On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database

Bibliographic Details
Main Author: Souza, Fernanda Sumika Hojo de
Publication Date: 2021
Other Authors: Souza, Natália Satchiko Hojo de, Batista, Ben Dêivide de Oliveira, Silva, Cristiano Maciel da, Guidoni, Daniel Ludovico
Format: Article
Language: eng
Source: Repositório Institucional da FIOCRUZ (ARCA)
Download full: https://www.arca.fiocruz.br/handle/icict/51345
Summary: Department of Computer Science. Federal University of São João del-Rei. Sao Joao del-Rei, MG, Brazil
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spelling Souza, Fernanda Sumika Hojo deSouza, Natália Satchiko Hojo deBatista, Ben Dêivide de OliveiraSilva, Cristiano Maciel daGuidoni, Daniel Ludovico2022-02-21T17:54:10Z2022-02-21T17:54:10Z2021SOUZA, Fernanda Sumika Hojo de et al. On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database. PLoS ONE, v. 16, n. 3, e0248580. doi.org/10.1371/journal.pone.02485801932-6203https://www.arca.fiocruz.br/handle/icict/51345doi.org/10.1371/journal.pone.0248580engPublic Library of ScienceOn the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian databaseinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleDepartment of Computer Science. Federal University of São João del-Rei. Sao Joao del-Rei, MG, BrazilLaboratory of Immunopathology. Rene Rachou Institute. Oswaldo Cruz Foundation. Belo Horizonte, MG, BrazilDepartment of Statistics, Physics and Mathematics.Federal University of São João del-Rei. Sao Joao del-Rei, MG, BrazilDepartment of Technology. Federal University of São João del-Rei. Sao Joao del-Rei, MG, BrazilDepartment of Computer Science. Federal University of São João del-Rei. Sao Joao del-Rei, MG, BrazilBackground: Brazil became the epicenter of the COVID-19 epidemic in a brief period of a few months after the first officially registered case. The knowledge of the epidemiological/clinical profile and the risk factors of Brazilian COVID-19 patients can assist in the decision making of physicians in the implementation of early and most appropriate measures for poor prognosis patients. However, these reports are missing. Here we present a comprehensive study that addresses this demand. Methods: This data-driven study was based on the Brazilian Ministry of Health Database (SIVEP-Gripe) regarding notified cases of hospitalized COVID-19 patients during the period from February 26th to August 10th, 2020. Demographic data, clinical symptoms, comorbidities and other additional information of patients were analyzed. Results: The hospitalization rate was higher for male gender (56.56%) and for older age patients of both sexes. Overall, the lethality rate was quite high (41.28%) among hospitalized patients, especially those over 60 years of age. Most prevalent symptoms were cough, dyspnoea, fever, low oxygen saturation and respiratory distress. Cardiac disease, diabetes, obesity, kidney disease, neurological disease, and pneumopathy were the most prevalent comorbidities. A high prevalence of hospitalized COVID-19 patients with cardiac disease (65.7%) and diabetes (53.55%) and with a high lethality rate of around 50% was observed. The intensive care unit (ICU) admission rate was 39.37% and of these 62.4% died. 24.4% of patients required invasive mechanical ventilation (IMV), with high mortality among them (82.98%). The main mortality risk predictors were older age and IMV requirement. In addition, socioeconomic conditions have been shown to significantly influence the disease outcome, regardless of age and comorbidities. Conclusion: Our study provides a comprehensive overview of the hospitalized Brazilian COVID-19 patients profile and the mortality risk factors. The analysis also evidenced that the disease outcome is influenced by multiple factors, as unequally affects different segments of population.info:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-83082https://www.arca.fiocruz.br/bitstream/icict/51345/1/license.txt9193a7c197bc67acd023525e72a03240MD51ORIGINALOn the analysis of mortality risk factors.pdfOn the analysis of mortality risk factors.pdfapplication/pdf6826766https://www.arca.fiocruz.br/bitstream/icict/51345/2/On%20the%20analysis%20of%20mortality%20risk%20factors.pdf3be5c7f8b4c689d0ef9d813706c14e38MD52icict/513452022-02-21 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dc.title.pt_BR.fl_str_mv On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database
title On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database
spellingShingle On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database
Souza, Fernanda Sumika Hojo de
title_short On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database
title_full On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database
title_fullStr On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database
title_full_unstemmed On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database
title_sort On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database
author Souza, Fernanda Sumika Hojo de
author_facet Souza, Fernanda Sumika Hojo de
Souza, Natália Satchiko Hojo de
Batista, Ben Dêivide de Oliveira
Silva, Cristiano Maciel da
Guidoni, Daniel Ludovico
author_role author
author2 Souza, Natália Satchiko Hojo de
Batista, Ben Dêivide de Oliveira
Silva, Cristiano Maciel da
Guidoni, Daniel Ludovico
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Souza, Fernanda Sumika Hojo de
Souza, Natália Satchiko Hojo de
Batista, Ben Dêivide de Oliveira
Silva, Cristiano Maciel da
Guidoni, Daniel Ludovico
description Department of Computer Science. Federal University of São João del-Rei. Sao Joao del-Rei, MG, Brazil
publishDate 2021
dc.date.issued.fl_str_mv 2021
dc.date.accessioned.fl_str_mv 2022-02-21T17:54:10Z
dc.date.available.fl_str_mv 2022-02-21T17:54:10Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv SOUZA, Fernanda Sumika Hojo de et al. On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database. PLoS ONE, v. 16, n. 3, e0248580. doi.org/10.1371/journal.pone.0248580
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/51345
dc.identifier.issn.pt_BR.fl_str_mv 1932-6203
dc.identifier.doi.none.fl_str_mv doi.org/10.1371/journal.pone.0248580
identifier_str_mv SOUZA, Fernanda Sumika Hojo de et al. On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database. PLoS ONE, v. 16, n. 3, e0248580. doi.org/10.1371/journal.pone.0248580
1932-6203
doi.org/10.1371/journal.pone.0248580
url https://www.arca.fiocruz.br/handle/icict/51345
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
institution FIOCRUZ
reponame_str Repositório Institucional da FIOCRUZ (ARCA)
collection Repositório Institucional da FIOCRUZ (ARCA)
bitstream.url.fl_str_mv https://www.arca.fiocruz.br/bitstream/icict/51345/1/license.txt
https://www.arca.fiocruz.br/bitstream/icict/51345/2/On%20the%20analysis%20of%20mortality%20risk%20factors.pdf
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repository.name.fl_str_mv Repositório Institucional da FIOCRUZ (ARCA) - Fundação Oswaldo Cruz (FIOCRUZ)
repository.mail.fl_str_mv repositorio.arca@fiocruz.br
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