(2022) Evaluation of predictors of mortality in patients with COVID-19: a systematic review and meta-analysis. Eurasian Chemical Communications. pp. 392-401. ISSN 2717-0535
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Abstract
Evaluation of predictors of mortality in patients with COVID-19. In the present study, articles published from January 2019 to December 1, 2021, were reviewed in PubMed, Scopus, Web of Science, and EBSCO databases. A software program (Endnote X8) was utilized to manage electronic titles. The 95 confidence interval for Odds ratio and mean differences, fixed effect method, and Mantel-Haenszel or Inverse-variance formula were calculated. Meta-analysis in the present study was performed using Stata 16 software. A total of 281 articles were found within the beginning search. The full text of 42 articles was reviewed, and 32 articles were excluded due to lack of access to the complete content of the article and lack of relevance to the title and purpose of the article. Finally, ten studies were selected. The odds ratio of hypertension between Surviving and Deceased cases was 0.99 (OR, 0.99 95 CI 0.82, 1.15; p=0.00). Odds ratio of other comorbidities such as cardiovascular, diabetes and respiratory comorbidities between Surviving cases and Deceased cases was (OR, 1.0 95 CI 0.92, 1.84; p=0.00), (OR, 0.81 95 CI 0.72, 1.27; p=0.00), (OR, 0.78 95 CI 0.64, 1.05; p=0.00), respectively. Meta-analysis showed that comorbidities and fatigue increased mortality rate in COVID-19 patients, and the association of onset of symptoms to admission time with COVID-19 mortality was statistically significant.
Item Type: | Article |
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Keywords: | COVID-19 mortality predictors comorbidities clinical manifestations Chemistry |
Divisions: | Education Vice-Chancellor Department > Faculty of Nursing and Midwifery > Department of Medical Surgical Nursing |
Page Range: | pp. 392-401 |
Journal or Publication Title: | Eurasian Chemical Communications |
Journal Index: | ISI |
Volume: | 4 |
Number: | 5 |
Identification Number: | https://doi.org/10.22034/ecc.2022.323511.1292 |
ISSN: | 2717-0535 |
Depositing User: | خانم مهتاب اکبری |
URI: | http://eprints.rums.ac.ir/id/eprint/29758 |
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