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Global antimicrobial resistance: a system-wide comprehensive investigation using the Global One Health Index

BACKGROUND: Antimicrobial resistance (AMR) is one of the top ten global public health challenges. However, given the lack of a comprehensive assessment of worldwide AMR status, our objective is to develop a One Health-based system-wide evaluation tool on global AMR. METHODS: We have further develope...

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Autores principales: Zhou, Nan, Cheng, Zile, Zhang, Xiaoxi, Lv, Chao, Guo, Chaoyi, Liu, Haodong, Dong, Ke, Zhang, Yan, Liu, Chang, Chang, Yunfu, Chen, Sheng, Guo, Xiaokui, Zhou, Xiao-Nong, Li, Min, Zhu, Yongzhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395850/
https://www.ncbi.nlm.nih.gov/pubmed/35996187
http://dx.doi.org/10.1186/s40249-022-01016-5
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author Zhou, Nan
Cheng, Zile
Zhang, Xiaoxi
Lv, Chao
Guo, Chaoyi
Liu, Haodong
Dong, Ke
Zhang, Yan
Liu, Chang
Chang, Yunfu
Chen, Sheng
Guo, Xiaokui
Zhou, Xiao-Nong
Li, Min
Zhu, Yongzhang
author_facet Zhou, Nan
Cheng, Zile
Zhang, Xiaoxi
Lv, Chao
Guo, Chaoyi
Liu, Haodong
Dong, Ke
Zhang, Yan
Liu, Chang
Chang, Yunfu
Chen, Sheng
Guo, Xiaokui
Zhou, Xiao-Nong
Li, Min
Zhu, Yongzhang
author_sort Zhou, Nan
collection PubMed
description BACKGROUND: Antimicrobial resistance (AMR) is one of the top ten global public health challenges. However, given the lack of a comprehensive assessment of worldwide AMR status, our objective is to develop a One Health-based system-wide evaluation tool on global AMR. METHODS: We have further developed the three-hierarchical Global One Health Index (GOHI)-AMR indicator scheme, which consists of five key indicators, 17 indicators, and 49 sub-indicators, by incorporating 146 countries’ data from diverse authoritative databases, including WHO's Global Antimicrobial Resistance and Use Surveillance System (GLASS) and the European CDC. We investigated the overall- or sub-rankings of GOHI-AMR at the international/regional/national levels for data preprocessing and score calculation utilizing the existing GOHI methodology. Additionally, a correlation analysis was conducted between the GOHI-AMR and other socioeconomic factors. RESULTS: The average GOHI-AMR score for 146 countries is 38.45. As expected, high-income countries (HICs) outperform the other three income groups on overall rankings and all five key indicators of GOHI-AMR, whereas low-income countries unexpectedly outperform upper-middle-income countries and lower-middle-income countries on the antibiotics-resistant key indicator (ARR) and ARR-subordinate indicators, including carbapenem-, β-lactam-, and quinolone resistance, and even HICs on aminoglycoside resistance. There were no significant differences among the four groups on the environmental-monitoring indicator (P > 0.05). GOHI-AMR was positively correlated with gross domestic product, life expectancy, and AMR-related publications, but negatively with natural growth rate and chronic respiratory disease. In contrast to Cyprus, the remarkably lower prevalence of "ESKAPE pathogens" in high-scoring Sweden and Denmark highlights Europe's huge gaps. China and Russia outperformed the other three BRICS countries on all key indicators, particularly India's ARR and Brazil's AMR laboratory network and coordination capacity. Furthermore, significant internal disparities in carbapenem-resistant Klebsiella pneumoniae (CRKP) and methicillin-resistant Staphylococcus aureus (MRSA) prevalence were observed between China and the USA, with MRSA prevalence both gradually declining, whereas CRKP prevalence has been declining in the USA but increasing in China, consistent with higher carbapenems-related indicator’ performance in USA. CONCLUSIONS: GOHI-AMR is the most comprehensive tool currently available for the assessment of AMR status worldwide. We discovered unique features impacting AMR in each country and offered precise recommendations to improve the capacity to tackle AMR in low-ranking countries. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-022-01016-5.
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spelling pubmed-93958502022-08-23 Global antimicrobial resistance: a system-wide comprehensive investigation using the Global One Health Index Zhou, Nan Cheng, Zile Zhang, Xiaoxi Lv, Chao Guo, Chaoyi Liu, Haodong Dong, Ke Zhang, Yan Liu, Chang Chang, Yunfu Chen, Sheng Guo, Xiaokui Zhou, Xiao-Nong Li, Min Zhu, Yongzhang Infect Dis Poverty Research Article BACKGROUND: Antimicrobial resistance (AMR) is one of the top ten global public health challenges. However, given the lack of a comprehensive assessment of worldwide AMR status, our objective is to develop a One Health-based system-wide evaluation tool on global AMR. METHODS: We have further developed the three-hierarchical Global One Health Index (GOHI)-AMR indicator scheme, which consists of five key indicators, 17 indicators, and 49 sub-indicators, by incorporating 146 countries’ data from diverse authoritative databases, including WHO's Global Antimicrobial Resistance and Use Surveillance System (GLASS) and the European CDC. We investigated the overall- or sub-rankings of GOHI-AMR at the international/regional/national levels for data preprocessing and score calculation utilizing the existing GOHI methodology. Additionally, a correlation analysis was conducted between the GOHI-AMR and other socioeconomic factors. RESULTS: The average GOHI-AMR score for 146 countries is 38.45. As expected, high-income countries (HICs) outperform the other three income groups on overall rankings and all five key indicators of GOHI-AMR, whereas low-income countries unexpectedly outperform upper-middle-income countries and lower-middle-income countries on the antibiotics-resistant key indicator (ARR) and ARR-subordinate indicators, including carbapenem-, β-lactam-, and quinolone resistance, and even HICs on aminoglycoside resistance. There were no significant differences among the four groups on the environmental-monitoring indicator (P > 0.05). GOHI-AMR was positively correlated with gross domestic product, life expectancy, and AMR-related publications, but negatively with natural growth rate and chronic respiratory disease. In contrast to Cyprus, the remarkably lower prevalence of "ESKAPE pathogens" in high-scoring Sweden and Denmark highlights Europe's huge gaps. China and Russia outperformed the other three BRICS countries on all key indicators, particularly India's ARR and Brazil's AMR laboratory network and coordination capacity. Furthermore, significant internal disparities in carbapenem-resistant Klebsiella pneumoniae (CRKP) and methicillin-resistant Staphylococcus aureus (MRSA) prevalence were observed between China and the USA, with MRSA prevalence both gradually declining, whereas CRKP prevalence has been declining in the USA but increasing in China, consistent with higher carbapenems-related indicator’ performance in USA. CONCLUSIONS: GOHI-AMR is the most comprehensive tool currently available for the assessment of AMR status worldwide. We discovered unique features impacting AMR in each country and offered precise recommendations to improve the capacity to tackle AMR in low-ranking countries. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-022-01016-5. BioMed Central 2022-08-23 /pmc/articles/PMC9395850/ /pubmed/35996187 http://dx.doi.org/10.1186/s40249-022-01016-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Zhou, Nan
Cheng, Zile
Zhang, Xiaoxi
Lv, Chao
Guo, Chaoyi
Liu, Haodong
Dong, Ke
Zhang, Yan
Liu, Chang
Chang, Yunfu
Chen, Sheng
Guo, Xiaokui
Zhou, Xiao-Nong
Li, Min
Zhu, Yongzhang
Global antimicrobial resistance: a system-wide comprehensive investigation using the Global One Health Index
title Global antimicrobial resistance: a system-wide comprehensive investigation using the Global One Health Index
title_full Global antimicrobial resistance: a system-wide comprehensive investigation using the Global One Health Index
title_fullStr Global antimicrobial resistance: a system-wide comprehensive investigation using the Global One Health Index
title_full_unstemmed Global antimicrobial resistance: a system-wide comprehensive investigation using the Global One Health Index
title_short Global antimicrobial resistance: a system-wide comprehensive investigation using the Global One Health Index
title_sort global antimicrobial resistance: a system-wide comprehensive investigation using the global one health index
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395850/
https://www.ncbi.nlm.nih.gov/pubmed/35996187
http://dx.doi.org/10.1186/s40249-022-01016-5
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