Character of wound microflora and resistance to antibiotics: monitoring results 2012–2020

Abstract

The aim of the study was to improve the microbiological diagnosis of surgical infections, collect and analyze the data on the spectrum of surgical microflora and monitoring of antibiotic resistance in the period from 2012 to 2020.The research material was the separation of surgical wounds of patients, cultures of gram-negative and gram-positive bacteria isolated from the biological material of patients by the bacteriological method, the results of testing the sensitivity of bacterial cultures to antibiotics by diffusion into agar and using semi-automatic analyzers VITEK-2.A 9-year multicenter monitoring of the species composition of bacteria associated with wound infections revealed a high frequency of isolation of a number of conditionally pathogenic microorganisms – Escherichia spp., Klebsiella spp., Pseudomonas spp., Acinetobacter spp., Enterococcus spp., Streptococcus spp., Staphylococcus spp., Citrobacter spp., Proteus spp. In the period from 2012 to 2020, the amount of information entered into the computer database about these bacterial strains increased 1.4–2.0 times. Monitoring of bacterial resistance to antibiotics during this period showed a high level and dynamics to 3rd generation cephalosporins, carbapenems, and other classes. The lowest levels of resistance were found among the strains of Escherichia and the highest – Klebsiella, Pseudomonas and Acinetobacter. Staphylococci are characterized by high percentage of methicillin-resistant strains.Gram-negative (Escherichia, Klebsiella, Pseudomonas, Acinetobacter) and gram-positive (Enterococci, Streptococci, Staphylococci) are detected in the surgical patients with UTI with a high frequency. Surgical pathogens are characterized by a high level of resistance to 3rd generation cephalosporin, carbapenems, and other antibiotics. Long-term monitoring of bacterial resistance to antibiotics makes it possible to increase the effectiveness of laboratory diagnostics of surgical infections, to assess a resistance level of pathogens, an antibacterial therapy strategy and a medical aid quality.