Open AccessImproved diagnostic algorithm for gastrointestinal food allergy in infants
Author(s) -
M.Yu. Denisov,
Emma-Yanina V. Gild
Publication year - 2019
Publication title -
tihookeanskij medicinskij žurnal
Language(s) - English
Resource type - Journals
ISSN - 1609-1175
DOI - 10.34215/1609-1175-2019-4-88-90
Subject(s) - anamnesis , medicine , diarrhea , malabsorption , abdominal distension , food allergy , pediatrics , allergy , algorithm , immunology , computer science
Objective: The objective is to improve non-invasive diagnostic algorithm (NDA) to identify food allergy (FA) in infants since their first months of live. Methods: We have done clinical and anamnestic examination and subsequent follow-up of 26 infants aged from 1 week old to 9 months old having admitted with complaints about colics, diarrhea, abdominal distension and skin rashes. Primary screening was performed using CoMiss tool, then anamnesis data was collected according NDA. Results: FA was diagnosed in 34.6 % of infants due to improved NDA. Case follow-up suggested the presence of FA in 46.1% of patients. Conclusions: The questionnaire showed a high clinical effectiveness and uniqueness, exceeding current alternatives for non-invasive diagnostics of malabsorption syndrome in infants.