Antimicrobial resistance in the Bacteroides fragilis group: National multicenter survey and Bayesian modelling study, France, 2022–2023
Bayesian modeling revealed substantial interspecies and interregional differences in BFG resistance, highlighting the importance of species-level identification and localized surveillance to inform empirical antibiotic therapy.
Authors
- Laure Diancourt (ORCID: https://orcid.org/0000-0002-9670-3274)
- Gauthier Delvallez (ORCID: https://orcid.org/0000-0002-5490-4238)
- Bruno Dupuy (ORCID: https://orcid.org/0000-0001-7176-8453)
- Frédéric Barbut (ORCID: https://orcid.org/0000-0002-4165-0670)
- Hélène Marchandin
- Corentine Alauzet
- Pascal Campagne
Institutions
- Délégation Paris 5 (FR)
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Institut Pasteur (FR)
- Université de Montpellier (FR)
- Université Paris Cité (FR)
- Laboratoire HydroSciences Montpellier (FR)
- Sorbonne Université (FR)
- Hôpital Saint-Antoine (FR)
- Institut de Recherche pour le Développement (FR)
- Université de Lorraine (FR)
Publication Details
- Journal
- Journal of Global Antimicrobial Resistance
- Published
- 2026-01-13
- DOI
- https://doi.org/10.1016/j.jgar.2026.01.003
- Primary Topic
- Bacterial Identification and Susceptibility Testing
- Type
- article
- Field-Weighted Citation Impact
- 0.00