Fibrosis, atrial fibrillation and stroke: clinical updates and emerging mechanistic models

Patrick M Boyle1, Juan Carlos Del Álamo2, Nazem Akoum3

  • 1Bioengineering, University of Washington, Seattle, Washington, USA.

Insights

Atrial fibrosis is a key factor in stroke risk for patients with atrial fibrillation (AF) and embolic stroke of undetermined source (ESUS). Computational models integrating fibrosis and blood flow dynamics offer personalized treatment strategies.

Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Computational Biology

Background:

  • Current stroke risk assessment in atrial fibrillation (AF) relies on clinical factors, but underlying mechanisms, including atrial fibrosis, are poorly understood.
  • Embolic stroke of undetermined source (ESUS) presents challenges, as AF is often absent despite monitoring, highlighting the need for alternative risk stratification.
  • Atrial fibrosis is increasingly recognized as a unifying substrate for both arrhythmia and thrombus formation, impacting stroke risk.

Purpose of the Study:

  • To review current clinical knowledge on stroke risk in AF and ESUS.
  • To explore the role of atrial fibrosis as a unifying mechanism in thromboembolism.
  • To present computational modeling frameworks for understanding and predicting stroke risk.

Main Methods:

  • Review of clinical data on stroke risk factors and atrial fibrillation.
  • Analysis of computational models for AF initiation, maintenance, and fluid dynamics in the left atrium.
  • Integration of multiscale modeling incorporating fibrotic, morphological, electrical, and mechanical remodeling.

Main Results:

  • Atrial fibrosis serves as a substrate for both arrhythmias and thrombus formation.
  • Computational models reveal potential arrhythmia vulnerability in ESUS patients.
  • Fluid dynamics models enhance understanding of thrombus formation influenced by left atrial appendage morphology and blood flow.

Conclusions:

  • Multiscale modeling integrating structural and electrical remodeling offers mechanistic insights into thromboembolism.
  • Computational models integrating fibrosis and blood flow dynamics hold promise for personalized stroke risk assessment and treatment planning.
  • A future paradigm integrating simulations into personalized treatment plans for stroke prevention is envisioned.

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