Mechanism of Ventricular Tachycardia Occurring in Chronic Myocardial Infarction Scar.
J Kevin DonahueJonathan ChrispinOlujimi A AjijolaPublished in: Circulation research (2024)
Cardiac arrest is the leading cause of death in the more economically developed countries. Ventricular tachycardia associated with myocardial infarct is a prominent cause of cardiac arrest. Ventricular arrhythmias occur in 3 phases of infarction: during the ischemic event, during the healing phase, and after the scar matures. Mechanisms of arrhythmias in these phases are distinct. This review focuses on arrhythmia mechanisms for ventricular tachycardia in mature myocardial scar. Available data have shown that postinfarct ventricular tachycardia is a reentrant arrhythmia occurring in circuits found in the surviving myocardial strands that traverse the scar. Electrical conduction follows a zigzag course through that area. Conduction velocity is impaired by decreased gap junction density and impaired myocyte excitability. Enhanced sympathetic tone decreases action potential duration and increases sarcoplasmic reticular calcium leak and triggered activity. These elements of the ventricular tachycardia mechanism are found diffusely throughout scar. A distinct myocyte repolarization pattern is unique to the ventricular tachycardia circuit, setting up conditions for classical reentry. Our understanding of ventricular tachycardia mechanisms continues to evolve as new data become available. The ultimate use of this information would be the development of novel diagnostics and therapeutics to reliably identify at-risk patients and prevent their ventricular arrhythmias.
Keyphrases
- left ventricular
- cardiac arrest
- wound healing
- heart failure
- cardiopulmonary resuscitation
- end stage renal disease
- catheter ablation
- acute myocardial infarction
- congenital heart disease
- electronic health record
- ejection fraction
- chronic kidney disease
- big data
- small molecule
- peritoneal dialysis
- prognostic factors
- machine learning
- healthcare
- ischemia reperfusion injury
- blood flow
- deep learning
- atrial fibrillation