Epidemiological cut-off values for Yersina ruckeri disc diffusion data generated by a standardised method - Anses - Agence nationale de sécurité sanitaire de l’alimentation, de l’environnement et du travail Accéder directement au contenu
Article Dans Une Revue Diseases of Aquatic Organisms Année : 2024

Epidemiological cut-off values for Yersina ruckeri disc diffusion data generated by a standardised method

Edel Light
  • Fonction : Auteur
VMD
Pierre-Marie M Boitard
  • Fonction : Auteur
Alain Le Breton
  • Fonction : Auteur
Christian Ravaille
  • Fonction : Auteur

Résumé

In order to establish the meaning of data generated in antimicrobial agent susceptibility tests, it is necessary to develop internationally harmonised interpretive criteria. Currently, such criteria have not been developed for data generated in studies of the susceptibility of the fish pathogen Yersinia ruckeri. This work generated the data that would be required to set epidemiological cut-off values for the susceptibility data of this species that had been generated using a standardised disc diffusion method that specified the use of Mueller Hinton agar and incubation at 22°C for 24-28 h. Using this method, sets of inhibition zones data for 4 antimicrobial agents were generated by 3 independent laboratories. The data from these laboratories were aggregated and analysed using the statistically based normalised resistance interpretation. For ampicillin, florfenicol, oxytetracycline and trimethoprim-sulfamethoxazole the cut-off values calculated by this analysis were ≥16, ≥23, ≥24 and ≥30 mm, respectively. Evidence is presented demonstrating that the data for these 4 agents was of sufficient quantity and quality that they could be used by the relevant authorities to set internationally harmonised, consensus epidemiological cut-off values for Y. ruckeri.
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anses-04574853 , version 1 (14-05-2024)

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Peter Smith, Laëtitia Le Devendec, Eric Jouy, Emeline Larvor, David Verner-Jeffreys, et al.. Epidemiological cut-off values for Yersina ruckeri disc diffusion data generated by a standardised method. Diseases of Aquatic Organisms, 2024, 158, pp.21-25. ⟨10.3354/dao03779⟩. ⟨anses-04574853⟩

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