Multicentre interlaboratory analysis of routine susceptibility testing with a challenge panel of resistant strains. (March 2022)

• Record Type: Journal Article
• Authors: Deckers, Corentin; Soleimani, Reza; Denis, Olivier; Bogaerts, Pierre; Berhin, Catherine; Rodríguez-Villalobos, Hector; Descy, Julie; Hallin, Marie; Nonhoff, Claire; Desmet, Stefanie; Magerman, Koen; Van den Abeele, Anne Marie; Lissoir, Bénédicte; Matheeussen, Veerle; Vernelen, Kris; Huang, Te-Din
• Is Part Of: Journal of global antimicrobial resistance. Volume 28(2022)
• Page Start: 125
• Page End: 129
• Publication Date: 2022-03
• Subjects: Interlaboratory assay -- Quality control -- Multidrug-resistant organisms -- Automated susceptibility testing -- Disk diffusion; Drug resistance -- Periodicals; Drug resistance -- Periodicals; Drug resistance; Periodicals; 616.9041
• DOI: 10.1016/j.jgar.2021.12.020
• Languages: English
• ISSNs: 2213-7165

Abstract

Highlights: Quality control should include organisms with relevant and emerging resistances. A challenge panel of 12 multidrug-resistant organisms was tested by nine laboratories. Overall categorical agreement was >90% for all but one strain. Higher discrepancies were observed for fosfomycin, meropenem, aztreonam and tigecycline. ABSTRACT: Objectives: In order to elaborate a new national challenge panel of resistant Gram-negative bacilli and Gram-positive cocci strains for the validation of routine antimicrobial susceptibility testing (AST) methods, an interlaboratory evaluation was organised. Methods: The results of 12 well-characterised multidrug-resistant strains tested by nine laboratories using local disk diffusion (DD) and automated AST (AUST) methods were compared with the reference broth microdilution method. Results: Overall categorical agreement ranged from 70% to 100% both for DD and AUST and was >90% for all but one strain for all antibiotics. Conclusion: Our multicentre AST study showed good reproducibility and the panel can be used as national resistant reference strains for routine AST validation.