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2012 年至 2019 年期间,德国一家大型大学医院发生的医院获得性副流感病毒 3 型和流感病毒感染的动态变化。

Dynamics of nosocomial parainfluenza virus type 3 and influenza virus infections at a large German University Hospital between 2012 and 2019.

机构信息

Institute of Virology, Leipzig University, Johannisallee 30, Leipzig 04103, Germany.

Institute of Virology, Leipzig University, Johannisallee 30, Leipzig 04103, Germany.

出版信息

Diagn Microbiol Infect Dis. 2021 Mar;99(3):115244. doi: 10.1016/j.diagmicrobio.2020.115244. Epub 2020 Oct 17.

Abstract

Nosocomial virus infections cause significant morbidity and mortality. Besides influenza viruses, the disease burden of parainfluenza virus type 3 (PIV-3) is comparatively high among hospitalized patients and severe disease courses can occur. PIV-3 showed the highest rates of nosocomial infections of a panel of respiratory viruses. Therefore, a retrospective observational study was conducted among patients with either PIV-3 or influenza viruses, which served as reference pathogen. The aim was to compare the seasonal dynamics and clinical characteristics of nosocomial infections with these highly transmittable viruses. Nosocomial infection occurred in 15.8% (n = 177) of all influenza cases, mainly in the first half of a season. About 24.3% (n = 104) of the PIV-3 cases were nosocomial and occurred mainly in the second half of a season. Both nosocomial rates of influenza and nosocomial rates of PIV-3 varied between the seasons. Community acquired and nosocomial cases differed in underlying medical conditions and immunosuppression. Knowledge of the baseline rates of nosocomial infections could contribute to the implementation of appropriate infection control measures.

摘要

医院获得性病毒感染会导致较高的发病率和死亡率。除了流感病毒外,呼吸道合胞病毒 3 型(PIV-3)在住院患者中的疾病负担也相对较高,可能导致严重的疾病过程。在一组呼吸道病毒中,PIV-3 导致医院获得性感染的比例最高。因此,进行了一项回顾性观察性研究,纳入了 PIV-3 或流感病毒感染的患者作为参考病原体。目的是比较这些高度传播性病毒引起的医院获得性感染的季节性动态和临床特征。在所有流感病例中,医院获得性感染的发生率为 15.8%(n=177),主要发生在季节的前半段。约 24.3%(n=104)的 PIV-3 病例为医院获得性感染,主要发生在季节的后半段。流感的医院获得率和 PIV-3 的医院获得率在不同季节有所差异。社区获得性和医院获得性病例在基础疾病和免疫抑制方面存在差异。了解医院获得性感染的基线率有助于实施适当的感染控制措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c60/7568502/f0c025ff2c11/gr1_lrg.jpg

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