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Clinical and hospitalisation predictors of COVID-19 in the first month of the pandemic, Portugal
| Resumo: | 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. |
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| País: | Portugal |
| Tipo de documento: | journal article |
| Tipo de acesso: | Aberto |
| Instituição associada: | Repositório Aberto da Universidade do Porto |
| Idioma: | inglês |
| Origem: | Repositório Aberto da Universidade do Porto |
| _version_ | 1850560640259719168 |
|---|---|
| conditionsOfAccess_str | open access |
| country_str | PT |
| 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. |
| documentTypeURL_str | http://purl.org/coar/resource_type/c_6501 |
| documentType_str | journal article |
| id | 33c78367-0b35-49e2-b443-b856877d18f6 |
| identifierHandle_str | https://hdl.handle.net/10216/149494 |
| language | eng |
| relatedInstitutions_str_mv | Repositório Aberto da Universidade do Porto |
| resourceName_str | Repositório Aberto da Universidade do Porto |
| spellingShingle | 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 |