Risk factors associated with COVID-19-induced death in patients hospitalized in intensive care units (ICUs) in a city in Southern Brazil

Objectives: The aim of this research was to address risk factors associated with death after hospitalization in intensive care units (ICUs) in 728 COVID-19 patients in Londrina, the second most populated city in the State of Paraná – Brazil, between March and December 2020. Methods: Statistical anal...

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Main Authors: André S. Olak, Aline M. Susuki, Milena Kanashiro, Monica M.B. Paoliello, Michael Aschner, Mariana R. Urbano
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Toxicology Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214750021001475
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spelling doaj-e744a391db5c4f84bef2e003b7b912202021-08-16T04:16:42ZengElsevierToxicology Reports2214-75002021-01-01815651568Risk factors associated with COVID-19-induced death in patients hospitalized in intensive care units (ICUs) in a city in Southern BrazilAndré S. Olak0Aline M. Susuki1Milena Kanashiro2Monica M.B. Paoliello3Michael Aschner4Mariana R. Urbano5Department of Statistics, State University of Londrina (UEL), Londrina, PR, Brazil; Department of Architecture and Urbanism, State University of Londrina (UEL), Londrina, PR, BrazilDepartment of Architecture and Urbanism, State University of Londrina (UEL), Londrina, PR, BrazilDepartment of Architecture and Urbanism, State University of Londrina (UEL), Londrina, PR, BrazilDepartment of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY, USADepartment of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY, USADepartment of Statistics, State University of Londrina (UEL), Londrina, PR, Brazil; Department of Architecture and Urbanism, State University of Londrina (UEL), Londrina, PR, Brazil; Corresponding author at: Department of Statistics, State University of Londrina (UEL), Rodovia Celso Garcia Cid, PR 445 KM 380, Londrina, CEP 86057-970, Brazil.Objectives: The aim of this research was to address risk factors associated with death after hospitalization in intensive care units (ICUs) in 728 COVID-19 patients in Londrina, the second most populated city in the State of Paraná – Brazil, between March and December 2020. Methods: Statistical analysis, including multiple logistic regression was performed to identify risk factors associated with death in these patients. Results: The results showed that age (60 years or more, O.R. = 3.13, C.I. 95% [2.02; 4.84]), days in the ICU (11 days or more, O.R. = 1.76, C.I. 95% [1.16; 2.66]), neurological diseases (O.R. = 2.15, C.I. 95% [1.07; 4.31]), pneumopathy (O.R = 2.19, C.I. 95% [1.01; 4.82]), diabetes (O.R. = 1.55, C.I. 95% [1.03; 2.32]), and kidney disease (O.R. = 2.27, C.I. 95% [1.18; 4.70]) were associated with increased risk for death from COVID-19. Conclusion: Knowing the risk factors associated with death after ICUs hospitalization is useful for identifying the most vulnerable groups, as well as for defining vaccination priorities, considering its scarcity in many parts of the world, mainly in underdeveloped countries, including Brazil.http://www.sciencedirect.com/science/article/pii/S2214750021001475COVID-19PandemicRisk factorsStatistical analysis
collection DOAJ
language English
format Article
sources DOAJ
author André S. Olak
Aline M. Susuki
Milena Kanashiro
Monica M.B. Paoliello
Michael Aschner
Mariana R. Urbano
spellingShingle André S. Olak
Aline M. Susuki
Milena Kanashiro
Monica M.B. Paoliello
Michael Aschner
Mariana R. Urbano
Risk factors associated with COVID-19-induced death in patients hospitalized in intensive care units (ICUs) in a city in Southern Brazil
Toxicology Reports
COVID-19
Pandemic
Risk factors
Statistical analysis
author_facet André S. Olak
Aline M. Susuki
Milena Kanashiro
Monica M.B. Paoliello
Michael Aschner
Mariana R. Urbano
author_sort André S. Olak
title Risk factors associated with COVID-19-induced death in patients hospitalized in intensive care units (ICUs) in a city in Southern Brazil
title_short Risk factors associated with COVID-19-induced death in patients hospitalized in intensive care units (ICUs) in a city in Southern Brazil
title_full Risk factors associated with COVID-19-induced death in patients hospitalized in intensive care units (ICUs) in a city in Southern Brazil
title_fullStr Risk factors associated with COVID-19-induced death in patients hospitalized in intensive care units (ICUs) in a city in Southern Brazil
title_full_unstemmed Risk factors associated with COVID-19-induced death in patients hospitalized in intensive care units (ICUs) in a city in Southern Brazil
title_sort risk factors associated with covid-19-induced death in patients hospitalized in intensive care units (icus) in a city in southern brazil
publisher Elsevier
series Toxicology Reports
issn 2214-7500
publishDate 2021-01-01
description Objectives: The aim of this research was to address risk factors associated with death after hospitalization in intensive care units (ICUs) in 728 COVID-19 patients in Londrina, the second most populated city in the State of Paraná – Brazil, between March and December 2020. Methods: Statistical analysis, including multiple logistic regression was performed to identify risk factors associated with death in these patients. Results: The results showed that age (60 years or more, O.R. = 3.13, C.I. 95% [2.02; 4.84]), days in the ICU (11 days or more, O.R. = 1.76, C.I. 95% [1.16; 2.66]), neurological diseases (O.R. = 2.15, C.I. 95% [1.07; 4.31]), pneumopathy (O.R = 2.19, C.I. 95% [1.01; 4.82]), diabetes (O.R. = 1.55, C.I. 95% [1.03; 2.32]), and kidney disease (O.R. = 2.27, C.I. 95% [1.18; 4.70]) were associated with increased risk for death from COVID-19. Conclusion: Knowing the risk factors associated with death after ICUs hospitalization is useful for identifying the most vulnerable groups, as well as for defining vaccination priorities, considering its scarcity in many parts of the world, mainly in underdeveloped countries, including Brazil.
topic COVID-19
Pandemic
Risk factors
Statistical analysis
url http://www.sciencedirect.com/science/article/pii/S2214750021001475
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