From wild-type to Omicron: changes in SARS-CoV-2 hospital cluster dynamics. Observations from a German tertiary care hospital.

IF 1.6 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH GMS Hygiene and Infection Control Pub Date : 2024-04-17 eCollection Date: 2024-01-01 DOI:10.3205/dgkh000474
Britta Kohlmorgen, Annika Brodzinski, Sandra Jendrossek, Thorsten Jeske, Anne-Kathrin Putsch, Maja Weisker, Sandra Schneider, Frank Schwab, Petra Gastmeier, Sonja Hansen
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Abstract

Aim: SARS-CoV-2 hospital clusters are a challenge for healthcare systems. There is an increased risk of infection for both healthcare workers (HCWs) and patients; cluster countermeasures are also a drain on resources for the wards affected. We analysed to which extent characteristics and dynamics of SARS-CoV-2 clusters varied throughout the pandemic at a German university hospital.

Methods: Patient and/or HCW clusters from 10/2020 to 04/2022 were included in the study and grouped by virus variant into i.) clusters comprised of the presumably predominant wild-type, Alpha or Delta (WAD) SARS-COV-2 variants, and ii.) clusters comprised predominantly of Omicron subtype cases. The two groups were compared for specific characteristics and dynamics.

Results: Forty-two SARS-CoV-2 clusters and 528 cases were analysed. Twenty-one clusters and 297 cases were attributed to the WAD and 21 clusters and 231 cases to the Omicron group. There were no significant differences in median size (8 vs. 8 cases, p=0.94) or median duration (14 vs. 12 days; p=0.48), nor in the percentage of HCWs involved (46.8% vs. 50.2%; p=0.48). Patients in the WAD group were older (median 75 vs. 68 years of age; p≤0.05). The median time from cluster onset to case onset was significantly shorter for the Omicron group (median 6 vs. 11 days; p≤0.05).

Conclusions: Omicron clusters exhibited a more rapid dynamic, forcing all parties involved to adapt to the increased workload. Compared to excessive community case counts, constant Omicron cluster-affiliated case counts and stable cluster characteristics suggest an improved compliance with IPC countermeasures.

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从野生型到 Omicron:SARS-CoV-2 医院集群动态的变化。一家德国三级医院的观察结果。
目的:SARS-CoV-2 医院群对医疗系统来说是一个挑战。医护人员(HCWs)和患者的感染风险都会增加;集群应对措施也会消耗受影响病房的资源。我们分析了德国一所大学医院在整个大流行期间 SARS-CoV-2 集群的特征和动态变化程度:研究将 2020 年 10 月 10 日至 2022 年 4 月 4 日期间的患者和/或医护人员集群纳入研究,并按病毒变异体将其分为 i.) 由可能占主导地位的野生型、α 或δ(WAD)SARS-CoV-2 变异体组成的集群,以及 ii.) 主要由 Omicron 亚型病例组成的集群。对这两组病例的具体特征和动态进行了比较:结果:分析了 42 个 SARS-CoV-2 群体和 528 个病例。其中 21 个簇群和 297 个病例属于 WAD 组,21 个簇群和 231 个病例属于 Omicron 组。中位规模(8 例与 8 例,P=0.94)或中位持续时间(14 天与 12 天,P=0.48)以及所涉及的 HCW 的百分比(46.8% 与 50.2%,P=0.48)均无明显差异。WAD 组患者的年龄更大(中位年龄为 75 岁对 68 岁;P≤0.05)。欧米克隆组从集群发病到病例发病的中位时间明显更短(中位 6 天 vs. 11 天;p≤0.05):结论:奥米克隆组的动态变化更快,迫使所有相关方适应增加的工作量。与过多的社区病例数相比,Omicron 群组附属病例数的稳定和群组特征的稳定表明,IPC 应对措施的遵守情况有所改善。
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GMS Hygiene and Infection Control
GMS Hygiene and Infection Control PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
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