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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
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.
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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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