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Advances in Cardiac Pacing: Arrhythmia Prediction, Prevention and Control Strategies
Mehrie Harshad Patel1, Shrikanth Sampath1, Anoushka Kapoor1
1Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, United States.
Insights
Cardiac arrhythmias are a major cause of death. This review explores advanced pacing techniques to predict, prevent, and control abnormal heart rhythms, improving patient outcomes.
Area of Science:
- Cardiology
- Biomedical Engineering
- Computational Biology
Background:
- Cardiac arrhythmias are a leading cause of global mortality, with sudden cardiac death as the first symptom in 20% of cases annually.
- Atrial tachyarrhythmias are linked to comorbidities like hypertension, ischemic heart disease, and stroke risk.
- Current devices like pacemakers and defibrillators face challenges in predicting and preventing arrhythmias due to heart's complex dynamics.
Purpose of the Study:
- To provide a comprehensive review of current advances in cardiac arrhythmia prediction, prevention, and control.
- To describe promising pacing techniques for early detection and suppression of abnormal heart rhythms.
- To offer a clinical perspective on integrating basic science findings into anti-arrhythmic pacing strategies.
Main Methods:
- Review of traditional clinical arrhythmia management.
- Description of novel electrical stimulation and sensing modalities.
- Analysis of spatiotemporal dynamics and non-linearity in cardiac electrophysiology.
Main Results:
- Defibrillatory shocks remain primary for lethal ventricular arrhythmias but are associated with false positives and reduced quality of life.
- Pacing techniques show promise for predicting and suppressing cardiac arrhythmias.
- A gap exists between basic science research and clinical application of anti-arrhythmic pacing.
Conclusions:
- Advanced pacing strategies offer potential for improved cardiac arrhythmia management.
- Bridging the gap between basic and clinical science is crucial for adopting new anti-arrhythmic pacing techniques.
- Further research and clinical translation are needed to optimize prediction, prevention, and control of cardiac arrhythmias.
Abstract:
Cardiac arrhythmias constitute a tremendous burden on healthcare and are the leading cause of mortality worldwide. An alarming number of people have been reported to manifest sudden cardiac death as the first symptom of cardiac arrhythmias, accounting for about 20% of all deaths annually. Furthermore, patients prone to atrial tachyarrhythmias such as atrial flutter and fibrillation often have associated comorbidities including hypertension, ischemic heart disease, valvular cardiomyopathy and increased risk of stroke. Technological advances in electrical stimulation and sensing modalities have led to the proliferation of medical devices including pacemakers and implantable defibrillators, aiming to restore normal cardiac rhythm. However, given the complex spatiotemporal dynamics and non-linearity of the human heart, predicting the onset of arrhythmias and preventing the transition from steady state to unstable rhythms has been an extremely challenging task. Defibrillatory shocks still remain the primary clinical intervention for lethal ventricular arrhythmias, yet patients with implantable cardioverter defibrillators often suffer from inappropriate shocks due to false positives and reduced quality of life. Here, we aim to present a comprehensive review of the current advances in cardiac arrhythmia prediction, prevention and control strategies. We provide an overview of traditional clinical arrhythmia management methods and describe promising potential pacing techniques for predicting the onset of abnormal rhythms and effectively suppressing cardiac arrhythmias. We also offer a clinical perspective on bridging the gap between basic and clinical science that would aid in the assimilation of promising anti-arrhythmic pacing strategies.
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