Department of Medicine, University of Washington, Seattle.
Seattle Children's Hospital, University of Washington, Seattle.
Clin Infect Dis. 2019 Aug 30;69(6):941-948. doi: 10.1093/cid/ciy1020.
Norovirus outbreaks in hospital settings are a common challenge for infection prevention teams. Given the high burden of norovirus in most communities, it can be difficult to distinguish between ongoing in-hospital transmission of the virus and new introductions from the community, and it is challenging to understand the long-term impacts of outbreak-associated viruses within medical systems using traditional epidemiological approaches alone.
Real-time metagenomic sequencing during an ongoing norovirus outbreak associated with a retrospective cohort study.
We describe a hospital-associated norovirus outbreak that affected 13 patients over a 27-day period in a large, tertiary, pediatric hospital. The outbreak was chronologically associated with a spike in self-reported gastrointestinal symptoms among staff. Real-time metagenomic next-generation sequencing (mNGS) of norovirus genomes demonstrated that 10 chronologically overlapping, hospital-acquired norovirus cases were partitioned into 3 discrete transmission clusters. Sequencing data also revealed close genetic relationships between some hospital-acquired and some community-acquired cases. Finally, this data was used to demonstrate chronic viral shedding by an immunocompromised, hospital-acquired case patient. An analysis of serial samples from this patient provided novel insights into the evolution of norovirus within an immunocompromised host.
This study documents one of the first applications of real-time mNGS during a hospital-associated viral outbreak. Given its demonstrated ability to detect transmission patterns within outbreaks and elucidate the long-term impacts of outbreak-associated viral strains on patients and medical systems, mNGS constitutes a powerful resource to help infection control teams understand, prevent, and respond to viral outbreaks.
医院环境中的诺如病毒爆发是感染预防团队面临的常见挑战。鉴于大多数社区中诺如病毒的负担很高,区分病毒在医院内的持续传播和来自社区的新输入可能具有挑战性,并且仅使用传统的流行病学方法难以了解医疗系统中与爆发相关的病毒的长期影响。
在与回顾性队列研究相关的持续诺如病毒爆发期间进行实时宏基因组测序。
我们描述了一起发生在大型三级儿科医院的与诺如病毒相关的医院感染爆发,共影响了 13 名患者,持续了 27 天。该爆发与员工自述的胃肠道症状急剧增加在时间上相关。对诺如病毒基因组进行实时宏基因组下一代测序(mNGS)表明,10 个时间重叠的医院获得性诺如病毒病例分为 3 个离散的传播簇。测序数据还显示,一些医院获得性和一些社区获得性病例之间存在密切的遗传关系。最后,该数据用于证明免疫功能低下的医院获得性病例患者存在慢性病毒脱落。对该患者的连续样本进行分析为诺如病毒在免疫功能低下宿主中的进化提供了新的见解。
本研究记录了实时 mNGS 在医院相关病毒爆发期间的首次应用之一。鉴于其在爆发中检测传播模式并阐明与爆发相关的病毒株对患者和医疗系统的长期影响的能力,mNGS 是帮助感染控制团队了解、预防和应对病毒爆发的有力资源。