Using Growth to Detect Celiac Disease in Children
Author Information
Author(s): Paula van Dommelen, Floor K. Grote, Wilma Oostdijk, Sabine M.P.F. de Muinck Keizer-Schrama, Bart Boersma, Gerard M. Damen, Cassandra G. Csizmadia, Paul H. Verkerk, Jan M. Wit, Stef van Buuren
Primary Institution: TNO Quality of Life, Leiden, The Netherlands
Hypothesis
The study aims to evaluate the diagnostic efficiency of various growth criteria for identifying children with celiac disease.
Conclusion
BMI is a more effective indicator than weight or height for detecting symptomatic children with celiac disease.
Supporting Evidence
- BMI performed best for detecting symptomatic celiac disease.
- 30% of symptomatic children had a significant decrease in BMI SDS.
- The study included a large reference group for comparison.
Takeaway
Doctors can use a child's growth patterns, especially their BMI, to help find out if they have celiac disease.
Methodology
A case-control simulation study using longitudinal growth data from children with celiac disease and a reference group.
Potential Biases
Potential bias in the selection of reference groups and reliance on historical data.
Limitations
The study may not fully account for variations in growth patterns among different populations.
Participant Demographics
The study included 134 children with celiac disease and 2,151 reference children from the Netherlands.
Statistical Information
P-Value
0.85%
Confidence Interval
95%-CI 12–30
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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