Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/26414
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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