Table 1 Participant characteristics
From: Deep learning of left atrial structure and function provides link to atrial fibrillation risk
Women | Men | Both | |
|---|---|---|---|
N | 18,916 | 16,133 | 35,049 |
Age at time of MRI | 64 (8) | 65 (8) | 64 (8) |
BMI (kg/m2) | 26 (5) | 27 (4) | 26 (4) |
Height (cm) | 163 (6) | 176 (7) | 169 (9) |
Weight (kg) | 69 (13) | 83 (13) | 75 (15) |
Systolic blood pressure (mmHg) | 136 (19) | 142 (17) | 139 (19) |
Diastolic blood pressure (mmHg) | 77 (10) | 81 (10) | 79 (10) |
Left atrium maximum volume (cm3) | 64 (15) | 79 (19) | 71 (18) |
Left atrium minimum volume (cm3) | 28 (9) | 37 (12) | 32 (11) |
Left atrium stroke volume (cm3) | 36 (8) | 43 (11) | 39 (10) |
Left atrium emptying fraction (%) | 57 (8) | 54 (7) | 56 (8) |
Mitral regurgitation (%) | 10 (0) | 9 (0) | 19 (0) |
Mitral stenosis (%) | 3 (0) | 0 (0) | 3 (0) |
Heart failure (%) | 0 (0) | 0 (0) | 0 (0) |
Hypertrophic cardiomyopathy (%) | 0 (0) | 0 (0) | 0 (0) |
Congenital heart disease (%) | 3 (0) | 1 (0) | 4 (0) |
Aortic valve disease (%) | 18 (0) | 21 (0) | 39 (0) |
Atrial fibrillation or flutter (%) | 0 (0) | 0 (0) | 0 (0) |
