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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...

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Autores principales: van Dommelen, Paula, Grote, Floor K, Oostdijk, Wilma, Keizer-Schrama, Sabine MPF de Muinck, Boersma, Bart, Damen, Gerard M, Csizmadia, Cassandra G, Verkerk, Paul H, Wit, Jan M, van Buuren, Stef
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2551593/
https://www.ncbi.nlm.nih.gov/pubmed/18786241
http://dx.doi.org/10.1186/1471-2431-8-35
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author van Dommelen, Paula
Grote, Floor K
Oostdijk, Wilma
Keizer-Schrama, Sabine MPF de Muinck
Boersma, Bart
Damen, Gerard M
Csizmadia, Cassandra G
Verkerk, Paul H
Wit, Jan M
van Buuren, Stef
author_facet van Dommelen, Paula
Grote, Floor K
Oostdijk, Wilma
Keizer-Schrama, Sabine MPF de Muinck
Boersma, Bart
Damen, Gerard M
Csizmadia, Cassandra G
Verkerk, Paul H
Wit, Jan M
van Buuren, Stef
author_sort van Dommelen, Paula
collection PubMed
description 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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spelling pubmed-25515932008-09-24 Screening rules for growth to detect celiac disease: A case-control simulation study van Dommelen, Paula Grote, Floor K Oostdijk, Wilma Keizer-Schrama, Sabine MPF de Muinck Boersma, Bart Damen, Gerard M Csizmadia, Cassandra G Verkerk, Paul H Wit, Jan M van Buuren, Stef BMC Pediatr Research Article 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. BioMed Central 2008-09-11 /pmc/articles/PMC2551593/ /pubmed/18786241 http://dx.doi.org/10.1186/1471-2431-8-35 Text en Copyright © 2008 van Dommelen et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
van Dommelen, Paula
Grote, Floor K
Oostdijk, Wilma
Keizer-Schrama, Sabine MPF de Muinck
Boersma, Bart
Damen, Gerard M
Csizmadia, Cassandra G
Verkerk, Paul H
Wit, Jan M
van Buuren, Stef
Screening rules for growth to detect celiac disease: A case-control simulation study
title Screening rules for growth to detect celiac disease: A case-control simulation study
title_full Screening rules for growth to detect celiac disease: A case-control simulation study
title_fullStr Screening rules for growth to detect celiac disease: A case-control simulation study
title_full_unstemmed Screening rules for growth to detect celiac disease: A case-control simulation study
title_short Screening rules for growth to detect celiac disease: A case-control simulation study
title_sort screening rules for growth to detect celiac disease: a case-control simulation study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2551593/
https://www.ncbi.nlm.nih.gov/pubmed/18786241
http://dx.doi.org/10.1186/1471-2431-8-35
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