Monitoring Antimicrobial Resistance and Drug Usage in the Human and Livestock Sector and Foodborne Antimicrobial Resistance in Six European Countries.

AMR AMU food-producing animals harmonization monitoring surveillance

Journal

Infection and drug resistance
ISSN: 1178-6973
Titre abrégé: Infect Drug Resist
Pays: New Zealand
ID NLM: 101550216

Informations de publication

Date de publication:
2020
Historique:
received: 01 11 2019
accepted: 26 02 2020
entrez: 21 4 2020
pubmed: 21 4 2020
medline: 21 4 2020
Statut: epublish

Résumé

Antimicrobial resistance (AMR), associated with antimicrobial use (AMU), is a major public concern. Surveillance and monitoring systems are essential to assess and control the trends in AMU and AMR. However, differences in the surveillance and monitoring systems between countries and sectors make comparisons challenging. The purpose of this article is to describe all surveillance and monitoring systems for AMU and AMR in the human and livestock sectors, as well as national surveillance and monitoring systems for AMR in food, in six European countries (Spain, Germany, France, the Netherlands, the United Kingdom and Norway) as a baseline for developing suggestions to overcome current limitations in comparing AMU and AMR data. A literature search in 2018 was performed to identify relevant peer-reviewed articles and national and European grey reports as well as AMU/AMR databases. Comparison of AMU and AMR systems across the six countries showed a lack of standardization and harmonization with different AMU data sources (prescription vs sales data) and units of AMU and AMR being used. The AMR data varied by sample type (clinical/non-clinical), laboratory method (disk diffusion, microdilution, and VITEK, among others), data type, ie quantitative (minimum inhibition concentration (MIC) in mg/L/inhibition zone (IZ) in mm) vs qualitative data (susceptible-intermediate-resistant (SIR)), the standards used (EUCAST/CLSI among others), and/or the evaluation criteria adopted (epidemiological or clinical). A One Health approach for AMU and AMR requires harmonization in various aspects between human, animal and food systems at national and international levels. Additionally, some overlap between systems of AMU and AMR has been encountered. Efforts should be made to improve standardization and harmonization and allow more meaningful analyses of AMR and AMU surveillance data under a One Health approach.

Identifiants

pubmed: 32308439
doi: 10.2147/IDR.S237038
pii: 237038
pmc: PMC7140725
doi:

Types de publication

Journal Article

Langues

eng

Pagination

957-993

Informations de copyright

© 2020 Mesa Varona et al.

Déclaration de conflit d'intérêts

The authors declare grants from European Union’s Horizon 2020 research and innovation programme during the conduct of the study. The authors report no other possible conflicts of interest in this work.

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Auteurs

Octavio Mesa Varona (O)

Department of Biological Safety, German Federal Institute for Risk Assessment (BfR), Berlin, Germany.

Katerina Chaintarli (K)

Department of Bacteriology, Animal and Plant Health Agency (APHA), Addlestone, Surrey, UK.

Berit Muller-Pebody (B)

Healthcare-Associated Infections & Antimicrobial Resistance Division, National Infection Service, Public Health England (PHE), London, UK.

Muna F Anjum (MF)

Department of Bacteriology, Animal and Plant Health Agency (APHA), Addlestone, Surrey, UK.

Tim Eckmanns (T)

Department for Infectious Disease Epidemiology, Robert Koch Institute (RKI), Berlin, Germany.

Madelaine Norström (M)

Department of Analysis and Diagnostics, Section of Epidemiology, Norwegian Veterinary Institute (NVI), Oslo, Norway.

Ides Boone (I)

Department for Infectious Disease Epidemiology, Robert Koch Institute (RKI), Berlin, Germany.

Bernd-Alois Tenhagen (BA)

Department of Biological Safety, German Federal Institute for Risk Assessment (BfR), Berlin, Germany.

Classifications MeSH