Characterization of the epidemiological curve of the 1st wave of the pandemic: study of the determinants for death and hospitalization due to COVID-19 in Portugal

Detalhes bibliográficos
Autor(a) principal: Freire, Francisca Monteiro
Data de Publicação: 2021
Outros Autores: Afreixo, Vera, Sá Couto, Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/32788
Resumo: COVID-19 is an infectious disease caused by the SARS-CoV-2 virus that emerged in China and has since spread rapidly to all countries in the world. The aim of this study is to characterize the peak of the first wave of the pandemic in Portugal using some demographic and clinical determinants. The database studied contains epidemiological surveillance data of COVID-19 from Portugal until June 30, 2020. The peak of the pandemic was determined considering the number of diagnoses, deaths, and hospitalizations over time, and the estimated period for the first wave was between March 19 and April 24. Multivariable logistic regression models were performed to estimate the Odds Ratio (OR) and the respective 95% confidence intervals (95% CI) for this period and for each of the variables considered in relation to both study outcomes: mortality (5.8%) and hospitalization (18.8%). The main risk factors considered for the mortality outcome were: Age Group (≥ 80 years: OR = 11.98; 65-79 years: OR = 4.06; reference group: <64 years), Hospitalization (OR = 6.48) and Comorbidities (OR = 5.74). For the outcome hospitalization, the main risk factors were: Age Group (≥ 80 years: OR = 8.54; 65-79 years: OR = 3.90; reference group: <64 years), male gender (OR= 1.58) and Comorbidities (OR = 5.19). The proposed models presented high area under the curve (AUC) results (mortality: AUC=91.1%; and hospitalization: AUC=84.5%), with small amplitudes in the 95% CI. The present study demonstrated that, overall, the major risk factors associated with worse prognostics of COVID-19 were advanced age (over 65 years), and the existence of comorbidities. For the risk of hospitalizations, the male gender was also a significant risk factor.
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spelling Characterization of the epidemiological curve of the 1st wave of the pandemic: study of the determinants for death and hospitalization due to COVID-19 in PortugalCOVID-19PortugalMortality, Hospitalization, Comorbidities.Logistic regressionDemographic factorsCOVID-19 is an infectious disease caused by the SARS-CoV-2 virus that emerged in China and has since spread rapidly to all countries in the world. The aim of this study is to characterize the peak of the first wave of the pandemic in Portugal using some demographic and clinical determinants. The database studied contains epidemiological surveillance data of COVID-19 from Portugal until June 30, 2020. The peak of the pandemic was determined considering the number of diagnoses, deaths, and hospitalizations over time, and the estimated period for the first wave was between March 19 and April 24. Multivariable logistic regression models were performed to estimate the Odds Ratio (OR) and the respective 95% confidence intervals (95% CI) for this period and for each of the variables considered in relation to both study outcomes: mortality (5.8%) and hospitalization (18.8%). The main risk factors considered for the mortality outcome were: Age Group (≥ 80 years: OR = 11.98; 65-79 years: OR = 4.06; reference group: <64 years), Hospitalization (OR = 6.48) and Comorbidities (OR = 5.74). For the outcome hospitalization, the main risk factors were: Age Group (≥ 80 years: OR = 8.54; 65-79 years: OR = 3.90; reference group: <64 years), male gender (OR= 1.58) and Comorbidities (OR = 5.19). The proposed models presented high area under the curve (AUC) results (mortality: AUC=91.1%; and hospitalization: AUC=84.5%), with small amplitudes in the 95% CI. The present study demonstrated that, overall, the major risk factors associated with worse prognostics of COVID-19 were advanced age (over 65 years), and the existence of comorbidities. For the risk of hospitalizations, the male gender was also a significant risk factor.UA/CHBV2021-12-23T12:19:10Z2021-12-14T00:00:00Z2021-12-14info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/32788eng2184-579410.34624/jshd.v3i2.24208Freire, Francisca MonteiroAfreixo, VeraSá Couto, Pedroinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:03:02Zoai:ria.ua.pt:10773/32788Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:04:19.015882Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Characterization of the epidemiological curve of the 1st wave of the pandemic: study of the determinants for death and hospitalization due to COVID-19 in Portugal
title Characterization of the epidemiological curve of the 1st wave of the pandemic: study of the determinants for death and hospitalization due to COVID-19 in Portugal
spellingShingle Characterization of the epidemiological curve of the 1st wave of the pandemic: study of the determinants for death and hospitalization due to COVID-19 in Portugal
Freire, Francisca Monteiro
COVID-19
Portugal
Mortality, Hospitalization, Comorbidities.
Logistic regression
Demographic factors
title_short Characterization of the epidemiological curve of the 1st wave of the pandemic: study of the determinants for death and hospitalization due to COVID-19 in Portugal
title_full Characterization of the epidemiological curve of the 1st wave of the pandemic: study of the determinants for death and hospitalization due to COVID-19 in Portugal
title_fullStr Characterization of the epidemiological curve of the 1st wave of the pandemic: study of the determinants for death and hospitalization due to COVID-19 in Portugal
title_full_unstemmed Characterization of the epidemiological curve of the 1st wave of the pandemic: study of the determinants for death and hospitalization due to COVID-19 in Portugal
title_sort Characterization of the epidemiological curve of the 1st wave of the pandemic: study of the determinants for death and hospitalization due to COVID-19 in Portugal
author Freire, Francisca Monteiro
author_facet Freire, Francisca Monteiro
Afreixo, Vera
Sá Couto, Pedro
author_role author
author2 Afreixo, Vera
Sá Couto, Pedro
author2_role author
author
dc.contributor.author.fl_str_mv Freire, Francisca Monteiro
Afreixo, Vera
Sá Couto, Pedro
dc.subject.por.fl_str_mv COVID-19
Portugal
Mortality, Hospitalization, Comorbidities.
Logistic regression
Demographic factors
topic COVID-19
Portugal
Mortality, Hospitalization, Comorbidities.
Logistic regression
Demographic factors
description COVID-19 is an infectious disease caused by the SARS-CoV-2 virus that emerged in China and has since spread rapidly to all countries in the world. The aim of this study is to characterize the peak of the first wave of the pandemic in Portugal using some demographic and clinical determinants. The database studied contains epidemiological surveillance data of COVID-19 from Portugal until June 30, 2020. The peak of the pandemic was determined considering the number of diagnoses, deaths, and hospitalizations over time, and the estimated period for the first wave was between March 19 and April 24. Multivariable logistic regression models were performed to estimate the Odds Ratio (OR) and the respective 95% confidence intervals (95% CI) for this period and for each of the variables considered in relation to both study outcomes: mortality (5.8%) and hospitalization (18.8%). The main risk factors considered for the mortality outcome were: Age Group (≥ 80 years: OR = 11.98; 65-79 years: OR = 4.06; reference group: <64 years), Hospitalization (OR = 6.48) and Comorbidities (OR = 5.74). For the outcome hospitalization, the main risk factors were: Age Group (≥ 80 years: OR = 8.54; 65-79 years: OR = 3.90; reference group: <64 years), male gender (OR= 1.58) and Comorbidities (OR = 5.19). The proposed models presented high area under the curve (AUC) results (mortality: AUC=91.1%; and hospitalization: AUC=84.5%), with small amplitudes in the 95% CI. The present study demonstrated that, overall, the major risk factors associated with worse prognostics of COVID-19 were advanced age (over 65 years), and the existence of comorbidities. For the risk of hospitalizations, the male gender was also a significant risk factor.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-23T12:19:10Z
2021-12-14T00:00:00Z
2021-12-14
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/32788
url http://hdl.handle.net/10773/32788
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2184-5794
10.34624/jshd.v3i2.24208
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publisher.none.fl_str_mv UA/CHBV
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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