Literature DB >> 33031951

Performance evaluation of the Becton Dickinson Kiestra™ IdentifA/SusceptA.

Damien Jacot1, Garance Sarton-Lohéac1, Alix T Coste1, Claire Bertelli1, Gilbert Greub1, Guy Prod'hom1, Antony Croxatto2.   

Abstract

OBJECTIVES: New automated modules are required to provide fully automated solutions in diagnostic microbiology laboratories. We evaluated the performance of a Becton Dickinson Kiestra™ IdentifA/SusceptA prototype for MALDI-TOF identification (ID) and Phoenix™ antibiotic susceptibility testing (AST).
METHODS: The performance of the IdentifA/SusceptA coupled prototype was compared with manual processing for MALDI-TOF ID on 1302 clinical microbial isolates or ATCC strains and for Phoenix™ M50 AST on 484 strains, representing 61 species.
RESULTS: Overall, the IdentifA exhibited similar ID performances than manual spotting. Higher performances were observed for Gram-negative bacteria with an ID at the species level (score >2) of 96.5% (369/382) and 86.9% (334/384), respectively. A significantly better performance was observed with the IdentifA (95.2%, 81/85) compared with manual spotting (75.2%, 64/85) from colonies on MacConkey agar. Contrariwise, the IdentifA exhibited lower ID performances at the species level than manual processing for streptococci (76.1%, 96/126 compared with 92%, 115/125), coagulase-negative staphylococci (73.3%, 44/60 compared with 90%, 54/60) and yeasts (41.3%, 19/46 compared with 78.2%, 36/46). Staphylococcus aureus and enterococci were similarly identified by the two approaches, with ID rates of 92% (65/70) for the IdentifA and 92.7%, (64/69) for manual processing and 94.8%, (55/58) for the IdentifA and 98.2%, (57/58) for manual processing, respectively. The SusceptA exhibited an AST overall essential agreement of 98.82% (6863/6945), a category agreement of 98.86% (6866/6945), 1.05% (6/570) very major errors, 0.16% (10/6290) major errors, and 0.91% (63/6945) minor errors compared to the reference AST.
CONCLUSIONS: Overall, the automated IdentifA/SusceptA exhibited high ID and AST performances.
Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  AST; Automation; IdentifA; Identification; Kiestra; SusceptA

Mesh:

Substances:

Year:  2020        PMID: 33031951     DOI: 10.1016/j.cmi.2020.09.050

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  2 in total

1.  Performance Evaluation of the Quantamatrix QMAC-dRAST System for Rapid Antibiotic Susceptibility Testing Directly from Blood Cultures.

Authors:  Manon Rosselin; Guy Prod'hom; Gilbert Greub; Antony Croxatto
Journal:  Microorganisms       Date:  2022-06-14

2.  Laboratory Automation in the Microbiology Laboratory: an Ongoing Journey, Not a Tale?

Authors:  Stefan Zimmermann
Journal:  J Clin Microbiol       Date:  2021-02-18       Impact factor: 5.948

  2 in total

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