ST80耐万古霉素粪肠球菌克隆复合型 CT2933、CT2932 和 CT1916 在爱尔兰一家大型医院的长期传播和持续存在:一项为期 39 个月的 WGS 研究。

IF 3.9 3区 医学 Q1 INFECTIOUS DISEASES
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引用次数: 0

摘要

背景:耐万古霉素肠球菌(VREfm)是重要的院内病原体。目的:利用全基因组测序技术调查爱尔兰一家医院(H1)两个病房中占主导地位的复合型(CT)VREfm的传播和持久性,以及它们在医院内和医院间的传播情况:方法:调查了直肠筛查(N=330,2019年9月至2022年12月)和环境(N=48,2022年11月至2022年12月)中的粪大肠杆菌。通过核心基因组多焦点序列分型(cgMLST)和核心基因组单核苷酸多态性(cgSNP)分析评估了菌株的亲缘关系。利用 cgSNP 数据和恢复位置,使用 SeqTrack (https://graphsnp.fordelab.com/graphsnp) 确定了可能的传播链。此外,还调查了来自包括H1(2017年6月至2022年7月)在内的七家爱尔兰医院的特征良好的粪肠球菌(N=908):cgMLST 确定了相关分离物(等位基因差异≤20)中三个主要的 ST80 CT(CT2933、CT2932 和 CT1916)(占分离物的 55%)。cgSNP 分析将这些 CT 区分为多个不同的密切相关基因组群(≤10 个 cgSNPs)。帕利西蒙厄斯网络构建确定了 55 种可能的患者间和患者内的传播,这些传播在≤30 天的患者之间有流行病学支持,涉及来自 7 个基因组群的 73 个分离株(≤10 个 cgSNPs)。此外,还发现了许多其他可能在较长时间内发生的传播,但没有明显的流行病学联系,这表明持续存在和未确定的贮存库促成了传播。在七家医院的粪大肠杆菌(N=1,286)中,三种CT占主导地位,突显了无已知流行病学联系的医院间传播:这项研究揭示了 ST80 VREfm 三种主要 CT 株系在医院内和医院间的长期主导地位、广泛传播和持久性,并牵涉到未确定的蓄水池。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Protracted transmission and persistence of ST80 vancomycin-resistant Enterococcus faecium clonal complex types CT2933, CT2932 and CT1916 in a large Irish hospital: a 39-month whole-genome sequencing study

Background

Vancomycin-resistant Enterococcus faecium (VREfm) are significant nosocomial pathogens. Sequence type (ST) 80 vanA-encoding VREfm predominate in Irish hospitals, but their transmission is poorly understood.

Aims

To investigate transmission and persistence of predominant complex type (CT) VREfm in two wards of an Irish hospital (H1) using whole-genome sequencing, and their intra- and inter-hospital dissemination.

Methods

Rectal screening (N = 330, September 2019 to December 2022) and environmental (N = 48, November 2022 to December 2022) E. faecium were investigated. Isolate relatedness was assessed by core-genome multi-locus sequence typing (cgMLST) and core-genome single nucleotide polymorphism (cgSNP) analysis. Likely transmission chains were identified using SeqTrack (https://graphsnp.fordelab.com/graphsnp) using cgSNP data and recovery location. Well-characterized E. faecium (N = 908) from seven Irish hospitals including H1 (June 2017 to July 2022) were also investigated.

Findings

Conventional MLST assigned isolates to nine STs (ST80, 82%). cgMLST identified three predominant ST80 CTs (CT2933, CT2932 and CT1916) (55% of isolates) of related isolates (≤20 allelic differences). cgSNP analysis differentiated these CTs into multiple distinct closely related genomic clusters (≤10 cgSNPs). Parisimonious network construction identified 55 likely inter- and intra-ward transmissions with epidemiological support between patients ≤30 days involving 73 isolates (≤10 cgSNPs) from seven genomic clusters. Numerous other likely transmissions over longer time periods without evident epidemiological links were identified, suggesting persistence and unidentified reservoirs contribute to dissemination. The three CTs predominated among E. faecium (N = 1286) in seven hospitals, highlighting inter-hospital spread without known epidemiological links.

Conclusion

This study revealed the long-term intra- and inter-hospital dominance of three major CT ST80 VREfm lineages, widespread transmission and persistence, implicating unidentified reservoirs.

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来源期刊
Journal of Hospital Infection
Journal of Hospital Infection 医学-传染病学
CiteScore
12.70
自引率
5.80%
发文量
271
审稿时长
19 days
期刊介绍: The Journal of Hospital Infection is the editorially independent scientific publication of the Healthcare Infection Society. The aim of the Journal is to publish high quality research and information relating to infection prevention and control that is relevant to an international audience. The Journal welcomes submissions that relate to all aspects of infection prevention and control in healthcare settings. This includes submissions that: provide new insight into the epidemiology, surveillance, or prevention and control of healthcare-associated infections and antimicrobial resistance in healthcare settings; provide new insight into cleaning, disinfection and decontamination; provide new insight into the design of healthcare premises; describe novel aspects of outbreaks of infection; throw light on techniques for effective antimicrobial stewardship; describe novel techniques (laboratory-based or point of care) for the detection of infection or antimicrobial resistance in the healthcare setting, particularly if these can be used to facilitate infection prevention and control; improve understanding of the motivations of safe healthcare behaviour, or describe techniques for achieving behavioural and cultural change; improve understanding of the use of IT systems in infection surveillance and prevention and control.
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