Myocardial Architecture and Patient Variability in Clinical Patterns of Atrial Fibrillation

TL;DR

This study models how microstructural differences in heart tissue, like fibrosis, lead to variability in atrial fibrillation progression and clinical patterns, highlighting the importance of individual myocardial architecture.

Contribution

It introduces a simple anisotropic wavefront propagation model linking myocardial microstructure to AF variability, advancing understanding of patient-specific AF progression.

Findings

Microstructural differences cause variability in AF behavior.

Uncoupling of muscle strands influences AF onset and progression.

Critical architectural patterns anchor re-entrant wavefronts, triggering AF.

Abstract

Atrial fibrillation (AF) increases the risk of stroke by a factor of four to five and is the most common abnormal heart rhythm. The progression of AF with age, from short self-terminating episodes to persistence, varies between individuals and is poorly understood. An inability to understand and predict variation in AF progression has resulted in less patient-specific therapy. Likewise, it has been a challenge to relate the microstructural features of heart muscle tissue (myocardial architecture) with the emergent temporal clinical patterns of AF. We use a simple model of activation wavefront propagation on an anisotropic structure, mimicking heart muscle tissue, to show how variation in AF behaviour arises naturally from microstructural differences between individuals. We show that the stochastic nature of progressive transversal uncoupling of muscle strands (e.g., due to fibrosis or gap junctional remodelling), as occurs with age, results in variability in AF episode onset time, frequency, duration, burden and progression between individuals. This is consistent with clinical observations. The uncoupling of muscle strands can cause critical architectural patterns in the myocardium. These critical patterns anchor micro-re-entrant wavefronts and thereby trigger AF. It is the number of local critical patterns of uncoupling as opposed to global uncoupling that determines AF progression. This insight may eventually lead to patient specific therapy when it becomes possible to observe the cellular structure of a patient's heart.