《Nature,5月5日,Impact of corticosteroid therapy on outcomes of persons with SARS-CoV-2, SARS-CoV, or MERS-CoV infection: a systematic review and meta-analysis》

  • 来源专题:COVID-19科研动态监测
  • 编译者: zhangmin
  • 发布时间:2020-05-06
  • Impact of corticosteroid therapy on outcomes of persons with SARS-CoV-2, SARS-CoV, or MERS-CoV infection: a systematic review and meta-analysis

    Huan Li, Chongxiang Chen, Fang Hu, Jiaojiao Wang, Qingyu Zhao, Robert Peter Gale & Yang Liang

    Leukemia (2020)

    Abstract

    We performed a meta-analysis to determine safety and efficacy of corticosteroids in SARS-CoV-2, SARS-CoV, and MERS-CoV infections. We searched PubMed, Web of Science, Medline, WanFang Chinese database, and ZhiWang Chinese database using Boolean operators and search terms covering SARS-CoV-2, SARS-CoV, OR MERS-CoV AND corticosteroids to find appropriate studies. Review Manager 5.3 was used to analyze results of meta-analysis. Observational studies were analyzed for quality using the modified Newcastle–Ottawa scale and randomized clinical trials, using the Jadad scale. Subjects were divided into those with severe-only and other (severe and not severe) cohorts based on published criteria. Efficacy endpoints studied included mortality, hospitalization duration, rates of intensive care unit (ICU) admission, use of mechanical ventilation, and a composite endpoint (death, ICU admission, or mechanical ventilation).

  • 原文来源:https://www.nature.com/articles/s41375-020-0848-3
相关报告
  • 《5月5日_糖皮质激素药物对SARS-CoV-2、SARS-CoV、MERS-CoV感染患者的影响》

    • 来源专题:COVID-19科研动态监测
    • 编译者:xuwenwhlib
    • 发布时间:2020-05-06
    • 信息名称:糖皮质激素药物对SARS-CoV-2、SARS-CoV、MERS-CoV感染患者的影响 1.时间:2020年5月5日 2.机构或团队:中山大学、广州医科大学第一附属医院、福州肺科医院、英国帝国理工学院 3.事件概要: 中山大学联合多家机构在Nature子刊Leukemia发表论文“Impact of corticosteroid therapy on outcomes of persons with SARS-CoV-2, SARS-CoV, or MERS-CoV infection: a systematic review and meta-analysis”。文章旨在探究糖皮质激素在SARS-CoV-2、SARS-CoV和MERS-CoV感染中的安全性和有效性。 文章基于布尔运算搜索PubMed、Web of Science、Medline、万方中文数据库和知网中文数据库,搜索包括SARS-CoV-2、SARS-CoV、MERS-CoV和糖皮质激素,使用Review Manager 5.3进行meta分析,观察性研究采用改良的Newcastle-Ottawa scale进行质量分析,随机临床试验采用Jadad scale进行质量分析。文章纳入11份报告(2003-2020年),包括10项队列研究和1项随机临床试验,涉及5249名受试者。其中两篇讨论了糖皮质激素与清除病毒的关系,另十篇探讨了糖皮质激素如何影响死亡率、住院时间、机械通气的使用和综合临床终点。糖皮质激素使用与病毒清除延迟有关,平均差异(MD) = 3.78天;相对危险率(RR) = 1.07,死亡人数无明显下降;住院时间延长,机械通气使用增加。综上所述,在SARS-CoV-2、SARS-CoV和MERS-CoV感染的受试者中使用皮质类固醇延迟了病毒清除,并没有明显地改善生存率、住院时间或ICU入院率和/或机械通气的使用。因此,作者建议疫情期间,COVID-19患者应慎用糖皮质激素。 4.原文链接:https://www.nature.com/articles/s41375-020-0848-3
  • 《Science,2月5日,Phylogenetic analysis of SARS-CoV-2 in Boston highlights the impact of superspreading events》

    • 来源专题:COVID-19科研动态监测
    • 编译者:zhangmin
    • 发布时间:2021-02-25
    • Phylogenetic analysis of SARS-CoV-2 in Boston highlights the impact of superspreading events View ORCID ProfileJacob E. Lemieux1,2,*,†, View ORCID ProfileKatherine J. Siddle1,3,*, View ORCID ProfileBennett M. Shaw1,2, View ORCID ProfileChristine Loreth1, View ORCID ProfileStephen F. Schaffne... Science  05 Feb 2021: Vol. 371, Issue 6529, eabe3261 DOI: 10.1126/science.abe3261 Structured Abstract INTRODUCTION We used genomic epidemiology to investigate the introduction and spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the Boston area across the first wave of the pandemic, from March through May 2020, including high-density sampling early in this period. Our analysis provides a window into the amplification of transmission in an urban setting, including the impact of superspreading events on local, national, and international spread. RATIONALE Superspreading is recognized as an important driver of SARS-CoV-2 transmission, but the determinants of superspreading—why apparently similar circumstances can lead to very different outcomes—are poorly understood. The broader impact of such events, both on local transmission and on the overall trajectory of the pandemic, can also be difficult to determine. Our dataset includes hundreds of cases that resulted from superspreading events with different epidemiological features, which allowed us to investigate the nature and effect of superspreading events in the first wave of the pandemic in the Boston area and to track their broader impact.