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Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
08:10

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation

Published on: July 20, 2022

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Relationship between left atrial strain, diastolic dysfunction and subclinical atrial fibrillation in patients with

Flemming J Olsen1, Louisa M Christensen2, Derk W Krieger3,4

  • 1Cardiovascular Non-Invasive Imaging Research Laboratory (CIRL), Department of Cardiology, Herlev & Gentofte Hospital, University of Copenhagen, Hellerup, Denmark. flemming.j.olsen@gmail.com.

The International Journal of Cardiovascular Imaging
|October 10, 2019
PubMed

Insights

Left atrial strain (LAs) can help identify paroxysmal atrial fibrillation (PAF) in cryptogenic stroke patients. Impaired LAs independently predicts PAF, improving risk stratification beyond conventional echocardiography.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Stroke Neurology

Background:

  • Cryptogenic strokes (CS) are often caused by paroxysmal atrial fibrillation (PAF).
  • Early detection of PAF is crucial for stroke prevention.
  • Echocardiography can aid in identifying patients at risk for PAF.

Purpose of the Study:

  • To evaluate the predictive value of left atrial (LA) strain for identifying PAF in CS patients.
  • To assess a revised diastolic dysfunction (DDF) model incorporating LA strain for PAF prediction.

Main Methods:

  • Prospective study of 56 CS patients with cardiac monitoring.
  • Echocardiography including global longitudinal strain (GLS) and LA reservoir strain (LAs) was performed.
  • Patients were stratified by LAs, and a revised DDF grading was applied.

Main Results:

  • No conventional echocardiographic parameters predicted PAF.
  • Lower LAs was significantly associated with PAF (p=0.046) and independently predicted PAF (OR 5.88).
  • Revised DDF grading, but not conventional DDF, significantly predicted PAF (OR 1.88).

Conclusions:

  • Left atrial strain (LAs) is a valuable independent predictor of PAF in CS patients.
  • LAs improves risk stratification for PAF detection.
  • A revised DDF model incorporating LAs enhances PAF prediction in CS patients.

Keywords:
Atrial fibrillationAtrial strainCryptogenic strokeEchocardiography

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