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. 2022 Feb 23;67(2):101-105.
doi: 10.51620/0869-2084-2022-67-2-101-105.

Analysis of the etiology of the structure of bloodstream infections using the automatic bacteriological analyzer Yunon® Labstar

Olga Yurievna Kutsevalova  1 , Yu Yu Kozel  1 , A I Alaverdyan  2 , D A Gusak  3
Affiliations

Analysis of the etiology of the structure of bloodstream infections using the automatic bacteriological analyzer Yunon® Labstar

Olga Yurievna Kutsevalova et al. Klin Lab Diagn. .

Abstract

The analysis of the etiology of pathogens of blood flow was carried out using an automatic bacteriological analyzer YUNONA® Labstar 100. In the etiology of blood infections, the most common pathogens are gram-negative bacteria 62.3%. Gram-positive pathogens are much less common - 32.1%. Yeast fungi of the genus Candida, as the most common causative agents of invasive mycoses, in terms of frequency of occurrence is not higher than 3.7%. Anaerobic bacteria - 1.9%. A blood test using the automatic analyzer JUNONA® Labstar 100 allows you to expand the species spectrum of pathogens and reduce the time for issuing results. All tested commercial culture media for the automatic analyzer YUNONA® Labstar 100 (SCENKER Biological Technology Co., Ltd., China).

Keywords: diagnostics; infections; pathogens; sepsis.

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Conflict of interest statement

The authors declare no conflict of interest.

References

    1. Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016. Critical Care Medicine. 2017; 45(3): 486-552. https://doi.org/10.1097/CCM.0000000000002255
    1. Bagirova N.S. Diagnosis of Bacteremia. Consilium Medicum. 2002; 4(1): 46-54. (in Russian)
    1. Boronina L. G. Expansion of opportunities in the diagnosis of bacteremia and sepsis in children in a multidisciplinary hospital. Klinicheskaya Laboratornaya Diagnostika. 2019; 64(10): 613-9. (in Russian)
    1. Boronina L.G., Samatova E.V., Kukushkina M.P., Panova S.A., Ustyugova S.S., Inside laboratory quality control of culture media for the automatic bacteriological analyzer YUNONA® LABSTAR 50. Klinicheskaya Laboratornaya Diagnostika. 2021; 66(2): 110-4. https://doi.org/10.51620/0869-2084-2021-66-2-110-114 (in Russian)
    1. Hughes S. Bacterial and fungal coinfection among hospitalized patients with COVID-19: a retrospective cohort study in a UK secondary-care setting. Clin. Microbiol. Infect. 2020 Oct; 26(10): 1395-9. https://doi.org/10.1016/j.cmi.2020.06.025 Epub 2020 Jun 27.

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