Optimizing assessment of risk factors for severe bronchial asthma
https://doi.org/10.21508/1027-4065-2020-65-1-59-64
Abstract
Purpose. To determine the anamnestic predictors of severe bronchial asthma in children. Material and methods. We analyzed risk factors of 335 patients with bronchial asthma. We statistically selected 287 patients and developed a prognostic model. Results. The predictors of severe bronchial asthma are combination of factors such as high incidence of ARVI in the first 3 years of life (odds ratio – OR 4.5; p<0.0001), smoking parents (OR 3.9; p<0.01), female (OR 2.06; p=0.041), patient age (OR 1.44; p<0.0001) and the early disease debut (OR 0.58; p<0.0001). Conclusion. The results obtained should be used to predict the severe course of bronchial asthma based on the analysis of anamnestic data complex available in practical healthcare, to organize dispensary observation of sick children.
About the Authors
N. L. Potapova
Chita State Medical Academy
Russian Federation
Chita
Russian Federation
Chita
I. N. Gaymolenko
Chita State Medical Academy
Russian Federation
Chita
Russian Federation
Chita
Yu. N. Smolyakov
Chita State Medical Academy
Russian Federation
Chita
Russian Federation
Chita
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Review
For citations:
Potapova N.L., Gaymolenko I.N., Smolyakov Yu.N. Optimizing assessment of risk factors for severe bronchial asthma. Rossiyskiy Vestnik Perinatologii i Pediatrii (Russian Bulletin of Perinatology and Pediatrics). 2020;65(1):59-64. (In Russ.) https://doi.org/10.21508/1027-4065-2020-65-1-59-64
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