AUTHOR=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 

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

JOURNAL=Frontiers in Public Health

VOLUME=Volume 12 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2024.1278046

DOI=10.3389/fpubh.2024.1278046

ISSN=2296-2565

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 1560 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%