Why the study?
Data on the clinical significance of LV ECV in patients with AF, particularly those without replacement fibrosis, were sparse.
Does left ventricular extracellular volume fraction (LV ECV) predict atrial fibrillation recurrence after first catheter ablation?
Does left ventricular extracellular volume fraction (LV ECV) predict atrial fibrillation recurrence after first catheter ablation?
Left ventricular extracellular volume fraction expansion assessed by CMR is a strong independent predictor of atrial fibrillation recurrence after first catheter ablation.
May refine post-ablation risk stratification; leaves open prospective validation before guiding therapy.
BACKGROUND: Left ventricular (LV) extracellular volume fraction (ECV) provides prognostic information in patients with variety of cardiomyopathies. However, data on the clinical significance of LV ECV in patients with atrial fibrillation (AF), especially in patients without replacement fibrosis are sparse. This study sought to investigate whether the presence of LV fibrosis identified by cardiac magnetic resonance (CMR) ECV quantification would independently predict the recurrence of AF after first catheter ablation (CA) in patients with AF. METHODS: A total of 130 consecutive patients who were referred for CA of AF underwent CMR examination prior to ablation. LV function, T1 mapping derived LV ECV, LV late gadolinium enhancement (LGE) were assessed. Patients were followed for arrhythmia recurrence after the CA procedure. RESULTS: . 27.4%±2.9%, P<0.001). In multivariable model, gender (HR: 0.348, 95% CI: 0.174-0.697, P=0.003), body mass index (BMI) (HR: 1.159, 95% CI: 1.050-1.279, P=0.003), AF duration (HR: 1.006, 95% CI: 1.001-1.011, P=0.017), and LV ECV (HR: 1.158, 95% CI: 1.071-1.251, P=0.000) were significantly associated with AF recurrence. In subgroup of patients without LGE, gender, BMI, AF duration and LV ECV were still the independent predictors of AF recurrence. CONCLUSIONS: LV ECV expansion is associated with AF recurrence after CA and is a strong independent predictor of AF recurrence.
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Li et al. (2019) studied this question.
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