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Autonomic Dysfunction and Risk Stratification Assessed from Heart Rate Pattern

The modulation of the autonomic nervous system (ANS) under physiological and pathophysiological conditions is in focus of recent research. Many patients with cardio- and cerebrovascular diseases display features of sympathovagal dysregulation. Measuring specific ANS parameters could improve risk str...

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Detalles Bibliográficos
Autores principales: Günther, A, Witte, O.W, Hoyer, D
Formato: Texto
Lenguaje:English
Publicado: Bentham Open 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3024569/
https://www.ncbi.nlm.nih.gov/pubmed/21258571
http://dx.doi.org/10.2174/1874205X01004010039
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author Günther, A
Witte, O.W
Hoyer, D
author_facet Günther, A
Witte, O.W
Hoyer, D
author_sort Günther, A
collection PubMed
description The modulation of the autonomic nervous system (ANS) under physiological and pathophysiological conditions is in focus of recent research. Many patients with cardio- and cerebrovascular diseases display features of sympathovagal dysregulation. Measuring specific ANS parameters could improve risk stratification. Thus, the early diagnosis of ANS dysfunction in these patients poses a great challenge with high prognostic relevance. The most relevant methods and measures of Heart Rate Variability (HRV) analysis and HRV monitoring will be described in detail in this chapter. The grown importance of these easily obtainable heart rate patterns in stratifying the risk of patients with myocardial infarction and heart failure as well as ischemic stroke will be demonstrated based on recent clinical studies. In order to perspectively improve clinical management of these patients further large scale clinical investigations on the role of ANS dysfunction will be useful.
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spelling pubmed-30245692011-01-21 Autonomic Dysfunction and Risk Stratification Assessed from Heart Rate Pattern Günther, A Witte, O.W Hoyer, D Open Neurol J Article The modulation of the autonomic nervous system (ANS) under physiological and pathophysiological conditions is in focus of recent research. Many patients with cardio- and cerebrovascular diseases display features of sympathovagal dysregulation. Measuring specific ANS parameters could improve risk stratification. Thus, the early diagnosis of ANS dysfunction in these patients poses a great challenge with high prognostic relevance. The most relevant methods and measures of Heart Rate Variability (HRV) analysis and HRV monitoring will be described in detail in this chapter. The grown importance of these easily obtainable heart rate patterns in stratifying the risk of patients with myocardial infarction and heart failure as well as ischemic stroke will be demonstrated based on recent clinical studies. In order to perspectively improve clinical management of these patients further large scale clinical investigations on the role of ANS dysfunction will be useful. Bentham Open 2010-06-15 /pmc/articles/PMC3024569/ /pubmed/21258571 http://dx.doi.org/10.2174/1874205X01004010039 Text en © Günther et al.; Licensee Bentham Open. http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Günther, A
Witte, O.W
Hoyer, D
Autonomic Dysfunction and Risk Stratification Assessed from Heart Rate Pattern
title Autonomic Dysfunction and Risk Stratification Assessed from Heart Rate Pattern
title_full Autonomic Dysfunction and Risk Stratification Assessed from Heart Rate Pattern
title_fullStr Autonomic Dysfunction and Risk Stratification Assessed from Heart Rate Pattern
title_full_unstemmed Autonomic Dysfunction and Risk Stratification Assessed from Heart Rate Pattern
title_short Autonomic Dysfunction and Risk Stratification Assessed from Heart Rate Pattern
title_sort autonomic dysfunction and risk stratification assessed from heart rate pattern
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3024569/
https://www.ncbi.nlm.nih.gov/pubmed/21258571
http://dx.doi.org/10.2174/1874205X01004010039
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