A NOVEL CONSERVATIVE MULTIMODAL APPROACH FOR THE TREATMENT OF CHRONIC TONSILLITIS

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Authors: N.P.Alimova
Cited by: 0

Abstract

Chronic tonsillitis remains a common otorhinolaryngological condition characterized by recurrent inflammation, persistent microbial biofilms, and frequent exacerbations. Conventional conservative therapy often provides only temporary relief, while surgical treatment is associated with functional loss and potential complications. To evaluate the clinical effectiveness of a patented multistep conservative treatment method for chronic tonsillitis aimed at deep intralacunar sanitation, suppression of microbial biofilms, and prolongation of clinical remission. The study included patients with clinically confirmed chronic tonsillitis. The proposed treatment protocol consisted of staged intralacunar sanitation using ozonated isotonic solution combined with low-frequency ultrasound exposure, application of a thiol-containing mucolytic agent, adsorption therapy with polyvinylpyrrolidone solution, controlled micro-drying of the tonsillar surface, and subsequent local application of an ozone-based gel followed by a mucoadhesive protective coating. Clinical and pharyngoscopic parameters were assessed before and after treatment. The use of the patented method resulted in significant reduction of pathological lacunar content, improvement of pharyngoscopic signs, and a decrease in the frequency of exacerbations. The method demonstrated high clinical effectiveness and contributed to prolonged remission without the use of systemic antibiotics or surgical intervention. The proposed patented conservative approach represents an effective, organ-preserving method for the treatment of chronic tonsillitis and may be recommended for wide clinical application.

Fields of Study & Subjects

Medical and Biological Ozone Research Otolaryngology and Infectious Diseases Streptococcal Infections and Treatments

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 February 2026
Language
EN
Document type
Dataset