Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models

Sudden arrhythmic death is a leading cause of mortality, however approaches to identify at-risk patients are of low sensitivity and specificity. Here, the authors develop a personalized approach to assess arrhythmia risk in post-infarction patients based on cardiac imaging and computational modellin...

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Autores principales:	Hermenegild J. Arevalo, Fijoy Vadakkumpadan, Eliseo Guallar, Alexander Jebb, Peter Malamas, Katherine C. Wu, Natalia A. Trayanova
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2016
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/f864e0ded3ae476a83d0fbc065326963
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spelling	oai:doaj.org-article:f864e0ded3ae476a83d0fbc0653269632021-12-02T16:49:43ZArrhythmia risk stratification of patients after myocardial infarction using personalized heart models10.1038/ncomms114372041-1723https://doaj.org/article/f864e0ded3ae476a83d0fbc0653269632016-05-01T00:00:00Zhttps://doi.org/10.1038/ncomms11437https://doaj.org/toc/2041-1723Sudden arrhythmic death is a leading cause of mortality, however approaches to identify at-risk patients are of low sensitivity and specificity. Here, the authors develop a personalized approach to assess arrhythmia risk in post-infarction patients based on cardiac imaging and computational modelling that significantly outperforms existing clinical metrics.Hermenegild J. ArevaloFijoy VadakkumpadanEliseo GuallarAlexander JebbPeter MalamasKatherine C. WuNatalia A. TrayanovaNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-8 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Hermenegild J. Arevalo Fijoy Vadakkumpadan Eliseo Guallar Alexander Jebb Peter Malamas Katherine C. Wu Natalia A. Trayanova Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models
description	Sudden arrhythmic death is a leading cause of mortality, however approaches to identify at-risk patients are of low sensitivity and specificity. Here, the authors develop a personalized approach to assess arrhythmia risk in post-infarction patients based on cardiac imaging and computational modelling that significantly outperforms existing clinical metrics.
format	article
author	Hermenegild J. Arevalo Fijoy Vadakkumpadan Eliseo Guallar Alexander Jebb Peter Malamas Katherine C. Wu Natalia A. Trayanova
author_facet	Hermenegild J. Arevalo Fijoy Vadakkumpadan Eliseo Guallar Alexander Jebb Peter Malamas Katherine C. Wu Natalia A. Trayanova
author_sort	Hermenegild J. Arevalo
title	Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models
title_short	Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models
title_full	Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models
title_fullStr	Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models
title_full_unstemmed	Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models
title_sort	arrhythmia risk stratification of patients after myocardial infarction using personalized heart models
publisher	Nature Portfolio
publishDate	2016
url	https://doaj.org/article/f864e0ded3ae476a83d0fbc065326963
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Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models

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