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Characteristics and Early Predictors of Intensive Care Unit Admission among COVID-19 Patients in Qatar

PURPOSE: This study aimed to explore the early predictors of intensive care unit (ICU) admission and in-hospital mortality among patients diagnosed with Coronavirus disease (COVID-19). METHODS & MATERIALS: This was a case-control study of adult patients with confirmed COVID-19. Cases were define...

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Autores principales: Abuyousef, S., Alnaimi, S., Omar, N., Elajez, R., Elmekaty, E., Arafa, E., Barazi, R., Ghasoub, R., Rahhal, A., Hamou, F., Al-Amri, M., Karawia, A., Ajaj, F., Alkhawaja, R., Kardousha, A., Awaisu, A., Abou-Ali, A., Khatib, M., Aboukamar, M., Al-Hail, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884751/
http://dx.doi.org/10.1016/j.ijid.2021.12.062
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author Abuyousef, S.
Alnaimi, S.
Omar, N.
Elajez, R.
Elmekaty, E.
Arafa, E.
Barazi, R.
Ghasoub, R.
Rahhal, A.
Hamou, F.
Al-Amri, M.
Karawia, A.
Ajaj, F.
Alkhawaja, R.
Kardousha, A.
Awaisu, A.
Abou-Ali, A.
Khatib, M.
Aboukamar, M.
Al-Hail, M.
author_facet Abuyousef, S.
Alnaimi, S.
Omar, N.
Elajez, R.
Elmekaty, E.
Arafa, E.
Barazi, R.
Ghasoub, R.
Rahhal, A.
Hamou, F.
Al-Amri, M.
Karawia, A.
Ajaj, F.
Alkhawaja, R.
Kardousha, A.
Awaisu, A.
Abou-Ali, A.
Khatib, M.
Aboukamar, M.
Al-Hail, M.
author_sort Abuyousef, S.
collection PubMed
description PURPOSE: This study aimed to explore the early predictors of intensive care unit (ICU) admission and in-hospital mortality among patients diagnosed with Coronavirus disease (COVID-19). METHODS & MATERIALS: 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. Univariate and multivariate logistic regression models were used to identify the predictors for ICU admission and in-hospital mortality among the COVID‐19 patients. 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, IQR=18). Predictors independently associated with ICU admission included having 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), body mass index ≥30 kg/m2 (aOR=1.46, 95% CI: 1.03-2.08, p= 0.034), lymphocytes ≤0.8 × 103/μL (aOR=2.69, 95% CI: 1.80-4.02, p<0.001), aspartate aminotransferase (AST) >120 U/L (aOR= 2.59, 95% CI: 1.53-4.36, p<0.001), ferritin >600 μg/L (aOR=1.96, 95% CI: 1.40-2.74, p<0.001), C-reactive protein (CRP) >100 mg/L (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), lymphocytes ≤0.8 x,103/μL (aOR=2.34, 95% CI: 1.45-3.78, p= 0.001), and AST >120 U/L (aOR= 1.89, 95% CI: 1.04-3.43, p=0.036). 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 also 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.
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spelling pubmed-88847512022-03-01 Characteristics and Early Predictors of Intensive Care Unit Admission among COVID-19 Patients in Qatar Abuyousef, S. Alnaimi, S. Omar, N. Elajez, R. Elmekaty, E. Arafa, E. Barazi, R. Ghasoub, R. Rahhal, A. Hamou, F. Al-Amri, M. Karawia, A. Ajaj, F. Alkhawaja, R. Kardousha, A. Awaisu, A. Abou-Ali, A. Khatib, M. Aboukamar, M. Al-Hail, M. Int J Infect Dis Ps04.06 (673) PURPOSE: This study aimed to explore the early predictors of intensive care unit (ICU) admission and in-hospital mortality among patients diagnosed with Coronavirus disease (COVID-19). METHODS & MATERIALS: 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. Univariate and multivariate logistic regression models were used to identify the predictors for ICU admission and in-hospital mortality among the COVID‐19 patients. 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, IQR=18). Predictors independently associated with ICU admission included having 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), body mass index ≥30 kg/m2 (aOR=1.46, 95% CI: 1.03-2.08, p= 0.034), lymphocytes ≤0.8 × 103/μL (aOR=2.69, 95% CI: 1.80-4.02, p<0.001), aspartate aminotransferase (AST) >120 U/L (aOR= 2.59, 95% CI: 1.53-4.36, p<0.001), ferritin >600 μg/L (aOR=1.96, 95% CI: 1.40-2.74, p<0.001), C-reactive protein (CRP) >100 mg/L (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), lymphocytes ≤0.8 x,103/μL (aOR=2.34, 95% CI: 1.45-3.78, p= 0.001), and AST >120 U/L (aOR= 1.89, 95% CI: 1.04-3.43, p=0.036). 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 also 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. Published by Elsevier Ltd. 2022-03 2022-02-28 /pmc/articles/PMC8884751/ http://dx.doi.org/10.1016/j.ijid.2021.12.062 Text en Copyright © 2021 Published by Elsevier Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Ps04.06 (673)
Abuyousef, S.
Alnaimi, S.
Omar, N.
Elajez, R.
Elmekaty, E.
Arafa, E.
Barazi, R.
Ghasoub, R.
Rahhal, A.
Hamou, F.
Al-Amri, M.
Karawia, A.
Ajaj, F.
Alkhawaja, R.
Kardousha, A.
Awaisu, A.
Abou-Ali, A.
Khatib, M.
Aboukamar, M.
Al-Hail, M.
Characteristics and Early Predictors of Intensive Care Unit Admission among COVID-19 Patients in Qatar
title Characteristics and Early Predictors of Intensive Care Unit Admission among COVID-19 Patients in Qatar
title_full Characteristics and Early Predictors of Intensive Care Unit Admission among COVID-19 Patients in Qatar
title_fullStr Characteristics and Early Predictors of Intensive Care Unit Admission among COVID-19 Patients in Qatar
title_full_unstemmed Characteristics and Early Predictors of Intensive Care Unit Admission among COVID-19 Patients in Qatar
title_short Characteristics and Early Predictors of Intensive Care Unit Admission among COVID-19 Patients in Qatar
title_sort characteristics and early predictors of intensive care unit admission among covid-19 patients in qatar
topic Ps04.06 (673)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884751/
http://dx.doi.org/10.1016/j.ijid.2021.12.062
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