Association between particulate matter (PM)2.5 air pollution and clinical antibiotic resistance: a global analysis

被引:56
作者
Zhou, Zhenchao [1 ]
Shuai, Xinyi [1 ]
Lin, Zejun [1 ]
Yu, Xi [1 ]
Ba, Xiaoliang [4 ]
Holmes, Mark A. [4 ]
Xiao, Yonghong [3 ]
Gu, Baojing [1 ]
Chen, Hong [1 ,2 ,5 ]
机构
[1] Zhejiang Univ, Coll Environm & Resource Sci, Hangzhou 310058, Peoples R China
[2] Zhejiang Univ, Minist Educ, Key Lab Environm Remediat & Ecol Hlth, Hangzhou, Peoples R China
[3] Zhejiang Univ, Affiliated Hosp 1, State Key Lab Diag & Treatment Infect Dis, Hangzhou, Peoples R China
[4] Univ Cambridge, Dept Vet Med, Cambridge, England
[5] Zhejiang Int Sci & Technol Cooperat Base Environm, Hangzhou, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
ANTIMICROBIAL RESISTANCE; MORTALITY; COUNTRIES; HEALTH; AGE;
D O I
10.1016/S2542-5196(23)00135-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background Antibiotic resistance is an increasing global issue, causing millions of deaths worldwide every year. Particulate matter (PM)(2.5) has diverse elements of antibiotic resistance that increase its spread after inhalation. However, understanding of the contribution of PM2.5 to global antibiotic resistance is poor. Through univariate and multivariable analysis, we aimed to present the first global estimates of antibiotic resistance and burden of premature deaths attributable to antibiotic resistance resulting from PM2.5 pollution. Methods For this global analysis, data on multiple potential predictors (ie, air pollution, antibiotic use, sanitation services, economics, health expenditure, population, education, climate, year, and region) were collected in 116 countries from 2000 to 2018 to estimate the effect of PM2.5 on antibiotic resistance via univariate and multivariable analysis. Data were obtained from ResistanceMap, European Centre for Disease Prevention and Control Surveillance Atlas (antimicrobial-resistance sources), and PLISA Health Information Platform for the Americas. Future global aggregate antibiotic resistance and premature mortality trends derived from PM2.5 in different scenarios (eg, 50% reduced antibiotic use or PM2.5 controlled to 5 mu g/m(3)) were projected until 2050. Findings The final dataset included more than 11.5 million tested isolates. Raw antibiotic-resistance data included nine pathogens and 43 types of antibiotic agents. Significant correlations between PM2.5 and antibiotic resistance were consistent globally in most antibiotic-resistant bacteria (R-2=0.42-0.76, p<0.0001), and correlations have strengthened over time. Antibiotic resistance derived from PM2.5 caused an estimated 0.48 (95% CI 0.34-0.60) million premature deaths and 18.2 (13.4-23.0) million years of life lost in 2018 worldwide, corresponding to an annual welfare loss of US$395 (290-500) billion due to premature deaths. The 5 mu g/m(3) target of concentration of PM2.5 in the air quality guidelines set by WHO, if reached in 2050, was estimated to reduce antibiotic resistance by 16.8% (95% CI 15.3-18.3) and avoid 23.4% (21.2-25.6) of premature deaths attributable to antibiotic resistance, equivalent to a saving of $640 (580-671) billion. Interpretation This analysis is the first to describe the association between PM2.5 and clinical antibiotic resistance globally. Results provide new pathways for antibiotic-resistance control from an environmental perspective. Copyright (c) 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license.
引用
收藏
页码:E649 / E659
页数:11
相关论文
共 46 条
[1]  
[Anonymous], 2013, EUCAST guidelines for detection of resistance mechanisms and specific resistances of clinical and/or epidemiological importance
[2]  
[Anonymous], 1993, Division of Vector-Borne Infectious Diseases. Guidelines for Arbovirus Surveillance Programs in the United States
[3]   The impact of rainfall on drinking water quality in Antananarivo, Madagascar [J].
Bastaraud, Alexandra ;
Perthame, Emeline ;
Rakotondramanga, Jean-Marius ;
Mahazosaotra, Jackson ;
Ravaonindrina, Noro ;
Jambou, Ronan .
PLOS ONE, 2020, 15 (06)
[4]   Tackling antibiotic resistance: the environmental framework [J].
Berendonk, Thomas U. ;
Manaia, Celia M. ;
Merlin, Christophe ;
Fatta-Kassinos, Despo ;
Cytryn, Eddie ;
Walsh, Fiona ;
Buergmann, Helmut ;
Sorum, Henning ;
Norstrom, Madelaine ;
Pons, Marie-Noelle ;
Kreuzinger, Norbert ;
Huovinen, Pentti ;
Stefani, Stefania ;
Schwartz, Thomas ;
Kisand, Veljo ;
Baquero, Fernando ;
Luis Martinez, Jose .
NATURE REVIEWS MICROBIOLOGY, 2015, 13 (05) :310-317
[5]   Antibacterial drug discovery in the resistance era [J].
Brown, Eric D. ;
Wright, Gerard D. .
NATURE, 2016, 529 (7586) :336-343
[6]   Global antibiotic consumption and usage in humans, 2000-18: a spatial modelling study [J].
Browne, Annie J. ;
Chipeta, Michael G. ;
Haines-Woodhouse, Georgina ;
Kumaran, Emmanuelle P. A. ;
Hamadani, Bahar H. Kashef ;
Zaraa, Sabra ;
Henry, Nathaniel J. ;
Deshpande, Aniruddha ;
Reiner, Robert C., Jr. ;
Day, Nicholas P. J. ;
Lopez, Alan D. ;
Dunachie, Susanna ;
Moore, Catrin E. ;
Stergachis, Andy ;
Hay, Simon, I ;
Dolecek, Christiane .
LANCET PLANETARY HEALTH, 2021, 5 (12) :E893-E904
[7]  
Clinical and Laboratory Standards Institute, 2023, Performance standards for antimicrobial susceptibility testing, V33rd Ed. CLSI Supplement M100
[8]   Anthropological and socioeconomic factors contributing to global antimicrobial resistance: a univariate and multivariable analysis [J].
Collignon, Peter ;
Beggs, John J. ;
Walsh, Timothy R. ;
Gandra, Sumanth ;
Laxminarayan, Ramanan .
LANCET PLANETARY HEALTH, 2018, 2 (09) :E398-E405
[9]   Income projections for climate change research: A framework based on human capital dynamics [J].
Cuaresma, Jesus Crespo .
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2017, 42 :226-236
[10]  
European Environment Agency, 2021, AIR QUAL STAT CALC E