screened CD group and the reference group. Conclusion: For the CD children with clinical manifestations, the most sensitive growth parameter is a decrease in BMI SDS. BMI is a better predictor than weight, and much better than length or height. Toddlers with CD detected by screening grow normally at this stage of the disease.
|Persistent URL||dx.doi.org/10.1186/1471-2431-8-35, hdl.handle.net/1765/30387|
|Note||Free full text at PubMed|
van Dommelen, P., Grote, F.K., Oostdijk, W., de Muinck Keizer-Schrama, S.M.P.F., Boersma, B., Damen, G.M., … van Buuren, S.. (2008). Screening rules for growth to detect celiac disease: A case-control simulation study. B M C Pediatrics, 8. doi:10.1186/1471-2431-8-35