《MedRxiv,3月16日,Ocular manifestations and clinical characteristics of 534 cases of COVID-19 in China: A cross-sectional study》

  • 来源专题:COVID-19科研动态监测
  • 编译者: zhangmin
  • 发布时间:2020-03-17
  • Ocular manifestations and clinical characteristics of 534 cases of COVID-19 in China: A cross-sectional study

    Liwen Chen, Chaohua Deng, Xuhui Chen, Xian Zhang, Bo Chen, Huimin Yu, Yuanjun Qin, Ke Xiao, Hong Zhang, Xufang Sun

    doi: https://doi.org/10.1101/2020.03.12.20034678

    Abstract

    Objective: The novel coronavirus disease (COVID-19) was first reported in Wuhan, China in December 2019 and is now pandemic all over the world. Previous study has reported several COVID-19 cases with conjunctivitis. However, the complete profiling of COVID-19 related ocular symptoms and diseases are still missing. We aim to investigate the ocular manifestations and clinical characteristics of COVID-19 patients. Methods: A total of five hundred and thirty-four patients were recruited at Mobile Cabin Hospital and Tongji Hospital. We collected information on demographic characteristics, exposure history, ocular symptoms, systemic concomitant symptoms, eye drop medication, eye protections, radiologic findings, and SARS-CoV-2 detection in nasopharyngeal swabs by RT-PCR from questionnaires and electronic medical records.

    *注,本文为预印本论文手稿,是未经同行评审的初步报告,其观点仅供科研同行交流,并不是结论性内容,请使用者谨慎使用.

  • 原文来源:https://www.medrxiv.org/content/10.1101/2020.03.12.20034678v1
相关报告
  • 《MedRxiv,3月10日,Estimation of incubation period distribution of COVID-19 using disease onset forward time: a novel cross-sectional and forward follow-up study》

    • 来源专题:COVID-19科研动态监测
    • 编译者:zhangmin
    • 发布时间:2020-03-11
    • Estimation of incubation period distribution of COVID-19 using disease onset forward time: a novel cross-sectional and forward follow-up study Qin Jing, Chong You, Qiushi Lin, Taojun Hu, Shicheng Yu, Xiao-Hua Zhou doi: https://doi.org/10.1101/2020.03.06.20032417 Abstract Background: The current outbreak of coronavirus disease 2019 (COVID-19) has quickly spread across countries and become a global crisis. However, one of the most important clinical characteristics in epidemiology, the distribution of the incubation period, remains unclear. Different estimates of the incubation period of COVID-19 were reported in recent published studies, but all have their own limitations. In this study, we propose a novel low-cost and accurate method to estimate the incubation distribution. *注,本文为预印本论文手稿,是未经同行评审的初步报告,其观点仅供科研同行交流,并不是结论性内容,请使用者谨慎使用.
  • 《MedRxiv,2月23日,Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 epidemic in China: a web-based cross-sectional survey》

    • 来源专题:COVID-19科研动态监测
    • 编译者:xuwenwhlib
    • 发布时间:2020-02-24
    • Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 epidemic in China: a web-based cross-sectional survey Yeen Huang, Ning Zhao doi: https://doi.org/10.1101/2020.02.19.20025395 Abstract Background: China has been severely affected by COVID-19 (Corona Virus Disease 2019) since December, 2019. This study aimed to assess the population mental health burden during the epidemic, and to explore the potential influence factors. Methods: Using a web-based cross-sectional survey, we collected data from 603 self-selected volunteers assessed with demographic information, COVID-19 related knowledge, Generalized Anxiety Disorder-7 (GAD-7), Center for Epidemiology Scale for Depression (CES-D), and Pittsburgh Sleep Quality Index (PSQI). Logistic regression were used to identify influence factors associated with mental health problem. Results: Of the total sample analyzed, the overall prevalence of GAD, depressive symptoms, and sleep quality were 34.0%, 18.1%, and 18.1%, respectively. Young people reported a higher prevalence of depressive symptoms than older people (P=0.024). Compared with other occupational group, healthcare workers have the highest rate of poor sleep quality (P=0.045). Multivariate logistic regression showed that age (< 35 years) and times to focus on the COVID-19 (≥ 3 hours per day) were associated with GAD, and healthcare workers were associated with poor sleep quality. Conclusions: Our study identified a major mental health burden of the public during COVID-19 epidemic in China. Young people, people who spent too much time on the epidemic, and healthcare workers were at high risk for mental illness. Continuous surveillance and monitoring of the psychological consequences for outbreaks should become routine as part of preparedness efforts worldwide. *注,本文为预印本论文手稿,是未经同行评审的初步报告,其观点仅供科研同行交流,并不是结论性内容,请使用者谨慎使用.