Optimizing Risk Stratification in Heart Failure and the Selection of Candidates for Heart Transplantation

Detalhes bibliográficos
Autor(a) principal: Pereira-da-Silva, T
Data de Publicação: 2018
Outros Autores: Soares, RM, Papoila, AL, Pinto, I, Feliciano, J, Almeida-Morais, L, Abreu, A, Cruz Ferreira, R
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.17/3106
Resumo: INTRODUCTION AND AIMS: Selecting patients for heart transplantation is challenging. We aimed to identify the most important risk predictors in heart failure and an approach to optimize the selection of candidates for heart transplantation. METHODS: Ambulatory patients followed in our center with symptomatic heart failure and left ventricular ejection fraction ≤40% prospectively underwent a comprehensive baseline assessment including clinical, laboratory, electrocardiographic, echocardiographic, and cardiopulmonary exercise testing parameters. All patients were followed for 60 months. The combined endpoint was cardiac death, urgent heart transplantation or need for mechanical circulatory support, up to 36 months. RESULTS: In the 263 enrolled patients (75% male, age 54±12 years), 54 events occurred. The independent predictors of adverse outcome were ventilatory efficiency (VE/VCO2) slope (HR 1.14, 95% CI 1.11-1.18), creatinine level (HR 2.23, 95% CI 1.14-4.36), and left ventricular ejection fraction (HR 0.96, 95% CI 0.93-0.99). VE/VCO2 slope was the most accurate risk predictor at any follow-up time analyzed (up to 60 months). The threshold of 39.0 yielded high specificity (97%), discriminated a worse or better prognosis than that reported for post-heart transplantation, and outperformed peak oxygen consumption thresholds of 10.0 or 12.0 ml/kg/min. For low-risk patients (VE/VCO2 slope <39.0), sodium and creatinine levels and variations in end-tidal carbon dioxide partial pressure on exercise identified those with excellent prognosis. CONCLUSIONS: VE/VCO2 slope was the most accurate parameter for risk stratification in patients with heart failure and reduced ejection fraction. Those with VE/VCO2 slope ≥39.0 may benefit from heart transplantation.
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spelling Optimizing Risk Stratification in Heart Failure and the Selection of Candidates for Heart TransplantationAprimoramento da Estratificação de Risco na Insuficiência Cardíaca e da Seleção de Candidatos a Transplantação CardíacaHSM CARHeart Failure/physiopathologyHeart Failure/surgeryHeart Function TestsHeart TransplantationPatient SelectionProspective StudiesRisk AssessmentINTRODUCTION AND AIMS: Selecting patients for heart transplantation is challenging. We aimed to identify the most important risk predictors in heart failure and an approach to optimize the selection of candidates for heart transplantation. METHODS: Ambulatory patients followed in our center with symptomatic heart failure and left ventricular ejection fraction ≤40% prospectively underwent a comprehensive baseline assessment including clinical, laboratory, electrocardiographic, echocardiographic, and cardiopulmonary exercise testing parameters. All patients were followed for 60 months. The combined endpoint was cardiac death, urgent heart transplantation or need for mechanical circulatory support, up to 36 months. RESULTS: In the 263 enrolled patients (75% male, age 54±12 years), 54 events occurred. The independent predictors of adverse outcome were ventilatory efficiency (VE/VCO2) slope (HR 1.14, 95% CI 1.11-1.18), creatinine level (HR 2.23, 95% CI 1.14-4.36), and left ventricular ejection fraction (HR 0.96, 95% CI 0.93-0.99). VE/VCO2 slope was the most accurate risk predictor at any follow-up time analyzed (up to 60 months). The threshold of 39.0 yielded high specificity (97%), discriminated a worse or better prognosis than that reported for post-heart transplantation, and outperformed peak oxygen consumption thresholds of 10.0 or 12.0 ml/kg/min. For low-risk patients (VE/VCO2 slope <39.0), sodium and creatinine levels and variations in end-tidal carbon dioxide partial pressure on exercise identified those with excellent prognosis. CONCLUSIONS: VE/VCO2 slope was the most accurate parameter for risk stratification in patients with heart failure and reduced ejection fraction. Those with VE/VCO2 slope ≥39.0 may benefit from heart transplantation.Sociedade Portuguesa de CardiologiaRepositório do Centro Hospitalar Universitário de Lisboa Central, EPEPereira-da-Silva, TSoares, RMPapoila, ALPinto, IFeliciano, JAlmeida-Morais, LAbreu, ACruz Ferreira, R2018-11-29T13:00:30Z2018-022018-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.17/3106engRev Port Cardiol. 2018 Feb;37(2):129-137.10.1016/j.repc.2017.06.018info: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:RCAAP2023-03-10T09:41:16Zoai:repositorio.chlc.min-saude.pt:10400.17/3106Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:20:26.625146Repositório 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 Optimizing Risk Stratification in Heart Failure and the Selection of Candidates for Heart Transplantation
Aprimoramento da Estratificação de Risco na Insuficiência Cardíaca e da Seleção de Candidatos a Transplantação Cardíaca
title Optimizing Risk Stratification in Heart Failure and the Selection of Candidates for Heart Transplantation
spellingShingle Optimizing Risk Stratification in Heart Failure and the Selection of Candidates for Heart Transplantation
Pereira-da-Silva, T
HSM CAR
Heart Failure/physiopathology
Heart Failure/surgery
Heart Function Tests
Heart Transplantation
Patient Selection
Prospective Studies
Risk Assessment
title_short Optimizing Risk Stratification in Heart Failure and the Selection of Candidates for Heart Transplantation
title_full Optimizing Risk Stratification in Heart Failure and the Selection of Candidates for Heart Transplantation
title_fullStr Optimizing Risk Stratification in Heart Failure and the Selection of Candidates for Heart Transplantation
title_full_unstemmed Optimizing Risk Stratification in Heart Failure and the Selection of Candidates for Heart Transplantation
title_sort Optimizing Risk Stratification in Heart Failure and the Selection of Candidates for Heart Transplantation
author Pereira-da-Silva, T
author_facet Pereira-da-Silva, T
Soares, RM
Papoila, AL
Pinto, I
Feliciano, J
Almeida-Morais, L
Abreu, A
Cruz Ferreira, R
author_role author
author2 Soares, RM
Papoila, AL
Pinto, I
Feliciano, J
Almeida-Morais, L
Abreu, A
Cruz Ferreira, R
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório do Centro Hospitalar Universitário de Lisboa Central, EPE
dc.contributor.author.fl_str_mv Pereira-da-Silva, T
Soares, RM
Papoila, AL
Pinto, I
Feliciano, J
Almeida-Morais, L
Abreu, A
Cruz Ferreira, R
dc.subject.por.fl_str_mv HSM CAR
Heart Failure/physiopathology
Heart Failure/surgery
Heart Function Tests
Heart Transplantation
Patient Selection
Prospective Studies
Risk Assessment
topic HSM CAR
Heart Failure/physiopathology
Heart Failure/surgery
Heart Function Tests
Heart Transplantation
Patient Selection
Prospective Studies
Risk Assessment
description INTRODUCTION AND AIMS: Selecting patients for heart transplantation is challenging. We aimed to identify the most important risk predictors in heart failure and an approach to optimize the selection of candidates for heart transplantation. METHODS: Ambulatory patients followed in our center with symptomatic heart failure and left ventricular ejection fraction ≤40% prospectively underwent a comprehensive baseline assessment including clinical, laboratory, electrocardiographic, echocardiographic, and cardiopulmonary exercise testing parameters. All patients were followed for 60 months. The combined endpoint was cardiac death, urgent heart transplantation or need for mechanical circulatory support, up to 36 months. RESULTS: In the 263 enrolled patients (75% male, age 54±12 years), 54 events occurred. The independent predictors of adverse outcome were ventilatory efficiency (VE/VCO2) slope (HR 1.14, 95% CI 1.11-1.18), creatinine level (HR 2.23, 95% CI 1.14-4.36), and left ventricular ejection fraction (HR 0.96, 95% CI 0.93-0.99). VE/VCO2 slope was the most accurate risk predictor at any follow-up time analyzed (up to 60 months). The threshold of 39.0 yielded high specificity (97%), discriminated a worse or better prognosis than that reported for post-heart transplantation, and outperformed peak oxygen consumption thresholds of 10.0 or 12.0 ml/kg/min. For low-risk patients (VE/VCO2 slope <39.0), sodium and creatinine levels and variations in end-tidal carbon dioxide partial pressure on exercise identified those with excellent prognosis. CONCLUSIONS: VE/VCO2 slope was the most accurate parameter for risk stratification in patients with heart failure and reduced ejection fraction. Those with VE/VCO2 slope ≥39.0 may benefit from heart transplantation.
publishDate 2018
dc.date.none.fl_str_mv 2018-11-29T13:00:30Z
2018-02
2018-02-01T00:00:00Z
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/10400.17/3106
url http://hdl.handle.net/10400.17/3106
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Rev Port Cardiol. 2018 Feb;37(2):129-137.
10.1016/j.repc.2017.06.018
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 Sociedade Portuguesa de Cardiologia
publisher.none.fl_str_mv Sociedade Portuguesa de Cardiologia
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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