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395. Early Predictors of Intensive Care Unit Admission among COVID-19 Patients in Qatar

BACKGROUND: Coronavirus disease (COVID-19) is associated with significant morbidity and mortality. This study aimed to explore the early predictors of intensive care unit (ICU) admission and in-hospital mortality among patients diagnosed with COVID-19. METHODS: This was a case-control study of adult...

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Autores principales: Abuyousef, Safae, Alnaimi, Shaikha, Omar, Nabil E, Elajez, Reem, Elmekaty, Eman Zeyad Ibrahim, Abdelfattah-Arafa, Eiman, Barazi, Raja, Ghasoub, Rola, Rahhal, Ala, Hamou, Fatima, Al-Amri, Maha K, Karawia, Ahmed, Ajaj, Fatima, Alkhawaja, Raja, Kardousha, Ahmed, Awaisu, Ahmed, Abou-Ali, Adel, Khatib, Mohamad, AbouKamar, Mohamed, Al-Hail, Moza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8644206/
http://dx.doi.org/10.1093/ofid/ofab466.596
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author Abuyousef, Safae
Alnaimi, Shaikha
Omar, Nabil E
Elajez, Reem
Elmekaty, Eman Zeyad Ibrahim
Abdelfattah-Arafa, Eiman
Barazi, Raja
Ghasoub, Rola
Rahhal, Ala
Hamou, Fatima
Al-Amri, Maha K
Karawia, Ahmed
Ajaj, Fatima
Alkhawaja, Raja
Kardousha, Ahmed
Awaisu, Ahmed
Abou-Ali, Adel
Khatib, Mohamad
AbouKamar, Mohamed
Al-Hail, Moza
author_facet Abuyousef, Safae
Alnaimi, Shaikha
Omar, Nabil E
Elajez, Reem
Elmekaty, Eman Zeyad Ibrahim
Abdelfattah-Arafa, Eiman
Barazi, Raja
Ghasoub, Rola
Rahhal, Ala
Hamou, Fatima
Al-Amri, Maha K
Karawia, Ahmed
Ajaj, Fatima
Alkhawaja, Raja
Kardousha, Ahmed
Awaisu, Ahmed
Abou-Ali, Adel
Khatib, Mohamad
AbouKamar, Mohamed
Al-Hail, Moza
author_sort Abuyousef, Safae
collection PubMed
description BACKGROUND: Coronavirus disease (COVID-19) is associated with significant morbidity and mortality. This study aimed to explore the early predictors of intensive care unit (ICU) admission and in-hospital mortality among patients diagnosed 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 (CVD) (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 aspartate aminotransferase (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 C-reactive protein (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). Similarly, significant predictors of mortality included CVD (aOR=2.16, 95% CI: 1.32- 3.53, p=0.002), diabetes (aOR=1.77, 95% CI: 1.07-2.90, p=0.025), cancer (aOR=4.65, 95% CI: 1.50-14.42, p= 0.008), lymphopenia (aOR=2.34, 95% CI: 1.45-3.78, p= 0.001), and high AST (aOR= 1.89, 95% CI: 1.04-3.43, p=0.036). Risk Factors for ICU admission among patients with COVID-19 (N=1560) [Image: see text] CONCLUSION: Having CVD, diabetes, lymphopenia, and increased AST were independent predictors for both ICU admission and in-hospital mortality in patients with COVID-19. In addition, obesity, high ferritin, and CRP levels were associated with increased risk of ICU admission, while cancer was strongly associated with in-hospital mortality. Early identification and monitoring of patients at risk is essential in planning the level of care needed to prevent delay in medical intervention. DISCLOSURES: Adel Abou-Ali, PharmD, PhD, Astellas Pharma Global Development, Inc. (Employee)
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spelling pubmed-86442062021-12-06 395. Early Predictors of Intensive Care Unit Admission among COVID-19 Patients in Qatar Abuyousef, Safae Alnaimi, Shaikha Omar, Nabil E Elajez, Reem Elmekaty, Eman Zeyad Ibrahim Abdelfattah-Arafa, Eiman Barazi, Raja Ghasoub, Rola Rahhal, Ala Hamou, Fatima Al-Amri, Maha K Karawia, Ahmed Ajaj, Fatima Alkhawaja, Raja Kardousha, Ahmed Awaisu, Ahmed Abou-Ali, Adel Khatib, Mohamad AbouKamar, Mohamed Al-Hail, Moza Open Forum Infect Dis Poster Abstracts BACKGROUND: Coronavirus disease (COVID-19) is associated with significant morbidity and mortality. This study aimed to explore the early predictors of intensive care unit (ICU) admission and in-hospital mortality among patients diagnosed 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 (CVD) (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 aspartate aminotransferase (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 C-reactive protein (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). Similarly, significant predictors of mortality included CVD (aOR=2.16, 95% CI: 1.32- 3.53, p=0.002), diabetes (aOR=1.77, 95% CI: 1.07-2.90, p=0.025), cancer (aOR=4.65, 95% CI: 1.50-14.42, p= 0.008), lymphopenia (aOR=2.34, 95% CI: 1.45-3.78, p= 0.001), and high AST (aOR= 1.89, 95% CI: 1.04-3.43, p=0.036). Risk Factors for ICU admission among patients with COVID-19 (N=1560) [Image: see text] CONCLUSION: Having CVD, diabetes, lymphopenia, and increased AST were independent predictors for both ICU admission and in-hospital mortality in patients with COVID-19. In addition, obesity, high ferritin, and CRP levels were associated with increased risk of ICU admission, while cancer was strongly associated with in-hospital mortality. Early identification and monitoring of patients at risk is essential in planning the level of care needed to prevent delay in medical intervention. DISCLOSURES: Adel Abou-Ali, PharmD, PhD, Astellas Pharma Global Development, Inc. (Employee) Oxford University Press 2021-12-04 /pmc/articles/PMC8644206/ http://dx.doi.org/10.1093/ofid/ofab466.596 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Poster Abstracts
Abuyousef, Safae
Alnaimi, Shaikha
Omar, Nabil E
Elajez, Reem
Elmekaty, Eman Zeyad Ibrahim
Abdelfattah-Arafa, Eiman
Barazi, Raja
Ghasoub, Rola
Rahhal, Ala
Hamou, Fatima
Al-Amri, Maha K
Karawia, Ahmed
Ajaj, Fatima
Alkhawaja, Raja
Kardousha, Ahmed
Awaisu, Ahmed
Abou-Ali, Adel
Khatib, Mohamad
AbouKamar, Mohamed
Al-Hail, Moza
395. Early Predictors of Intensive Care Unit Admission among COVID-19 Patients in Qatar
title 395. Early Predictors of Intensive Care Unit Admission among COVID-19 Patients in Qatar
title_full 395. Early Predictors of Intensive Care Unit Admission among COVID-19 Patients in Qatar
title_fullStr 395. Early Predictors of Intensive Care Unit Admission among COVID-19 Patients in Qatar
title_full_unstemmed 395. Early Predictors of Intensive Care Unit Admission among COVID-19 Patients in Qatar
title_short 395. Early Predictors of Intensive Care Unit Admission among COVID-19 Patients in Qatar
title_sort 395. early predictors of intensive care unit admission among covid-19 patients in qatar
topic Poster Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8644206/
http://dx.doi.org/10.1093/ofid/ofab466.596
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