Abstract

Background. Antibiotic resistance is a worldwide problem that is the main cause of the increase in the number of purulent-inflammatory diseases and postsurgical complications. Aim. The aim of the present study was to monitor antibiotic resistance of microorganisms isolated in the course of microbiological study in otorhinolaryngological and surgical patients of the outpatient department of a single preventive health institution. Material and methods. A statistical analysis of the results of microbiological studies, excretions of patients undergoing outpatient treatment in surgical and otorhinolaryngological departments of outpatient clinic No1 of the state budget institution «City Clinical Hospital No 7» of Tver is presented. We processed 280 findings of microbiological studies of ear, nose, pharynx and wound surface cultures for 2019. Results and discussion. It was found that the spectrum of dominant microorganism species in 2019 detected during swabbing of surgical and otorhinolaryngological patients treated in the outpatient clinic included gram-negative Escherichia coli and Klebsiella pneumonia and gram-positive Staphylococcus aureus and Streptococcus pyogenes microorganisms. Among the microorganisms presented, strains with multiple resistance to the action of antimicrobial drugs were identified. According to the total number of resistant microorganisms it was found that among antibacterial drugs, antibiotics of Aminopenicillin class, including those protected by protease inhibitors, as well as fluoroquinolones of the 2nd generation have the lowest clinical efficacy in the given medical institution. Conclusion. The findings of the present study indicate a rapid rate of spread of resistance genes among nosocomial strains of microorganisms, which necessitates continuous monitoring of antibiotic sensitivity by various specific laboratory methods. The results of laboratory studies should be used when prescribing antibiotic therapy for a particular patient, and the results of this study should be considered when selecting an empirical antibiotic, since they reflect the resistance of the most common pathogens. Key words: antibiotic resistance, antibiotics, cephalosporins, fluoroquinolones.

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