Open AccessPredictive model of development of atopic dermatitis in children
Author(s) -
S V Levashcva,
Э. И. Эткина,
А. А. Фазылова,
Г. Д. Сакаева,
Л. И. Бабенкова,
Nadezhda Orlova
Publication year - 2016
Publication title -
rossijskij allergologičeskij žurnal
Language(s) - English
Resource type - Journals
eISSN - 2686-682X
pISSN - 1810-8830
DOI - 10.36691/rja379
Subject(s) - atopic dermatitis , logistic regression , medicine , statistical significance , regression analysis , wald test , statistical model , dermatology , statistics , mathematics , statistical hypothesis testing
Background. To identify the set of possible predictors of atopic dermatitis forming in children. Methods. There were 440 children aged from 0 to 18 years old (315 patients with atopic dermatitis, 125 - children of the monitoring group) under investigation. Mathematical models used logistic regression method were developed. Results. On the basis of the obtained data the logistic regression equation was selected, including 16 predictors, statistical significance of which was within 5% of the Wald statistics. Conclusion. Practical application of the devised formula will help to identify children with high risk to develop atopic dermatitis.