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Robotic antimicrobial susceptibility platform for surveillance of antimicrobial resistance in sentinel species
Journal article   Open access   Peer reviewed

Robotic antimicrobial susceptibility platform for surveillance of antimicrobial resistance in sentinel species

Alec Truswell, Rebecca Abraham, John Blinco, Tanya Laird, Mark O'Dea, Michaela Burton, Seung Jun Lee, Shai Kaplan, John Turnidge, Darren Trott, …
Journal of Global Antimicrobial Resistance, Vol.31(Supp1), pp.S24-S24
2022
DOI: https://doi.org/10.1016/S2213-7165(22)00319-8
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Published (Version of Record)CC BY-NC-ND V4.0,  Open Access
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https://doi.org/10.1016/S2213-7165(22)00319-8View
Published (Version of Record) Open

Abstract

Aim: To facilitate the high-throughput, large-scale surveillance of antimicrobial resistance (AMR) in sentinel species Escherichia coli and Enterococcus spp. using a robotic antimicrobial susceptibility platform (RASP). Background: Surveillance of AMR is a key component in its management. The cost- and labour-intensive nature of traditional microbiological methods makes them difficult to apply to the practice of AMR surveillance, due to the scale of sampling required to produce representative data. The RASP platform was developed to bypass these historic constraints. Methods: Two experiments were designed to validate RASP through comparison against an experienced human technician for antimicrobial susceptibility testing of Escherichia coli and Enterococcus faecium and faecalis using a panel of 12 antimicrobials. Experiment 1 compared both technicians’ ability to generate consistent minimum inhibitory concentrations (MICs). Experiment 2 assessed the level of agreeance on isolate MIC determination, between the two technicians across 96 isolates per species. Both technicians complied with internationally recognised standards (CLSI and ISO 20776–1:2019). Results: Experiment 1 showed most of RASP’s replicates to deviate by zero or one doubling dilution. Regarding Experiment 2, concordance correlation coefficients between RASP and the human technician were as follows: Escherichia coli = 0.967, (95%CI: 0.9670–0.9670), N = 1092; Enterococcus faecium 0.951 (95% CI 0.945–0.957), N = 948; Enterococcus faecalis = 0.993 (95% CI 0.993–0.994), N = 1127. Conclusions: The RASP platform performed broth microdilution of comparative quality to those performed by an experienced human technician, while proving superior in cost and throughput. Utilisation of RASP can expand the coverage and accuracy of AMR surveillance.

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