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Antibiotic Use in Organic and Non-organic Swedish Dairy Farms: A Comparison of Three Recording Methods
Biases of antimicrobial use (AMU) reporting systems pose a challenge to monitoring of AMU. Our study aimed to cross-compare three data sources of AMU in Swedish dairy herds to provide an account of the validity of AMU reports. We studied AMU differences between two production systems, to investigate...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673384/ https://www.ncbi.nlm.nih.gov/pubmed/33330689 http://dx.doi.org/10.3389/fvets.2020.568881 |
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author | Olmos Antillón, Gabriela Sjöström, Karin Fall, Nils Sternberg Lewerin, Susanna Emanuelson, Ulf |
author_facet | Olmos Antillón, Gabriela Sjöström, Karin Fall, Nils Sternberg Lewerin, Susanna Emanuelson, Ulf |
author_sort | Olmos Antillón, Gabriela |
collection | PubMed |
description | Biases of antimicrobial use (AMU) reporting systems pose a challenge to monitoring of AMU. Our study aimed to cross-compare three data sources of AMU in Swedish dairy herds to provide an account of the validity of AMU reports. We studied AMU differences between two production systems, to investigate how the reporting system affected this comparison. On-farm quantification of AMU via a manual collection of empty drug containers (BIN) took place in organic (n = 30) and conventional (n = 30) dairy herds during two periods between February 2016 and March 2017. A data extract mirroring these periods was obtained from two linked datasets that contain AMU data as reported by the prescribing veterinarians. These included data from the Swedish Board of Agriculture system (SBA) and Växa milk recording system (VXA). Using the European Medicines Agency technical units, the total number of defined daily doses (DDD(vet)), and defined course doses (DCD(vet)) per animal/year were calculated for each herd/period/dataset. Descriptive statistics and Bland–Altman plots were used to evaluate the agreement and systematic bias between the datasets. Mixed models for repeated measures were used to assess AMU differences between production systems. We found consistent numerical differences for the calculated AMU metrics, with BIN presenting higher usage compared to the SBA and VXA. This was driven by a disparity in intramammary tubes (IMt) which appear to be underreported in the national datasets. A statistically significant interaction (BIN dataset) between the production system and drug administration form was found, where AMU for injectable and lactating cow IMt drug forms differed by the production system, but no difference was found for dry-cow IMt. We conclude that calculating AMU using DDD(vet) and DCD(vet) metrics at a herd level based on Swedish national datasets is useful, with the caveat of IMt potentially being misrepresented. The BIN method offers an alternative to monitoring AMU, but scaling up requires considerations. The lower disease caseload in organic herds partly explains the lower AMU in particular drug forms. The fact that organic and conventional herds' had equally low AMU for dry-cow IMt, coupled with mismatches in IMt report across herds indicated an area of further research. |
format | Online Article Text |
id | pubmed-7673384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76733842020-12-15 Antibiotic Use in Organic and Non-organic Swedish Dairy Farms: A Comparison of Three Recording Methods Olmos Antillón, Gabriela Sjöström, Karin Fall, Nils Sternberg Lewerin, Susanna Emanuelson, Ulf Front Vet Sci Veterinary Science Biases of antimicrobial use (AMU) reporting systems pose a challenge to monitoring of AMU. Our study aimed to cross-compare three data sources of AMU in Swedish dairy herds to provide an account of the validity of AMU reports. We studied AMU differences between two production systems, to investigate how the reporting system affected this comparison. On-farm quantification of AMU via a manual collection of empty drug containers (BIN) took place in organic (n = 30) and conventional (n = 30) dairy herds during two periods between February 2016 and March 2017. A data extract mirroring these periods was obtained from two linked datasets that contain AMU data as reported by the prescribing veterinarians. These included data from the Swedish Board of Agriculture system (SBA) and Växa milk recording system (VXA). Using the European Medicines Agency technical units, the total number of defined daily doses (DDD(vet)), and defined course doses (DCD(vet)) per animal/year were calculated for each herd/period/dataset. Descriptive statistics and Bland–Altman plots were used to evaluate the agreement and systematic bias between the datasets. Mixed models for repeated measures were used to assess AMU differences between production systems. We found consistent numerical differences for the calculated AMU metrics, with BIN presenting higher usage compared to the SBA and VXA. This was driven by a disparity in intramammary tubes (IMt) which appear to be underreported in the national datasets. A statistically significant interaction (BIN dataset) between the production system and drug administration form was found, where AMU for injectable and lactating cow IMt drug forms differed by the production system, but no difference was found for dry-cow IMt. We conclude that calculating AMU using DDD(vet) and DCD(vet) metrics at a herd level based on Swedish national datasets is useful, with the caveat of IMt potentially being misrepresented. The BIN method offers an alternative to monitoring AMU, but scaling up requires considerations. The lower disease caseload in organic herds partly explains the lower AMU in particular drug forms. The fact that organic and conventional herds' had equally low AMU for dry-cow IMt, coupled with mismatches in IMt report across herds indicated an area of further research. Frontiers Media S.A. 2020-10-30 /pmc/articles/PMC7673384/ /pubmed/33330689 http://dx.doi.org/10.3389/fvets.2020.568881 Text en Copyright © 2020 Olmos Antillón, Sjöström, Fall, Sternberg Lewerin and Emanuelson. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Veterinary Science Olmos Antillón, Gabriela Sjöström, Karin Fall, Nils Sternberg Lewerin, Susanna Emanuelson, Ulf Antibiotic Use in Organic and Non-organic Swedish Dairy Farms: A Comparison of Three Recording Methods |
title | Antibiotic Use in Organic and Non-organic Swedish Dairy Farms: A Comparison of Three Recording Methods |
title_full | Antibiotic Use in Organic and Non-organic Swedish Dairy Farms: A Comparison of Three Recording Methods |
title_fullStr | Antibiotic Use in Organic and Non-organic Swedish Dairy Farms: A Comparison of Three Recording Methods |
title_full_unstemmed | Antibiotic Use in Organic and Non-organic Swedish Dairy Farms: A Comparison of Three Recording Methods |
title_short | Antibiotic Use in Organic and Non-organic Swedish Dairy Farms: A Comparison of Three Recording Methods |
title_sort | antibiotic use in organic and non-organic swedish dairy farms: a comparison of three recording methods |
topic | Veterinary Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673384/ https://www.ncbi.nlm.nih.gov/pubmed/33330689 http://dx.doi.org/10.3389/fvets.2020.568881 |
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