Prevalence of Nosocomial Infections During the COVID-19 Pandemic: A Systematic Review and Meta-analysis

S. Rafiei, Zahra Nejatifar, Rana Soheylirad, Samira Raoofi, Fatemeh Pashazadeh Kan, A. Ghashghaee
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Abstract

Background: Although the current literature suggests the significant impact of the COVID-19 pandemic on nosocomial infections, evidence is still scarce in this regard. Objectives: The present study aimed to systematically review the current literature to estimate the prevalence of hospital-acquired infections (HAIs) and their determinants during the COVID-19 pandemic. Methods: A comprehensive search was conducted via electronic databases such as EMBASE, Google Scholar, Scopus, PubMed, and Web of Science from the onset of the COVID-19 pandemic until the end of June 2021. To estimate the pooled prevalence of nosocomial infections, the random effects model was used. Results: The prevalence of HAIs during the COVID-19 pandemic was estimated at 15% (95% CI: 9 - 24). COVID-19 infection accounted for the highest infection rate in patients with HAIs (63%; 95% CI: 43 - 75), followed by bloodstream infections (39%; 95% CI: 56 - 24). Among the common organisms that infected patients with HAIs, coronavirus had the highest rate (63%; 95% CI: 43 - 75), followed by Enterococci and Enterococcus, respectively. In addition, positive significant correlations were observed between the prevalence of nosocomial infections, age, and length of hospital stay (P < 0.05). Conclusions: According to the results, nosocomial infections are an important consequence of the COVID-19 pandemic, particularly in the elderly and high-risk populations with prolonged hospital stay. Therefore, the early detection of infected individuals could be a key step toward improving the quality of response to the current pandemic.
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COVID-19大流行期间医院感染的流行:系统综述和荟萃分析
背景:虽然目前的文献表明COVID-19大流行对医院感染有重大影响,但这方面的证据仍然很少。目的:本研究旨在系统地回顾现有文献,以估计COVID-19大流行期间医院获得性感染(HAIs)的患病率及其决定因素。方法:通过EMBASE、Google Scholar、Scopus、PubMed、Web of Science等电子数据库,从2019冠状病毒病大流行开始至2021年6月底进行全面检索。为了估计医院感染的总流行率,我们使用了随机效应模型。结果:在COVID-19大流行期间,HAIs的患病率估计为15% (95% CI: 9 - 24)。在HAIs患者中,COVID-19感染的感染率最高(63%;95% CI: 43 - 75),其次是血流感染(39%;95% ci: 56 - 24)。在感染HAIs患者的常见生物中,冠状病毒的感染率最高(63%;95% CI: 43 - 75),其次分别是肠球菌和肠球菌。院内感染发生率与年龄、住院时间呈正相关(P < 0.05)。结论:医院感染是新冠肺炎大流行的重要后果,尤其是老年人和住院时间较长的高危人群。因此,早期发现感染者可能是提高应对当前大流行质量的关键一步。
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