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Updated: Mar 21, 2026

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
Echocardiographic measures of atrial function may predict atrial fibrillation in stroke patients
David Waldenhjort1,2, Piotr Sobocinski Doliwa1, Mahbubul Alam1
1a Department of Clinical Sciences, Karolinska Institutet , Danderyd University Hospital Stockholm , Sweden ;
Insights
Echocardiography can predict undiagnosed atrial fibrillation (AF) in stroke patients. Left atrial volume index and tissue Doppler imaging measures of atrial contraction effectively identify silent AF.
Area of Science:
- Cardiology
- Neurology
- Medical Imaging
Background:
- Atrial fibrillation (AF) is a common cause of stroke, necessitating anticoagulant therapy.
- Identifying undiagnosed AF in stroke patients is crucial for effective stroke prevention.
Purpose of the Study:
- To evaluate the predictive value of echocardiography for detecting unknown atrial fibrillation (AF) in patients with a history of stroke or transient ischemic attack (TIA).
Main Methods:
- A prospective study involving 174 stroke/TIA patients without diagnosed AF.
- Echocardiographic evaluation included tissue Doppler imaging (TDI) to assess left atrial and left ventricular diastolic function.
- AF screening was conducted over a 30-day period.
Main Results:
- Fifteen patients (8.6%) were diagnosed with AF.
- Patients with AF exhibited larger left atrial volume index (LAVI) and lower A' velocities compared to those without AF.
- Echocardiographic parameters like LAVI and LAVI/A' ratios demonstrated significant predictive value for detecting AF (AUC 0.71-0.78).
Conclusions:
- Left atrial volume index (LAVI) and atrial contraction measures via TDI can predict undiagnosed AF in post-stroke/TIA patients.
- These echocardiographic findings may aid in the detection of silent AF, guiding anticoagulant treatment decisions.
Objective:
In patients with a prior stroke or transient ischemic attack (TIA) and atrial fibrillation anticoagulant treatment is indicated. This study's purpose was to investigate if echocardiography can predict unknown AF in patients after stroke.
Design:
Prospectively, 174 stroke/TIA patients without diagnosed AF underwent echocardiographic evaluation including tissue Doppler imaging (TDI) focusing on functional parameters of the left atrium and left ventricular diastolic function. AF screening was performed during 30 d.
Results:
Fifteen patients (8.6%) were diagnosed with AF. Echocardiography in the AF group compared to those without AF, showed larger left atrial volume index (LAVI), (37.2 ± 6.7 vs. 31.6 ± 8.6 ml/m(2), p = 0.018), lower A' velocities in ventricular (5.9 ± 2.2 vs. 7.2 ± 1.6, p = 0.010) and atrial (4.8 ± 1.4 vs. 5.9 ± 1.4, p = 0.013) septa, higher LAVI/A' in ventricular septum (6.7 (5.0-8.7) vs. 4.2 (3.2-5.5), p = 0.001) and atrial septum (8.5 (5.9-11.0) vs. 5.1 (4.1-6.8), p = 0.003). Receiver operating characteristic analyses to detect AF was performed, area under the curve for LAVI was 0.71 (0.61-0.83), p = 0.008, and for LAVI/A' in ventricular septum 0.76 (0.59-0.93), p = 0.006 and atrial septum 0.78 (0.63-0.93), p = 0.002, respectively.
Conclusions:
LAVI and measures of atrial contraction as measured by TDI predict unknown AF in patients after an stroke/TIA and may be used to detect silent AF.
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