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Sociodemographic, laboratory, image data and predictors of gravity risk in patients with COVID-19
INTRODUCTION: The effects, severity, and prognosis of COVID-19 infections do not follow a linear pattern in different locations, but change according to the epidemiological data and social issues in each region. AIMS: The purpose of the current study is to provide the clinical and epidemiological st...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8375972/ https://www.ncbi.nlm.nih.gov/pubmed/34411145 http://dx.doi.org/10.1371/journal.pone.0256331 |
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author | Costa, Víctor de Oliveira Nicolini, Eveline Montessi da Costa, Bruna Malaquias Arguelles Ferreira, Victor Hugo Perches Tonisi, Ana Julia Rodrigues Machado, Nathália Munck Moura, Marcos de Assis Montessi, Jorge de Castro Ferreira, Lincoln Eduardo Villela Vieira Campos, Rogério Leal Costa, Patricia Moreira Campos, Maria Antônia |
author_facet | Costa, Víctor de Oliveira Nicolini, Eveline Montessi da Costa, Bruna Malaquias Arguelles Ferreira, Victor Hugo Perches Tonisi, Ana Julia Rodrigues Machado, Nathália Munck Moura, Marcos de Assis Montessi, Jorge de Castro Ferreira, Lincoln Eduardo Villela Vieira Campos, Rogério Leal Costa, Patricia Moreira Campos, Maria Antônia |
author_sort | Costa, Víctor de Oliveira |
collection | PubMed |
description | INTRODUCTION: The effects, severity, and prognosis of COVID-19 infections do not follow a linear pattern in different locations, but change according to the epidemiological data and social issues in each region. AIMS: The purpose of the current study is to provide the clinical and epidemiological standard of the population affected by COVID-19 in the city of Juiz de Fora, MG to better understand the disease and its risk factors, in order to enable more appropriate conduct for patients. METHODS: A retrospective observational study was carried out from March to August of 2020, with 266 participants admitted to the emergency department of the Instituto de Clínicas e Cirurgia de Juiz de Fora—Hospital Monte Sinai. Data were tabulated, analyzed, and classified according to the outcome using an ordinal regression model. RESULTS: Among the 266 admitted patients, the most common findings were ground-glass opacifications on chest CT (78.8%), cough (75.6%), fever (58.4%), and rhinorrhea (34.5%). There were greater severity and greater need for hospitalization and admission to the ICU in patients who were male, tachypneic at the time of admission, with older age, and with underlying diseases. CONCLUSION: Collected data allowed for a better understanding of the disease, its severity criteria, and its pattern of affection in Juiz de Fora, MG. More studies based on the analysis of the behavior of COVID-19 in different regions must be carried out, to improve treatment and support to local populations. |
format | Online Article Text |
id | pubmed-8375972 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-83759722021-08-20 Sociodemographic, laboratory, image data and predictors of gravity risk in patients with COVID-19 Costa, Víctor de Oliveira Nicolini, Eveline Montessi da Costa, Bruna Malaquias Arguelles Ferreira, Victor Hugo Perches Tonisi, Ana Julia Rodrigues Machado, Nathália Munck Moura, Marcos de Assis Montessi, Jorge de Castro Ferreira, Lincoln Eduardo Villela Vieira Campos, Rogério Leal Costa, Patricia Moreira Campos, Maria Antônia PLoS One Research Article INTRODUCTION: The effects, severity, and prognosis of COVID-19 infections do not follow a linear pattern in different locations, but change according to the epidemiological data and social issues in each region. AIMS: The purpose of the current study is to provide the clinical and epidemiological standard of the population affected by COVID-19 in the city of Juiz de Fora, MG to better understand the disease and its risk factors, in order to enable more appropriate conduct for patients. METHODS: A retrospective observational study was carried out from March to August of 2020, with 266 participants admitted to the emergency department of the Instituto de Clínicas e Cirurgia de Juiz de Fora—Hospital Monte Sinai. Data were tabulated, analyzed, and classified according to the outcome using an ordinal regression model. RESULTS: Among the 266 admitted patients, the most common findings were ground-glass opacifications on chest CT (78.8%), cough (75.6%), fever (58.4%), and rhinorrhea (34.5%). There were greater severity and greater need for hospitalization and admission to the ICU in patients who were male, tachypneic at the time of admission, with older age, and with underlying diseases. CONCLUSION: Collected data allowed for a better understanding of the disease, its severity criteria, and its pattern of affection in Juiz de Fora, MG. More studies based on the analysis of the behavior of COVID-19 in different regions must be carried out, to improve treatment and support to local populations. Public Library of Science 2021-08-19 /pmc/articles/PMC8375972/ /pubmed/34411145 http://dx.doi.org/10.1371/journal.pone.0256331 Text en © 2021 Costa et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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 Costa, Víctor de Oliveira Nicolini, Eveline Montessi da Costa, Bruna Malaquias Arguelles Ferreira, Victor Hugo Perches Tonisi, Ana Julia Rodrigues Machado, Nathália Munck Moura, Marcos de Assis Montessi, Jorge de Castro Ferreira, Lincoln Eduardo Villela Vieira Campos, Rogério Leal Costa, Patricia Moreira Campos, Maria Antônia Sociodemographic, laboratory, image data and predictors of gravity risk in patients with COVID-19 |
title | Sociodemographic, laboratory, image data and predictors of gravity risk in patients with COVID-19 |
title_full | Sociodemographic, laboratory, image data and predictors of gravity risk in patients with COVID-19 |
title_fullStr | Sociodemographic, laboratory, image data and predictors of gravity risk in patients with COVID-19 |
title_full_unstemmed | Sociodemographic, laboratory, image data and predictors of gravity risk in patients with COVID-19 |
title_short | Sociodemographic, laboratory, image data and predictors of gravity risk in patients with COVID-19 |
title_sort | sociodemographic, laboratory, image data and predictors of gravity risk in patients with covid-19 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8375972/ https://www.ncbi.nlm.nih.gov/pubmed/34411145 http://dx.doi.org/10.1371/journal.pone.0256331 |
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