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This study intends to use the relevant case data of COVID-19 in Hubei Province, using big data processing and mining methods to evaluate the effects of clinical indicators, drug use and genes on the clinical prognosis of COVID-19 patients, so as to provide a theoretical basis for the treatment of these diseases and reduce the mortality.
Hubei Province, as the forefront of the fight against epidemic, has the largest number of patients infected with SARS-CoV-2 and the highest quality medical data. However, so far, these data have not been fully analyzed, if these data can not be mined and used, it will be a great loss to the whole human race. By fully mining and analyzing these data, we can sum up a large number of experiences related to COVID-19, summarize various laws of this kind of disease, and provide clinical evidence based on large samples for the research of this disease, eventually contribute China's experience to the global fight against the epidemic.
Based on the above background, this study intends to use the relevant case data of COVID-19 in Hubei Province, using big data processing and mining methods to evaluate the effects of clinical indicators, drug use and genes on the clinical prognosis of COVID-19 patients, so as to provide a theoretical basis for the treatment of these diseases and reduce the mortality.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| patients with coronavirus disease 2019 (COVID-19) | Patients diagnosed with COVID-19 in Hubei Province |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| No intervention | Other | No intervention |
|
| Measure | Description | Time Frame |
|---|---|---|
| All-cause mortality | Numbers and dates of death in each group | 2 years |
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Inclusion Criteria:
Exclusion Criteria:
Patients who meet any of the following criteria cannot be enrolled in this study:
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This study is a hospital-based observational study initiated by Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology. Trained researchers are responsible for screening and joining the group. About 6,8000 COVID-19 patients in Hubei Province were expected to be included in this study. Patients enrolled in the group will undergo baseline survey and follow-up according to the program.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Tongji Hospital | Wuhan | Hubei | 430030 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38467760 | Derived | Li D, He W, Yu B, Wang DW, Ni L. NT-proBNP ratio is a potential predictor for COVID-19 outcomes in adult Chinese patients: a retrospective study. Sci Rep. 2024 Mar 11;14(1):5906. doi: 10.1038/s41598-024-56329-2. | |
| 37566218 | Derived | Xu K, He W, Yu B, Zhong K, Zhou D, Wang DW. Beneficial Effects of Angiotensin II Receptor Blockers on Mortality in Patients with COVID-19: A Retrospective Study from 2019 to 2020 in China. Cardiovasc Drugs Ther. 2025 Feb;39(1):63-74. doi: 10.1007/s10557-023-07494-5. Epub 2023 Aug 11. |
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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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| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |