Model for predicting the risk of severe bronchial asthma in children
https://doi.org/10.53529/2500-1175-2022-4-28-35
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.
Supporting agencies: There is no source of funding and no conflict of interest
About the Authors
O. E. Semernik
Rostov State Medical University
Russian Federation
Russian Federation
Olga Evgenievna Semernik, MD, Associate Professor
Department of Children’s Diseases № 2
344022
Nakchichevan lane
Rostov-on-Don
A. A. Lebedenko
Rostov State Medical University
Russian Federation
Russian Federation
Alexander Anatolyevich Lebedenko, MD, Head of the Department
Department of Children’s Diseases № 2
344022
Nakchichevan lane
Rostov-on-Don
E. B. Tyurina
Rostov State Medical University
Russian Federation
Russian Federation
Elena Borisovna Tyurina, Pediatrician
Pediatric Department
344022
Nakchichevan lane
Rostov-on-Don
M. V. Dudareva
Rostov State Medical University
Russian Federation
Russian Federation
Maria Vasilyevna Dudareva, Doctor of Biological Sciences, ved. N. S., Head of the Laboratory
Laboratory Diagnostics Department
344022
Nakchichevan lane
Rostov-on-Don
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Review
For citations:
Semernik O.E., Lebedenko A.A., Tyurina E.B., Dudareva M.V. Model for predicting the risk of severe bronchial asthma in children. Allergology and Immunology in Paediatrics. 2022;(4):28-35. (In Russ.) https://doi.org/10.53529/2500-1175-2022-4-28-35
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