Cargando…
Clinical and hospitalisation predictors of COVID-19 in the first month of the pandemic, Portugal
COVID-19 mainly presents as a respiratory disease with flu‐like symptoms, however, recent findings suggest that non-respiratory symptoms can occur early in the infection and cluster together in different groups in different regions. We collected surveillance data among COVID-19 suspected cases teste...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604361/ https://www.ncbi.nlm.nih.gov/pubmed/34797879 http://dx.doi.org/10.1371/journal.pone.0260249 |
_version_ | 1784601943580082176 |
---|---|
author | Perez Duque, Mariana Saad, Neil J. Lucaccioni, Héloïse Costa, Cristina McMahon, Geroid Machado, Firmino Balasegaram, Sooria Sá Machado, Rita |
author_facet | Perez Duque, Mariana Saad, Neil J. Lucaccioni, Héloïse Costa, Cristina McMahon, Geroid Machado, Firmino Balasegaram, Sooria Sá Machado, Rita |
author_sort | Perez Duque, Mariana |
collection | PubMed |
description | COVID-19 mainly presents as a respiratory disease with flu‐like symptoms, however, recent findings suggest that non-respiratory symptoms can occur early in the infection and cluster together in different groups in different regions. We collected surveillance data among COVID-19 suspected cases tested in mainland Portugal during the first wave of the pandemic, March-April 2020. A multivariable logistic-regression analysis was performed to ascertain the effects of age, sex, prior medical condition and symptoms on the likelihood of testing positive and hospitalisation. Of 25,926 COVID-19 suspected cases included in this study, 5,298 (20%) tested positive. Symptoms were grouped into ten clusters, of which two main ones: one with cough and fever and another with the remainder. There was a higher odds of a positive test with increasing age, myalgia and headache. The odds of being hospitalised increased with age, presence of fever, dyspnoea, or having a prior medical condition although these results varied by region. Presence of cough and other respiratory symptoms did not predict COVID-19 compared to non-COVID respiratory disease patients in any region. Dyspnoea was a strong determinant of hospitalisation, as well as fever and the presence of a prior medical condition, whereas these results varied by region. |
format | Online Article Text |
id | pubmed-8604361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-86043612021-11-20 Clinical and hospitalisation predictors of COVID-19 in the first month of the pandemic, Portugal Perez Duque, Mariana Saad, Neil J. Lucaccioni, Héloïse Costa, Cristina McMahon, Geroid Machado, Firmino Balasegaram, Sooria Sá Machado, Rita PLoS One Research Article COVID-19 mainly presents as a respiratory disease with flu‐like symptoms, however, recent findings suggest that non-respiratory symptoms can occur early in the infection and cluster together in different groups in different regions. We collected surveillance data among COVID-19 suspected cases tested in mainland Portugal during the first wave of the pandemic, March-April 2020. A multivariable logistic-regression analysis was performed to ascertain the effects of age, sex, prior medical condition and symptoms on the likelihood of testing positive and hospitalisation. Of 25,926 COVID-19 suspected cases included in this study, 5,298 (20%) tested positive. Symptoms were grouped into ten clusters, of which two main ones: one with cough and fever and another with the remainder. There was a higher odds of a positive test with increasing age, myalgia and headache. The odds of being hospitalised increased with age, presence of fever, dyspnoea, or having a prior medical condition although these results varied by region. Presence of cough and other respiratory symptoms did not predict COVID-19 compared to non-COVID respiratory disease patients in any region. Dyspnoea was a strong determinant of hospitalisation, as well as fever and the presence of a prior medical condition, whereas these results varied by region. Public Library of Science 2021-11-19 /pmc/articles/PMC8604361/ /pubmed/34797879 http://dx.doi.org/10.1371/journal.pone.0260249 Text en © 2021 Perez Duque 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 Perez Duque, Mariana Saad, Neil J. Lucaccioni, Héloïse Costa, Cristina McMahon, Geroid Machado, Firmino Balasegaram, Sooria Sá Machado, Rita Clinical and hospitalisation predictors of COVID-19 in the first month of the pandemic, Portugal |
title | Clinical and hospitalisation predictors of COVID-19 in the first month of the pandemic, Portugal |
title_full | Clinical and hospitalisation predictors of COVID-19 in the first month of the pandemic, Portugal |
title_fullStr | Clinical and hospitalisation predictors of COVID-19 in the first month of the pandemic, Portugal |
title_full_unstemmed | Clinical and hospitalisation predictors of COVID-19 in the first month of the pandemic, Portugal |
title_short | Clinical and hospitalisation predictors of COVID-19 in the first month of the pandemic, Portugal |
title_sort | clinical and hospitalisation predictors of covid-19 in the first month of the pandemic, portugal |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604361/ https://www.ncbi.nlm.nih.gov/pubmed/34797879 http://dx.doi.org/10.1371/journal.pone.0260249 |
work_keys_str_mv | AT perezduquemariana clinicalandhospitalisationpredictorsofcovid19inthefirstmonthofthepandemicportugal AT saadneilj clinicalandhospitalisationpredictorsofcovid19inthefirstmonthofthepandemicportugal AT lucaccioniheloise clinicalandhospitalisationpredictorsofcovid19inthefirstmonthofthepandemicportugal AT costacristina clinicalandhospitalisationpredictorsofcovid19inthefirstmonthofthepandemicportugal AT mcmahongeroid clinicalandhospitalisationpredictorsofcovid19inthefirstmonthofthepandemicportugal AT machadofirmino clinicalandhospitalisationpredictorsofcovid19inthefirstmonthofthepandemicportugal AT balasegaramsooria clinicalandhospitalisationpredictorsofcovid19inthefirstmonthofthepandemicportugal AT samachadorita clinicalandhospitalisationpredictorsofcovid19inthefirstmonthofthepandemicportugal |