Department of Clinical Microbiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
School of Life Sciences, University of Nottingham, Nottingham, United Kingdom.
J Infect Dis. 2022 Jan 5;225(1):10-18. doi: 10.1093/infdis/jiab483.
Nosocomial severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections have severely affected bed capacity and patient flow. We utilized whole-genome sequencing (WGS) to identify outbreaks and focus infection control resources and intervention during the United Kingdom's second pandemic wave in late 2020. Phylogenetic analysis of WGS and epidemiological data pinpointed an initial transmission event to an admission ward, with immediate prior community infection linkage documented. High incidence of asymptomatic staff infection with genetically identical viral sequences was also observed, which may have contributed to the propagation of the outbreak. WGS allowed timely nosocomial transmission intervention measures, including admissions ward point-of-care testing and introduction of portable HEPA14 filters. Conversely, WGS excluded nosocomial transmission in 2 instances with temporospatial linkage, conserving time and resources. In summary, WGS significantly enhanced understanding of SARS-CoV-2 clusters in a hospital setting, both identifying high-risk areas and conversely validating existing control measures in other units, maintaining clinical service overall.
医院内严重急性呼吸综合征冠状病毒 2 型(SARS-CoV-2)感染严重影响了床位容量和患者流动。我们利用全基因组测序(WGS)在 2020 年末英国第二波大流行期间识别暴发,并集中感染控制资源和干预措施。WGS 和流行病学数据的系统发育分析确定了一个初始传播事件与一个入院病房有关,并记录了之前有社区感染的关联。还观察到大量无症状工作人员感染具有遗传相同病毒序列的情况,这可能导致了暴发的传播。WGS 允许及时采取医院内传播干预措施,包括入院病房即时检测和引入便携式 HEPA14 过滤器。相反,WGS 在 2 个具有时空关联的病例中排除了医院内传播,节省了时间和资源。总之,WGS 显著增强了对医院环境中 SARS-CoV-2 集群的理解,既确定了高风险区域,又在其他单位验证了现有的控制措施,从而维持了整体临床服务。