{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T14:38:46Z","timestamp":1778769526965,"version":"3.51.4"},"reference-count":72,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,3,20]],"date-time":"2024-03-20T00:00:00Z","timestamp":1710892800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This was a case\u2013control study of adult patients with confirmed COVID-19. Cases were defined as patients admitted to ICU during the period February 29\u2013May 29, 2020. For each case enrolled, one control was matched by age and gender.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>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\u2009years (interquartile range\u2009=\u200918). Predictors independently associated with ICU admission were cardiovascular disease (adjusted odds ratio (aOR)\u2009=\u20091.64, 95% confidence interval (CI): 1.16\u20132.32, <jats:italic>p<\/jats:italic> =\u20090.005), diabetes (aOR\u2009=\u20091.52, 95% CI: 1.08\u20132.13, <jats:italic>p<\/jats:italic> =\u20090.016), obesity (aOR\u2009=\u20091.46, 95% CI: 1.03\u20132.08, <jats:italic>p<\/jats:italic> =\u20090.034), lymphopenia (aOR\u2009=\u20092.69, 95% CI: 1.80\u20134.02, <jats:italic>p<\/jats:italic> &amp;lt;\u20090.001), high AST (aOR\u2009=\u20092.59, 95% CI: 1.53\u20134.36, <jats:italic>p<\/jats:italic> &amp;lt;\u20090.001), high ferritin (aOR\u2009=\u20091.96, 95% CI: 1.40\u20132.74, <jats:italic>p<\/jats:italic> &amp;lt;\u20090.001), high CRP (aOR\u2009=\u20094.09, 95% CI: 2.81\u20135.96, <jats:italic>p<\/jats:italic> &amp;lt;\u20090.001), and dyspnea (aOR\u2009=\u20092.50, 95% CI: 1.77\u20133.54, <jats:italic>p<\/jats:italic> &amp;lt;\u20090.001).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Having cardiovascular disease, diabetes, obesity, lymphopenia, dyspnea, and increased AST, ferritin, and CRP were independent predictors for ICU admission in patients with COVID-19.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fpubh.2024.1278046","type":"journal-article","created":{"date-parts":[[2024,3,20]],"date-time":"2024-03-20T04:43:23Z","timestamp":1710909803000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Early predictors of intensive care unit admission among COVID-19 patients in Qatar"],"prefix":"10.3389","volume":"12","author":[{"given":"Safae","family":"Abuyousef","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaikha","family":"Alnaimi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nabil 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