Evaluation of the VITEK 2 Advanced Expert System performance for predicting resistance mechanisms in Enterobacterales acquired from a hospital-based screening program.
Advanced expert system
AmpC
ESBL
VITEK
beta-lactamase resistance
Journal
Pathology
ISSN: 1465-3931
Titre abrégé: Pathology
Pays: England
ID NLM: 0175411
Informations de publication
Date de publication:
Oct 2021
Oct 2021
Historique:
received:
16
04
2020
revised:
31
12
2020
accepted:
11
01
2021
pubmed:
8
5
2021
medline:
1
2
2022
entrez:
7
5
2021
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 33958177
pii: S0031-3025(21)00092-1
doi: 10.1016/j.pathol.2021.01.009
pii:
doi:
Substances chimiques
Anti-Bacterial Agents
0
Bacterial Proteins
0
beta-Lactamases
EC 3.5.2.6
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
763-767Informations de copyright
Copyright © 2021 Royal College of Pathologists of Australasia. Published by Elsevier B.V. All rights reserved.