Multivariate regression analysis of risk factors for the development of polyposisrhinosinusitis

Abstract

Introduction. Chronic rhinosinusitis with nasal polyps is a group of chronic recurrent inflammatory diseases of the nasal mucosa and paranasal sinuses with an incompletely understood etiopathogenesis. Despite various theories on the development of this disease and principles of pathogenetic therapy, some patients continue to suffer from the disease, which is resistant to both medical and surgical treatment.The aim of this study was to identify the most significant risk factors for the development of polypoid rhinosinusitis in patients with chronic purulent rhinosinusitis using binary logistic regression.Materials and methods. The study included patients diagnosed with chronic purulent rhinosinusitis (n=40) and chronic purulent-polypoid rhinosinusitis (n=40) who were treated at the otorhinolaryngology department of the Chita Clinical Hospital "RZD-Medicine" from 2016 to 2020. The control group consisted of 20 healthy volunteers, matched by sex and age with the study groups. All subjects underwent comprehensive clinical examinations, bacteriological analysis, endoscopic examination, and measurements of interleukin (IL)-1β, IL-2, IL-4, IL-6, IL-8, IL-10, defensins (HAD 1-3), heat shock protein 70 (HSP70), and autoantibodies to it in serum and nasal secretions, as well as the coagulation activity of nasal secretions. Binary logistic regression was used to analyze risk factors for the development of polypoid rhinosinusitis.Results. We demonstrated that high predictive significance for the development of nasal mucosal polyps in patients with purulent rhinosinusitis is associated with concentrations of heat shock protein 70, IL-10, and HAD 1-3 in serum.Conclusion. A test set that includes levels of HSP70, IL-10, and HAD 1-3 in serum can predict the development of chronic polypoid rhinosinusitis with 99% accuracy.