Advances in Cardiac Pacing: Arrhythmia Prediction, Prevention and Control Strategies
- PMID: 34925071
- PMCID: PMC8674736
- DOI: 10.3389/fphys.2021.783241
Advances in Cardiac Pacing: Arrhythmia Prediction, Prevention and Control Strategies
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.
Keywords: alternans; arrhythmias; control; non-linear dynamics; pacing; prediction.
Copyright © 2021 Patel, Sampath, Kapoor, Damani, Chellapuram, Challa, Kaur, Walton, Stavrakis, Arunachalam and Kulkarni.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
-
- Akboğa M. K., Balcı K. G., Yılmaz S., Aydın S., Yayla Ç, Ertem A. G., et al. (2017). Tp-e interval and tp-e/qtc ratio as novel surrogate markers for prediction of ventricular arrhythmic events in hypertrophic cardiomyopathy. Anatolian J. Cardiol. 18:48. 10.14744/AnatolJCardiol.2017.7581 - DOI - PMC - PubMed
-
- Alonso A., Krijthe B. P., Aspelund T., Stepas K. A., Pencina M. J., Moser C. B., et al. (2013). Simple risk model predicts incidence of atrial fibrillation in a racially and geographically diverse population: the charge-af consortium. J. Am. Heart Assoc. 2:e000102. 10.1161/JAHA.112.000102 - DOI - PMC - PubMed
-
- Armoundas A. A., Weiss E. H., Sayadi O., Laferriere S., Sajja N., Mela T., et al. (2013). A novel pacing method to suppress repolarization alternans in vivo: implications for arrhythmia prevention. Heart Rhythm. 10 564–572. - PubMed
-
- Attuel P., Danilovic D., Konz K. H., Brachmann J., Allaf D. E., Löscher S., et al. (2003). Relationship between selected overdrive parameters and the therapeutic outcome and tolerance of atrial overdrive pacing. Pacing Clin. Electrophysiol. 26 257–263. 10.1046/j.1460-9592.2003.00028.x - DOI - PubMed
Publication types
LinkOut - more resources
Full Text Sources
Miscellaneous
