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.

Molecular diagnostics makes it possible to determine true and cross reactivity differentially, which is of great clinical importance not only for the diagnosis of the true spectrum of sensitization, but also for the reasonable choice of pathogenetic therapy, prediction of the effectiveness and risks associated with allergenspecific immunotherapy. A number of clinical cases are presented as examples demonstrating the clarifying nature of molecular allergodiagnostics.