THE ROLE OF MICROBIOLOGICAL MONITORING IN THE SYSTEM OF EPIDEMIOLOGICAL SURVEILLANCE OF HOSPITAL INFECTIONS

Purpose of the study: Analysis of the prevalence of etiologic structure and antibiotic resistance profile of pathogens associated with health care (HAI) in surgical and intensive care units of the Belgorod Regional Clinical Hospital of St. Joasaph in dynamics for 2014-2015. Materials and methods: The material provided by the results of clinical observation of purulent inflammatory infections (PII) and bacterial complications in patients over the last 2 years. We used conventional microbiological methods for isolating a pure culture of the pathogen and determine its sensitivity to the antibiotic disk diffusion method and by bacteriological analyzer Walk Away. Studies have blood cultures performed on the analyzer BACTEC Becton Dickinson. We used data qLIS laboratory information system containing information about pathogens HAI in dynamics for 2014-2015 years. Results: In the etiological structure of catheter-related infections were the dominant pathogens S. aureus (15.6%) S. epidermidis MRSA (9%). S. epidermidis (1.7%) and K. pneumoniae (11.3%). and Ent. aerogenes (3.5%). In the microbial landscape of respiratory infections and lung leading microflora were Str. species (31.6%), S. aureus (7%) and P. aeruginoza (6.5%). K. pneumoniae (6.3%) as well as fungi of the genus Candida (8.8%). The etiology of skin and soft tissue infections were problematic pathogens P. aeruginoza (11.7%) E. coli (6.6%) K. pneumoniae (3.9%) and Gr + bacteria S. aureus (20.7%) S. epidermidis (8.8%). Urinary tract infections were mainly caused by E. coli (28.5%). K. pneumoniae (9,1%), Ent. aerogenes (7,5%) and E. faecalis (7%). E. faecium (11%). The etiology intraabdominal infections were problematic pathogens P. aeruginoza (10.7%). E. coli (6.9%). K. pneumoniae (4.9%) and S. aureus (17%) S. epidermidis (8.6%) All cases of nosocomial infections caused by CNS .nt. aerogenes (33.3%) K. pneumoniae (16.7%) A. baumannii (16.7%) and S.epidermidis (16.7%). S. haemolyticus (16.7%). Selected strains of microorganisms characterized by multidrug-resistant to most used antimicrobials in the hospital. Conclusion: The problem of the development of rational treatment algorithms for each hospital remains quite relevant. Without predicting microbiological monitoring, the effectiveness of treatment HAI, it is quite difficult. The study of patterns of spread of pathogens epidemiologically important species allows to predict the intensity and nature of patient infection. Status HAI resistance of pathogens to antibiotics is an important parameter for the rational empirical and then the causal treatment and prevention foundation PII in critically ill patients. Keywords: Nosocomial infections, infectious agents associated with medical care, antibiotic resistance.