Early predictors of intensive care unit admission among COVID-19 patients in Qatar

• Published in: Frontiers in public health 2024-03, Vol.12, p.1278046-1278046
• Main Authors: Abuyousef, Safae, Alnaimi, Shaikha, Omar, Nabil E, Elajez, Reem, Elmekaty, Eman, Abdelfattah-Arafa, Eiman, Barazi, Raja, Ghasoub, Rola, Rahhal, Ala, Hamou, Fatima, Al-Amri, Maha, Karawia, Ahmed, Ajaj, Fatima, Alkhawaja, Raja, Kardousha, Ahmed, Awaisu, Ahmed, Abou-Ali, Adel, Khatib, Mohamad, Aboukamar, Mohammed, Al-Hail, Moza
• Format: Article
• Language: English
• Subjects: COVID-19; critically ill patients; intensive care unit; mortality; predictors; Public Health; risk factors
• ISSN: 2296-2565; 2296-2565
• DOI: 10.3389/fpubh.2024.1278046

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. 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. 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, = 0.005), diabetes (aOR = 1.52, 95% CI: 1.08-2.13, = 0.016), obesity (aOR = 1.46, 95% CI: 1.03-2.08, = 0.034), lymphopenia (aOR = 2.69, 95% CI: 1.80-4.02,