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

BACKGROUND: 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...

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Autores principales: de Souza, Fernanda Sumika Hojo, Hojo-Souza, Natália Satchiko, Batista, Ben Dêivide de Oliveira, da Silva, Cristiano Maciel, Guidoni, Daniel Ludovico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971705/
https://www.ncbi.nlm.nih.gov/pubmed/33735272
http://dx.doi.org/10.1371/journal.pone.0248580
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author de Souza, Fernanda Sumika Hojo
Hojo-Souza, Natália Satchiko
Batista, Ben Dêivide de Oliveira
da Silva, Cristiano Maciel
Guidoni, Daniel Ludovico
author_facet de Souza, Fernanda Sumika Hojo
Hojo-Souza, Natália Satchiko
Batista, Ben Dêivide de Oliveira
da Silva, Cristiano Maciel
Guidoni, Daniel Ludovico
author_sort de Souza, Fernanda Sumika Hojo
collection PubMed
description BACKGROUND: 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.
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spelling pubmed-79717052021-03-31 On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database de Souza, Fernanda Sumika Hojo Hojo-Souza, Natália Satchiko Batista, Ben Dêivide de Oliveira da Silva, Cristiano Maciel Guidoni, Daniel Ludovico PLoS One Research Article BACKGROUND: 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. Public Library of Science 2021-03-18 /pmc/articles/PMC7971705/ /pubmed/33735272 http://dx.doi.org/10.1371/journal.pone.0248580 Text en © 2021 de Souza et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
de Souza, Fernanda Sumika Hojo
Hojo-Souza, Natália Satchiko
Batista, Ben Dêivide de Oliveira
da Silva, Cristiano Maciel
Guidoni, Daniel Ludovico
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
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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971705/
https://www.ncbi.nlm.nih.gov/pubmed/33735272
http://dx.doi.org/10.1371/journal.pone.0248580
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