Why the study?
Atrial stretch may contribute to AF recurrence after AFCA, leading investigators to test whether AI could predict LA wall stress non-invasively and forecast post-AFCA rhythm outcomes.
Does high left atrial wall stress predicted by artificial intelligence predict atrial fibrillation recurrence in patients undergoing catheter ablation?
Population
2223 patients in cohort 1 and 658 patients in cohort 2 undergoing AFCA
Comparison
Highest quartile LA wall stress vs lower quartiles
Design
Cohort study (prediction model derivation and validation)
Follow-up
26.0 (12.0–52.0) months
Authors
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AI-predicted LA wall stress was associated with post-AFCA recurrence; leaves open whether noninvasive AI risk stratification improves ablation outcomes.
Does high left atrial wall stress predicted by artificial intelligence predict atrial fibrillation recurrence in patients undergoing catheter ablation?
Higher left atrial wall stress, which can be predicted by AI using non-invasive parameters, is associated with poorer rhythm outcomes after atrial fibrillation catheter ablation.
Lee et al. (2021) studied this question.
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