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...
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oai:doaj.org-article:db8edb34268340b8a8aaf8935ea750d72021-11-25T06:19:27ZClinical and hospitalisation predictors of COVID-19 in the first month of the pandemic, Portugal1932-6203https://doaj.org/article/db8edb34268340b8a8aaf8935ea750d72021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604361/?tool=EBIhttps://doaj.org/toc/1932-6203COVID-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.Mariana Perez DuqueNeil J. SaadHéloïse LucaccioniCristina CostaGeroid McMahonFirmino MachadoSooria BalasegaramRita Sá MachadoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021) |
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Medicine R Science Q Mariana Perez Duque Neil J. Saad Héloïse Lucaccioni Cristina Costa Geroid McMahon Firmino Machado Sooria Balasegaram Rita Sá Machado Clinical and hospitalisation predictors of COVID-19 in the first month of the pandemic, Portugal |
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 |
article |
author |
Mariana Perez Duque Neil J. Saad Héloïse Lucaccioni Cristina Costa Geroid McMahon Firmino Machado Sooria Balasegaram Rita Sá Machado |
author_facet |
Mariana Perez Duque Neil J. Saad Héloïse Lucaccioni Cristina Costa Geroid McMahon Firmino Machado Sooria Balasegaram Rita Sá Machado |
author_sort |
Mariana Perez Duque |
title |
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_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_sort |
clinical and hospitalisation predictors of covid-19 in the first month of the pandemic, portugal |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doaj.org/article/db8edb34268340b8a8aaf8935ea750d7 |
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