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AuthorAbuyousef, Safae
AuthorAlnaimi, Shaikha
AuthorOmar, Nabil E.
AuthorElajez, Reem
AuthorElmekaty, Eman
AuthorAbdelfattah-Arafa, Eiman
AuthorBarazi, Raja
AuthorGhasoub, Rola
AuthorRahhal, Ala
AuthorHamou, Fatima
AuthorAl-Amri, Maha
AuthorKarawia, Ahmed
AuthorAjaj, Fatima
AuthorAlkhawaja, Raja
AuthorKardousha, Ahmed
AuthorAwaisu, Ahmed
AuthorAbou-Ali, Adel
AuthorKhatib, Mohamad
AuthorAboukamar, Mohammed
AuthorAl-Hail, Moza
Available date2024-06-12T11:08:46Z
Publication Date2024-03-20
Publication NameFrontiers in Public Health
Identifierhttp://dx.doi.org/10.3389/fpubh.2024.1278046
CitationAbuyousef, 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.
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85189336939&origin=inward
URIhttp://hdl.handle.net/10576/56121
AbstractBackground: 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.
SponsorThe 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).
Languageen
PublisherFrontiers Media SA
SubjectCOVID-19
critically ill patients
intensive care unit
mortality
predictors
risk factors
TitleEarly predictors of intensive care unit admission among COVID-19 patients in Qatar
TypeArticle
Volume Number12
ESSN2296-2565
dc.accessType Open Access


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