Left Atrial Function Determined by Cardiac Computed Tomography Predicts Device-Detected Atrial High-Rate Episodes in

Christoffer Tobias Witt1, Mads Brix Kronborg1, Anders Sommer1

  • 1From the Department of Cardiology, Aarhus University Hospital, Aarhus.

Insights

In patients receiving cardiac resynchronization therapy (CRT), lower pre-implant left atrial emptying fraction (LAEF) independently predicts atrial high-rate episodes (AHREs). This finding highlights LAEF as a key indicator for AHRE risk assessment.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Electrophysiology

Background:

  • Atrial high-rate episodes (AHREs) are a concern in patients with cardiac resynchronization therapy (CRT).
  • Left atrial (LA) structure and function may influence arrhythmic events.
  • Predictive markers for AHREs in CRT patients require further investigation.

Purpose of the Study:

  • To investigate the association between left atrial (LA) volumes and function with atrial high-rate episodes (AHREs) in patients undergoing cardiac resynchronization therapy (CRT).

Main Methods:

  • Ninety-two patients without prior atrial fibrillation were evaluated before and 6 months after CRT implantation.
  • Cardiac computed tomography (CT) was used to derive left atrial volumes and LA emptying fraction (LAEF).
  • Cox regression analysis assessed the relationship between baseline LA variables and AHRE occurrence.

Main Results:

  • Twenty-four percent of patients developed AHREs during follow-up.
  • Higher baseline LA emptying fraction (LAEF) was associated with a lower risk of AHRE (HR 0.94, P=0.003).
  • Larger minimal left atrial volume (LAmin) was linked to a higher AHRE risk (HR 1.03, P=0.04), but LAEF remained the significant predictor when combined.

Conclusions:

  • Pre-implantation left atrial emptying fraction (LAEF) measured by cardiac CT is an independent predictor of device-detected atrial high-rate episodes (AHREs) in patients with CRT.
  • Lower LAEF is associated with an increased risk of AHREs, suggesting its utility in risk stratification.
Abstract

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