Menu

A+ A A-

Download article

DOI: https://doi.org/10.22263/2312-4156.2024.4.105

V.V. Ravskaya, N.S. Paramonova, R.N. Khokha
Prediction of the risk of developing severe allergic rhinitis associated with sensitization to plant pollen
Grodno State Medical University, Grodno, Republic of Belarus

Vestnik VGMU. 2024;23(4):105-112.

Abstract.
Objectives. To develop a model for predicting severe allergic rhinitis associated with plant pollen.
Material and methods. All children with allergic rhinitis (n=50) participating in the study were divided into 2 groups: group 1 (n=21) with mild allergic rhinitis and group 2 (n=29) with moderate/severe allergic rhinitis. A statistical analysis of clinical, laboratory and anamnestic parameters was carried out, which made it possible to identify a number of factors that increase the likelihood of developing a more severe course of allergic rhinitis in children. Five variables were selected (the age of diagnosing allergic rhinitis, the number of neutrophils in peripheral blood, the number of eosinophils in rhinocytogram, the presence of sensitization to tree pollen, the level of stable nitric oxide (NOx) metabolites in blood serum, which were entered into a binary logistic regression model.
As a result of the regression analysis made, a mathematical model was developed that has a sensitivity of 82.76%, a specificity of 92.1% and makes it possible to establish in the early stages the likelihood of a more severe course of allergic rhinitis in children.
Conclusions. The developed method for predicting a higher severity of allergic rhinitis associated with pollen will make it possible to correct the treatment of this disease in its early stages.
Keywords: allergic rhinitis, pollen, children, prediction, regression analysis.

Acknowlegments. The authors express their gratitude to the reviewer of the article for critical reading of their manuscript.

References

1. Wise SK, Damask C, Roland LT, Ebert C, Levy JM, Lin S, et al. International consensus statement on allergy and rhinology: Allergic rhinitis – 2023. Int Forum Allergy Rhinol. 2023 Apr;13(4):293-859. doi: http://dx.doi.org/10.1002/alr.23090
2. Sikorska-Szaflik H, Sozańska B. Quality of life in allergic rhinitis – children's and their parents' perspective in polish urban and rural population. Health Qual Life Outcomes. 2020 Mar;18(1):64. doi: http://dx.doi.org/10.1186/s12955-020-01315-1
3. Xu X, Liu X, Li J, Deng X, Dai T, Ji Q, et al. Environmental Risk Factors, and Biomarkers for Allergic Rhinitis: A Systematic Umbrella Review of the Evidence. Clin Rev Allergy Immunol. 2023 Oct;65(2):188-205. doi: http://dx.doi.org/10.1007/s12016-023-08964-2
4. Ovsyannikov DYu, Furman EG, Eliseeva TI; Ovsyannikov DYu, red. Bronchial asthma in children: monografiya. Moscow, RF: RUDN; 2019. 211 р. (In Russ.)
5. Fayzullina RM, Tikhonova RZ. Allergic rhinitis as a factor in the formation of bronchial asthma in children. Consilium Medicum Pediatriya. 2017;(1):89-92. (In Russ.)
6. Kuzmicheva KP, Malinina EI, Rychkova OA. Current view on the prevalence of allergic diseases in children. Allergologiya Immunologiya Pediatrii. 2021;(2):4-10. (In Russ.). doi: http://dx.doi.org/10.24412/2500-1175-2021-2-4-10
7. Parkhomchuk OYu, Fomina EG, Grigoryeva EE. Production of an expression vector containing the nucleotide sequence of the gene encoding the Betv 1 protein, the main allergen of birch pollen. Ves Nats Akad Navuk Belarusі Ser Bіyal Navuk. 2023;68(2):104-13. (In Russ.). doi: http://dx.doi.org/10.29235/1029-8940-2023-68-2-104-11
8. Ravskaya VV, Paramonova NS, Khokha RN, Vezhel OV. Regional peculiarities of sensitization to pollen allergens in children and adolescents of Grodno region. Smolenskii Med Al'm. 2023;(1):26-9. (In Russ.)
9. Eguiluz-Gracia I, Mathioudakis AG, Bartel S, Vijverberg SJH, Fuertes E, Comberiati P, et al. The need for clean air: The way air pollution and climate change affect allergic rhinitis and asthma. Allergy. 2020 Sep;75(9):2170-2184. doi: http://dx.doi.org/10.1111/all.14177
10. Kim IA, Nosulya EV, Orekhova KK. Pathogenetic significance of nitric oxide in allergic rhinitis (literature review). Ros Rinologiya. 2015;23(2):68-71. (In Russ.). doi: http://dx.doi.org/10.17116/rosrino201523268-71
11. Parfenova IV, Maksimovich NA. Method for predicting the development of high severity of inflammation in children with acute out-of-hospital pneumonias. Zhurn GrGMU.

Submitted 11.06.2024
Accepted 28.08.2024

Information about authors:
V.V. Ravskaya – lecturer of the Chair of Childhood Diseases No.2, Grodno State Medical University, https://orcid.org/0009-0003-4434-3128,
e-mail: Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра. – Victoriya V. Ravskaya;
N.S. Paramonova – Doctor of Medical Sciences, professor, head of the Chair of Childhood Diseases No.2, Grodno State Medical University, https://orcid.org/0000-0003-4823-7819
R.N. Khokha – Candidate of Medical Sciences, associate professor of the Chair of Childhood Diseases No.2, Grodno State Medical University, https://orcid.org/0000-0002-1002-1783

Поиск по сайту