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Risk stratifiers for arrhythmic and non-arrhythmic mortality after acute myocardial infarction
The effective discrimination between patients at risk of Arrhythmic Mortality (AM) and Non-Arrhythmic Mortality (NAM) constitutes one of the important unmet clinical needs. Successful risk assessment based on Electrocardiography (ECG) records is greatly improved by the combination of different indic...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028459/ https://www.ncbi.nlm.nih.gov/pubmed/29967325 http://dx.doi.org/10.1038/s41598-018-28327-8 |
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author | Gañán-Calvo, Alfonso M. Hnatkova, Katerina Romero-Calvo, Álvaro Fajardo-López, Juan Malik, Marek |
author_facet | Gañán-Calvo, Alfonso M. Hnatkova, Katerina Romero-Calvo, Álvaro Fajardo-López, Juan Malik, Marek |
author_sort | Gañán-Calvo, Alfonso M. |
collection | PubMed |
description | The effective discrimination between patients at risk of Arrhythmic Mortality (AM) and Non-Arrhythmic Mortality (NAM) constitutes one of the important unmet clinical needs. Successful risk assessment based on Electrocardiography (ECG) records is greatly improved by the combination of different indices reflecting not only the pathological substrate but also the autonomic regulation of cardiac electrophysiology. This study assesses the cardiac risk stratification capacity of two new Heart Rate Variability (HRV) parameters, Breath Concurrence 6 (BC6) -sinusoidal RR variability of 6 heart beats per breath cycle- and Primary Ectopia (PE) -presence of early ventricular contractions of any etiology- together with the Deceleration Capacity (DC). While BC6 characterizes the response to physiological and pathophysiological stimuli, PE qualifies autonomic cardiac electrophysiology. The analysis of the European Myocardial Infarct Amiodarone Trial (EMIAT) database indicates that BC6 is related with the risk of Arrhythmic Mortality (AM) and PE with the risk of Non-Arrhythmic Mortality. BC6 is the only single parameter that significantly discriminates between AM and NAM. While the combination of BC6 and DC contributes to the identification of AM risk, PE together with DC improves the prediction of NAM in patients with severe ischemic heart disease. |
format | Online Article Text |
id | pubmed-6028459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60284592018-07-09 Risk stratifiers for arrhythmic and non-arrhythmic mortality after acute myocardial infarction Gañán-Calvo, Alfonso M. Hnatkova, Katerina Romero-Calvo, Álvaro Fajardo-López, Juan Malik, Marek Sci Rep Article The effective discrimination between patients at risk of Arrhythmic Mortality (AM) and Non-Arrhythmic Mortality (NAM) constitutes one of the important unmet clinical needs. Successful risk assessment based on Electrocardiography (ECG) records is greatly improved by the combination of different indices reflecting not only the pathological substrate but also the autonomic regulation of cardiac electrophysiology. This study assesses the cardiac risk stratification capacity of two new Heart Rate Variability (HRV) parameters, Breath Concurrence 6 (BC6) -sinusoidal RR variability of 6 heart beats per breath cycle- and Primary Ectopia (PE) -presence of early ventricular contractions of any etiology- together with the Deceleration Capacity (DC). While BC6 characterizes the response to physiological and pathophysiological stimuli, PE qualifies autonomic cardiac electrophysiology. The analysis of the European Myocardial Infarct Amiodarone Trial (EMIAT) database indicates that BC6 is related with the risk of Arrhythmic Mortality (AM) and PE with the risk of Non-Arrhythmic Mortality. BC6 is the only single parameter that significantly discriminates between AM and NAM. While the combination of BC6 and DC contributes to the identification of AM risk, PE together with DC improves the prediction of NAM in patients with severe ischemic heart disease. Nature Publishing Group UK 2018-07-02 /pmc/articles/PMC6028459/ /pubmed/29967325 http://dx.doi.org/10.1038/s41598-018-28327-8 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Gañán-Calvo, Alfonso M. Hnatkova, Katerina Romero-Calvo, Álvaro Fajardo-López, Juan Malik, Marek Risk stratifiers for arrhythmic and non-arrhythmic mortality after acute myocardial infarction |
title | Risk stratifiers for arrhythmic and non-arrhythmic mortality after acute myocardial infarction |
title_full | Risk stratifiers for arrhythmic and non-arrhythmic mortality after acute myocardial infarction |
title_fullStr | Risk stratifiers for arrhythmic and non-arrhythmic mortality after acute myocardial infarction |
title_full_unstemmed | Risk stratifiers for arrhythmic and non-arrhythmic mortality after acute myocardial infarction |
title_short | Risk stratifiers for arrhythmic and non-arrhythmic mortality after acute myocardial infarction |
title_sort | risk stratifiers for arrhythmic and non-arrhythmic mortality after acute myocardial infarction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028459/ https://www.ncbi.nlm.nih.gov/pubmed/29967325 http://dx.doi.org/10.1038/s41598-018-28327-8 |
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