Совершенствование диагностического алгоритма при гастроинтестинальной форме пищевой аллергии у младенцев

Translated title of the contribution: Improved diagnostic algorithm for gastrointestinal food allergy in infants

Research output: Contribution to journalArticlepeer-review

Abstract

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
Translated title of the contributionImproved diagnostic algorithm for gastrointestinal food allergy in infants
Original languageRussian
Pages (from-to)88-90
Number of pages3
JournalТихоокеанский медицинский журнал
Issue number4 (78)
DOIs
Publication statusPublished - 1 Dec 2019

OECD FOS+WOS

  • 3.01 BASIC MEDICAL RESEARCH
  • 3.02 CLINICAL MEDICINE

State classification of scientific and technological information

  • 76 MEDICINE AND HEALTH CARE

Fingerprint Dive into the research topics of 'Improved diagnostic algorithm for gastrointestinal food allergy in infants'. Together they form a unique fingerprint.

Cite this