Trends in COVID-19 patient characteristics and mortality throughout the pandemic: insights from a portuguese single-centre study
Main Author: | |
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Publication Date: | 2024 |
Other Authors: | , , , , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10400.21/21762 |
Summary: | As SARS-CoV-2 continues to circulate globally and new variants emerge, it remains relevant to gather data on the affected patients’ clinical characteristics and outcomes to understand how individual factors and public health measures affect prognosis. Thus, we analyzed data of 870 ICU patients admitted for COVID-19 across two distinct phases of the pandemic: before and after the introduction of immunization. Experimental results showed that vaccination significantly impacted patient demographics after the third wave, and that waves number two and three, dominated by the EU1 and Alpha variants, had higher mortality. Older age, the need for invasive mechanical ventilation, and hematologic cancer were significantly associated with an increased risk of death in the adjusted multivariable model (AUC: 0.778, 95% CI 0.746-0.810, p<0.001). As the pandemic progressed, while some public health interventions influenced the observed trends, individual patient characteristics had a more substantial impact on their outcome. |
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Trends in COVID-19 patient characteristics and mortality throughout the pandemic: insights from a portuguese single-centre studyCOVID-19 wavesCOVID-19 vaccinationIntensive care unitMortalityAs SARS-CoV-2 continues to circulate globally and new variants emerge, it remains relevant to gather data on the affected patients’ clinical characteristics and outcomes to understand how individual factors and public health measures affect prognosis. Thus, we analyzed data of 870 ICU patients admitted for COVID-19 across two distinct phases of the pandemic: before and after the introduction of immunization. Experimental results showed that vaccination significantly impacted patient demographics after the third wave, and that waves number two and three, dominated by the EU1 and Alpha variants, had higher mortality. Older age, the need for invasive mechanical ventilation, and hematologic cancer were significantly associated with an increased risk of death in the adjusted multivariable model (AUC: 0.778, 95% CI 0.746-0.810, p<0.001). As the pandemic progressed, while some public health interventions influenced the observed trends, individual patient characteristics had a more substantial impact on their outcome.EARETDomingues, NunoTomar, Rajesh SinghMahamud, TosapornRCIPLVon Rekowski, CristianaPinto, IolaHenrique Fonseca, Tiago AlexandreAraújo, Rúben Alexandre DinisFerreira, ArturCalado, CecíliaBento, Luís2025-04-07T08:58:31Z2024-122024-12-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.21/21762eng978-989-9121-43-010.17758/EARES19info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-09T02:16:10Zoai:repositorio.ipl.pt:10400.21/21762Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T06:21:23.759036Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Trends in COVID-19 patient characteristics and mortality throughout the pandemic: insights from a portuguese single-centre study |
title |
Trends in COVID-19 patient characteristics and mortality throughout the pandemic: insights from a portuguese single-centre study |
spellingShingle |
Trends in COVID-19 patient characteristics and mortality throughout the pandemic: insights from a portuguese single-centre study Von Rekowski, Cristiana COVID-19 waves COVID-19 vaccination Intensive care unit Mortality |
title_short |
Trends in COVID-19 patient characteristics and mortality throughout the pandemic: insights from a portuguese single-centre study |
title_full |
Trends in COVID-19 patient characteristics and mortality throughout the pandemic: insights from a portuguese single-centre study |
title_fullStr |
Trends in COVID-19 patient characteristics and mortality throughout the pandemic: insights from a portuguese single-centre study |
title_full_unstemmed |
Trends in COVID-19 patient characteristics and mortality throughout the pandemic: insights from a portuguese single-centre study |
title_sort |
Trends in COVID-19 patient characteristics and mortality throughout the pandemic: insights from a portuguese single-centre study |
author |
Von Rekowski, Cristiana |
author_facet |
Von Rekowski, Cristiana Pinto, Iola Henrique Fonseca, Tiago Alexandre Araújo, Rúben Alexandre Dinis Ferreira, Artur Calado, Cecília Bento, Luís |
author_role |
author |
author2 |
Pinto, Iola Henrique Fonseca, Tiago Alexandre Araújo, Rúben Alexandre Dinis Ferreira, Artur Calado, Cecília Bento, Luís |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Domingues, Nuno Tomar, Rajesh Singh Mahamud, Tosaporn RCIPL |
dc.contributor.author.fl_str_mv |
Von Rekowski, Cristiana Pinto, Iola Henrique Fonseca, Tiago Alexandre Araújo, Rúben Alexandre Dinis Ferreira, Artur Calado, Cecília Bento, Luís |
dc.subject.por.fl_str_mv |
COVID-19 waves COVID-19 vaccination Intensive care unit Mortality |
topic |
COVID-19 waves COVID-19 vaccination Intensive care unit Mortality |
description |
As SARS-CoV-2 continues to circulate globally and new variants emerge, it remains relevant to gather data on the affected patients’ clinical characteristics and outcomes to understand how individual factors and public health measures affect prognosis. Thus, we analyzed data of 870 ICU patients admitted for COVID-19 across two distinct phases of the pandemic: before and after the introduction of immunization. Experimental results showed that vaccination significantly impacted patient demographics after the third wave, and that waves number two and three, dominated by the EU1 and Alpha variants, had higher mortality. Older age, the need for invasive mechanical ventilation, and hematologic cancer were significantly associated with an increased risk of death in the adjusted multivariable model (AUC: 0.778, 95% CI 0.746-0.810, p<0.001). As the pandemic progressed, while some public health interventions influenced the observed trends, individual patient characteristics had a more substantial impact on their outcome. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-12 2024-12-01T00:00:00Z 2025-04-07T08:58:31Z |
dc.type.driver.fl_str_mv |
conference paper |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.21/21762 |
url |
http://hdl.handle.net/10400.21/21762 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
978-989-9121-43-0 10.17758/EARES19 |
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 |
EARET |
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EARET |
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