Predictive model of development of atopic dermatitis in children
Russian Journal of Allergy(2016)
Abstract
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.
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Key words
Skin Microbiome
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