Predicting obstructive coronary artery disease in heart failure with reduced ejection fraction
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2022 |
| Outros Autores: | , , , , , , , , , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
| Texto Completo: | http://hdl.handle.net/10362/145748 |
Resumo: | Copyright © 2022 Sociedade Portuguesa de Cardiologia. Publicado por Elsevier España, S.L.U. All rights reserved. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Predicting obstructive coronary artery disease in heart failure with reduced ejection fractionA practical clinical scoreSDG 3 - Good Health and Well-beingCopyright © 2022 Sociedade Portuguesa de Cardiologia. Publicado por Elsevier España, S.L.U. All rights reserved.INTRODUCTION AND OBJECTIVES: Obstructive coronary artery disease (CAD) remains the most common etiology of heart failure with reduced ejection fraction (HFrEF). However, there is controversy whether invasive coronary angiography (ICA) should be used initially to exclude CAD in patients presenting with new-onset HFrEF of unknown etiology. Our study aimed to develop a clinical score to quantify the risk of obstructive CAD in these patients. METHODS: We performed a cross-sectional observational study of 452 consecutive patients presenting with new-onset HFrEF of unknown etiology undergoing elective ICA in one academic center, between January 2005 and December 2019. Independent predictors for obstructive CAD were identified. A risk score was developed using multivariate logistic regression of designated variables. The accuracy and discriminative power of the predictive model were assessed. RESULTS: A total of 109 patients (24.1%) presented obstructive CAD. Six independent predictors were identified and included in the score: male gender (2 points), diabetes (1 point), dyslipidemia (1 point), smoking (1 point), peripheral arterial disease (1 point), and regional wall motion abnormalities (3 points). Patients with a score ≤3 had less than 15% predicted probability of obstructive CAD. Our score showed good discriminative power (C-statistic 0.872; 95% CI 0.834-0.909: p<0.001) and calibration (p=0.333 from the goodness-of-fit test). CONCLUSIONS: A simple clinical score showed the ability to predict the risk of obstructive CAD in patients presenting with new-onset HFrEF of unknown etiology and may guide the clinician in selecting the most appropriate diagnostic modality for the assessment of obstructive CAD.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)RUNAlbuquerque, FranciscoOliveira, Afonso Félixde Araújo Gonçalves, PedroCampante Teles, Ruide Sousa Almeida, ManuelGonçalves, MarianaLopes, Pedro MCunha, Gonçalo J LPresume, JoãoMatos, DanielMadeira, SérgioBrito, JoãoRaposo, LuísMesquita Gabriel, HenriqueMendes, Miguel2022-11-23T22:29:33Z2023-012023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/145748eng0304-4750PURE: 47892413https://doi.org/10.1016/j.repc.2021.09.020info: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:RCAAP2024-03-11T05:26:22Zoai:run.unl.pt:10362/145748Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:52:14.789761Repositório 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 |
Predicting obstructive coronary artery disease in heart failure with reduced ejection fraction A practical clinical score |
| title |
Predicting obstructive coronary artery disease in heart failure with reduced ejection fraction |
| spellingShingle |
Predicting obstructive coronary artery disease in heart failure with reduced ejection fraction Albuquerque, Francisco SDG 3 - Good Health and Well-being |
| title_short |
Predicting obstructive coronary artery disease in heart failure with reduced ejection fraction |
| title_full |
Predicting obstructive coronary artery disease in heart failure with reduced ejection fraction |
| title_fullStr |
Predicting obstructive coronary artery disease in heart failure with reduced ejection fraction |
| title_full_unstemmed |
Predicting obstructive coronary artery disease in heart failure with reduced ejection fraction |
| title_sort |
Predicting obstructive coronary artery disease in heart failure with reduced ejection fraction |
| author |
Albuquerque, Francisco |
| author_facet |
Albuquerque, Francisco Oliveira, Afonso Félix de Araújo Gonçalves, Pedro Campante Teles, Rui de Sousa Almeida, Manuel Gonçalves, Mariana Lopes, Pedro M Cunha, Gonçalo J L Presume, João Matos, Daniel Madeira, Sérgio Brito, João Raposo, Luís Mesquita Gabriel, Henrique Mendes, Miguel |
| author_role |
author |
| author2 |
Oliveira, Afonso Félix de Araújo Gonçalves, Pedro Campante Teles, Rui de Sousa Almeida, Manuel Gonçalves, Mariana Lopes, Pedro M Cunha, Gonçalo J L Presume, João Matos, Daniel Madeira, Sérgio Brito, João Raposo, Luís Mesquita Gabriel, Henrique Mendes, Miguel |
| author2_role |
author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM) RUN |
| dc.contributor.author.fl_str_mv |
Albuquerque, Francisco Oliveira, Afonso Félix de Araújo Gonçalves, Pedro Campante Teles, Rui de Sousa Almeida, Manuel Gonçalves, Mariana Lopes, Pedro M Cunha, Gonçalo J L Presume, João Matos, Daniel Madeira, Sérgio Brito, João Raposo, Luís Mesquita Gabriel, Henrique Mendes, Miguel |
| dc.subject.por.fl_str_mv |
SDG 3 - Good Health and Well-being |
| topic |
SDG 3 - Good Health and Well-being |
| description |
Copyright © 2022 Sociedade Portuguesa de Cardiologia. Publicado por Elsevier España, S.L.U. All rights reserved. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022-11-23T22:29:33Z 2023-01 2023-01-01T00:00:00Z |
| 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/10362/145748 |
| url |
http://hdl.handle.net/10362/145748 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
0304-4750 PURE: 47892413 https://doi.org/10.1016/j.repc.2021.09.020 |
| dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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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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1799138114348777472 |