Publication
The role of health preconditions on COVID-19 deaths in Portugal: evidence from surveillance data of the first 20293 infection cases
dc.contributor.author | Nogueira, Paulo Jorge | |
dc.contributor.author | Nobre, Miguel de Araújo | |
dc.contributor.author | Costa, Andreia | |
dc.contributor.author | Ribeiro, Ruy M. | |
dc.contributor.author | Furtado, Cristina | |
dc.contributor.author | Nicolau, Leonor Bacelar | |
dc.contributor.author | Camarinha, Catarina | |
dc.contributor.author | Luís, Márcia | |
dc.contributor.author | Abrantes, Ricardo | |
dc.contributor.author | Carneiro, António Vaz | |
dc.date.accessioned | 2021-03-17T17:29:56Z | |
dc.date.available | 2021-03-17T17:29:56Z | |
dc.date.issued | 2020-08 | |
dc.description.abstract | 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. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.doi | 10.3390/jcm9082368 | pt_PT |
dc.identifier.eid | 85097273865 | |
dc.identifier.issn | 2077-0383 | |
dc.identifier.pmc | PMC7464004 | |
dc.identifier.pmid | 32722159 | |
dc.identifier.uri | http://hdl.handle.net/10400.14/32253 | |
dc.identifier.wos | 000567321900001 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | COVID-19 | pt_PT |
dc.subject | Mortality | pt_PT |
dc.subject | Demographics | pt_PT |
dc.subject | Systemic condition | pt_PT |
dc.subject | Cardiovascular | pt_PT |
dc.subject | Cancer | pt_PT |
dc.subject | Diabetes | pt_PT |
dc.subject | Epidemiology | pt_PT |
dc.subject | Logistic regression | pt_PT |
dc.subject | Area under the curve | pt_PT |
dc.title | The role of health preconditions on COVID-19 deaths in Portugal: evidence from surveillance data of the first 20293 infection cases | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.title | Journal of Clinical Medicine | pt_PT |
oaire.citation.volume | 9 | pt_PT |
person.familyName | Nogueira | |
person.familyName | de Araújo Nobre | |
person.familyName | Costa | |
person.familyName | Bacelar-Nicolau | |
person.familyName | Macedo Abrantes | |
person.givenName | Paulo Jorge | |
person.givenName | Miguel | |
person.givenName | Andreia | |
person.givenName | Leonor | |
person.givenName | Ricardo | |
person.identifier | 1013768 | |
person.identifier | 617615 | |
person.identifier | 1154144 | |
person.identifier.ciencia-id | 2410-2DCC-F213 | |
person.identifier.ciencia-id | 2F12-4A0D-AC2A | |
person.identifier.ciencia-id | 071D-4FEB-416D | |
person.identifier.ciencia-id | 4D1C-4B92-5636 | |
person.identifier.ciencia-id | 5C1C-2581-6186 | |
person.identifier.orcid | 0000-0001-8316-5035 | |
person.identifier.orcid | 0000-0002-7084-8301 | |
person.identifier.orcid | 0000-0002-2727-4402 | |
person.identifier.orcid | 0000-0003-0421-1262 | |
person.identifier.orcid | 0000-0001-8958-7407 | |
person.identifier.rid | AAR-5605-2020 | |
person.identifier.rid | V-5277-2019 | |
person.identifier.rid | C-5030-2014 | |
person.identifier.scopus-author-id | 7005428250 | |
person.identifier.scopus-author-id | 16686056100 | |
person.identifier.scopus-author-id | 57202310047 | |
person.identifier.scopus-author-id | 14519023400 | |
person.identifier.scopus-author-id | 57246542000 | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
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relation.isAuthorOfPublication.latestForDiscovery | d6f283fe-7a98-4a67-9df6-082474d7f1dc |
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