Early predictors of intensive care unit admission among COVID-19 patients in Qatar
Author | Abuyousef, Safae |
Author | Alnaimi, Shaikha |
Author | Omar, Nabil E. |
Author | Elajez, Reem |
Author | Elmekaty, Eman |
Author | Abdelfattah-Arafa, Eiman |
Author | Barazi, Raja |
Author | Ghasoub, Rola |
Author | Rahhal, Ala |
Author | Hamou, Fatima |
Author | Al-Amri, Maha |
Author | Karawia, Ahmed |
Author | Ajaj, Fatima |
Author | Alkhawaja, Raja |
Author | Kardousha, Ahmed |
Author | Awaisu, Ahmed |
Author | Abou-Ali, Adel |
Author | Khatib, Mohamad |
Author | Aboukamar, Mohammed |
Author | Al-Hail, Moza |
Available date | 2024-06-12T11:08:46Z |
Publication Date | 2024-03-20 |
Publication Name | Frontiers in Public Health |
Identifier | http://dx.doi.org/10.3389/fpubh.2024.1278046 |
Citation | Abuyousef, S., Alnaimi, S., Omar, N. E., Elajez, R., Elmekaty, E., Abdelfattah-Arafa, E., ... & Al-Hail, M. (2024). Early predictors of intensive care unit admission among COVID-19 patients in Qatar. Frontiers in Public Health, 12, 1278046. |
Abstract | Background: COVID-19 is associated with significant morbidity and mortality. This study aimed to explore the early predictors of intensive care unit (ICU) admission among patients with COVID-19. Methods: This was a case–control study of adult patients with confirmed COVID-19. Cases were defined as patients admitted to ICU during the period February 29–May 29, 2020. For each case enrolled, one control was matched by age and gender. Results: A total of 1,560 patients with confirmed COVID-19 were included. Each group included 780 patients with a predominant male gender (89.7%) and a median age of 49 years (interquartile range = 18). Predictors independently associated with ICU admission were cardiovascular disease (adjusted odds ratio (aOR) = 1.64, 95% confidence interval (CI): 1.16–2.32, p = 0.005), diabetes (aOR = 1.52, 95% CI: 1.08–2.13, p = 0.016), obesity (aOR = 1.46, 95% CI: 1.03–2.08, p = 0.034), lymphopenia (aOR = 2.69, 95% CI: 1.80–4.02, p < 0.001), high AST (aOR = 2.59, 95% CI: 1.53–4.36, p < 0.001), high ferritin (aOR = 1.96, 95% CI: 1.40–2.74, p < 0.001), high CRP (aOR = 4.09, 95% CI: 2.81–5.96, p < 0.001), and dyspnea (aOR = 2.50, 95% CI: 1.77–3.54, p < 0.001). Conclusion: Having cardiovascular disease, diabetes, obesity, lymphopenia, dyspnea, and increased AST, ferritin, and CRP were independent predictors for ICU admission in patients with COVID-19. |
Sponsor | The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by Hamad Medical Corporation (grant number: MRC-05-025). |
Language | en |
Publisher | Frontiers Media SA |
Subject | COVID-19 critically ill patients intensive care unit mortality predictors risk factors |
Type | Article |
Volume Number | 12 |
ESSN | 2296-2565 |
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