Table 1 Baseline patient characteristics
From: A deep learning model to predict recurrence of atrial fibrillation after pulmonary vein isolation
Variables | Recurrence group (N = 158) | Non-recurrence group (N = 328) | P-value |
|---|---|---|---|
Age (years) (mean ± SD) | 62.5 ± 10.5 | 61.7 ± 11.2 | 0.47 |
Sex (male) (n, %) | 92 (58.2%) | 229 (69.8%) | 0.01 |
BMI (mean ± SD) | 25.4 ± 3.5 | 24.7 ± 3.1 | 0.05 |
Heart failure (n, %) | 9 (5.7%) | 16 (4.9%) | 0. 83 |
Hypertension (n, %) | 90 (57.0%) | 184 (56.1%) | 0.92 |
Diabetes mellitus (n, %) | 26 (16.5%) | 55 (16.8%) | 1.00 |
Stroke (n, %) | 22 (13.9%) | 32 (9.8%) | 0.22 |
LA dimension on echocardiography (mm) | 44.2 ± 7.2 | 41.0 ± 6.3 | < 0.001 |
LA volume determined by a 3D system (ml) | 163.8 ± 56.3 | 145.0 ± 40.0 | <0.001 |
LA volume_Diastole on CT (ml) | 161.4 ± 57.4 | 144.8 ± 42.2 | 0.001 |
LA volume_Systole on CT (ml) | 132.1 ± 60.4 | 112.1 ± 45.8 | < 0.001 |
LA ejection fraction on CT (%) | 20.2 ± 14.2 | 24.2 ± 15.6 | 0.006 |