Screening rules for growth to detect celiac disease: a case-control simulation study.
Publication year
2008Source
BMC Pediatrics, 8, 11-09-2008, (2008), pp. 35ISSN
Publication type
Article / Letter to editor
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Organization
Paediatrics - OUD tm 2017
Medical Psychology
Journal title
BMC Pediatrics
Volume
vol. 8
Issue
iss. 11-09-2008
Page start
p. 35
Page end
p. 35
Subject
IGMD 3: Genomic disorders and inherited multi-system disorders; UMCN 5.1: Genetic defects of metabolismAbstract
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.
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- Academic publications [242686]
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- Faculty of Medical Sciences [92292]
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