A. Gorelov, O. Kalyuzhin, S. Ryazantsev, M. Savenkova, E. Melekhina, A. V. Gurov
{"title":"Optimizing the treatment of inflammatory and infectious respiratory diseasesin conditions of changes in the circulation patterns of seasonal pathogens","authors":"A. Gorelov, O. Kalyuzhin, S. Ryazantsev, M. Savenkova, E. Melekhina, A. V. Gurov","doi":"10.20953/1817-7646-2023-3-137-149","DOIUrl":null,"url":null,"abstract":"Every year, acute and chronic infectious diseases of the respiratory tract maintain their leading positions in terms of incidence and the magnitude of the damage caused both in the world and in the Russian Federation. The problem of respiratory infections is most relevant in children due to high prevalence of these diseases and increased risk of complications and development of chronic forms. In the last six months of the COVID-19 pandemic and after its completion, сertain peculiarities of circulation of respiratory pathogens have been noted, which complicate the choice of treatment tactics. The high polyetiologicity of acute respiratory diseases, the existence of unidentified and poorly studied pathogens, the frequent occurrence of mixed respiratory tract infections reduce the possibilities for the effective use of etiotropic therapy. In these conditions, an important role is assigned to means that activate the body's own innate and adaptive immune mechanisms to fight infection, such as bacterial lysate medicines. Objective: Generalization of relevant data on the current features of circulation of respiratory pathogens based on weekly monitoring and epidemiological studies and the development of algorithms for the treatment of patient with various acute and chronic inflammatory and infectious respiratory diseases. Key words: acute respiratory infections, COVID-19 pandemic, 2022–2023 epidemic season, sore throat, chronic tonsillitis, adenoiditis, treatment algorithms, bacterial lysate medicines","PeriodicalId":38157,"journal":{"name":"Voprosy Prakticheskoi Pediatrii","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Voprosy Prakticheskoi Pediatrii","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20953/1817-7646-2023-3-137-149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Every year, acute and chronic infectious diseases of the respiratory tract maintain their leading positions in terms of incidence and the magnitude of the damage caused both in the world and in the Russian Federation. The problem of respiratory infections is most relevant in children due to high prevalence of these diseases and increased risk of complications and development of chronic forms. In the last six months of the COVID-19 pandemic and after its completion, сertain peculiarities of circulation of respiratory pathogens have been noted, which complicate the choice of treatment tactics. The high polyetiologicity of acute respiratory diseases, the existence of unidentified and poorly studied pathogens, the frequent occurrence of mixed respiratory tract infections reduce the possibilities for the effective use of etiotropic therapy. In these conditions, an important role is assigned to means that activate the body's own innate and adaptive immune mechanisms to fight infection, such as bacterial lysate medicines. Objective: Generalization of relevant data on the current features of circulation of respiratory pathogens based on weekly monitoring and epidemiological studies and the development of algorithms for the treatment of patient with various acute and chronic inflammatory and infectious respiratory diseases. Key words: acute respiratory infections, COVID-19 pandemic, 2022–2023 epidemic season, sore throat, chronic tonsillitis, adenoiditis, treatment algorithms, bacterial lysate medicines