Epidemiological and clinical based study on four passages of COVID-19 patients: intervention at asymptomatic period cont

  • PDF / 1,179,667 Bytes
  • 10 Pages / 595.276 x 790.866 pts Page_size
  • 33 Downloads / 115 Views

DOWNLOAD

REPORT


RESEARCH ARTICLE

Open Access

Epidemiological and clinical based study on four passages of COVID-19 patients: intervention at asymptomatic period contributes to early recovery Xiaohong Zhang1†, Hailian Wang2,3†, Youwei Wang1, Yu Lei1, Kaiju Xu1, Jie Zhang4, Ying Han5, Jun Zeng1*, Shaoping Deng2,3* and Yi Wang6*

Abstract Background: With the worldwide spread of the 2019 novel coronavirus, scarce knowledge is available on the clinical features of more than two passages of patients. Further, in China, early intervention policy has been enacted since February. Whether early intervention contributes to swift recovery is still unknown. Hence, in this study, we focused on the patients from an isolated area, investigated the epidemiological and clinical characteristics of four serial passages of the virus. Methods: From January 25 to February 29, 2020, all patient data on the SARS-CoV-2 passages in this isolated area were traced, and the patients were grouped according to the passaging of SARS-CoV-2. Clinical characteristics of patients, including laboratory, radiology, treatment and outcomes, were collected and analyzed. (Continued on next page)

* Correspondence: [email protected]; [email protected]; [email protected]; [email protected] † Xiaohong Zhang and Hailian Wang contributed equally to this work. 1 Department of Emergency Critical Care Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, Chengdu 610072, SC, China 2 Clinical Immunology Translational Medicine Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, Chengdu 610072, SC, China 6 Translational Medical Center, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, School of Medicine, University of Electronics Science and Technology of China, Chengdu 610072, SC, China Full list of author information is available at the end of the article © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Zhang et al. BMC Infectious Diseases

(2020)