Cargando…
Optimal left ventricular ejection fraction in risk stratification of patients with cardiac sarcoidosis
AIMS: Identifying patients with cardiac sarcoidosis (CS) who are at an increased risk of sudden cardiac death (SCD) poses a clinical challenge. We sought to identify the optimal cutoff for left ventricular ejection fraction (LVEF) in predicting ventricular arrhythmia (VA) and all-cause mortality and...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516712/ https://www.ncbi.nlm.nih.gov/pubmed/37721485 http://dx.doi.org/10.1093/europace/euad273 |
_version_ | 1785109185125416960 |
---|---|
author | Hutt, Erika Brizneda, Maria Vega Goldar, Ghazaleh Aguilera, Jose Wang, Tom Kai Ming Taimeh, Ziad Culver, Daniel Callahan, Thomas Tang, W H Wilson Cremer, Paul C Jaber, Wael A Ribeiro Neto, Manuel L Jellis, Christine L |
author_facet | Hutt, Erika Brizneda, Maria Vega Goldar, Ghazaleh Aguilera, Jose Wang, Tom Kai Ming Taimeh, Ziad Culver, Daniel Callahan, Thomas Tang, W H Wilson Cremer, Paul C Jaber, Wael A Ribeiro Neto, Manuel L Jellis, Christine L |
author_sort | Hutt, Erika |
collection | PubMed |
description | AIMS: Identifying patients with cardiac sarcoidosis (CS) who are at an increased risk of sudden cardiac death (SCD) poses a clinical challenge. We sought to identify the optimal cutoff for left ventricular ejection fraction (LVEF) in predicting ventricular arrhythmia (VA) and all-cause mortality and to identify clinical and imaging risk factors in patients with known CS. METHODS AND RESULTS: This retrospective cohort included 273 patients with well-established CS. The primary endpoint was a composite of VA and all-cause mortality. A modified receiver operating curve analysis was utilized to identify the optimal cutoff for LVEF in predicting the primary composite endpoint. Cox proportional hazard regression analysis was used to identify independent risk factors of the outcomes. At median follow-up of 7.9 years, the rate of the primary endpoint was 38% (83 VAs and 32 all-cause deaths). The 5-year overall survival rate was 97%. The optimal cutoff LVEF for the primary composite endpoint was 42% in the entire cohort and in subjects without a history of VA. Younger age, history of VA, lower LVEF, and any presence of scar by cardiac magnetic resonance (CMR) imaging and/or positron emission tomography (PET) were found to be independent risk factors for the primary endpoint and for VA, whereas lower LVEF, baseline NT-proBNP, and any presence of scar were independent risk factor of all-cause mortality. CONCLUSION: Among patients with CS, a mild reduction in LVEF of 42% was identified as the optimal cutoff for predicting VA and all-cause mortality. Prior VA and scar by CMR or PET are strong risk factors for future VA and all-cause mortality. |
format | Online Article Text |
id | pubmed-10516712 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105167122023-09-23 Optimal left ventricular ejection fraction in risk stratification of patients with cardiac sarcoidosis Hutt, Erika Brizneda, Maria Vega Goldar, Ghazaleh Aguilera, Jose Wang, Tom Kai Ming Taimeh, Ziad Culver, Daniel Callahan, Thomas Tang, W H Wilson Cremer, Paul C Jaber, Wael A Ribeiro Neto, Manuel L Jellis, Christine L Europace Clinical Research AIMS: Identifying patients with cardiac sarcoidosis (CS) who are at an increased risk of sudden cardiac death (SCD) poses a clinical challenge. We sought to identify the optimal cutoff for left ventricular ejection fraction (LVEF) in predicting ventricular arrhythmia (VA) and all-cause mortality and to identify clinical and imaging risk factors in patients with known CS. METHODS AND RESULTS: This retrospective cohort included 273 patients with well-established CS. The primary endpoint was a composite of VA and all-cause mortality. A modified receiver operating curve analysis was utilized to identify the optimal cutoff for LVEF in predicting the primary composite endpoint. Cox proportional hazard regression analysis was used to identify independent risk factors of the outcomes. At median follow-up of 7.9 years, the rate of the primary endpoint was 38% (83 VAs and 32 all-cause deaths). The 5-year overall survival rate was 97%. The optimal cutoff LVEF for the primary composite endpoint was 42% in the entire cohort and in subjects without a history of VA. Younger age, history of VA, lower LVEF, and any presence of scar by cardiac magnetic resonance (CMR) imaging and/or positron emission tomography (PET) were found to be independent risk factors for the primary endpoint and for VA, whereas lower LVEF, baseline NT-proBNP, and any presence of scar were independent risk factor of all-cause mortality. CONCLUSION: Among patients with CS, a mild reduction in LVEF of 42% was identified as the optimal cutoff for predicting VA and all-cause mortality. Prior VA and scar by CMR or PET are strong risk factors for future VA and all-cause mortality. Oxford University Press 2023-09-18 /pmc/articles/PMC10516712/ /pubmed/37721485 http://dx.doi.org/10.1093/europace/euad273 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Clinical Research Hutt, Erika Brizneda, Maria Vega Goldar, Ghazaleh Aguilera, Jose Wang, Tom Kai Ming Taimeh, Ziad Culver, Daniel Callahan, Thomas Tang, W H Wilson Cremer, Paul C Jaber, Wael A Ribeiro Neto, Manuel L Jellis, Christine L Optimal left ventricular ejection fraction in risk stratification of patients with cardiac sarcoidosis |
title | Optimal left ventricular ejection fraction in risk stratification of patients with cardiac sarcoidosis |
title_full | Optimal left ventricular ejection fraction in risk stratification of patients with cardiac sarcoidosis |
title_fullStr | Optimal left ventricular ejection fraction in risk stratification of patients with cardiac sarcoidosis |
title_full_unstemmed | Optimal left ventricular ejection fraction in risk stratification of patients with cardiac sarcoidosis |
title_short | Optimal left ventricular ejection fraction in risk stratification of patients with cardiac sarcoidosis |
title_sort | optimal left ventricular ejection fraction in risk stratification of patients with cardiac sarcoidosis |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516712/ https://www.ncbi.nlm.nih.gov/pubmed/37721485 http://dx.doi.org/10.1093/europace/euad273 |
work_keys_str_mv | AT hutterika optimalleftventricularejectionfractioninriskstratificationofpatientswithcardiacsarcoidosis AT briznedamariavega optimalleftventricularejectionfractioninriskstratificationofpatientswithcardiacsarcoidosis AT goldarghazaleh optimalleftventricularejectionfractioninriskstratificationofpatientswithcardiacsarcoidosis AT aguilerajose optimalleftventricularejectionfractioninriskstratificationofpatientswithcardiacsarcoidosis AT wangtomkaiming optimalleftventricularejectionfractioninriskstratificationofpatientswithcardiacsarcoidosis AT taimehziad optimalleftventricularejectionfractioninriskstratificationofpatientswithcardiacsarcoidosis AT culverdaniel optimalleftventricularejectionfractioninriskstratificationofpatientswithcardiacsarcoidosis AT callahanthomas optimalleftventricularejectionfractioninriskstratificationofpatientswithcardiacsarcoidosis AT tangwhwilson optimalleftventricularejectionfractioninriskstratificationofpatientswithcardiacsarcoidosis AT cremerpaulc optimalleftventricularejectionfractioninriskstratificationofpatientswithcardiacsarcoidosis AT jaberwaela optimalleftventricularejectionfractioninriskstratificationofpatientswithcardiacsarcoidosis AT ribeironetomanuell optimalleftventricularejectionfractioninriskstratificationofpatientswithcardiacsarcoidosis AT jellischristinel optimalleftventricularejectionfractioninriskstratificationofpatientswithcardiacsarcoidosis |