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Comparison of different antimicrobial use indicators and antimicrobial resistance data in food-producing animals

OBJECTIVES: To explore the effects of using different indicators to quantify antimicrobial usage (AMU) in livestock and compare outcomes with antimicrobial resistance (AMR) data. METHODS: Three indicators were used to quantify AMU, two indicators in which the denominator varied: defined daily doses...

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Autores principales: Sanders, Pim, Mevius, Dik, Veldman, Kees, van Geijlswijk, Inge, Wagenaar, Jaap A, Bonten, Marc, Heederik, Dick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569442/
https://www.ncbi.nlm.nih.gov/pubmed/35224492
http://dx.doi.org/10.1093/jacamr/dlab172
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author Sanders, Pim
Mevius, Dik
Veldman, Kees
van Geijlswijk, Inge
Wagenaar, Jaap A
Bonten, Marc
Heederik, Dick
author_facet Sanders, Pim
Mevius, Dik
Veldman, Kees
van Geijlswijk, Inge
Wagenaar, Jaap A
Bonten, Marc
Heederik, Dick
author_sort Sanders, Pim
collection PubMed
description OBJECTIVES: To explore the effects of using different indicators to quantify antimicrobial usage (AMU) in livestock and compare outcomes with antimicrobial resistance (AMR) data. METHODS: Three indicators were used to quantify AMU, two indicators in which the denominator varied: defined daily doses per average mass of the animals present per year (DDD/AY) and defined daily doses per population correction unit (DDD/PCU) and one in which the numerator varied: milligrams of active ingredient per PCU (mg/PCU). AMU was compared with antimicrobial resistance data from the national monitoring programme from 2013 to 2018 with the proportion of Escherichia coli isolates fully susceptible to a predefined panel of antimicrobials for the broiler, dairy cattle and pig farming livestock sectors in the Netherlands. RESULTS: The ranking of livestock sectors differs between sectors when using different indicators to express AMU. Dairy cattle rank lowest when expressing AMU in DDD/AY, followed by pigs and broilers corresponding to the rankings of the sectors for AMR. When changing the denominator to PCU, the ranking in AMU is reversed: use ranks highest in dairy cattle and lowest broilers. CONCLUSIONS: Using different denominators in AMU indicators has a major impact on measured use. This might result in misinterpretation of effects of interventions on AMU and the associations of AMU with AMR across animal sectors. From an epidemiological perspective, indicators that take into account time at risk of exposure to antimicrobials are to be preferred and reflect the AMR risk most accurately.
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spelling pubmed-85694422022-02-25 Comparison of different antimicrobial use indicators and antimicrobial resistance data in food-producing animals Sanders, Pim Mevius, Dik Veldman, Kees van Geijlswijk, Inge Wagenaar, Jaap A Bonten, Marc Heederik, Dick JAC Antimicrob Resist Brief Report OBJECTIVES: To explore the effects of using different indicators to quantify antimicrobial usage (AMU) in livestock and compare outcomes with antimicrobial resistance (AMR) data. METHODS: Three indicators were used to quantify AMU, two indicators in which the denominator varied: defined daily doses per average mass of the animals present per year (DDD/AY) and defined daily doses per population correction unit (DDD/PCU) and one in which the numerator varied: milligrams of active ingredient per PCU (mg/PCU). AMU was compared with antimicrobial resistance data from the national monitoring programme from 2013 to 2018 with the proportion of Escherichia coli isolates fully susceptible to a predefined panel of antimicrobials for the broiler, dairy cattle and pig farming livestock sectors in the Netherlands. RESULTS: The ranking of livestock sectors differs between sectors when using different indicators to express AMU. Dairy cattle rank lowest when expressing AMU in DDD/AY, followed by pigs and broilers corresponding to the rankings of the sectors for AMR. When changing the denominator to PCU, the ranking in AMU is reversed: use ranks highest in dairy cattle and lowest broilers. CONCLUSIONS: Using different denominators in AMU indicators has a major impact on measured use. This might result in misinterpretation of effects of interventions on AMU and the associations of AMU with AMR across animal sectors. From an epidemiological perspective, indicators that take into account time at risk of exposure to antimicrobials are to be preferred and reflect the AMR risk most accurately. Oxford University Press 2021-11-05 /pmc/articles/PMC8569442/ /pubmed/35224492 http://dx.doi.org/10.1093/jacamr/dlab172 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of British Society for Antimicrobial Chemotherapy. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Brief Report
Sanders, Pim
Mevius, Dik
Veldman, Kees
van Geijlswijk, Inge
Wagenaar, Jaap A
Bonten, Marc
Heederik, Dick
Comparison of different antimicrobial use indicators and antimicrobial resistance data in food-producing animals
title Comparison of different antimicrobial use indicators and antimicrobial resistance data in food-producing animals
title_full Comparison of different antimicrobial use indicators and antimicrobial resistance data in food-producing animals
title_fullStr Comparison of different antimicrobial use indicators and antimicrobial resistance data in food-producing animals
title_full_unstemmed Comparison of different antimicrobial use indicators and antimicrobial resistance data in food-producing animals
title_short Comparison of different antimicrobial use indicators and antimicrobial resistance data in food-producing animals
title_sort comparison of different antimicrobial use indicators and antimicrobial resistance data in food-producing animals
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569442/
https://www.ncbi.nlm.nih.gov/pubmed/35224492
http://dx.doi.org/10.1093/jacamr/dlab172
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