Article ; Online: Clinical features and survival analysis of 97 coronavirus disease 2019 (COVID-19) patients.
2021 Volume 10, Issue 7, Page(s) 7270–7279
Abstract: ... disease 2019 (COVID-19) patients.: Methods: Ninety-seven COVID-19 patients were enrolled ... Background: We aim to investigate the clinical characteristics and survival rate of coronavirus ... patients with COVID-19, 4 severe patients died within one month during the 1-year follow-up ...
| Abstract | Background: We aim to investigate the clinical characteristics and survival rate of coronavirus disease 2019 (COVID-19) patients. Methods: Ninety-seven COVID-19 patients were enrolled. The laboratory results, lung imaging and medical treatment were compared. Patients were followed up after 1 year, and the Kaplan-Meier test was used for survival analysis. Results: Compared with the non-severe group, the age of the severe group was older, and the proportion of concomitant diseases were higher. As fever was the primary clinical manifestation, dyspnea and anorexia were more common in severe patients. Lung imaging manifestations and laboratory indicators were worse in the severe group. Accordingly, the treatment of glucocorticoid, antibiotics, and advanced life support were in high proportion. Of the 97 patients with COVID-19, 4 severe patients died within one month during the 1-year follow-up, with the median survival time of 47.0 weeks (95% CI: 45.1-48.9). Conclusions: Severe cases of COVID-19 are characterized by advanced age, more concomitant diseases and complications, which lead to a decreased short-term survival rate. However, there were no deaths after one month, which implied a good prognosis if the risk period were passed smoothly. |
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| MeSH term(s) | COVID-19 ; Humans ; Lung ; Retrospective Studies ; SARS-CoV-2 ; Survival Analysis |
| Language | English |
| Publishing date | 2021-07-05 |
| Publishing country | China |
| Document type | Journal Article |
| ZDB-ID | 2828544-X |
| ISSN | 2224-5839 ; 2224-5839 |
| ISSN (online) | 2224-5839 |
| ISSN | 2224-5839 |
| DOI | 10.21037/apm-21-393 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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