<abstract xmlns="http://www.w3.org/1999/xhtml">
<p>Heart failure is one of the most complex pathologies and most prevalent diseases, with around 64 million people affected globally (2% of the total adult population). In the initial phase of heart failure, studies have shown that the autonomic nervous system is in a state of imbalance, with an increase in the influence of the sympathetic nervous system on the heart. Persistence of long-term activation of the autonomic nervous system produces a decrease in the levels of myocardial catecholamines and also promotes down-regulation of beta-1 receptors.</p>
<p>This article is a systematic review of papers from four well-known and important scientific databases on the subject of power spectral analysis of ECG Holter monitoring in patients with heart failure. The PRISMA technique was used to identify the most relevant articles on this subject, and their results were presented based on importance of their use for the diagnosis of heart failure, for risk stratification of sudden death or arrhythmias, for the evaluation of certain treatments used, or for other possible pathophysiological mechanisms involved in the evolution of the disease.</p>
</abstract>

Heart failure is one of the most complex pathologies and most prevalent diseases, with around 64 million people affected globally (2% of the total adult population). In the initial phase of heart failure, studies have shown that the autonomic nervous system is in a state of imbalance, with an increase in the influence of the sympathetic nervous system on the heart. Persistence of long-term activation of the autonomic nervous system produces a decrease in the levels of myocardial catecholamines and also promotes down-regulation of beta-1 receptors.
This article is a systematic review of papers from four well-known and important scientific databases on the subject of power spectral analysis of ECG Holter monitoring in patients with heart failure. The PRISMA technique was used to identify the most relevant articles on this subject, and their results were presented based on importance of their use for the diagnosis of heart failure, for risk stratification of sudden death or arrhythmias, for the evaluation of certain treatments used, or for other possible pathophysiological mechanisms involved in the evolution of the disease.

Evaluation of Autonomic Nervous System Through Spectral Analysis in Patients with Ischemic Heart Failure: A Systematic Review

Department of Cardio-Thoracic Pathology, Faculty of Medicine

Carol Davila University of Medicine and Pharmacy

Department of Internal Medicine and Cardiology

Department of Engineering in Foreign Languages

National University of Science and Technology POLITEHNICA of Bucharest

Department of Cardiology, The University Emergency Hospital of Bucharest

Internal Medicine

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Heart failure is one of the most complex pathologies and most prevalent diseases, with around 64 million people affected globally (2% of the total adult...

Evaluation of Autonomic Nervous System Through Spectral Analysis in Patients with Ischemic Heart Failure: A Systematic Review

Online veröffentlicht: 29. März 2024

Seitenbereich: 25 - 37

DOI: https://doi.org/10.2478/inmed-2024-0275

Schlüsselwörter
heart failure, heart rate variability, spectral analysis, ECG Holter, autonomic nervous system

© 2024 Giovanni-Paul Portelli et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Evaluation of Autonomic Nervous System Through Spectral Analysis in Patients with Ischemic Heart Failure: A Systematic Review

Online veröffentlicht: 29. März 2024

Seitenbereich: 25 - 37

DOI: https://doi.org/10.2478/inmed-2024-0275

Schlüsselwörterheart failure, heart rate variability, spectral analysis, ECG Holter, autonomic nervous system

© 2024 Giovanni-Paul Portelli et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
heart failure, heart rate variability, spectral analysis, ECG Holter, autonomic nervous system