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湄公河次区域产超广谱β-内酰胺酶和碳青霉烯酶肠杆菌科细菌的流行病学:与超广谱β-内酰胺酶和碳青霉烯酶分离相关危险因素的系统评价和荟萃分析

Epidemiology of Extended-Spectrum Beta-Lactamase and Carbapenemase-Producing Enterobacterales in the Greater Mekong Subregion: A Systematic-Review and Meta-Analysis of Risk Factors Associated With Extended-Spectrum Beta-Lactamase and Carbapenemase Isolation.

作者信息

Singh Shweta R, Teo Alvin Kuo Jing, Prem Kiesha, Ong Rick Twee-Hee, Ashley Elizabeth A, van Doorn H Rogier, Limmathurotsakul Direk, Turner Paul, Hsu Li Yang

机构信息

Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.

Department of Infectious Disease Epidemiology, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.

出版信息

Front Microbiol. 2021 Nov 26;12:695027. doi: 10.3389/fmicb.2021.695027. eCollection 2021.

DOI:10.3389/fmicb.2021.695027
PMID:34899618
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8661499/
Abstract

Despite the rapid spread of extended-spectrum beta-lactamase (ESBL) producing-Enterobacterales (ESBL-E) and carbapenemase-producing Enterobacterales (CPE), little is known about the extent of their prevalence in the Greater Mekong Subregion (GMS). In this systematic review, we aimed to determine the epidemiology of ESBL-E and CPE in clinically significant Enterobacterales: and from the GMS (comprising of Cambodia, Laos, Myanmar, Thailand, Vietnam and Yunnan province and Guangxi Zhuang region of China). Following a list of search terms adapted to subject headings, we systematically searched databases: Medline, EMBASE, Scopus and Web of Science for articles published on and before October 20th, 2020. The search string consisted of the bacterial names, methods involved in detecting drug-resistance phenotype and genotype, GMS countries, and ESBL and carbapenemase detection as the outcomes. Meta-analyses of the association between the isolation of ESBL from human clinical and non-clinical specimens were performed using the "METAN" function in STATA 14. One hundred and thirty-nine studies were included from a total of 1,513 identified studies. Despite the heterogeneity in study methods, analyzing the prevalence proportions on log-linear model scale for ESBL producing- showed a trend that increased by 13.2% (95%CI: 6.1-20.2) in clinical blood specimens, 8.1% (95%CI: 1.7-14.4) in all clinical specimens and 17.7% (95%CI: 4.9-30.4) increase in carriage specimens. Under the log-linear model assumption, no significant trend over time was found for ESBL producing and ESBL-E specimens. CPE was reported in clinical studies and carriage studies past 2010, however a trend could not be determined because of the small dataset. Twelve studies were included in the meta-analysis of risk factors associated with isolation of ESBL. Recent antibiotic exposure was the most studied variable and showed a significant positive association with ESBL-E isolation (pooled OR: 2.9, 95%CI: 2.3-3.8) followed by chronic kidney disease (pooled OR: 4.7, 95%CI: 1.8-11.9), and other co-morbidities (pooled OR: 1.6, 95%CI: 1.2-2.9). Data from GMS is heterogeneous with significant data-gaps, especially in community settings from Laos, Myanmar, Cambodia and Yunnan and Guangxi provinces of China. Collaborative work standardizing the methodology of studies will aid in better monitoring, surveillance and evaluation of interventions across the GMS.

摘要

尽管产超广谱β-内酰胺酶(ESBL)的肠杆菌科细菌(ESBL-E)和产碳青霉烯酶的肠杆菌科细菌(CPE)迅速传播,但对其在大湄公河次区域(GMS)的流行程度知之甚少。在这项系统评价中,我们旨在确定临床上重要的肠杆菌科细菌中ESBL-E和CPE的流行病学情况,这些细菌来自GMS(包括柬埔寨、老挝、缅甸、泰国、越南以及中国的云南省和广西壮族自治区)。按照根据主题词调整的搜索词列表,我们系统地检索了以下数据库:Medline、EMBASE、Scopus和Web of Science,以查找2020年10月20日及之前发表的文章。搜索字符串包括细菌名称、检测耐药表型和基因型所涉及的方法、GMS国家,以及将ESBL和碳青霉烯酶检测作为结果。使用STATA 14中的“METAN”函数对从人类临床和非临床标本中分离出ESBL之间的关联进行荟萃分析。在总共1513项已识别的研究中,纳入了139项研究。尽管研究方法存在异质性,但在对数线性模型尺度上分析产ESBL的流行率显示出一种趋势,即在临床血液标本中增加了13.2%(95%置信区间:6.1 - 20.2),在所有临床标本中增加了8.1%(95%置信区间:1.7 - 14.4),在携带标本中增加了17.7%(95%置信区间:4.9 - 30.4)。在对数线性模型假设下,未发现产ESBL和ESBL-E标本随时间的显著趋势。2010年以后的临床研究和携带研究中报告了CPE,但由于数据集较小,无法确定趋势。在与ESBL分离相关的危险因素的荟萃分析中纳入了12项研究。近期抗生素暴露是研究最多的变量,与ESBL-E分离呈显著正相关(合并比值比:2.9,95%置信区间:2.3 - 3.8),其次是慢性肾脏病(合并比值比:4.7,95%置信区间:1.8 - 11.9),以及其他合并症(合并比值比:1.6,95%置信区间:1.2 - 2.9)。来自GMS的数据具有异质性且存在显著的数据缺口,特别是在老挝、缅甸、柬埔寨以及中国云南省和广西壮族自治区的社区环境中。规范研究方法的合作工作将有助于更好地监测、监督和评估GMS各地的干预措施。

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