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Delpy L, Astbury CC, Aenishaenslin C, Ruckert A, Penney TL, Wiktorowicz M, Ciss M, Benko R, Bordier M. Integrated surveillance systems for antibiotic resistance in a One Health context: a scoping review. BMC Public Health 2024; 24:1717. [PMID: 38937706 PMCID: PMC11210117 DOI: 10.1186/s12889-024-19158-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 06/14/2024] [Indexed: 06/29/2024] Open
Abstract
BACKGROUND Antibiotic resistance (ABR) has emerged as a major threat to health. Properly informed decisions to mitigate this threat require surveillance systems that integrate information on resistant bacteria and antibiotic use in humans, animals, and the environment, in line with the One Health concept. Despite a strong call for the implementation of such integrated surveillance systems, we still lack a comprehensive overview of existing organizational models for integrated surveillance of ABR. To address this gap, we conducted a scoping review to characterize existing integrated surveillance systems for ABR. METHODS The literature review was conducted using the PRISMA guidelines. The selected integrated surveillance systems were assessed according to 39 variables related to their organization and functioning, the socio-economic and political characteristics of their implementation context, and the levels of integration reached, together with their related outcomes. We conducted two distinct, complementary analyses on the data extracted: a descriptive analysis to summarize the characteristics of the integrated surveillance systems, and a multiple-correspondence analysis (MCA) followed by a hierarchical cluster analysis (HCA) to identify potential typology for surveillance systems. RESULTS The literature search identified a total of 1330 records. After the screening phase, 59 references were kept from which 14 integrated surveillance systems were identified. They all operate in high-income countries and vary in terms of integration, both at informational and structural levels. The different systems combine information from a wide range of populations and commodities -in the human, animal and environmental domains, collection points, drug-bacterium pairs, and rely on various diagnostic and surveillance strategies. A variable level of collaboration was found for the governance and/or operation of the surveillance activities. The outcomes of integration are poorly described and evidenced. The 14 surveillance systems can be grouped into four distinct clusters, characterized by integration level in the two dimensions. The level of resources and regulatory framework in place appeared to play a major role in the establishment and organization of integrated surveillance. CONCLUSIONS This study suggests that operationalization of integrated surveillance for ABR is still not well established at a global scale, especially in low and middle-income countries and that the surveillance scope is not broad enough to obtain a comprehensive understanding of the complex dynamics of ABR to appropriately inform mitigation measures. Further studies are needed to better characterize the various integration models for surveillance with regard to their implementation context and evaluate the outcome of these models.
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Affiliation(s)
- Léo Delpy
- ASTRE, University of Montpellier, CIRAD, INRAE, Montpellier, France
- CIRAD, UMR ASTRE, Dakar, Senegal
- National Laboratory for Livestock and Veterinary Research, Senegalese Institute of Research in Agriculture, Dakar, Senegal
| | - Chloe Clifford Astbury
- Global Food Systems & Policy Research, School of Global Health, York University, Toronto, Canada
- Dahdaleh Institute for Global Health Research, York University, Toronto, Canada
| | - Cécile Aenishaenslin
- Research Group On Epidemiology of Zoonoses and Public Health (GREZOSP), University of Montréal, Saint-Hyacinthe, Québec, Canada
- Centre de Recherche en Santé Publique de L'Université de Montréal Et du Centre Intégré Universitaire de Santé Et de Services Sociaux (CIUSS) du Centre-Sud-de-L'île-de-Montréal, Montréal, Québec, Canada
| | - Arne Ruckert
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Tarra L Penney
- Global Food Systems & Policy Research, School of Global Health, York University, Toronto, Canada
- Dahdaleh Institute for Global Health Research, York University, Toronto, Canada
| | - Mary Wiktorowicz
- Dahdaleh Institute for Global Health Research, York University, Toronto, Canada
- School of Global Health, York University, Toronto, Canada
| | - Mamadou Ciss
- National Laboratory for Livestock and Veterinary Research, Senegalese Institute of Research in Agriculture, Dakar, Senegal
| | - Ria Benko
- Institute of Clinical Pharmacy, University of Szeged, Szeged, Hungary
| | - Marion Bordier
- ASTRE, University of Montpellier, CIRAD, INRAE, Montpellier, France.
- CIRAD, UMR ASTRE, Dakar, Senegal.
- National Laboratory for Livestock and Veterinary Research, Senegalese Institute of Research in Agriculture, Dakar, Senegal.
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2
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Do PC, Assefa YA, Batikawai SM, Reid SA. Strengthening antimicrobial resistance surveillance systems: a scoping review. BMC Infect Dis 2023; 23:593. [PMID: 37697310 PMCID: PMC10496311 DOI: 10.1186/s12879-023-08585-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 09/05/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND Antimicrobial resistance (AMR) is an emerging global public health crisis. Surveillance is a fundamental component in the monitoring and evaluation of AMR mitigation endeavours. The primary aim of the scoping review is to identify successes, barriers, and gaps in implementing AMR surveillance systems and utilising data from them. METHODS PubMed, Web of Science, SCOPUS, and EMBASE databases were searched systematically to identify literature pertaining to implementation, monitoring, and evaluation of AMR surveillance systems. A thematic analysis was conducted where themes within the literature were inductively grouped based on the described content. RESULTS The systematic search yielded 639 journal articles for screening. Following deduplication and screening, 46 articles were determined to be appropriate for inclusion. Generally, most studies focused on human AMR surveillance (n = 38, 82.6%). Regionally, there was equal focus on low- and middle-income countries (n = 7, 15.2%) and trans-national contexts (n = 7, 14.5%). All included articles (n = 46, 100.0%) discussed barriers to either implementing or utilising AMR surveillance systems. From the scoping review, 6 themes emerged: capacity for surveillance, data infrastructure, policy, representativeness, stakeholder engagement, and sustainability. Data infrastructure was most frequently discussed as problematic in evaluation of surveillance systems (n = 36, 75.0%). The most frequent success to surveillance system implementation was stakeholder engagement (n = 30, 65.2%). CONCLUSIONS Experiences of AMR surveillance systems are diverse across contexts. There is a distinct separation of experiences between systems with emerging surveillance systems and those with established systems. Surveillance systems require extensive refinement to become representative and meet surveillance objectives.
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Affiliation(s)
- Phu Cong Do
- School of Public Health, Faculty of Medicine, The University of Queensland, Herston, Australia.
| | - Yibeltal Alemu Assefa
- School of Public Health, Faculty of Medicine, The University of Queensland, Herston, Australia
| | | | - Simon Andrew Reid
- School of Public Health, Faculty of Medicine, The University of Queensland, Herston, Australia
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3
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Treilles M, Châtre P, Drapeau A, Madec JY, Haenni M. Spread of the mcr-1 colistin-resistance gene in Escherichia coli through plasmid transmission and chromosomal transposition in French goats. Front Microbiol 2023; 13:1023403. [PMID: 36687643 PMCID: PMC9846274 DOI: 10.3389/fmicb.2022.1023403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 12/09/2022] [Indexed: 01/06/2023] Open
Abstract
Introduction Colistin-resistance widely disseminated in food-producing animals due to decades of colistin use to treat diarrhea. The plasmid-borne mcr-1 gene has been extensively reported from bovine, swine and chicken worldwide, but smaller productions such as the goat farming sector were much less surveyed. Methods We looked for colistin-resistant isolates presenting plasmid-borne genes of the mcr family in both breeding (n=80) and fattening farms (n=5). Localization of the mcr-1 gene was performed using Southern blot analysis coupled to short-read and long-read sequencing. Results Only the mcr-1 gene was identified in 10% (8/80) of the breeding farms and four over the five fattening farms. In total, 4.2% (65/1561) of the animals tested in breeding farms and 60.0% (84/140) of those tested in fattening farms presented a mcr-1-positive E. coli. The mcr-1 gene was located either on the chromosome (32.2%) or on IncX4 (38.9%) and IncHI2 (26.8%) plasmids. As expected, both clonal expansion and plasmidic transfers were observed in farms where the mcr-1 gene was carried by plasmids. Tn6330 transposition was observed in the chromosome of diverse E. coli sequence types within the same farm. Discussion Our results show that the mcr-1 gene is circulating in goat production and is located either on plasmids or on the chromosome. Evidence of Tn6330 transposition highlighted the fact that chromosomal insertion does not impair the transmission capability of the mcr-1 gene. Only strict hygiene and biosecurity procedures in breeding farms, as well as a prudent use of antibiotics in fattening farms, can avoid such complex contamination pathways.
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Affiliation(s)
- Michaël Treilles
- Laboratoire d’Analyse Qualyse, Champdeniers Saint-Denis, France,Association Régionale de Prévention contre la résistance aux Antimicrobiens, Champdeniers Saint Denis, France
| | - Pierre Châtre
- Unité Antibiorésistance et Virulence Bactériennes, Agence Nationale de Sécurité Sanitaire (ANSES) – Université de Lyon, Lyon, France
| | - Antoine Drapeau
- Unité Antibiorésistance et Virulence Bactériennes, Agence Nationale de Sécurité Sanitaire (ANSES) – Université de Lyon, Lyon, France
| | - Jean-Yves Madec
- Unité Antibiorésistance et Virulence Bactériennes, Agence Nationale de Sécurité Sanitaire (ANSES) – Université de Lyon, Lyon, France
| | - Marisa Haenni
- Unité Antibiorésistance et Virulence Bactériennes, Agence Nationale de Sécurité Sanitaire (ANSES) – Université de Lyon, Lyon, France,*Correspondence: Marisa Haenni, ✉
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4
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Collineau L, Godebert E, Thibaut S, Lemenand O, Birgand G, Caillon J, Bourely C. Evaluation of the French surveillance system for epidemiological surveillance of antimicrobial resistance in the community and nursing homes. JAC Antimicrob Resist 2022; 4:dlac078. [PMID: 35795245 PMCID: PMC9251505 DOI: 10.1093/jacamr/dlac078] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 06/14/2022] [Indexed: 11/14/2022] Open
Abstract
Background Antimicrobial resistance (AMR) has been widely recognized as a major public health issue, which can be addressed through effective AMR surveillance systems. In 2018, a national surveillance programme for AMR in the community and nursing homes called Mission PRIMO was established in France. It builds on an existing network called MedQual-Ville that had been monitoring AMR mainly in the west of France community since 2003. Objectives and Methods To evaluate the MedQual-Ville surveillance activities and to formulate practical recommendations for improvement, using a semi-quantitative evaluation framework called OASIS. Results The evaluation showed that MedQual-Ville is overall a well-performing surveillance system. Its major strengths rely on excellent coordination and internal communication with clinical laboratories that participate on a voluntary basis. Surveillance objectives and procedures are clear to all participants. Hence, the quality and reliability of the data being produced is very high. At this stage, the major area for improvement is representativeness, with poor coverage achieved in several densely populated areas. Besides, the utility and impact of surveillance data could be improved by strengthening communication towards end-users, especially local prescribers. Conclusions There is currently no European programme or guidance for AMR surveillance in the community and nursing homes. Our results partly fill this gap, by evaluating how surveillance is being performed in France and providing recommendations that could be applicable to other countries with similar health systems. This work also highlighted the relevance of OASIS for evaluation of surveillance systems in the human sector.
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Affiliation(s)
- Lucie Collineau
- French Agency for Food, Environmental and Occupational Health & Safety, Laboratory of Lyon, Epidemiology and surveillance Unit , Lyon , France
| | - Euriel Godebert
- French Agency for Food, Environmental and Occupational Health & Safety, Laboratory of Lyon, Epidemiology and surveillance Unit , Lyon , France
- French National School of Veterinary Services (VetAgro Sup—ENSV) , Marcy-l’Étoile , France
- French Ministry of Agriculture and Food, Directorate General for Food, Animal Health Unit , Paris , France
| | - Sonia Thibaut
- Regional centre for prevention of healthcare-associated infections (CPias), University Hospital of Nantes , Nantes , France
| | - Olivier Lemenand
- Regional centre for prevention of healthcare-associated infections (CPias), University Hospital of Nantes , Nantes , France
| | - Gabriel Birgand
- Regional centre for prevention of healthcare-associated infections (CPias), University Hospital of Nantes , Nantes , France
| | - Jocelyne Caillon
- Regional centre for prevention of healthcare-associated infections (CPias), University Hospital of Nantes , Nantes , France
| | - Clémence Bourely
- French Ministry of Agriculture and Food, Directorate General for Food, Animal Health Unit , Paris , France
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5
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Valat C, Haenni M, Arnaout Y, Drapeau A, Hirchaud E, Touzain F, Boyer T, Delannoy S, Vorimore F, Fach P, Madec JY. F74 plasmids are major vectors of virulence genes in bovine NTEC2. Lett Appl Microbiol 2022; 75:355-362. [PMID: 35509148 DOI: 10.1111/lam.13733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 04/08/2022] [Accepted: 04/29/2022] [Indexed: 11/28/2022]
Abstract
Necrotoxigenic Escherichia coli 2 (NTEC2) are defined as E. coli producing the toxin known as cytotoxic necrotizing factor 2 (CNF2), a potent toxin primarily found in bovine but also in humans. NTEC2 are mostly associated with bovine, and cnf2 is known to be carried by pVir-like plasmids. In this study, we looked for NTEC2 in a collection of E. coli collected between 2011 and 2018 in French bovine. Thirty-two isolates, collected from both sick (n=19) and healthy (n=13) animals, were identified and characterized using whole-genome sequencing. One F74 plasmid of this bacterial collection was long-read sequenced: its size was 138 121 bp and it carried the cnf2, F17cA-eG, cdtB, iutA, iucC, and ompP virulence factors (VFs), but no resistance gene. A large variety of genetic backgrounds was observed, but all cnf2-carrying plasmids belonged to the IncF family, and most of them (78.1%) were of the F74 group. Similar F74 plasmids were also reported from bovine in the United Kingdom and USA, as identified in the publically available databases. Consequently, these F74 plasmids, which are widely disseminated among E. coli from cattle in the French territory, are vectors of virulence determinants that largely went unnoticed until now.
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Affiliation(s)
- Charlotte Valat
- Unité Antibiorésistance et Virulence Bactériennes, Agence Nationale de Sécurité Sanitaire (ANSES) - Université de Lyon, Lyon, France
| | - Marisa Haenni
- Unité Antibiorésistance et Virulence Bactériennes, Agence Nationale de Sécurité Sanitaire (ANSES) - Université de Lyon, Lyon, France
| | - Youssef Arnaout
- Unité Antibiorésistance et Virulence Bactériennes, Agence Nationale de Sécurité Sanitaire (ANSES) - Université de Lyon, Lyon, France
| | - Antoine Drapeau
- Unité Antibiorésistance et Virulence Bactériennes, Agence Nationale de Sécurité Sanitaire (ANSES) - Université de Lyon, Lyon, France
| | - Edouard Hirchaud
- Unité Génétique Virale et Biosécurité, Agence Nationale de Sécurité Sanitaire (ANSES), Ploufragan, France
| | - Fabrice Touzain
- Unité Génétique Virale et Biosécurité, Agence Nationale de Sécurité Sanitaire (ANSES), Ploufragan, France
| | - Théophile Boyer
- Unité Epidémiologie et appui à la surveillance, Agence Nationale de Sécurité Sanitaire (ANSES) - Université de Lyon, Lyon, France
| | - Sabine Delannoy
- Unité COLiPATH / Plateforme d'identification et de typage des agents pathogènes (IdentyPath) du laboratoire de sécurité des aliments, Agence Nationale de Sécurité Sanitaire (ANSES), Maisons-Alfort, France
| | - Fabien Vorimore
- Unité COLiPATH / Plateforme d'identification et de typage des agents pathogènes (IdentyPath) du laboratoire de sécurité des aliments, Agence Nationale de Sécurité Sanitaire (ANSES), Maisons-Alfort, France
| | - Patrick Fach
- Unité COLiPATH / Plateforme d'identification et de typage des agents pathogènes (IdentyPath) du laboratoire de sécurité des aliments, Agence Nationale de Sécurité Sanitaire (ANSES), Maisons-Alfort, France
| | - Jean-Yves Madec
- Unité Antibiorésistance et Virulence Bactériennes, Agence Nationale de Sécurité Sanitaire (ANSES) - Université de Lyon, Lyon, France
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6
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Mader R, Muñoz Madero C, Aasmäe B, Bourély C, Broens EM, Busani L, Callens B, Collineau L, Crespo-Robledo P, Damborg P, Filippitzi ME, Fitzgerald W, Heuvelink A, van Hout J, Kaspar H, Norström M, Pedersen K, Pohjanvirta T, Pokludova L, Dal Pozzo F, Slowey R, Teixeira Justo C, Urdahl AM, Vatopoulos A, Zafeiridis C, Madec JY, Amat JP. Review and Analysis of National Monitoring Systems for Antimicrobial Resistance in Animal Bacterial Pathogens in Europe: A Basis for the Development of the European Antimicrobial Resistance Surveillance Network in Veterinary Medicine (EARS-Vet). Front Microbiol 2022; 13:838490. [PMID: 35464909 PMCID: PMC9023068 DOI: 10.3389/fmicb.2022.838490] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 02/22/2022] [Indexed: 11/13/2022] Open
Abstract
The monitoring of antimicrobial resistance (AMR) in bacterial pathogens of animals is not currently coordinated at European level. To fill this gap, experts of the European Union Joint Action on Antimicrobial Resistance and Healthcare Associated Infections (EU-JAMRAI) recommended building the European Antimicrobial Resistance Surveillance network in Veterinary medicine (EARS-Vet). In this study, we (i) identified national monitoring systems for AMR in bacterial pathogens of animals (both companion and food-producing) among 27 countries affiliated to EU-JAMRAI, (ii) described their structures and operations, and (iii) analyzed their respective strengths, weaknesses, opportunities and threats (SWOT). Twelve countries reported having at least one national monitoring system in place, representing an opportunity to launch EARS-Vet, but highlighting important gaps in AMR data generation in Europe. In total, 15 national monitoring systems from 11 countries were described and analyzed. They displayed diverse structures and operations, but most of them shared common weaknesses (e.g., data management and representativeness) and common threats (e.g., economic vulnerability and data access), which could be addressed collectively under EARS-Vet. This work generated useful information to countries planning to build or improve their system, by learning from others' experience. It also enabled to advance on a pragmatic harmonization strategy: EARS-Vet shall follow the European Committee on Antimicrobial Susceptibility Testing (EUCAST) standards, collect quantitative data and interpret AMR data using epidemiological cut-off values.
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Affiliation(s)
- Rodolphe Mader
- University of Lyon, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Laboratory of Lyon, Antibiotic Resistance and Bacterial Virulence Unit, Lyon, France
| | - Cristina Muñoz Madero
- Agencia Española de Medicamentos y Productos Sanitarios (AEMPS), Coordinación del Plan Nacional Frente a la Resistencia a los Antibióticos (PRAN), Madrid, Spain
| | - Birgit Aasmäe
- Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Tartu, Estonia
| | - Clémence Bourély
- Direction Générale de l’Alimentation, Bureau de la Santé Animale, Paris, France
| | - Els M. Broens
- Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | - Luca Busani
- Center for Gender-Specific Medicine, Istituto Superiore di Sanità, Rome, Italy
| | - Bénédicte Callens
- Antimicrobial Consumption and Resistance in Animals – AMCRA, Brussels, Belgium
| | - Lucie Collineau
- University of Lyon, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Laboratory of Lyon, Epidemiology and Support to Surveillance Unit, Lyon, France
| | - Paloma Crespo-Robledo
- Agencia Española de Medicamentos y Productos Sanitarios (AEMPS), Coordinación del Plan Nacional Frente a la Resistencia a los Antibióticos (PRAN), Madrid, Spain
| | - Peter Damborg
- Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Maria-Eleni Filippitzi
- Sciensano, Veterinary Epidemiology Unit, Belgian Research Centre for Health, Brussels, Belgium
- Laboratory of Animal Production Economics, Department of Animal Production, Ichthyology, Ecology and Protection of the Environment, School of Veterinary Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - William Fitzgerald
- Limerick Regional Veterinary Laboratory, Department of Agriculture, Food and the Marine, Limerick, Ireland
| | | | | | - Heike Kaspar
- Federal Office of Consumer Protection and Food Safety, Berlin, Germany
| | | | - Karl Pedersen
- Department of Animal Health and Antimicrobial Strategies, National Veterinary Institute, Uppsala, Sweden
| | - Tarja Pohjanvirta
- Finnish Food Authority, Veterinary Bacteriology and Pathology Unit, Helsinki, Finland
| | - Lucie Pokludova
- Institute for State Control of Veterinary Biologicals and Medicines (ISCVBM), Brno, Czechia
| | - Fabiana Dal Pozzo
- Antimicrobial Consumption and Resistance in Animals – AMCRA, Brussels, Belgium
| | - Rosemarie Slowey
- Department of Agriculture, Food and the Marine Laboratories, Celbridge, Ireland
| | - Cristiana Teixeira Justo
- Agencia Española de Medicamentos y Productos Sanitarios (AEMPS), Coordinación del Plan Nacional Frente a la Resistencia a los Antibióticos (PRAN), Madrid, Spain
| | | | - Alkiviadis Vatopoulos
- Department of Public Health Policy, School of Public Health, University of West Attica, Athens, Greece
| | | | - Jean-Yves Madec
- University of Lyon, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Laboratory of Lyon, Antibiotic Resistance and Bacterial Virulence Unit, Lyon, France
| | - Jean-Philippe Amat
- University of Lyon, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Laboratory of Lyon, Epidemiology and Support to Surveillance Unit, Lyon, France
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7
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Mader R, Muñoz Madero C, Aasmäe B, Bourély C, Broens EM, Busani L, Callens B, Collineau L, Crespo-Robledo P, Damborg P, Filippitzi ME, Fitzgerald W, Heuvelink A, van Hout J, Kaspar H, Norström M, Pedersen K, Pohjanvirta T, Pokludova L, Dal Pozzo F, Slowey R, Teixeira Justo C, Urdahl AM, Vatopoulos A, Zafeiridis C, Madec JY, Amat JP. Review and Analysis of National Monitoring Systems for Antimicrobial Resistance in Animal Bacterial Pathogens in Europe: A Basis for the Development of the European Antimicrobial Resistance Surveillance Network in Veterinary Medicine (EARS-Vet). Front Microbiol 2022; 13:838490. [PMID: 35464909 DOI: 10.5281/zenodo.5205371] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 02/22/2022] [Indexed: 05/26/2023] Open
Abstract
The monitoring of antimicrobial resistance (AMR) in bacterial pathogens of animals is not currently coordinated at European level. To fill this gap, experts of the European Union Joint Action on Antimicrobial Resistance and Healthcare Associated Infections (EU-JAMRAI) recommended building the European Antimicrobial Resistance Surveillance network in Veterinary medicine (EARS-Vet). In this study, we (i) identified national monitoring systems for AMR in bacterial pathogens of animals (both companion and food-producing) among 27 countries affiliated to EU-JAMRAI, (ii) described their structures and operations, and (iii) analyzed their respective strengths, weaknesses, opportunities and threats (SWOT). Twelve countries reported having at least one national monitoring system in place, representing an opportunity to launch EARS-Vet, but highlighting important gaps in AMR data generation in Europe. In total, 15 national monitoring systems from 11 countries were described and analyzed. They displayed diverse structures and operations, but most of them shared common weaknesses (e.g., data management and representativeness) and common threats (e.g., economic vulnerability and data access), which could be addressed collectively under EARS-Vet. This work generated useful information to countries planning to build or improve their system, by learning from others' experience. It also enabled to advance on a pragmatic harmonization strategy: EARS-Vet shall follow the European Committee on Antimicrobial Susceptibility Testing (EUCAST) standards, collect quantitative data and interpret AMR data using epidemiological cut-off values.
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Affiliation(s)
- Rodolphe Mader
- University of Lyon, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Laboratory of Lyon, Antibiotic Resistance and Bacterial Virulence Unit, Lyon, France
| | - Cristina Muñoz Madero
- Agencia Española de Medicamentos y Productos Sanitarios (AEMPS), Coordinación del Plan Nacional Frente a la Resistencia a los Antibióticos (PRAN), Madrid, Spain
| | - Birgit Aasmäe
- Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Tartu, Estonia
| | - Clémence Bourély
- Direction Générale de l'Alimentation, Bureau de la Santé Animale, Paris, France
| | - Els M Broens
- Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | - Luca Busani
- Center for Gender-Specific Medicine, Istituto Superiore di Sanità, Rome, Italy
| | - Bénédicte Callens
- Antimicrobial Consumption and Resistance in Animals - AMCRA, Brussels, Belgium
| | - Lucie Collineau
- University of Lyon, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Laboratory of Lyon, Epidemiology and Support to Surveillance Unit, Lyon, France
| | - Paloma Crespo-Robledo
- Agencia Española de Medicamentos y Productos Sanitarios (AEMPS), Coordinación del Plan Nacional Frente a la Resistencia a los Antibióticos (PRAN), Madrid, Spain
| | - Peter Damborg
- Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Maria-Eleni Filippitzi
- Sciensano, Veterinary Epidemiology Unit, Belgian Research Centre for Health, Brussels, Belgium
- Laboratory of Animal Production Economics, Department of Animal Production, Ichthyology, Ecology and Protection of the Environment, School of Veterinary Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - William Fitzgerald
- Limerick Regional Veterinary Laboratory, Department of Agriculture, Food and the Marine, Limerick, Ireland
| | | | | | - Heike Kaspar
- Federal Office of Consumer Protection and Food Safety, Berlin, Germany
| | | | - Karl Pedersen
- Department of Animal Health and Antimicrobial Strategies, National Veterinary Institute, Uppsala, Sweden
| | - Tarja Pohjanvirta
- Finnish Food Authority, Veterinary Bacteriology and Pathology Unit, Helsinki, Finland
| | - Lucie Pokludova
- Institute for State Control of Veterinary Biologicals and Medicines (ISCVBM), Brno, Czechia
| | - Fabiana Dal Pozzo
- Antimicrobial Consumption and Resistance in Animals - AMCRA, Brussels, Belgium
| | - Rosemarie Slowey
- Department of Agriculture, Food and the Marine Laboratories, Celbridge, Ireland
| | - Cristiana Teixeira Justo
- Agencia Española de Medicamentos y Productos Sanitarios (AEMPS), Coordinación del Plan Nacional Frente a la Resistencia a los Antibióticos (PRAN), Madrid, Spain
| | | | - Alkiviadis Vatopoulos
- Department of Public Health Policy, School of Public Health, University of West Attica, Athens, Greece
| | | | - Jean-Yves Madec
- University of Lyon, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Laboratory of Lyon, Antibiotic Resistance and Bacterial Virulence Unit, Lyon, France
| | - Jean-Philippe Amat
- University of Lyon, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Laboratory of Lyon, Epidemiology and Support to Surveillance Unit, Lyon, France
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Mader R, Muñoz Madero C, Aasmäe B, Bourély C, Broens EM, Busani L, Callens B, Collineau L, Crespo-Robledo P, Damborg P, Filippitzi ME, Fitzgerald W, Heuvelink A, van Hout J, Kaspar H, Norström M, Pedersen K, Pohjanvirta T, Pokludova L, Dal Pozzo F, Slowey R, Teixeira Justo C, Urdahl AM, Vatopoulos A, Zafeiridis C, Madec JY, Amat JP. Review and Analysis of National Monitoring Systems for Antimicrobial Resistance in Animal Bacterial Pathogens in Europe: A Basis for the Development of the European Antimicrobial Resistance Surveillance Network in Veterinary Medicine (EARS-Vet). Front Microbiol 2022. [PMID: 35464909 DOI: 10.3389/fmicb.2022.83849] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/12/2023] Open
Abstract
The monitoring of antimicrobial resistance (AMR) in bacterial pathogens of animals is not currently coordinated at European level. To fill this gap, experts of the European Union Joint Action on Antimicrobial Resistance and Healthcare Associated Infections (EU-JAMRAI) recommended building the European Antimicrobial Resistance Surveillance network in Veterinary medicine (EARS-Vet). In this study, we (i) identified national monitoring systems for AMR in bacterial pathogens of animals (both companion and food-producing) among 27 countries affiliated to EU-JAMRAI, (ii) described their structures and operations, and (iii) analyzed their respective strengths, weaknesses, opportunities and threats (SWOT). Twelve countries reported having at least one national monitoring system in place, representing an opportunity to launch EARS-Vet, but highlighting important gaps in AMR data generation in Europe. In total, 15 national monitoring systems from 11 countries were described and analyzed. They displayed diverse structures and operations, but most of them shared common weaknesses (e.g., data management and representativeness) and common threats (e.g., economic vulnerability and data access), which could be addressed collectively under EARS-Vet. This work generated useful information to countries planning to build or improve their system, by learning from others' experience. It also enabled to advance on a pragmatic harmonization strategy: EARS-Vet shall follow the European Committee on Antimicrobial Susceptibility Testing (EUCAST) standards, collect quantitative data and interpret AMR data using epidemiological cut-off values.
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Affiliation(s)
- Rodolphe Mader
- University of Lyon, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Laboratory of Lyon, Antibiotic Resistance and Bacterial Virulence Unit, Lyon, France
| | - Cristina Muñoz Madero
- Agencia Española de Medicamentos y Productos Sanitarios (AEMPS), Coordinación del Plan Nacional Frente a la Resistencia a los Antibióticos (PRAN), Madrid, Spain
| | - Birgit Aasmäe
- Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Tartu, Estonia
| | - Clémence Bourély
- Direction Générale de l'Alimentation, Bureau de la Santé Animale, Paris, France
| | - Els M Broens
- Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
| | - Luca Busani
- Center for Gender-Specific Medicine, Istituto Superiore di Sanità, Rome, Italy
| | - Bénédicte Callens
- Antimicrobial Consumption and Resistance in Animals - AMCRA, Brussels, Belgium
| | - Lucie Collineau
- University of Lyon, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Laboratory of Lyon, Epidemiology and Support to Surveillance Unit, Lyon, France
| | - Paloma Crespo-Robledo
- Agencia Española de Medicamentos y Productos Sanitarios (AEMPS), Coordinación del Plan Nacional Frente a la Resistencia a los Antibióticos (PRAN), Madrid, Spain
| | - Peter Damborg
- Department of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Maria-Eleni Filippitzi
- Sciensano, Veterinary Epidemiology Unit, Belgian Research Centre for Health, Brussels, Belgium
- Laboratory of Animal Production Economics, Department of Animal Production, Ichthyology, Ecology and Protection of the Environment, School of Veterinary Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - William Fitzgerald
- Limerick Regional Veterinary Laboratory, Department of Agriculture, Food and the Marine, Limerick, Ireland
| | | | | | - Heike Kaspar
- Federal Office of Consumer Protection and Food Safety, Berlin, Germany
| | | | - Karl Pedersen
- Department of Animal Health and Antimicrobial Strategies, National Veterinary Institute, Uppsala, Sweden
| | - Tarja Pohjanvirta
- Finnish Food Authority, Veterinary Bacteriology and Pathology Unit, Helsinki, Finland
| | - Lucie Pokludova
- Institute for State Control of Veterinary Biologicals and Medicines (ISCVBM), Brno, Czechia
| | - Fabiana Dal Pozzo
- Antimicrobial Consumption and Resistance in Animals - AMCRA, Brussels, Belgium
| | - Rosemarie Slowey
- Department of Agriculture, Food and the Marine Laboratories, Celbridge, Ireland
| | - Cristiana Teixeira Justo
- Agencia Española de Medicamentos y Productos Sanitarios (AEMPS), Coordinación del Plan Nacional Frente a la Resistencia a los Antibióticos (PRAN), Madrid, Spain
| | | | - Alkiviadis Vatopoulos
- Department of Public Health Policy, School of Public Health, University of West Attica, Athens, Greece
| | | | - Jean-Yves Madec
- University of Lyon, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Laboratory of Lyon, Antibiotic Resistance and Bacterial Virulence Unit, Lyon, France
| | - Jean-Philippe Amat
- University of Lyon, French Agency for Food, Environmental and Occupational Health and Safety (ANSES), Laboratory of Lyon, Epidemiology and Support to Surveillance Unit, Lyon, France
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