Antibiotic susceptibility testing of Staphylococcus aureus using the Biolog OmniLog® system, a metabolic phenotyping assay.
Autor: | Vaillant JJ; Division of Public Health, Infectious Diseases, and Occupational Medicine, Mayo Clinic, Rochester, MN, USA., Cunningham SA; Division of Clinical Microbiology, Mayo Clinic, Rochester, MN, USA., Patel R; Division of Public Health, Infectious Diseases, and Occupational Medicine, Mayo Clinic, Rochester, MN, USA; Division of Clinical Microbiology, Mayo Clinic, Rochester, MN, USA. Electronic address: patel.robin@mayo.edu. |
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Jazyk: | angličtina |
Zdroj: | Diagnostic microbiology and infectious disease [Diagn Microbiol Infect Dis] 2022 Oct; Vol. 104 (2), pp. 115759. Date of Electronic Publication: 2022 Jul 01. |
DOI: | 10.1016/j.diagmicrobio.2022.115759 |
Abstrakt: | Use of the Biolog OmniLog® phenotyping system for antibiotic susceptibility testing (AST) was evaluated using 51 clinical isolates of Staphylococcus aureus. MIC testing by broth microdilution was compared to results generated using the OmniLog® system for oxacillin, daptomycin, vancomycin, gentamicin, linezolid, and tetracycline. There was >90% essential and categorical agreement between methods for all antibiotics, except gentamicin, which had 83.6% essential agreement, although very major errors occurred with linezolid (n = 3) and daptomycin (n = 1). Precision was satisfactory, with 5 triplicate measurements in agreement. A quantitative threshold allowed automated interpretation of MICs yielding results comparable to manual interpretation; oxacillin, gentamicin, and tetracycline resistance could be identified at a median of 7.13, 5.25, and 7.25 hours, respectively. Limitations include the small number of isolates, and especially resistant isolates tested, and the focus on a single species. Overall, the OmniLog® system was a precise method for AST of S. aureus, although accuracy was imperfect. Competing Interests: Declaration of competing interest The authors report no conflicts of interest relevant to this article. (Copyright © 2022 Mayo Clinic. Published by Elsevier Inc. All rights reserved.) |
Databáze: | MEDLINE |
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