• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

J Transl Med . The Timeline and Risk Factors of Clinical Progression of COVID-19 in Shenzhen, China

tetano

Editor, Senior Moderator
J Transl Med


. 2020 Jul 3;18(1):270.
doi: 10.1186/s12967-020-02423-8.
The Timeline and Risk Factors of Clinical Progression of COVID-19 in Shenzhen, China


Fang Wang[SUP] 1 [/SUP], Mengyuan Qu[SUP] 2 [/SUP], Xuan Zhou[SUP] 1 [/SUP], Kai Zhao[SUP] 2 [/SUP], Changxiang Lai[SUP] 1 [/SUP], Qiyuan Tang[SUP] 1 [/SUP], Wenjie Xian[SUP] 1 [/SUP], Ruikun Chen[SUP] 1 [/SUP], Xuan Li[SUP] 1 [/SUP], Zhiyu Li[SUP] 1 [/SUP], Qing He[SUP] 3 [/SUP], Lei Liu[SUP] 4 [/SUP]



Affiliations

Abstract

Background: The novel coronavirus disease 2019 (COVID-19) broke out globally. Early prediction of the clinical progression was essential but still unclear. We aimed to evaluate the timeline of COVID-19 development and analyze risk factors of disease progression.
Methods: In this retrospective study, we included 333 patients with laboratory-confirmed COVID-19 infection hospitalized in the Third People's Hospital of Shenzhen from 10 January to 10 February 2020. Epidemiological feature, clinical records, laboratory and radiology manifestations were collected and analyzed. 323 patients with mild-moderate symptoms on admission were observed to determine whether they exacerbated to severe-critically ill conditions (progressive group) or not (stable group). We used logistic regression to identify the risk factors associated with clinical progression.
Results: Of all the 333 patients, 70 (21.0%) patients progressed into severe-critically ill conditions during hospitalization and assigned to the progressive group, 253 (76.0%) patients belonged to the stable group, another 10 patients were severe before admission. we found that the clinical features of aged over 40 (3.80 [1.72, 8.52]), males (2.21 [1.20, 4.07]), with comorbidities (1.78 [1.13, 2.81]) certain exposure history (0.38 [0.20, 0.71]), abnormal radiology manifestations (3.56 [1.13, 11.40]), low level of T lymphocytes (0.99 [0.997, 0.999]), high level of NLR (0.99 [0.97, 1.01]), IL-6 (1.05 [1.03, 1.07]) and CRP (1.67 [1.12, 2.47]) were the risk factors of disease progression by logistic regression.
Conclusions: The potential risk factors of males, older age, with comorbidities, low T lymphocyte level and high level of NLR, CRP, IL-6 can help to predict clinical progression of COVID-19 at an early stage.

Keywords: COVID-19; Clinical progression; Pneumonia; Retrospective analysis; Risk factor.
 
Back
Top Bottom