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Clinical Trial Summary

The purpose of this study is to explore the factors that can affect the development of severe cases in hospitalized patients with COVID-19, including basic diseases, laboratory parameters, and clinical manifestations; In addition,to explore whether Azvudine can reduce the mortality of hospitalized patients with COVID-19.


Clinical Trial Description

4201 COVID-19 patients discharged from our hospital were enrolled. Binary logistic regression analysis and ROC curve were used to investigate the role of comorbidities, laboratory parameters and clinical manifestation on progression of COVID-19 patients. We used propensity-score models conditional on baseline characteristics and Univariate Cox regression model to examine whether Azvudine can reduce the mortality of COVID-19 patients. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06006611
Study type Observational
Source Fifth Affiliated Hospital, Sun Yat-Sen University
Contact
Status Active, not recruiting
Phase
Start date August 5, 2023
Completion date October 30, 2023

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