《ClinicaChimicaActa,3月13日,Thrombocytopenia is associated with severe coronavirus disease 2019 (COVID-19) infections: A meta-analysis》

  • 来源专题:COVID-19科研动态监测
  • 编译者: zhangmin
  • 发布时间:2020-03-16
  • Thrombocytopenia is associated with severe coronavirus disease 2019 (COVID-19) infections: A meta-analysis

    GiuseppeLippi, MarioPlebani, BrandonMichael Henry

    Show more

    https://doi.org/10.1016/j.cca.2020.03.022

    Abstract

    Background

    Coronavirus disease 2019 (COVID-19) is a novel infectious disease with lack of established laboratory markers available to evaluate illness severity. In this study, we investigate whether platelet count could differentiate between COVID-19 patients with or without severe disease. Additionally, we evaluate if thrombocytopenia is associated with severe COVID-19.

  • 原文来源:https://www.sciencedirect.com/science/article/pii/S0009898120301248
相关报告
  • 《ClinicaChimicaActa,3月4日,Procalcitonin in patients with severe coronavirus disease 2019 (COVID-19): a meta-analysis》

    • 来源专题:COVID-19科研动态监测
    • 编译者:zhangmin
    • 发布时间:2020-03-08
    • Procalcitonin in patients with severe coronavirus disease 2019 (COVID-19): a meta-analysis GiuseppeLippi, MarioPlebani Show more https://doi.org/10.1016/j.cca.2020.03.004 Coronavirus disease 2019 (COVID-19), a new form of respiratory and systemic disorder sustained by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is now producing an outbreak of pandemic proportions, whereby nearly 90,000 people have already been infected around the world, 10-15% of whom with severe disease and over 2900 already died [1]. A severe form of pneumonia, potentially evolving towards adult respiratory distress syndrome (ARDS) and occasionally associated with multiorgan failure, are the leading complications of this respiratory virus [2].
  • 《LANCET,5月18日,Psychiatric and neuropsychiatric presentations associated with severe coronavirus infections: a systematic review and meta-analysis with comparison to the COVID-19 pandemic》

    • 来源专题:COVID-19科研动态监测
    • 编译者:xuwenwhlib
    • 发布时间:2020-05-19
    • Psychiatric and neuropsychiatric presentations associated with severe coronavirus infections: a systematic review and meta-analysis with comparison to the COVID-19 pandemic Jonathan P Rogers, MRCPsych † Edward Chesney, MRCPsych † Dominic Oliver, MSc Thomas A Pollak, PhD Prof Philip McGuire, FMedSci Paolo Fusar-Poli, PhD Open AccessPublished:May 18, 2020DOI:https://doi.org/10.1016/S2215-0366(20)30203-0 Summary Background Before the COVID-19 pandemic, coronaviruses caused two noteworthy outbreaks: severe acute respiratory syndrome (SARS), starting in 2002, and Middle East respiratory syndrome (MERS), starting in 2012. We aimed to assess the psychiatric and neuropsychiatric presentations of SARS, MERS, and COVID-19. Methods In this systematic review and meta-analysis, MEDLINE, Embase, PsycINFO, and the Cumulative Index to Nursing and Allied Health Literature databases (from their inception until March 18, 2020), and medRxiv, bioRxiv, and PsyArXiv (between Jan 1, 2020, and April 10, 2020) were searched by two independent researchers for all English-language studies or preprints reporting data on the psychiatric and neuropsychiatric presentations of individuals with suspected or laboratory-confirmed coronavirus infection (SARS coronavirus, MERS coronavirus, or SARS coronavirus 2). We excluded studies limited to neurological complications without specified neuropsychiatric presentations and those investigating the indirect effects of coronavirus infections on the mental health of people who are not infected, such as those mediated through physical distancing measures such as self-isolation or quarantine. Outcomes were psychiatric signs or symptoms; symptom severity; diagnoses based on ICD-10, DSM-IV, or the Chinese Classification of Mental Disorders (third edition) or psychometric scales; quality of life; and employment. Both the systematic review and the meta-analysis stratified outcomes across illness stages (acute vs post-illness) for SARS and MERS. We used a random-effects model for the meta-analysis, and the meta-analytical effect size was prevalence for relevant outcomes, I2 statistics, and assessment of study quality.