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Correlation between hospitalized patients’ demographics, symptoms, comorbidities, and COVID-19 pandemic in Bahia, Brazil
In this paper, we provide a retrospective cohort study with patients that have been hospitalized for general or intensive care unit admission due to COVID-19, between March 3 and July 29, 2020, in the state of Bahia, Brazil. We aim to correlate those patients’ demographics, symptoms and comorbiditie...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7735911/ https://www.ncbi.nlm.nih.gov/pubmed/33318711 http://dx.doi.org/10.1371/journal.pone.0243966 |
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author | Macedo, Márcio C. F. Pinheiro, Isabelle M. Carvalho, Caio J. L. Fraga, Hilda C. J. R. Araujo, Isaac P. C. Montes, Simone S. Araujo, Otávio A. C. Alves, Lucas A. Saba, Hugo Araújo, Márcio L. V. Queiroz, Ivonete T. L. Sampaio, Romilson L. Souza, Márcia S. P. L. da Silva, Ana Claudia F. N. Souza, Antonio C. S. |
author_facet | Macedo, Márcio C. F. Pinheiro, Isabelle M. Carvalho, Caio J. L. Fraga, Hilda C. J. R. Araujo, Isaac P. C. Montes, Simone S. Araujo, Otávio A. C. Alves, Lucas A. Saba, Hugo Araújo, Márcio L. V. Queiroz, Ivonete T. L. Sampaio, Romilson L. Souza, Márcia S. P. L. da Silva, Ana Claudia F. N. Souza, Antonio C. S. |
author_sort | Macedo, Márcio C. F. |
collection | PubMed |
description | In this paper, we provide a retrospective cohort study with patients that have been hospitalized for general or intensive care unit admission due to COVID-19, between March 3 and July 29, 2020, in the state of Bahia, Brazil. We aim to correlate those patients’ demographics, symptoms and comorbidities, with the risk of mortality from COVID-19, length of hospital stay, and time from diagnosis to definitive outcome. On the basis of a dataset provided by the Health Secretary of the State of Bahia, we selected 3,896 hospitalized patients from a total of 154,868 COVID-19 patients that included non-hospitalized patients and patients with invalid registration in the dataset. Then, we statistically analyzed whether there was a significant correlation between the patient record data and the COVID-19 pandemic, and our main findings reinforced by the use of a multivariable logistic regression were that older age (Odds Ratio [OR] = 1.03, 95% Confidence Interval [CI] = 1.03-1.04, p-value (p) <0.001), an initial symptom of shortness of breath (OR = 1.88, 95% CI = 1.60-2.20, p < 0.001), and the presence of comorbidities, mainly chronic kidney disease (OR = 2.41, 95% CI = 1.67-3.48, p < 0.001) are related to an increased risk of mortality from COVID-19. On the other hand, sore throat (OR = 0.74, 95% CI = 0.58-0.95, p = 0.02) and length of hospital stay (OR = 0.96, 95% CI = 0.58-0.95, p < 0.001) are more related to a reduced risk of mortality from COVID-19. Moreover, a multivariable linear regression conducted with statistically significant variables (p < 0.05) showed that age (OR = 0.97, 95% CI = 0.95-0.98, p < 0.001) and time from diagnosis to definitive outcome (OR = 1.67, 95% CI = 1.64-1.71, p < 0.001) are associated with the length of hospital stay. |
format | Online Article Text |
id | pubmed-7735911 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-77359112020-12-22 Correlation between hospitalized patients’ demographics, symptoms, comorbidities, and COVID-19 pandemic in Bahia, Brazil Macedo, Márcio C. F. Pinheiro, Isabelle M. Carvalho, Caio J. L. Fraga, Hilda C. J. R. Araujo, Isaac P. C. Montes, Simone S. Araujo, Otávio A. C. Alves, Lucas A. Saba, Hugo Araújo, Márcio L. V. Queiroz, Ivonete T. L. Sampaio, Romilson L. Souza, Márcia S. P. L. da Silva, Ana Claudia F. N. Souza, Antonio C. S. PLoS One Research Article In this paper, we provide a retrospective cohort study with patients that have been hospitalized for general or intensive care unit admission due to COVID-19, between March 3 and July 29, 2020, in the state of Bahia, Brazil. We aim to correlate those patients’ demographics, symptoms and comorbidities, with the risk of mortality from COVID-19, length of hospital stay, and time from diagnosis to definitive outcome. On the basis of a dataset provided by the Health Secretary of the State of Bahia, we selected 3,896 hospitalized patients from a total of 154,868 COVID-19 patients that included non-hospitalized patients and patients with invalid registration in the dataset. Then, we statistically analyzed whether there was a significant correlation between the patient record data and the COVID-19 pandemic, and our main findings reinforced by the use of a multivariable logistic regression were that older age (Odds Ratio [OR] = 1.03, 95% Confidence Interval [CI] = 1.03-1.04, p-value (p) <0.001), an initial symptom of shortness of breath (OR = 1.88, 95% CI = 1.60-2.20, p < 0.001), and the presence of comorbidities, mainly chronic kidney disease (OR = 2.41, 95% CI = 1.67-3.48, p < 0.001) are related to an increased risk of mortality from COVID-19. On the other hand, sore throat (OR = 0.74, 95% CI = 0.58-0.95, p = 0.02) and length of hospital stay (OR = 0.96, 95% CI = 0.58-0.95, p < 0.001) are more related to a reduced risk of mortality from COVID-19. Moreover, a multivariable linear regression conducted with statistically significant variables (p < 0.05) showed that age (OR = 0.97, 95% CI = 0.95-0.98, p < 0.001) and time from diagnosis to definitive outcome (OR = 1.67, 95% CI = 1.64-1.71, p < 0.001) are associated with the length of hospital stay. Public Library of Science 2020-12-14 /pmc/articles/PMC7735911/ /pubmed/33318711 http://dx.doi.org/10.1371/journal.pone.0243966 Text en © 2020 Macedo 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 Macedo, Márcio C. F. Pinheiro, Isabelle M. Carvalho, Caio J. L. Fraga, Hilda C. J. R. Araujo, Isaac P. C. Montes, Simone S. Araujo, Otávio A. C. Alves, Lucas A. Saba, Hugo Araújo, Márcio L. V. Queiroz, Ivonete T. L. Sampaio, Romilson L. Souza, Márcia S. P. L. da Silva, Ana Claudia F. N. Souza, Antonio C. S. Correlation between hospitalized patients’ demographics, symptoms, comorbidities, and COVID-19 pandemic in Bahia, Brazil |
title | Correlation between hospitalized patients’ demographics, symptoms, comorbidities, and COVID-19 pandemic in Bahia, Brazil |
title_full | Correlation between hospitalized patients’ demographics, symptoms, comorbidities, and COVID-19 pandemic in Bahia, Brazil |
title_fullStr | Correlation between hospitalized patients’ demographics, symptoms, comorbidities, and COVID-19 pandemic in Bahia, Brazil |
title_full_unstemmed | Correlation between hospitalized patients’ demographics, symptoms, comorbidities, and COVID-19 pandemic in Bahia, Brazil |
title_short | Correlation between hospitalized patients’ demographics, symptoms, comorbidities, and COVID-19 pandemic in Bahia, Brazil |
title_sort | correlation between hospitalized patients’ demographics, symptoms, comorbidities, and covid-19 pandemic in bahia, brazil |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7735911/ https://www.ncbi.nlm.nih.gov/pubmed/33318711 http://dx.doi.org/10.1371/journal.pone.0243966 |
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