全球抗菌素耐药性:使用全球一体健康指数的全系统综合调查。

IF 4.8 1区 医学 Q1 INFECTIOUS DISEASES
Nan Zhou, Zile Cheng, Xiaoxi Zhang, Chao Lv, Chaoyi Guo, Haodong Liu, Ke Dong, Yan Zhang, Chang Liu, Yung-Fu Chang, Sheng Chen, Xiaokui Guo, Xiao-Nong Zhou, Min Li, Yongzhang Zhu
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引用次数: 15

摘要

背景:抗微生物药物耐药性(AMR)是全球十大公共卫生挑战之一。然而,鉴于缺乏对全球抗菌素耐药性状况的全面评估,我们的目标是开发一个基于“同一个健康”的全球抗菌素耐药性全系统评估工具。方法:我们通过纳入来自世界卫生组织全球抗菌素耐药性和使用监测系统(GLASS)和欧洲疾病预防控制中心(CDC)等不同权威数据库的146个国家的数据,进一步制定了三层次全球单一健康指数(GOHI)-AMR指标方案,该方案由5个关键指标、17个指标和49个子指标组成。我们在国际/地区/国家层面调查了GOHI- amr的总体或分排名,并利用现有的GOHI方法进行数据预处理和得分计算。此外,还对GOHI-AMR与其他社会经济因素进行了相关分析。结果:146个国家的GOHI-AMR平均得分为38.45分。正如预期的那样,高收入国家在GOHI-AMR的总体排名和所有五个关键指标上都优于其他三个收入群体,而低收入国家在抗生素耐药性关键指标(ARR)和ARR从属指标上出人意料地优于中高收入国家和中低收入国家,包括碳青霉烯类、β-内酰胺类和喹诺酮类耐药,甚至在氨基糖苷类耐药方面也优于高收入国家。4组间环境监测指标差异无统计学意义(P > 0.05)。GOHI-AMR与国内生产总值、预期寿命和amr相关出版物呈正相关,但与自然增长率和慢性呼吸道疾病呈负相关。与塞浦路斯相比,在得分较高的瑞典和丹麦,“ESKAPE病原体”的患病率明显较低,这凸显了欧洲的巨大差距。中国和俄罗斯在所有关键指标上都优于其他三个金砖国家,特别是印度的抗菌素耐药性和巴西的抗菌素耐药性实验室网络和协调能力。此外,耐碳青霉烯类肺炎克雷伯菌(CRKP)和耐甲氧西林金黄色葡萄球菌(MRSA)的患病率在中美两国之间存在显著的内部差异,MRSA的患病率都在逐渐下降,而CRKP的患病率在美国一直在下降,而在中国却在上升,这与美国碳青霉烯类相关指标的表现一致。结论:GOHI-AMR是目前可用于评估全球AMR状况的最全面的工具。我们发现了影响每个国家抗菌素耐药性的独特特征,并提出了精确的建议,以提高低排名国家应对抗菌素耐药性的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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

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 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.

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来源期刊
Infectious Diseases of Poverty
Infectious Diseases of Poverty Medicine-Public Health, Environmental and Occupational Health
CiteScore
16.70
自引率
1.20%
发文量
368
审稿时长
13 weeks
期刊介绍: Infectious Diseases of Poverty is a peer-reviewed, open access journal that focuses on essential public health questions related to infectious diseases of poverty. It covers a wide range of topics and methods, including the biology of pathogens and vectors, diagnosis and detection, treatment and case management, epidemiology and modeling, zoonotic hosts and animal reservoirs, control strategies and implementation, new technologies, and their application. The journal also explores the impact of transdisciplinary or multisectoral approaches on health systems, ecohealth, environmental management, and innovative technologies. It aims to provide a platform for the exchange of research and ideas that can contribute to the improvement of public health in resource-limited settings. In summary, Infectious Diseases of Poverty aims to address the urgent challenges posed by infectious diseases in impoverished populations. By publishing high-quality research in various areas, the journal seeks to advance our understanding of these diseases and contribute to the development of effective strategies for prevention, diagnosis, and treatment.
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