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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Azvudine group | Azvudine group included COVID-19 patients treated with azvudine antiviral therapy; |
| |
| No antiviral group | No antiviral group included COVID-19 patients treated with no antiviral therapy; | ||
| Monotamivir | Monotamivir group included COVID-19 patients treated with monotamivir antiviral therapy |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Azvudine | Drug | Received antiviral treatment with azvudine |
|
| Measure | Description | Time Frame |
|---|---|---|
| All-cause mortality of COVID-19 patients | All-cause mortality of COVID-19 patients | Time from onset to death |
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Inclusion Criteria:
The COVID-19 positive patients
Exclusion Criteria:
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The COVID-19 positive patients
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| The Fifth Affiliated Hospital of Sun Yat-sen University | Zhuhai | Guangdong | 519000 | China |
Publication of academic papers
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| ID | Term |
|---|---|
| D000086382 | COVID-19 |
| ID | Term |
|---|---|
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
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| ID | Term |
|---|---|
| C540945 | azvudine |
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| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |