Papel dos biomarcadores inflamatórios na predição de desfechos adversos na Endocardite Infecciosa

Detalhes bibliográficos
Ano de defesa: 2025
Autor(a) principal: Isabela Galizzi Fae
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Minas Gerais
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: https://hdl.handle.net/1843/81929
Resumo: Introduction: Despite advances in diagnostic and therapeutic strategies, infective endocarditis (IE) continues to be associated with high morbidity and mortality rates. Elevated levels of inflammatory biomarkers, such as cytokines, have been linked to adverse outcomes. This study aims to evaluate cytokine levels at three time points during hospitalization to predict adverse outcomes in IE patients. Methods: Patients diagnosed with IE according to the 2023 Duke’s Modified Criteria were included, along with a control group of healthy individuals. Using a high-performance Luminex assay, 27 cytokines, chemokines, and growth factors were analyzed. The primary outcome was in-hospital mortality, while the secondary endpoint was a composite of in-hospital death, cardiac, or infectious complications. Logistic and multinomial regression models were employed for each cytokine, and network and cluster analyses were conducted to identify potential markers of poor prognosis. Results: A total of 372 samples were collected from 160 IE patients and 49 samples from the control group. The temporal evolution of cytokines revealed that higher levels of CCL2 were associated with in-hospital mortality (OR = 1.029, 95% CI: 1.026-1.031, p<0.001), and higher levels of IL-6 with infectious complications (OR = 1.057, 95% CI: 1.026-1.090, p<0.001) and with overall complications (OR = 1.144, 95% CI: 1.057-1.23, p<0.05). CCL4 and CCL11 elevation also predicted cardiac complications (OR = 1.014, 95% CI: 1.013-1.016, p<0.001 and OR = 1.010, 95% CI: 1.009-1.012, p<0.001, respectively). Patients with poor outcomes exhibited higher levels of CCL5, IL-1Ra, and PDGF, and lower levels of IFN-γ and IL-13. Conclusion: Cytokine measurements during hospitalization for IE can help identify patients at high risk of mortality or IE-related complications. Among these, IL-6 is strongly associated with infectious and overall complications, highlighting its potential role as a prognostic biomarker.
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spelling Papel dos biomarcadores inflamatórios na predição de desfechos adversos na Endocardite InfecciosaThe role of inflammatory biomarkers in predicting adverse outcomes in Infective EndocarditisEndocardite BacterianaCitocinasBiomarcadoresMortalidade HospitalarPrognósticoDissertação AcadêmicaEndocarditeInfecciosaBiomarcadoresInflamatóriosCitocinasPrognósticoMortalidadeHospitalarIntroduction: Despite advances in diagnostic and therapeutic strategies, infective endocarditis (IE) continues to be associated with high morbidity and mortality rates. Elevated levels of inflammatory biomarkers, such as cytokines, have been linked to adverse outcomes. This study aims to evaluate cytokine levels at three time points during hospitalization to predict adverse outcomes in IE patients. Methods: Patients diagnosed with IE according to the 2023 Duke’s Modified Criteria were included, along with a control group of healthy individuals. Using a high-performance Luminex assay, 27 cytokines, chemokines, and growth factors were analyzed. The primary outcome was in-hospital mortality, while the secondary endpoint was a composite of in-hospital death, cardiac, or infectious complications. Logistic and multinomial regression models were employed for each cytokine, and network and cluster analyses were conducted to identify potential markers of poor prognosis. Results: A total of 372 samples were collected from 160 IE patients and 49 samples from the control group. The temporal evolution of cytokines revealed that higher levels of CCL2 were associated with in-hospital mortality (OR = 1.029, 95% CI: 1.026-1.031, p<0.001), and higher levels of IL-6 with infectious complications (OR = 1.057, 95% CI: 1.026-1.090, p<0.001) and with overall complications (OR = 1.144, 95% CI: 1.057-1.23, p<0.05). CCL4 and CCL11 elevation also predicted cardiac complications (OR = 1.014, 95% CI: 1.013-1.016, p<0.001 and OR = 1.010, 95% CI: 1.009-1.012, p<0.001, respectively). Patients with poor outcomes exhibited higher levels of CCL5, IL-1Ra, and PDGF, and lower levels of IFN-γ and IL-13. Conclusion: Cytokine measurements during hospitalization for IE can help identify patients at high risk of mortality or IE-related complications. Among these, IL-6 is strongly associated with infectious and overall complications, highlighting its potential role as a prognostic biomarker.CNPq - Conselho Nacional de Desenvolvimento Científico e TecnológicoUniversidade Federal de Minas Gerais2025-04-28T17:51:39Z2025-09-08T23:30:59Z2025-04-28T17:51:39Z2025-02-20info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/1843/81929porPrograma Institucional de Internacionalização – CAPES - PrInthttp://creativecommons.org/licenses/by-nc-sa/3.0/pt/info:eu-repo/semantics/openAccessIsabela Galizzi Faereponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMG2025-09-08T23:30:59Zoai:repositorio.ufmg.br:1843/81929Repositório InstitucionalPUBhttps://repositorio.ufmg.br/oairepositorio@ufmg.bropendoar:2025-09-08T23:30:59Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.none.fl_str_mv Papel dos biomarcadores inflamatórios na predição de desfechos adversos na Endocardite Infecciosa
The role of inflammatory biomarkers in predicting adverse outcomes in Infective Endocarditis
title Papel dos biomarcadores inflamatórios na predição de desfechos adversos na Endocardite Infecciosa
spellingShingle Papel dos biomarcadores inflamatórios na predição de desfechos adversos na Endocardite Infecciosa
Isabela Galizzi Fae
Endocardite Bacteriana
Citocinas
Biomarcadores
Mortalidade Hospitalar
Prognóstico
Dissertação Acadêmica
Endocardite
Infecciosa
Biomarcadores
Inflamatórios
Citocinas
Prognóstico
Mortalidade
Hospitalar
title_short Papel dos biomarcadores inflamatórios na predição de desfechos adversos na Endocardite Infecciosa
title_full Papel dos biomarcadores inflamatórios na predição de desfechos adversos na Endocardite Infecciosa
title_fullStr Papel dos biomarcadores inflamatórios na predição de desfechos adversos na Endocardite Infecciosa
title_full_unstemmed Papel dos biomarcadores inflamatórios na predição de desfechos adversos na Endocardite Infecciosa
title_sort Papel dos biomarcadores inflamatórios na predição de desfechos adversos na Endocardite Infecciosa
author Isabela Galizzi Fae
author_facet Isabela Galizzi Fae
author_role author
dc.contributor.author.fl_str_mv Isabela Galizzi Fae
dc.subject.por.fl_str_mv Endocardite Bacteriana
Citocinas
Biomarcadores
Mortalidade Hospitalar
Prognóstico
Dissertação Acadêmica
Endocardite
Infecciosa
Biomarcadores
Inflamatórios
Citocinas
Prognóstico
Mortalidade
Hospitalar
topic Endocardite Bacteriana
Citocinas
Biomarcadores
Mortalidade Hospitalar
Prognóstico
Dissertação Acadêmica
Endocardite
Infecciosa
Biomarcadores
Inflamatórios
Citocinas
Prognóstico
Mortalidade
Hospitalar
description Introduction: Despite advances in diagnostic and therapeutic strategies, infective endocarditis (IE) continues to be associated with high morbidity and mortality rates. Elevated levels of inflammatory biomarkers, such as cytokines, have been linked to adverse outcomes. This study aims to evaluate cytokine levels at three time points during hospitalization to predict adverse outcomes in IE patients. Methods: Patients diagnosed with IE according to the 2023 Duke’s Modified Criteria were included, along with a control group of healthy individuals. Using a high-performance Luminex assay, 27 cytokines, chemokines, and growth factors were analyzed. The primary outcome was in-hospital mortality, while the secondary endpoint was a composite of in-hospital death, cardiac, or infectious complications. Logistic and multinomial regression models were employed for each cytokine, and network and cluster analyses were conducted to identify potential markers of poor prognosis. Results: A total of 372 samples were collected from 160 IE patients and 49 samples from the control group. The temporal evolution of cytokines revealed that higher levels of CCL2 were associated with in-hospital mortality (OR = 1.029, 95% CI: 1.026-1.031, p<0.001), and higher levels of IL-6 with infectious complications (OR = 1.057, 95% CI: 1.026-1.090, p<0.001) and with overall complications (OR = 1.144, 95% CI: 1.057-1.23, p<0.05). CCL4 and CCL11 elevation also predicted cardiac complications (OR = 1.014, 95% CI: 1.013-1.016, p<0.001 and OR = 1.010, 95% CI: 1.009-1.012, p<0.001, respectively). Patients with poor outcomes exhibited higher levels of CCL5, IL-1Ra, and PDGF, and lower levels of IFN-γ and IL-13. Conclusion: Cytokine measurements during hospitalization for IE can help identify patients at high risk of mortality or IE-related complications. Among these, IL-6 is strongly associated with infectious and overall complications, highlighting its potential role as a prognostic biomarker.
publishDate 2025
dc.date.none.fl_str_mv 2025-04-28T17:51:39Z
2025-09-08T23:30:59Z
2025-04-28T17:51:39Z
2025-02-20
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
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dc.identifier.uri.fl_str_mv https://hdl.handle.net/1843/81929
url https://hdl.handle.net/1843/81929
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Programa Institucional de Internacionalização – CAPES - PrInt
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc-sa/3.0/pt/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/3.0/pt/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
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institution UFMG
reponame_str Repositório Institucional da UFMG
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repository.name.fl_str_mv Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)
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