Literature DB >> 30760530

Implementation of Semiautomated Antimicrobial Susceptibility Interpretation Hardware for Nontuberculous Mycobacteria May Overestimate Susceptibility.

Mariëlle Rockland1, Mike Marvin Ruth1, Nicole Aalders1, Lian Pennings1, Wouter Hoefsloot2, Melanie Wattenberg1, Jakko van Ingen3.   

Abstract

Nontuberculous mycobacteria (NTM) cause severe opportunistic infections and have a rising incidence in most settings. Rising diagnostic need must be met by national reference laboratories, which rely on Clinical and Laboratory Standards Institute (CLSI) guideline-approved manual readout of microtiter plates for antimicrobial susceptibility testing (AST) to determine antibiotic minimum inhibitory concentrations (MICs). Interpretation of these plates leads to different outcomes between laboratories. The SensiTitre Vizion digital MIC viewing system (Vizion) offers a more streamlined approach using semiautomated reading. Here, we conducted a blinded trial comparing the outcome of AST between manual readout and Vizion readout for 132 NTM isolates, amounting to 727 individual tests for antibiotic susceptibility ranging across 13 individual antibiotics with established CLSI breakpoints. From this, we calculated specificity, sensitivity, positive predictive value (PPV), negative predictive value (NPV) and the F1 value, as well as assessing major error (ME) and very major error (VME) rates. We find that Vizion-assisted AST produces significantly lower MICs (paired Wilcox signed rank test; P < 0.0001). The Vizion had an accuracy of 89,40%, producing 61 MEs (8.39%) and 16 VMEs (2.20%). The calculated specificity was 0.8370, the sensitivity was 0.9550, the PPV was 0.8460, the NPV was 0.9520, and the F1 score was 0.8970. We show that discrepant readings mostly stem from CLSI guideline breakpoints being close to, or overlapping, the MIC50 values, leading to small discrepancies crossing the breakpoint, contributing to VMEs and MEs. Using the Vizion in standard clinical diagnostics for NTM might lead to an overestimation of antibiotic susceptibility.
Copyright © 2019 American Society for Microbiology.

Entities:  

Keywords:  antibiotics; antimicrobial susceptibility testing; diagnostics; mycobacteria; nontuberculous

Mesh:

Substances:

Year:  2019        PMID: 30760530      PMCID: PMC6440788          DOI: 10.1128/JCM.01756-18

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  2 in total

Review 1.  Innovative and rapid antimicrobial susceptibility testing systems.

Authors:  Alex van Belkum; Carey-Ann D Burnham; John W A Rossen; Frederic Mallard; Olivier Rochas; William Michael Dunne
Journal:  Nat Rev Microbiol       Date:  2020-02-13       Impact factor: 60.633

2.  An Intensified Regimen Containing Linezolid Could Improve Treatment Response in Mycobacterium abscessus Lung Disease.

Authors:  Hua Li; Li Tong; Jun Wang; Qingtao Liang; Yun Zhang; Naihui Chu; Xiaoyou Chen; Hongfei Duan
Journal:  Biomed Res Int       Date:  2019-11-19       Impact factor: 3.411

  2 in total

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