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

• Váldodahkkit: Safae Abuyousef (Dahkki), Shaikha Alnaimi (Dahkki), Nabil E. Omar (Dahkki), Reem Elajez (Dahkki), Eman Elmekaty (Dahkki), Eiman Abdelfattah-Arafa (Dahkki), Raja Barazi (Dahkki), Rola Ghasoub (Dahkki), Ala Rahhal (Dahkki), Fatima Hamou (Dahkki), Maha Al-Amri (Dahkki), Ahmed Karawia (Dahkki), Fatima Ajaj (Dahkki), Raja Alkhawaja (Dahkki), Ahmed Kardousha (Dahkki), Ahmed Awaisu (Dahkki), Adel Abou-Ali (Dahkki), Mohamad Khatib (Dahkki), Mohammed Aboukamar (Dahkki), Moza Al-Hail (Dahkki)
• Materiálatiipa: Girji
• Almmustuhtton: Frontiers Media S.A., 2024-03-01T00:00:00Z.
• Fáttát: article
• Liŋkkat: Connect to this object online.

BackgroundCOVID-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.MethodsThis was a case-control study of adult patients with confirmed COVID-19. Cases were defined as patien...