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  3. ENOVAT: the European Network for Optimization of Veterinary Antimicrobial Treatment.
 

ENOVAT: the European Network for Optimization of Veterinary Antimicrobial Treatment.

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BORIS DOI
10.48620/36343
Publisher DOI
10.12688/openreseurope.18016.2
PubMed ID
39247170
Description
The global antimicrobial resistance crisis has been the driver of several international strategies on antimicrobial stewardship. For their implementation at the field level, the veterinary sector encounters several specific challenges and in particular: (i) a shortage of experts in key disciplines related to antimicrobial stewardship, (ii) a lack of evidence-based antimicrobial treatment guidelines, and (iii) inferior diagnostic tests available compared to human medicine. The present white paper describes how the COST Action ENOVAT (the European Network for Optimization of Veterinary Antimicrobial Treatment, CA18217), comprising 332 persons from 51 countries, worked towards solutions to these challenges. Initially, surveys were conducted to explore the present state in Europe in terms of existing antimicrobial use guidelines and microbiology practices performed. Concurrently, various research activities were launched to optimize diagnostics, including development of epidemiological cut-offs, clinical breakpoints and matrix-assisted laser desorption ionization time of flight mass spectrometry interpretive criteria. Also, guidelines drafting groups working towards evidence-based antimicrobial treatment guidelines for six conditions in food-producing and companion animals were established. The processes and outcomes, also in terms of capacity building, are summarized in this white paper where emphasis is placed on sustainability of the activities. Although several ENOVAT initiatives and spin-off projects will continue beyond the Action, we recommend that a new European veterinary research agenda is launched focusing on research and funding leading to long-term impacts on veterinary antimicrobial use.Antimicrobial resistance is an urgent global public health threat that is amplified by over- and misuse of antimicrobials. As a result of antimicrobial resistance, antibiotics and other antimicrobial medicines become ineffective and infections become difficult or impossible to treat. This goes for human infections, but also for infections in animals. In a recently finished European project called ENOVAT we tried to tackle the problem of antimicrobial resistance in animals. We focused on two topics. First we optimized and harmonized diagnostics of bacterial infections in the laboratory, and second we developed evidence-based treatment guidelines to support veterinary practitioners on how and when to use antibiotics in the best way. Improved diagnostics and new treatment guidelines can help veterinary practitioners to a more sensible antibiotic choice and with that less over- and misuse of antimicrobials. This article summarizes the process and progress of the work done in the ENOVAT project. Emphasis is also put on how the project benefitted from a unique consortium encompassing 332 professionals with diverse backgrounds, from 51 countries.
Date of Publication
2024
Publication Type
Article
Subject(s)
600 Technology > 630 Agriculture
Keyword(s)
Antimicrobial
•
ECOFF
•
MALDI-TOF MS
•
antimicrobial resistance
•
antimicrobial treatment
•
clinical breakpoint
•
diagnostics
•
microbiology
•
treatment guideline
•
veterinary medicine
Language(s)
en
Contributor(s)
Damborg, Peter
Allerton, Fergus
Bousquet-Mélou, Alain
Britt, Chantal
Cagnardi, Petra
Carmo, Luis Pedroorcid-logo
Cvetkovikj, Iskra
Erhard, Marcel
Heuvelink, Annet
Jessen, Lisbeth Rem
Overesch, Gudrun
Institute of Veterinary Bacteriology, ZOBA
Institute of Veterinary Bacteriology (IVB)
Pelligand, Ludovic
Gómez Raja, Jonathan
Scahill, Karolina
Timofte, Dorina
Vale, Ana P
Veldman, Kees
Broens, Els M
Additional Credits
Institute of Veterinary Bacteriology, ZOBA
Department of Infectious Diseases and Pathobiology (DIP)
Series
Open Research Europe
Publisher
European Commission
ISSN
2732-5121
Access(Rights)
open.access
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