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Published on: February 17, 2018
[Ischemic cardiomyopathy. Parameters of the autonomic tone]
Wolfgang Hamm1, Konstantinos Rizas, Axel Bauer
1Medizinische Klinik und Poliklinik I, Klinikum Großhadern, Ludwig-Maximilians-Universität München, Marchioninistr. 15, 81377, München, Deutschland, wolfgang.hamm@med.uni-muenchen.de.
Insights
Identifying high-risk patients after myocardial infarction is crucial. Cardiac autonomic dysfunction, assessed via ECG, predicts poor prognosis and may guide intensified treatment strategies.
Area of Science:
- Cardiology
- Autonomic Nervous System Research
- Biomedical Engineering
Context:
- Late mortality after myocardial infarction (MI) remains a significant clinical challenge despite advances in treatment.
- Cardiac autonomic dysfunction is increasingly recognized as a predictor of poor prognosis in ischemic cardiomyopathy.
- Noninvasive assessment of cardiac autonomic innervation is feasible using electrocardiogram (ECG) analysis.
Purpose:
- To explore the prognostic value of cardiac autonomic function parameters in patients with ischemic cardiomyopathy.
- To highlight the role of heart rate variability and T-wave alternans in assessing autonomic regulation post-MI.
- To determine if combining autonomic function parameters can optimize risk stratification.
Summary:
- Dysfunction of cardiac autonomic innervation is linked to adverse outcomes in ischemic cardiomyopathy.
- ECG analysis, including heart rate variability and T-wave alternans, can noninvasively assess sympathetic and parasympathetic activity.
- These parameters reflect regulatory processes at the sinus node and ventricular myocardium levels.
Impact:
- Optimizing risk assessment by combining autonomic function parameters can improve patient management after MI.
- Further randomized controlled trials are necessary to confirm the benefits of intensified monitoring or implantable cardioverter-defibrillator (ICD) implantation in patients with autonomic dysfunction.
Background:
Despite significant improvements with respect to medical and interventional therapies, late mortality after myocardial infarction remains high. Therefore, the identification of high-risk patients who benefit from an intensified treatment approach is of great clinical interest.
Methods And Results:
Experimental and clinical studies have shown that dysfunction of the cardiac autonomic innervation is associated with a poor prognosis in patients with ischemic cardiomyopathy. Clinical routine allows for noninvasive assessment of the cardiac autonomic innervation by means of ECG analysis. Parameters of heart rate variability reflect sympathetic and parasympathetic regulatory processes at the sinus node level. Recently, low frequency oscillatory modulations of the T-wave, which reflect sympathetic effects at the level of ventricular myocardium, have been identified.
Conclusion:
To optimize risk assessment, different parameters of the autonomic function can be combined. A large number of studies have proven the prognostic value of parameters of the autonomic nervous system. However, randomized controlled trials are needed to show whether patients with ischemic cardiomyopathy and autonomic dysfunction benefit from specific therapeutic interventions, i.e., intensified monitoring or ICD implantation.
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