The role of health preconditions on COVID-19 deaths in Portugal : evidence from surveillance data of the first 20293 infection cases

Detalhes bibliográficos
Autor(a) principal: Nogueira, Paulo Jorge
Data de Publicação: 2020
Outros Autores: Nobre, Miguel de Araújo, Costa, Andreia, Ribeiro, Ruy M., Furtado, Cristina, Bacelar-Nicolau, Leonor, Camarinha, Catarina, Luís, Márcia, Abrantes, Ricardo Silva Macedo, Carneiro, António Vaz
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/44194
Resumo: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
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spelling The role of health preconditions on COVID-19 deaths in Portugal : evidence from surveillance data of the first 20293 infection casesSARS-CoV-2COVID-19MortalityDemographicsSystemic conditionCardiovascularCancerDiabetesEpidemiologyLogistic regressionArea under the curve© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).Background: It is essential to study the effect of potential co-factors on the risk of death in patients infected by COVID-19. The identification of risk factors is important to allow more efficient public health and health services strategic interventions with a significant impact on deaths by COVID-19. This study aimed to identify factors associated with COVID-19 deaths in Portugal. Methods: A national dataset with the first 20,293 patients infected with COVID-19 between 1 January and 21 April 2020 was analyzed. The primary outcome measure was mortality by COVID-19, measured (registered and confirmed) by Medical Doctors serving as health delegates on the daily death registry. A logistic regression model using a generalized linear model was used for estimating Odds Ratio (OR) with 95% confidence intervals (95% CI) for each potential risk indicator. Results: A total of 502 infected patients died of COVID-19. The risk factors for increased odds of death by COVID-19 were: sex (male: OR = 1.47, ref = female), age ((56–60) years, OR = 6.01; (61–65) years, OR = 10.5; (66–70) years, OR = 20.4; (71–75) years, OR = 34; (76–80) years, OR = 50.9; (81–85) years, OR = 70.7; (86–90) years, OR = 83.2; (91–95) years, OR = 91.8; (96–104) years, OR = 140.2, ref = (0–55)), Cardiac disease (OR = 2.86), Kidney disorder (OR = 2.95), and Neuromuscular disorder (OR = 1.58), while condition (None (absence of precondition); OR = 0.49) was associated with a reduced chance of dying after adjusting for other variables of interest. Conclusions: Besides age and sex, preconditions justify the risk difference in mortality by COVID-19.MDPIRepositório da Universidade de LisboaNogueira, Paulo JorgeNobre, Miguel de AraújoCosta, AndreiaRibeiro, Ruy M.Furtado, CristinaBacelar-Nicolau, LeonorCamarinha, CatarinaLuís, MárciaAbrantes, Ricardo Silva MacedoCarneiro, António Vaz2020-07-29T14:14:39Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/44194engJ. Clin. Med. 2020, 9(8), 236810.3390/jcm90823682077-0383info: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:RCAAP2023-11-08T16:45:05Zoai:repositorio.ul.pt:10451/44194Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:56:50.904886Repositório 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 The role of health preconditions on COVID-19 deaths in Portugal : evidence from surveillance data of the first 20293 infection cases
title The role of health preconditions on COVID-19 deaths in Portugal : evidence from surveillance data of the first 20293 infection cases
spellingShingle The role of health preconditions on COVID-19 deaths in Portugal : evidence from surveillance data of the first 20293 infection cases
Nogueira, Paulo Jorge
SARS-CoV-2
COVID-19
Mortality
Demographics
Systemic condition
Cardiovascular
Cancer
Diabetes
Epidemiology
Logistic regression
Area under the curve
title_short The role of health preconditions on COVID-19 deaths in Portugal : evidence from surveillance data of the first 20293 infection cases
title_full The role of health preconditions on COVID-19 deaths in Portugal : evidence from surveillance data of the first 20293 infection cases
title_fullStr The role of health preconditions on COVID-19 deaths in Portugal : evidence from surveillance data of the first 20293 infection cases
title_full_unstemmed The role of health preconditions on COVID-19 deaths in Portugal : evidence from surveillance data of the first 20293 infection cases
title_sort The role of health preconditions on COVID-19 deaths in Portugal : evidence from surveillance data of the first 20293 infection cases
author Nogueira, Paulo Jorge
author_facet Nogueira, Paulo Jorge
Nobre, Miguel de Araújo
Costa, Andreia
Ribeiro, Ruy M.
Furtado, Cristina
Bacelar-Nicolau, Leonor
Camarinha, Catarina
Luís, Márcia
Abrantes, Ricardo Silva Macedo
Carneiro, António Vaz
author_role author
author2 Nobre, Miguel de Araújo
Costa, Andreia
Ribeiro, Ruy M.
Furtado, Cristina
Bacelar-Nicolau, Leonor
Camarinha, Catarina
Luís, Márcia
Abrantes, Ricardo Silva Macedo
Carneiro, António Vaz
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Nogueira, Paulo Jorge
Nobre, Miguel de Araújo
Costa, Andreia
Ribeiro, Ruy M.
Furtado, Cristina
Bacelar-Nicolau, Leonor
Camarinha, Catarina
Luís, Márcia
Abrantes, Ricardo Silva Macedo
Carneiro, António Vaz
dc.subject.por.fl_str_mv SARS-CoV-2
COVID-19
Mortality
Demographics
Systemic condition
Cardiovascular
Cancer
Diabetes
Epidemiology
Logistic regression
Area under the curve
topic SARS-CoV-2
COVID-19
Mortality
Demographics
Systemic condition
Cardiovascular
Cancer
Diabetes
Epidemiology
Logistic regression
Area under the curve
description © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
publishDate 2020
dc.date.none.fl_str_mv 2020-07-29T14:14:39Z
2020
2020-01-01T00:00:00Z
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/10451/44194
url http://hdl.handle.net/10451/44194
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv J. Clin. Med. 2020, 9(8), 2368
10.3390/jcm9082368
2077-0383
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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