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Determinants of mortality risk among Indonesian patients with COVID-19 [version 1; peer review: awaiting peer review]
Background: The mortality risk of the novel coronavirus disease 19 (COVID-19) remains a global concern. Particularly in Indonesia, patients aged 18-59 years have a high risk of death due to COVID-19. In this study, we analysed the determinants of mortality risk among patients with confirmed COVID-19...
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Published in: | F1000 research 2022, Vol.11, p.814 |
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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Background: The mortality risk of the novel coronavirus disease 19 (COVID-19)
remains a global concern. Particularly in Indonesia, patients aged 18-59 years have a high risk of death due to COVID-19. In this study, we analysed the determinants of mortality risk among patients with confirmed COVID-19.
Methods: A secondary analysis of data from the Indonesian COVID-19 dashboard, tracking COVID-19 cases from April 2020 to May 2021 was performed. Data of 22,314 patients with COVID-19 aged 18-59 years were analysed using descriptive analysis, chi-square test, and binary logistic regression to obtain adjusted odds ratios (AORs) with 95% confidence intervals (CIs).
Results: Factors associated with confirmed mortality risk among patients aged 18-59 years with COVID-19 included increasing age (AOR = 1.08; 95% CI = 1.07-1.09), hospitalised and on ventilator support (AOR = 130.75; 95% CI = 69.03-247.63), having severe disease (AOR = 15.24; 95% CI = 11.51-20.17), and travelling history (AOR = 1.36; 95% CI = 1.13-1.63).
Conclusions: These findings confirmed that
the increasing risk of death due to COVID-19 was associated with increasing age, ventilator support during hospitalisation, developing severe disease, and having a travelling history. This suggests that curative strategies should be strengthened with a focus on improving clinical governance by prioritising patients with the above variables. |
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ISSN: | 2046-1402 2046-1402 |
DOI: | 10.12688/f1000research.109554.1 |