Article ; Online: Prognostic Factors Associated with Survival in Patients Infected with COVID-19: A Retrospective Study on 214 Patients from Iran.
2021 Volume 24, Issue 4, Page(s) 333–338
Abstract: ... in the Taleghani hospital as outpatients with suspicious signs and symptoms of COVID-19 in 2 months, 214 people ... features of the definite COVID-19 cases. Through Cox regression and statistical analysis, the risk factors ... of a strong health system reaction to the coronavirus disease 2019 (COVID-19) pandemic ...
| Abstract | Background: Decision-making on allocating scarce medical resources is crucial in the context of a strong health system reaction to the coronavirus disease 2019 (COVID-19) pandemic. Therefore, understanding the risk factors related to a high mortality rate can enable the physicians for a better decision-making process. Methods: Information was collected regarding clinical, demographic, and epidemiological features of the definite COVID-19 cases. Through Cox regression and statistical analysis, the risk factors related to mortality were determined. The Kaplan-Meier curve was used to estimate survival function and measure the mean length of living time in the patients. Results: Among about 3000 patients admitted in the Taleghani hospital as outpatients with suspicious signs and symptoms of COVID-19 in 2 months, 214 people were confirmed positive for this virus using the polymerase chain reaction (PCR) technique. Median time to death was 30 days. In this population, 24.29% of the patients died and 24.76% of them were admitted to the ICU (intensive care unit) during hospitalization. The results of Multivariate Cox regression Analysis showed that factors including age (HR, 1.031; 95% CI, 1.001-1.062; Conclusion: Predictor factors play an important role in decisions on public health policy-making. Our findings suggested that advanced age and CRP were independent mortality rate predictors in the admitted patients. |
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| Language | English | |||||
| Publishing date | 2021-04-01 | |||||
| Publishing country | Iran | |||||
| Document type | Journal Article | |||||
| ZDB-ID | 2204979-4 | |||||
| ISSN | 1735-3947 ; 1029-2977 | |||||
| ISSN (online) | 1735-3947 | |||||
| ISSN | 1029-2977 | |||||
| DOI | 10.34172/aim.2021.47 | |||||
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| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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