Predictive model of asthma formation in children with atopic dermatitis

One of the highest risk factors for bronchial asthma (BA) in children is atopic dermatitis (AD). In this regard, current research is aimed at identifying additional predictors of asthma in the population of patients with AD. Aim: to develop a mathematical model for predicting the risk of BA in child...

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Main Authors: S. V. Levasheva, E. I. Etkina, L. L. Guryeva, A. R. Biktasheva, S. E. Yakuta, L. Y. Danilova
Format: Article
Language:Russian
Published: Remedium Group LLC 2016-12-01
Series:Медицинский совет
Subjects:
Online Access:https://www.med-sovet.pro/jour/article/view/1268
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spelling doaj-3d4f95520232434f88576bb85c8a68f22021-07-28T13:29:25ZrusRemedium Group LLCМедицинский совет2079-701X2658-57902016-12-010713213510.21518/2079-701X-2016-07-132-1351268Predictive model of asthma formation in children with atopic dermatitisS. V. Levasheva0E. I. Etkina1L. L. Guryeva2A. R. Biktasheva3S. E. Yakuta4L. Y. Danilova5Bashkir State Medical University, Ministry of Health of the Russian Federation, UfaBashkir State Medical University, Ministry of Health of the Russian Federation, UfaBashkir State Medical University, Ministry of Health of the Russian Federation, UfaBashkir State Medical University, Ministry of Health of the Russian Federation, UfaBashkir State Medical University, Ministry of Health of the Russian Federation, UfaBashkir State Medical University, Ministry of Health of the Russian Federation, UfaOne of the highest risk factors for bronchial asthma (BA) in children is atopic dermatitis (AD). In this regard, current research is aimed at identifying additional predictors of asthma in the population of patients with AD. Aim: to develop a mathematical model for predicting the risk of BA in children with AD. Material and methods: 315 children aged 0 to 18 years were examined, of which 138 with AD and no BA and 177 with AD and BA. Logistic regression method was used for the development of the mathematical model. Results: based on the obtained data, logistic regression equation with 7 predictors was chosen (age; intrauterine infection; pneumonia, acute obstructive bronchitis and chronic adenoids over the age of two; allergic diseases of the father and mother’s relatives) the statistical significance of which was within 5% Wald test.https://www.med-sovet.pro/jour/article/view/1268atopic dermatitisbronchial asthmachildrenlogistic regression
collection DOAJ
language Russian
format Article
sources DOAJ
author S. V. Levasheva
E. I. Etkina
L. L. Guryeva
A. R. Biktasheva
S. E. Yakuta
L. Y. Danilova
spellingShingle S. V. Levasheva
E. I. Etkina
L. L. Guryeva
A. R. Biktasheva
S. E. Yakuta
L. Y. Danilova
Predictive model of asthma formation in children with atopic dermatitis
Медицинский совет
atopic dermatitis
bronchial asthma
children
logistic regression
author_facet S. V. Levasheva
E. I. Etkina
L. L. Guryeva
A. R. Biktasheva
S. E. Yakuta
L. Y. Danilova
author_sort S. V. Levasheva
title Predictive model of asthma formation in children with atopic dermatitis
title_short Predictive model of asthma formation in children with atopic dermatitis
title_full Predictive model of asthma formation in children with atopic dermatitis
title_fullStr Predictive model of asthma formation in children with atopic dermatitis
title_full_unstemmed Predictive model of asthma formation in children with atopic dermatitis
title_sort predictive model of asthma formation in children with atopic dermatitis
publisher Remedium Group LLC
series Медицинский совет
issn 2079-701X
2658-5790
publishDate 2016-12-01
description One of the highest risk factors for bronchial asthma (BA) in children is atopic dermatitis (AD). In this regard, current research is aimed at identifying additional predictors of asthma in the population of patients with AD. Aim: to develop a mathematical model for predicting the risk of BA in children with AD. Material and methods: 315 children aged 0 to 18 years were examined, of which 138 with AD and no BA and 177 with AD and BA. Logistic regression method was used for the development of the mathematical model. Results: based on the obtained data, logistic regression equation with 7 predictors was chosen (age; intrauterine infection; pneumonia, acute obstructive bronchitis and chronic adenoids over the age of two; allergic diseases of the father and mother’s relatives) the statistical significance of which was within 5% Wald test.
topic atopic dermatitis
bronchial asthma
children
logistic regression
url https://www.med-sovet.pro/jour/article/view/1268
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AT arbiktasheva predictivemodelofasthmaformationinchildrenwithatopicdermatitis
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