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Persistence of resistance: a panel data analysis of the effect of antibiotic usage on the prevalence of resistance

The use of antibiotics promotes the emergence of resistant bacteria in the patient and the environment. The extent of this well-documented biological relationship is, however, not well characterized at an ecological level. To make good policy around antibiotic use, it is important to understand the...

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Autores principales: Rahman, Sakib, Kesselheim, Aaron S., Hollis, Aidan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Japan 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9970858/
https://www.ncbi.nlm.nih.gov/pubmed/36849609
http://dx.doi.org/10.1038/s41429-023-00601-6
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author Rahman, Sakib
Kesselheim, Aaron S.
Hollis, Aidan
author_facet Rahman, Sakib
Kesselheim, Aaron S.
Hollis, Aidan
author_sort Rahman, Sakib
collection PubMed
description The use of antibiotics promotes the emergence of resistant bacteria in the patient and the environment. The extent of this well-documented biological relationship is, however, not well characterized at an ecological level. To make good policy around antibiotic use, it is important to understand the empirical connection between usage and resistance. We provide a consistent approach to estimate this relationship using national-level surveillance data. This paper estimates the effect of antibiotic usage on antibiotic resistance using an 11-year panel of data on both usage and resistance for 26 antibiotic–bacteria combinations in 26 European countries. Using distributed–lag models and event-study specifications, we provide estimates of the rate at which increases in antibiotic usage at the national level affect antibiotic resistance nationally and internationally. We also calculate the persistence of resistance and analyze how resistance behaves asymmetrically with respect to increases and decreases in usage. Our analysis finds the prevalence of resistant bacteria increases immediately after usage and continues to increase for at least 4 years after usage. We show that a decrease in usage has little identifiable impact on resistance over the same period. Usage in neighboring countries increases resistance in a country, independent of usage in that country. Trends in usage-related resistance vary across European regions and across bacterial classifications.
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spelling pubmed-99708582023-02-28 Persistence of resistance: a panel data analysis of the effect of antibiotic usage on the prevalence of resistance Rahman, Sakib Kesselheim, Aaron S. Hollis, Aidan J Antibiot (Tokyo) Article The use of antibiotics promotes the emergence of resistant bacteria in the patient and the environment. The extent of this well-documented biological relationship is, however, not well characterized at an ecological level. To make good policy around antibiotic use, it is important to understand the empirical connection between usage and resistance. We provide a consistent approach to estimate this relationship using national-level surveillance data. This paper estimates the effect of antibiotic usage on antibiotic resistance using an 11-year panel of data on both usage and resistance for 26 antibiotic–bacteria combinations in 26 European countries. Using distributed–lag models and event-study specifications, we provide estimates of the rate at which increases in antibiotic usage at the national level affect antibiotic resistance nationally and internationally. We also calculate the persistence of resistance and analyze how resistance behaves asymmetrically with respect to increases and decreases in usage. Our analysis finds the prevalence of resistant bacteria increases immediately after usage and continues to increase for at least 4 years after usage. We show that a decrease in usage has little identifiable impact on resistance over the same period. Usage in neighboring countries increases resistance in a country, independent of usage in that country. Trends in usage-related resistance vary across European regions and across bacterial classifications. Springer Japan 2023-02-28 2023 /pmc/articles/PMC9970858/ /pubmed/36849609 http://dx.doi.org/10.1038/s41429-023-00601-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Rahman, Sakib
Kesselheim, Aaron S.
Hollis, Aidan
Persistence of resistance: a panel data analysis of the effect of antibiotic usage on the prevalence of resistance
title Persistence of resistance: a panel data analysis of the effect of antibiotic usage on the prevalence of resistance
title_full Persistence of resistance: a panel data analysis of the effect of antibiotic usage on the prevalence of resistance
title_fullStr Persistence of resistance: a panel data analysis of the effect of antibiotic usage on the prevalence of resistance
title_full_unstemmed Persistence of resistance: a panel data analysis of the effect of antibiotic usage on the prevalence of resistance
title_short Persistence of resistance: a panel data analysis of the effect of antibiotic usage on the prevalence of resistance
title_sort persistence of resistance: a panel data analysis of the effect of antibiotic usage on the prevalence of resistance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9970858/
https://www.ncbi.nlm.nih.gov/pubmed/36849609
http://dx.doi.org/10.1038/s41429-023-00601-6
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