Objective: The aim of this study was to assess the predictive value of the left atrial volume index (LAVI) in electrical cardioversion (ECV) and observe the recurrence rate of atrial fibrillation (AF) after a successful ECV in patients with non-valvular atrial fibrillation.
Method: This study was designed as a diagnostic accuracy and prospective cohort study. Eighty patients (mean age 62±12 years; 52.5% female) were enrolled in study. LAVI was measured using the area-length method and the indexed body surface area. Patients in whom the sinus rhythm (SR) was established following the ECV were assessed according to the clinical and electrocardiography (ECG) findings at the first month and grouped as those with continued SR or recurrent AF. The Students t, Mann-Whitney U, Fishers exact, Chi-square tests, ROC and logistic regression analyses were used for statistical analysis.
Results: Subsequent to the ECV, SR was achieved in 62.5% (n=50) of the patients. In those where SR was established, the AP-Lad (4.32±0.62 vs. 4.77±0.4 cm/p=0.002) and LAVI (35.3±11.5 vs. 53.1±10.1 mL/m2/p<0.001) values were observed to be lower. ECV success was found to be associated only with the LAVI (OR: 1.122, 95%CI: 1.058-1.191, p<0.001). The AUC was found as 0.892±0.041 for the LAVI (95% CI: 0.075-0.285, p<0.001). During the controls at the end of the 1st month, SR was maintained in 72% (n=36) of the successful ECV group. Among the patients with maintained SR, the antero-posterior left atrial dimension (4.17±0.62 vs. 4.72±0.5 cm/p=0.004) and LAVI (30.8±6.2 vs. 46.8±13.9 mL/m2/p<0.001) values were also observed to be lower. Only the LAVI was found to be associated with the recurrence of the AF (OR: 1.355, 95% CI: 1.154-1.591, p<0.001). The AUC was found as 0.950±0.029 for the LAVI (95% CI: 0.063-0.313, p=0.003)
Conclusion: Lower LAVI values before the ECV are strong and independent predictors of the success of the ECV and the maintenance of SR after a successful ECV.Keywords: Atrial fibrillation, cardioversion, left atrial volume index, regression analysis, diagnostic accuracy, sensitivity, specificity