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Association between antibiotic resistance and increasing ambient temperature in China: An ecological study with nationwide panel data

BACKGROUND: Antibiotic resistance leads to longer hospital stays, higher medical costs, and increased mortality. However, research into the relationship between climate change and antibiotic resistance remains inconclusive. This study aims to address the gap in the literature by exploring the associ...

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Autores principales: Li, Weibin, Liu, Chaojie, Ho, Hung Chak, Shi, Lin, Zeng, Yingchao, Yang, Xinyi, Huang, Qixian, Pei, Yi, Huang, Cunrui, Yang, Lianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672962/
https://www.ncbi.nlm.nih.gov/pubmed/36406382
http://dx.doi.org/10.1016/j.lanwpc.2022.100628
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author Li, Weibin
Liu, Chaojie
Ho, Hung Chak
Shi, Lin
Zeng, Yingchao
Yang, Xinyi
Huang, Qixian
Pei, Yi
Huang, Cunrui
Yang, Lianping
author_facet Li, Weibin
Liu, Chaojie
Ho, Hung Chak
Shi, Lin
Zeng, Yingchao
Yang, Xinyi
Huang, Qixian
Pei, Yi
Huang, Cunrui
Yang, Lianping
author_sort Li, Weibin
collection PubMed
description BACKGROUND: Antibiotic resistance leads to longer hospital stays, higher medical costs, and increased mortality. However, research into the relationship between climate change and antibiotic resistance remains inconclusive. This study aims to address the gap in the literature by exploring the association of antibiotic resistance with regional ambient temperature and its changes over time. METHODS: Data were obtained from the China Antimicrobial Surveillance Network (CHINET), monitoring the prevalence of carbapenem-resistant Acinetobacter baumannii (CRAB), Klebsiella pneumoniae (CRKP) and Pseudomonas aeruginosa (CRPA) in 28 provinces/regions over the period from 2005 to 2019. Log-linear regression models were established to determine the association between ambient temperature and antibiotic resistance after adjustment for variations in socioeconomic, health service, and environmental factors. FINDINGS: A 1 °C increase in average ambient temperature was associated with 1.14-fold increase (95%-CI [1.07–1.23]) in CRKP prevalence and 1.06-fold increase (95%-CI [1.03–1.08]) in CRPA prevalence. There was an accumulative effect of year-by-year changes in ambient temperature, with the four-year sum showing the greatest effect on antibiotic resistance. Higher prevalence of antibiotic resistance was also associated with higher antibiotic consumption, lower density of health facilities, higher density of hospital beds and higher level of corruption. INTERPRETATION: Higher prevalence of antibiotic resistance is associated with increased regional ambient temperature. The development of antibiotic resistance under rising ambient temperature differs across various strains of bacteria. FUNDING: The 10.13039/501100012166National Key R&D Program of China (grant number: 2018YFA0606200), 10.13039/501100001809National Natural Science Foundation of China (grant number: 72074234), 10.13039/501100012476Fundamental Scientific Research Funds for Central Universities, P.R. China (grant number: 22qntd4201), 10.13039/100001547China Medical Board (grant number: CMB-OC-19-337).
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spelling pubmed-96729622022-11-19 Association between antibiotic resistance and increasing ambient temperature in China: An ecological study with nationwide panel data Li, Weibin Liu, Chaojie Ho, Hung Chak Shi, Lin Zeng, Yingchao Yang, Xinyi Huang, Qixian Pei, Yi Huang, Cunrui Yang, Lianping Lancet Reg Health West Pac Articles BACKGROUND: Antibiotic resistance leads to longer hospital stays, higher medical costs, and increased mortality. However, research into the relationship between climate change and antibiotic resistance remains inconclusive. This study aims to address the gap in the literature by exploring the association of antibiotic resistance with regional ambient temperature and its changes over time. METHODS: Data were obtained from the China Antimicrobial Surveillance Network (CHINET), monitoring the prevalence of carbapenem-resistant Acinetobacter baumannii (CRAB), Klebsiella pneumoniae (CRKP) and Pseudomonas aeruginosa (CRPA) in 28 provinces/regions over the period from 2005 to 2019. Log-linear regression models were established to determine the association between ambient temperature and antibiotic resistance after adjustment for variations in socioeconomic, health service, and environmental factors. FINDINGS: A 1 °C increase in average ambient temperature was associated with 1.14-fold increase (95%-CI [1.07–1.23]) in CRKP prevalence and 1.06-fold increase (95%-CI [1.03–1.08]) in CRPA prevalence. There was an accumulative effect of year-by-year changes in ambient temperature, with the four-year sum showing the greatest effect on antibiotic resistance. Higher prevalence of antibiotic resistance was also associated with higher antibiotic consumption, lower density of health facilities, higher density of hospital beds and higher level of corruption. INTERPRETATION: Higher prevalence of antibiotic resistance is associated with increased regional ambient temperature. The development of antibiotic resistance under rising ambient temperature differs across various strains of bacteria. FUNDING: The 10.13039/501100012166National Key R&D Program of China (grant number: 2018YFA0606200), 10.13039/501100001809National Natural Science Foundation of China (grant number: 72074234), 10.13039/501100012476Fundamental Scientific Research Funds for Central Universities, P.R. China (grant number: 22qntd4201), 10.13039/100001547China Medical Board (grant number: CMB-OC-19-337). Elsevier 2022-11-14 /pmc/articles/PMC9672962/ /pubmed/36406382 http://dx.doi.org/10.1016/j.lanwpc.2022.100628 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Li, Weibin
Liu, Chaojie
Ho, Hung Chak
Shi, Lin
Zeng, Yingchao
Yang, Xinyi
Huang, Qixian
Pei, Yi
Huang, Cunrui
Yang, Lianping
Association between antibiotic resistance and increasing ambient temperature in China: An ecological study with nationwide panel data
title Association between antibiotic resistance and increasing ambient temperature in China: An ecological study with nationwide panel data
title_full Association between antibiotic resistance and increasing ambient temperature in China: An ecological study with nationwide panel data
title_fullStr Association between antibiotic resistance and increasing ambient temperature in China: An ecological study with nationwide panel data
title_full_unstemmed Association between antibiotic resistance and increasing ambient temperature in China: An ecological study with nationwide panel data
title_short Association between antibiotic resistance and increasing ambient temperature in China: An ecological study with nationwide panel data
title_sort association between antibiotic resistance and increasing ambient temperature in china: an ecological study with nationwide panel data
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672962/
https://www.ncbi.nlm.nih.gov/pubmed/36406382
http://dx.doi.org/10.1016/j.lanwpc.2022.100628
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