Model for predicting the risk of severe bronchial asthma in children
ALLERGOLOGY AND IMMUNOLOGY IN PEDIATRICS | ORIGINAL ARTICLE
Volume 71 • Issue 4 • Desember 2022, pp. 28-35
Received: 19.08.2022 | Accepted for publication: 07.11.2022 | Publication date: 20.12.2022
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Rostov State Medical University, 344022, Rostov-on-Don, Nakchichevan lane, Russia
Abstract
Objective: to develop a model for predicting the severe course of bronchial asthma (BA) in children.
Materials and methods: a comprehensive examination was conducted of 213 children aged 3 to 12 years suffering from atopic asthma (mild course was observed in 85.0%, moderate — in 10.3%, severe — 4.7%). A statistical analysis of clinical and laboratory parameters was performed using the logistic regression method, which allowed us to identify a number of factors that increase the probability of developing a more severe course of BA in children.
Results. A mathematical model for predicting the risk of severe bronchial asthma in children has been developed, including such factors as the child’s age, the degree of respiratory failure, the value of the peak expiratory rate, the duration of the disease, and the presence of an association of exacerbations of the disease with changes in the weather and physical activity. A computer program has also been developed that allows you to automatically calculate the amount of risk after entering the child’s data.
Conclusion. The use of this model makes it possible to predict the further course of BA with a high degree of confidence, and, consequently, to correct the basic therapy in time to prevent the development of complications in a sick child.
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Citation
Semernik OE, Lebedenko AA, Tyurina EB, Dudareva MV. A model for predicting the risk of developing severe bronchial asthma in children. Allergology and Immunology in Pediatrics. 2022; 4: 28–35. (In Russ.) https://doi.org/10.53529/2500-1175-2022-4-28-35
For correspondence:
Olga E. Semernik
MD, Associate Professor of the Department of Children’s Diseases № 2 of Rostov State Medical University
0000-0002-3769-8014
344022, Rostov-on-Don, Nakchichevan lane, Russia
semernick@mail.ru
Supporting agencies:
There is no source of funding
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no conflict of interest
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