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Title: | Evaluation of the VITEK 2 Advanced Expert System performance for predicting resistance mechanisms in Enterobacterales acquired from a hospital-based screening program. | Austin Authors: | Chan, Eddie;Leroi, Marcel J | Affiliation: | Department of Microbiology, Austin Health, Heidelberg, Vic, Australia Department of Infectious Diseases, Austin Health, Heidelberg, Vic, Australia |
Issue Date: | 3-May-2021 | Date: | 2021-05-03 | Publication information: | Pathology 2021; 53(6): 763-767 | Abstract: | There is limited literature examining the accuracy of the VITEK 2 Advanced Expert System (AES) in characterisation of β-lactamase resistance patterns. We present a prospective single centre study to better ascertain the performance characteristics of this program. The VITEK 2 AES interpretation was compared to established laboratory phenotypic methods. The overall sensitivity for detection of broad-spectrum β-lactamase by the AES was 95%, with a specificity of 78%. One or more discrepancies were noted in 36% of samples, with the majority of these (87/100) due to incorrect 'overcall' of a resistance mechanism. AES characterisation of AmpC resistance mechanisms was excellent. In contrast, the AES had poor specificity in classifying extended spectrum β-lactamases (ESBLs). As a screening aid, the AES can be a valuable tool. However, optimal use requires an adequate working knowledge of resistance mechanisms in order to correctly interpret and accept the result output. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/26414 | DOI: | 10.1016/j.pathol.2021.01.009 | Journal: | Pathology | PubMed URL: | 33958177 | Type: | Journal Article | Subjects: | Advanced expert system AmpC ESBL VITEK beta-lactamase resistance |
Appears in Collections: | Journal articles |
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