Departments of Infection Control, Gundersen Health System, La Crosse, WI.
Kabara Cancer Research Institute, Gundersen Medical Foundation, La Crosse, WI.
Am J Infect Control. 2021 Oct;49(10):1232-1236. doi: 10.1016/j.ajic.2021.08.001. Epub 2021 Aug 8.
The COVID-19 pandemic poses a particularly high risk for End Stage Renal Disease (ESRD) patients so rapid identification of case clusters in ESRD facilities is essential. Nevertheless, with high community prevalence, a series of ESRD patients may test positive contemporaneously for reasons unrelated to their shared ESRD facility. Here we describe a series of 5 cases detected within 11 days in November 2020 in a hospital-based 32-station ESRD facility in Southwest Wisconsin, the subsequent facility-wide testing, and the use of genetic sequence analysis to evaluate links between cases.
Four patient cases and one staff case were identified in symptomatic individuals by RT-PCR. Facility-wide screening was conducted using rapid SARS-CoV-2 antigen tests. SARS-CoV-2 genome sequences were obtained from residual diagnostic specimens.
Facility-wide screening of 47 staff and 107 patients identified no additional cases. Residual specimens from 4 of 5 cases were available for genetic sequencing. Clear genetic differences proved that these contemporaneous cases were not linked.
With high community prevalence, epidemiological data alone is insufficient to deem a case cluster an outbreak. Cluster evaluation with genomic data, when available with a short turn-around time, can play an important role in infection prevention and control response programs.
COVID-19 大流行对终末期肾病(ESRD)患者构成特别高的风险,因此快速识别 ESRD 设施中的病例集群至关重要。然而,由于社区患病率高,一系列 ESRD 患者可能会同时因与他们共同的 ESRD 设施无关的原因检测出阳性。在这里,我们描述了 2020 年 11 月在威斯康星州西南部一家拥有 32 个站点的医院 ESRD 设施中 11 天内发现的 5 例连续病例,随后进行了全设施检测,并使用遗传序列分析评估病例之间的联系。
通过 RT-PCR 在有症状的个体中鉴定了 4 例患者病例和 1 例员工病例。使用快速 SARS-CoV-2 抗原检测对全设施进行筛查。从剩余的诊断标本中获得 SARS-CoV-2 基因组序列。
对 47 名员工和 107 名患者进行了全设施筛查,未发现其他病例。5 例中的 4 例的剩余标本可用于基因测序。明显的遗传差异证明这些同时发生的病例没有联系。
由于社区患病率高,仅依靠流行病学数据不足以将病例集群视为疫情爆发。当具有较短周转时间的基因组数据可用于聚类评估时,它可以在感染预防和控制应对计划中发挥重要作用。