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Prevalence and predictors of in-hospital mortality of patients hospitalized with COVID-19 infection

BACKGROUND: The severity and mortality from COVID-19 infection vary among populations. The aim of this study was to determine the prevalence and predictors of mortality among patients hospitalized with COVID-19 infection in a tertiary care hospital in Oman. METHODS: We conducted a retrospective stud...

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Autores principales: Khamis, Faryal, Memish, Ziad, Bahrani, Maher Al, Dowaiki, Samata Al, Pandak, Nenad, Bolushi, Zakaryia Al, Salmi, Issa Al, Al-Zakwani, Ibrahim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8053361/
https://www.ncbi.nlm.nih.gov/pubmed/34022734
http://dx.doi.org/10.1016/j.jiph.2021.03.016
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author Khamis, Faryal
Memish, Ziad
Bahrani, Maher Al
Dowaiki, Samata Al
Pandak, Nenad
Bolushi, Zakaryia Al
Salmi, Issa Al
Al-Zakwani, Ibrahim
author_facet Khamis, Faryal
Memish, Ziad
Bahrani, Maher Al
Dowaiki, Samata Al
Pandak, Nenad
Bolushi, Zakaryia Al
Salmi, Issa Al
Al-Zakwani, Ibrahim
author_sort Khamis, Faryal
collection PubMed
description BACKGROUND: The severity and mortality from COVID-19 infection vary among populations. The aim of this study was to determine the prevalence and predictors of mortality among patients hospitalized with COVID-19 infection in a tertiary care hospital in Oman. METHODS: We conducted a retrospective study using database that included: demographic, clinical characteristics, laboratory parameters, medications and clinical outcomes of all patients hospitalized in Royal Hospital, Muscat, Oman, between March 12, 2020 and December 1st 2020. Univariate and multivariate logistic regression was performed to investigate the relationship between each variable and the risk of death of COVID-19 infected patients. RESULTS: In total,1002 patients with COVID-19 infection with mean age of the cohort was 54 ± 16 years (65% (n = 650) male) were included, with an overall and intensive care unit (ICU) mortalities of 26% (n = 257) and 42% (n = 199/473), respectively. The prevalence of ICU admission was 47% (n = 473) and the need for mechanical ventilation was 41% (n = 413). The overall length of stay in the ICU was 13 (9–21) days. Adjusting for other factors in the model, the multivariable logistic regression demonstrated that in-hospital mortality in admitted COVID-19 patients was associated with old age (p < 0.001), heart diseases (adjusted odds ratio (aOR), 1.84; 95% confidence interval (CI): 1.11–3.03; p = 0.018), liver diseases (aOR, 4.48; 95% CI: 1.04–19.3; p = 0.044), those with higher ferritin levels (aOR, 1.00; 95% CI: 1.00–1.00; p = 0.006), acute respiratory distress syndrome (ARDS) (aOR, 3.20; 95% CI: 1.65–6.18; p = 0.001), sepsis (aOR, 1.77; 95% CI: 1.12–2.80; p = 0.022), and those that had ICU admission (aOR, 2.22; 95% CI: 1.12–4.38; p = 0.022). CONCLUSION: In this cohort, mortality in hospitalized COVID-19 patients was high and was associated with advanced age, heart diseases, liver disease, high ferritin, ARDS, sepsis and ICU admission. These high-risk groups should be prioritized for COVID-19 vaccinations.
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spelling pubmed-80533612021-04-19 Prevalence and predictors of in-hospital mortality of patients hospitalized with COVID-19 infection Khamis, Faryal Memish, Ziad Bahrani, Maher Al Dowaiki, Samata Al Pandak, Nenad Bolushi, Zakaryia Al Salmi, Issa Al Al-Zakwani, Ibrahim J Infect Public Health Article BACKGROUND: The severity and mortality from COVID-19 infection vary among populations. The aim of this study was to determine the prevalence and predictors of mortality among patients hospitalized with COVID-19 infection in a tertiary care hospital in Oman. METHODS: We conducted a retrospective study using database that included: demographic, clinical characteristics, laboratory parameters, medications and clinical outcomes of all patients hospitalized in Royal Hospital, Muscat, Oman, between March 12, 2020 and December 1st 2020. Univariate and multivariate logistic regression was performed to investigate the relationship between each variable and the risk of death of COVID-19 infected patients. RESULTS: In total,1002 patients with COVID-19 infection with mean age of the cohort was 54 ± 16 years (65% (n = 650) male) were included, with an overall and intensive care unit (ICU) mortalities of 26% (n = 257) and 42% (n = 199/473), respectively. The prevalence of ICU admission was 47% (n = 473) and the need for mechanical ventilation was 41% (n = 413). The overall length of stay in the ICU was 13 (9–21) days. Adjusting for other factors in the model, the multivariable logistic regression demonstrated that in-hospital mortality in admitted COVID-19 patients was associated with old age (p < 0.001), heart diseases (adjusted odds ratio (aOR), 1.84; 95% confidence interval (CI): 1.11–3.03; p = 0.018), liver diseases (aOR, 4.48; 95% CI: 1.04–19.3; p = 0.044), those with higher ferritin levels (aOR, 1.00; 95% CI: 1.00–1.00; p = 0.006), acute respiratory distress syndrome (ARDS) (aOR, 3.20; 95% CI: 1.65–6.18; p = 0.001), sepsis (aOR, 1.77; 95% CI: 1.12–2.80; p = 0.022), and those that had ICU admission (aOR, 2.22; 95% CI: 1.12–4.38; p = 0.022). CONCLUSION: In this cohort, mortality in hospitalized COVID-19 patients was high and was associated with advanced age, heart diseases, liver disease, high ferritin, ARDS, sepsis and ICU admission. These high-risk groups should be prioritized for COVID-19 vaccinations. The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. 2021-06 2021-04-18 /pmc/articles/PMC8053361/ /pubmed/34022734 http://dx.doi.org/10.1016/j.jiph.2021.03.016 Text en © 2021 The Authors 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 Article
Khamis, Faryal
Memish, Ziad
Bahrani, Maher Al
Dowaiki, Samata Al
Pandak, Nenad
Bolushi, Zakaryia Al
Salmi, Issa Al
Al-Zakwani, Ibrahim
Prevalence and predictors of in-hospital mortality of patients hospitalized with COVID-19 infection
title Prevalence and predictors of in-hospital mortality of patients hospitalized with COVID-19 infection
title_full Prevalence and predictors of in-hospital mortality of patients hospitalized with COVID-19 infection
title_fullStr Prevalence and predictors of in-hospital mortality of patients hospitalized with COVID-19 infection
title_full_unstemmed Prevalence and predictors of in-hospital mortality of patients hospitalized with COVID-19 infection
title_short Prevalence and predictors of in-hospital mortality of patients hospitalized with COVID-19 infection
title_sort prevalence and predictors of in-hospital mortality of patients hospitalized with covid-19 infection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8053361/
https://www.ncbi.nlm.nih.gov/pubmed/34022734
http://dx.doi.org/10.1016/j.jiph.2021.03.016
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