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Updated: May 9, 2026

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
The irregularity factor: Mechanistic insights into beat-to-beat irregularities in atrial fibrillation cycle length
Natasja M S de Groot1, Lianne N van Staveren2, Eva A H Lanters2
1Department of Cardiology, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Microelectronics, Signal Processing Systems, Faculty of Electrical, Engineering, Mathematics and Computer Sciences, Delft University of Technology, Delft, The Netherlands.
Background:
Measures derived from the atrial fibrillation (AF) cycle length (AFCL) are used to identify regions crucial for AF maintenance or predict (ablation) treatment outcomes. However, mechanisms underlying beat-to-beat irregularities in AFCL are unknown.
Objective:
We aimed to (1) investigate beat-to-beat changes in AFCL (Δ-AFCL) by relating temporal variation in AFCL with quantified beat-to-beat changes in activation patterns and conduction times (Δ-CTs) and (2) test whether the irregularity factor (IF) (standard deviation of the Δ-AFCL histogram) is indicative of the complexity of activation patterns.
Methods:
Mapping was performed in 24 patients with long-standing persistent AF (LSPAF) and a reference group (n = 25, patients with induced [acute] AF). At the mapping area center, Δ-AFCL was calculated by subtracting each AFCL from the preceding AFCL and related to causes of Δ-CT (CT(N) - CT(N-1)) of fibrillation waves from the electrode array border toward the mapping area center.
Results:
The IF was larger during LSPAF (52 ± 17 vs 25 ± 10; P < .001) than during acute AF. Δ-CTs were also larger (25 ± 8 ms vs 19 ± 7 ms; P = .005) and caused by beat-to-beat changes in conduction velocity (36 ± 6 cm/s vs 29 ± 6 cm/s; P = .001) and beat-to-beat changes in direction (94° ± 13° vs 64° ± 22°; P < .001); beat-to-beat changes in path length (13 ± 4 mm vs 14 ± 3 mm; P = .333) were comparable. The IF correlated with conduction block [probability (ρ) = 0.887], lines of conduction block lengths (ρ = 0.900), number of fibrillation waves (ρ = 0.889), and prevalence of focal waves (ρ = 0.609) (P < .001 for all).
Conclusion:
The IF indicates the underlying complexity of activation patterns, is higher during LSPAF than during acute AF, and is comparable throughout the atria during LSPAF. It is a novel, easy-to-calculate, objective electrical biomarker, which can be used for, for example, guiding patient-tailored treatment independently of the AF mechanisms.
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