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Left atrial appendage structural characteristics predict thrombus formation.

Carson Castellani1, Yan Gao2, Hyun Kim3

  • 1Department of Medicine, Medical College of Wisconsin Affiliated Hospitals, Milwaukee, Wisconsin, USA.

Journal of Cardiovascular Electrophysiology
|July 5, 2023
PubMed
Summary
This summary is machine-generated.

Left atrial appendage (LAA) structural characteristics like smaller ostial area and lower outflow velocity are associated with thrombus formation in nonvalvular atrial fibrillation (NVAF). These findings may improve cardioembolic stroke risk prediction.

Keywords:
atrial fibrillationleft atrial appendage anatomyleft atrial appendage thrombus

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Area of Science:

  • Cardiology
  • Medical Imaging
  • Thrombosis Research

Background:

  • Nonvalvular atrial fibrillation (NVAF) increases cardioembolic stroke risk due to thrombus formation, particularly in the left atrial appendage (LAA).
  • Current stroke risk stratification, like the CHA2DS2-VASc score, does not incorporate LAA structural data.

Purpose of the Study:

  • To investigate the association between LAA structural characteristics and thrombus formation in patients with NVAF.
  • To determine if LAA morphology and flow dynamics can predict the presence of thrombus.

Main Methods:

  • Retrospective matched case-control study of 196 NVAF patients.
  • Transesophageal echocardiography (TEE) data, including LAA ostial area (OA) and peak outflow velocity, were analyzed.
  • Propensity score matching was used to control for confounding variables.

Main Results:

  • Patients with LAA thrombus exhibited significantly lower LAA peak outflow velocity compared to controls.
  • Smaller LAA ostial area (OA) and reduced LAA depth were observed in the thrombus group.
  • Logistic regression identified aggregate OA and LAA exit velocity as significant predictors of thrombus presence.

Conclusions:

  • LAA structural characteristics, specifically aggregate ostial area and peak outflow velocity, are significantly associated with thrombus formation in NVAF.
  • Incorporating LAA structural data into risk assessment models may enhance the prediction of cardioembolic stroke.