Clinical Medical and Surgical Center updated equipment

Clinical Medical and Surgical Center of the Ministry of Health of the Omsk region has received new equipment for bacteriological laboratory.

Bacteriological laboratory in 2012 Bouzou "KMHTS MZOO" commissioned a blood analyzer, which will quickly detect sepsis bacterial and fungal etiology, significantly reducing the time of the analysis.

Bacteriological BACTEC 9120 blood analyzerof Becton Dickenson made in the USA, acquired the Centre to increase the capacity of the bacteriological laboratory, began its work. The volume and throughput is the only machine in Omsk this class. It is designed for screening analysis of blood cultures. The equipment allows you to:

  • Promptly detect bacterial and fungal sepsis etiology;
  • Significantly reduce the time and improve the efficiency of processing blood cultures and other "sterile" of body fluids (peritoneal, synovial, pleural, cerebrospinal fluid, etc.);
  • Efficiency instrument — 95% of positive results during the first day (in practice from three to twelve hours);
  • At the same time can be studied up to 120 blood samples with the possibility of a daily load of 10-20 new ones.

The production capacity of the unit more than 6500 studies per year, and the indispensability of the device, as well as gemokultivirovaniya in general, it is difficult to overestimate.

Also, until the end of 2012 to the microbiology laboratory Bouzou "KMHTS MZOO" will go a fully automated system for the identification of microorganisms and susceptibility to antimicrobial agents — bakanalizator VITEC 2 Compact 30 (With a capacity of 60 tests per day). This device provides the antibiogram results, together with the date of receipt of a pure culture (aerobic on the 2d., Anaerobes — 3d.). Despite the widespread introduction of programs for the rational use of antibiotics and an effective disease control in hospitals, the problem of multiple antibiotic resistance remains a major public health problem. Using the work of the laboratory is fully automated detection of drug resistance after the isolation and identification of the causative agent of infection for a day or two will solve this problem more effectively.

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