Rapid Direct Identification of Microbial Pathogens and Antimicrobial Resistance Genes in Positive Blood Cultures Using a Fully Automated Multiplex PCR Assay.

Autor:	Kim KJ; Department of Laboratory Medicine, Korea University College of Medicine, Seoul, Korea., Yun SG; Department of Laboratory Medicine, Korea University College of Medicine, Seoul, Korea., Cho Y; Department of Laboratory Medicine, Korea University College of Medicine, Seoul, Korea., Lee CK; Department of Laboratory Medicine, Korea University College of Medicine, Seoul, Korea., Nam MH; Department of Laboratory Medicine, Korea University College of Medicine, Seoul, Korea. yuret@korea.ac.kr.
Jazyk:	angličtina
Zdroj:	Journal of Korean medical science [J Korean Med Sci] 2024 May 06; Vol. 39 (17), pp. e157. Date of Electronic Publication: 2024 May 06.
DOI:	10.3346/jkms.2024.39.e157
Abstrakt:	This study assessed the performance of the BioFire Blood Culture Identification 2 (BCID2) panel in identifying microorganisms and antimicrobial resistance (AMR) profiles in positive blood cultures (BCs) and its influence on turnaround time (TAT) compared with conventional culture methods. We obtained 117 positive BCs, of these, 102 (87.2%) were correctly identified using BCID2. The discordance was due to off-panel pathogens detected by culture (n = 13), and additional pathogens identified by BCID2 (n = 2). On-panel pathogen concordance between the conventional culture and BCID2 methods was 98.1% (102/104). The conventional method detected 19 carbapenemase-producing organisms, 14 extended-spectrum beta-lactamase-producing Enterobacterales, 18 methicillin-resistant Staphylococcus spp., and four vancomycin-resistant Enterococcus faecium . BCID2 correctly predicted 53 (96.4%) of 55 phenotypic resistance patterns by detecting AMR genes. The TAT for BCID2 was significantly lower than that for the conventional method. BCID2 rapidly identifies pathogens and AMR genes in positive BCs. Competing Interests: The authors have no potential conflicts of interest to disclose. (© 2024 The Korean Academy of Medical Sciences.)
Databáze:	MEDLINE
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