Early predictors of intensive care unit admission among COVID-19 patients in Qatar
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...
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Frontiers Media S.A.
2024-03-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1278046/full |
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| author | Safae Abuyousef Shaikha Alnaimi Nabil E. Omar Nabil E. Omar Reem Elajez Eman Elmekaty Eiman Abdelfattah-Arafa Raja Barazi Rola Ghasoub Ala Rahhal Fatima Hamou Maha Al-Amri Ahmed Karawia Fatima Ajaj Raja Alkhawaja Ahmed Kardousha Ahmed Awaisu Adel Abou-Ali Mohamad Khatib Mohammed Aboukamar Moza Al-Hail |
| author_facet | Safae Abuyousef Shaikha Alnaimi Nabil E. Omar Nabil E. Omar Reem Elajez Eman Elmekaty Eiman Abdelfattah-Arafa Raja Barazi Rola Ghasoub Ala Rahhal Fatima Hamou Maha Al-Amri Ahmed Karawia Fatima Ajaj Raja Alkhawaja Ahmed Kardousha Ahmed Awaisu Adel Abou-Ali Mohamad Khatib Mohammed Aboukamar Moza Al-Hail |
| author_sort | Safae Abuyousef |
| collection | DOAJ |
| description | 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 patients admitted to ICU during the period February 29–May 29, 2020. For each case enrolled, one control was matched by age and gender.ResultsA 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).ConclusionHaving cardiovascular disease, diabetes, obesity, lymphopenia, dyspnea, and increased AST, ferritin, and CRP were independent predictors for ICU admission in patients with COVID-19. |
| first_indexed | 2024-04-24T22:23:21Z |
| format | Article |
| id | doaj.art-34451489ae0d458697019c35614f05c6 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-24T22:23:21Z |
| publishDate | 2024-03-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Public Health |
| spelling | doaj.art-34451489ae0d458697019c35614f05c62024-03-20T04:43:10ZengFrontiers Media S.A.Frontiers in Public Health2296-25652024-03-011210.3389/fpubh.2024.12780461278046Early predictors of intensive care unit admission among COVID-19 patients in QatarSafae Abuyousef0Shaikha Alnaimi1Nabil E. Omar2Nabil E. Omar3Reem Elajez4Eman Elmekaty5Eiman Abdelfattah-Arafa6Raja Barazi7Rola Ghasoub8Ala Rahhal9Fatima Hamou10Maha Al-Amri11Ahmed Karawia12Fatima Ajaj13Raja Alkhawaja14Ahmed Kardousha15Ahmed Awaisu16Adel Abou-Ali17Mohamad Khatib18Mohammed Aboukamar19Moza Al-Hail20Department of Pharmacy, Heart Hospital, Hamad Medical Corporation, Doha, QatarDepartment of Pharmacy, Hamad Bin Khalifa Medical City, Hamad Medical Corporation, Doha, QatarDepartment of Pharmacy, National Centre for Cancer Care and Research, Hamad Medical Corporation, Doha, QatarHealth Sciences Program, Clinical and Population Health Research, College of Pharmacy, Qatar University, Doha, QatarDepartment of Pharmacy, Hamad General Hospital, Hamad Medical Corporation, Doha, QatarDepartment of Pharmacy, Communicable Diseases Center, Hamad Medical Corporation, Doha, QatarDepartment of Pharmacy, Al-Khor Hospital, Hamad Medical Corporation, Doha, QatarDepartment of Pharmacy, Al Wakra Hospital, Hamad Medical Corporation, Doha, QatarDepartment of Pharmacy, National Centre for Cancer Care and Research, Hamad Medical Corporation, Doha, QatarDepartment of Pharmacy, Heart Hospital, Hamad Medical Corporation, Doha, QatarDepartment of Pharmacy, Heart Hospital, Hamad Medical Corporation, Doha, QatarDepartment of Pharmacy, Heart Hospital, Hamad Medical Corporation, Doha, QatarDepartment of Pharmacy, Rumailah Hospital, Hamad Medical Corporation, Doha, Qatar0Department of Pharmacy, Home Health Care, Hamad Medical Corporation, Doha, QatarDepartment of Pharmacy, Hamad General Hospital, Hamad Medical Corporation, Doha, QatarDepartment of Pharmacy, National Centre for Cancer Care and Research, Hamad Medical Corporation, Doha, Qatar1College of Pharmacy, QU Health, Qatar University, Doha, Qatar2Astellas Pharma Global Development, Inc., Northbrook, IL, United States3Department of Critical Care, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar4Department of Infectious Disease, Communicable Diseases Center, Hamad Medical Corporation, Doha, Qatar5Department of Pharmacy, Women’s Wellness and Research Center, Hamad Medical Corporation, Doha, QatarBackgroundCOVID-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 patients admitted to ICU during the period February 29–May 29, 2020. For each case enrolled, one control was matched by age and gender.ResultsA 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).ConclusionHaving cardiovascular disease, diabetes, obesity, lymphopenia, dyspnea, and increased AST, ferritin, and CRP were independent predictors for ICU admission in patients with COVID-19.https://www.frontiersin.org/articles/10.3389/fpubh.2024.1278046/fullCOVID-19predictorsrisk factorsintensive care unitmortalitycritically ill patients |
| spellingShingle | Safae Abuyousef Shaikha Alnaimi Nabil E. Omar Nabil E. Omar Reem Elajez Eman Elmekaty Eiman Abdelfattah-Arafa Raja Barazi Rola Ghasoub Ala Rahhal Fatima Hamou Maha Al-Amri Ahmed Karawia Fatima Ajaj Raja Alkhawaja Ahmed Kardousha Ahmed Awaisu Adel Abou-Ali Mohamad Khatib Mohammed Aboukamar Moza Al-Hail Early predictors of intensive care unit admission among COVID-19 patients in Qatar Frontiers in Public Health COVID-19 predictors risk factors intensive care unit mortality critically ill patients |
| title | Early predictors of intensive care unit admission among COVID-19 patients in Qatar |
| title_full | Early predictors of intensive care unit admission among COVID-19 patients in Qatar |
| title_fullStr | Early predictors of intensive care unit admission among COVID-19 patients in Qatar |
| title_full_unstemmed | Early predictors of intensive care unit admission among COVID-19 patients in Qatar |
| title_short | Early predictors of intensive care unit admission among COVID-19 patients in Qatar |
| title_sort | early predictors of intensive care unit admission among covid 19 patients in qatar |
| topic | COVID-19 predictors risk factors intensive care unit mortality critically ill patients |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1278046/full |
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