Simon, Michaela and Gatermann, Soeren and Pfeifer, Yvonne and Reischl, Udo and Gessner, Andre and Jantsch, Jonathan (2019) Evaluation of the automated BD Phoenix CPO Detect panel in combination with the beta-CARBA assay for detection and classification of carbapenemase-producing Enterobacterales. JOURNAL OF MICROBIOLOGICAL METHODS, 156. pp. 29-33. ISSN 0167-7012, 1872-8359
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Recently, the CPO Detect panel for the detection of carbapenemase-producing, Gram-negative bacteria was introduced for the Phoenix semi-automated antimicrobial susceptibility testing system. The CPO Detect assay aims to detect carbapenemase activity (P/N test) and to type carbapenemase producers according to the Ambler classification (Ambler test). The P/N test-based detection of carbapenemase producers was 100% sensitive and 55.3% specific in the assessment of 57 carbapenemase-producing and 38 non-carbapenemase-producing Enterobacterales. False-positive test isolates in the P/N test arose from carbapenemase-non-producing, but carbapenem-non-susceptible isolates. In contrast, using the Ambler test-based approach for carbapenemase detection resulted in a specificity of 100% and a sensitivity of 79%. In order to improve the overall performance, we established an algorithm that additionally included the colorimetric beta-CARBA assay as downstream test for P/N test-positive isolates, which remained un-typed in the Ambler test. This algorithm displayed an overall sensitivity and specificity of 98.3% and 100%, respectively. Our data demonstrate that the combination of the CPO Detect assay with the beta-CARBA test allows for rapid detection and classification of carbapenemase-producing Enterobacterales.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | RAPID DETECTION; TESTS; NP; Ambler classification; Carbapenemase detection; Carbapenem resistance; Phenotypic colorimetric test |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Medizinische Mikrobiologie und Hygiene |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 22 Apr 2020 05:55 |
| Last Modified: | 22 Apr 2020 05:55 |
| URI: | https://pred.uni-regensburg.de/id/eprint/27854 |
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