Atrial Fibrillation, Atrial Myopathy, and Thromboembolism: The Additive Value of Echocardiography and Possible New

Alessandro Campora1, Matteo Lisi2, Maria Concetta Pastore1

  • 1Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Viale Bracci 1, 53100 Siena, Italy.

PubMed

Insights

Atrial myopathy (AM) may be a key factor in stroke and dementia risk for atrial fibrillation (AF) patients. Left atrial strain analysis shows promise for better risk stratification than AF alone.

Area of Science:

  • Cardiology
  • Neurology
  • Geriatrics

Background:

  • Atrial fibrillation (AF) is a common arrhythmia linked to increased stroke and dementia risk, traditionally attributed to blood stasis and embolization.
  • Emerging evidence highlights atrial myopathy (AM), characterized by atrial structural/functional abnormalities, as a potential key contributor to these complications, even without AF.
  • Current AF management frameworks, like the 4S-AF characterization and ABC pathway, are evolving but may benefit from better integration of AM assessment.

Purpose of the Study:

  • To explore the emerging concept of atrial myopathy (AM) and its role in stroke and dementia risk for AF patients.
  • To review the limitations of current risk stratification methods (e.g., CHA2DS2-VASc score) in AF management.
  • To highlight the potential of left atrial (LA) strain analysis as a sensitive tool for AM evaluation and thromboembolic risk stratification.

Main Methods:

  • Review of current literature on atrial fibrillation, atrial myopathy, stroke, dementia, and risk stratification.
  • Focus on echocardiographic techniques, specifically left atrial (LA) strain analysis, for evaluating AM.
  • Comparison of LA strain analysis with traditional risk factors and AF burden for predicting thromboembolic events.

Main Results:

  • Atrial myopathy (AM) is increasingly recognized as a significant factor in AF-related complications.
  • Left atrial (LA) strain analysis demonstrates potential as a more sensitive indicator of thromboembolic risk than AF itself or traditional scores.
  • LA strain analysis may offer improved risk stratification for thromboembolic events in AF patients.

Conclusions:

  • Integrating AM assessment, particularly via LA strain analysis, into clinical practice could personalize AF management and improve outcomes.
  • LA strain analysis shows promise for enhancing risk stratification beyond current methods, potentially identifying high-risk individuals for targeted therapies.
  • Further research is needed to confirm the efficacy and safety of anticoagulation strategies in AM patients and refine AM diagnostic criteria.

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