Objectives: Celiac disease (CD) and eosinophilic esophagitis (EoE) are underdiagnosed gastrointestinal conditions, which adversely affect children's health. Previous studies have shown that diagnostic guidelines for CD are not consistently followed in adults. The aims of the present study are to assess the frequency with which endoscopists comply with diagnostic guidelines for CD and EoE in children, and to determine whether an association exists between adherence to biopsy guidelines and disease detection in pediatric patients.
Methods: We reviewed pathology reports from 9171 children (ages 0-18) with at least 1 duodenal biopsy, and 8280 children with at least 1 esophageal biopsy, with specimens submitted to a national pathology laboratory. Frequency of adherence to diagnostic guidelines and recommendations for CD and EoE were determined, and the effect of this upon detection of CD and EoE.
Results: Overall, 35% of cases were biopsied according to the 2006 American Gastroenterological Association guidelines for CD diagnosis; 8% were biopsied according to the 2007 American Gastroenterological Association EoE consensus recommendations. Detection of CD and EoE increased with the number of biopsies collected (P for trend in each <0.001). Adherence to diagnostic guidelines was particularly poor among those found to have histologically normal mucosa in both cohorts. The likelihood of CD and EoE diagnosis was significantly associated with adherence to diagnostic guidelines (odds ratio for CD 6.3, 95% confidence interval 4.4-8.9; odds ratio for EoE 2.4, 95% confidence interval 1.9-2.9).
Conclusion: Adherence to established guidelines is poor, and improved guideline adherence is associated with greater disease detection rates for CD and EoE.
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Front Vet Sci
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Laboratory of Microbial Ecology and Genomics, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy.
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Biomedical Sciences, University of Chicago, Chicago, USA.
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Department of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
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Department of Global Health and Development, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.
The application of artificial intelligence (AI) to healthcare in Africa has the potential to transform productivity, diagnosis, disease surveillance, and resource allocation by improving accuracy and efficiency. However, to fully realize its benefits, it is necessary to consider issues concerning data privacy, equity, infrastructure integration, and ethical policy development. The use of these tools may improve the detection of diseases, the distribution of resources, and the continuity of care.
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