Table 1 UCSF echo characteristics by cohort
From: Multiview deep learning improves detection of major cardiac conditions from echocardiography
Characteristic | Ventricular abnormality | Diastolic dysfunction | Valve regurgitation |
|---|---|---|---|
Patients | 20,504 | 6,643 | 18,573 |
Age, mean (s.d.) | 63 (17) | 65 (16) | 61 (17) |
Femalea | 10,321 (50.3%) | 3,345 (50.3%) | 9,300 (50.0%) |
Malea | 10,148 (49.5%) | 3,290 (49.5%) | 9,248 (49.8%) |
Race | |||
White | 10,776 (52.6%) | 3,482 (52.4%) | 9,978 (53.7%) |
Asian | 3,577 (17.4%) | 1,214 (18.3%) | 3,171 (17.1%) |
Latinx | 2,208 (10.8%) | 775 (11.7%) | 2,007 (10.8%) |
Black | 1,744 (8.5%) | 531 (8.0%) | 1,542 (8.3%) |
Other | 2,092 (10.2%) | 634 (9.5%) | 581 (3.1%) |
Echo studies | 41,790 | 11,411 | 27,692 |
Hypertension | 26,909(64.4%) | 7,995 (70.1%) | 16,724 (60.4%) |
CAD | 6,374 (15.3%) | 2,104 (18.4%) | 3,972 (14.3%) |
Hyperlipidemia | 15,161 (36.3%) | 4,334 (38.0%) | 9,568 (34.6%) |
Diabetes | 13,099 (31.3%) | 4,172 (36.6%) | 7,926 (28.6%) |
CKD | 9,271 (22.2%) | 2,852 (25.0%) | 5,333 (19.3%) |
Heart failure | 12,989 (31.1%) | 3,605 (31.6%) | 7,637 (27.6%) |
EF, mean (s.d.), % | 60 (13) | 60 (12) | 60 (13) |
BSA, mean (s.d.), m2 | 1.86 (0.32) | 1.85 (0.33) | 1.85 (0.29) |
TAPSE, mean (s.d.), mm | 2.18 (1.19) | 2.22 (1.41) | 2.21 (1.24) |
LVEDVI, mean (s.d.), ml m−2 | 53.82 (22.96) | 53.81 (22.39) | 53.42 (23.07) |
LVESVI, mean (s.d.), ml m−2 | 23.03 (18.65) | 22.52 (17.27) | 22.63 (18.31) |
LV mass, mean (s.d.), g | 88.46 (30.55) | 89.39 (31.49) | 86.74 (30.53) |
LVOT VTI, mean (s.d.), cm | 0.22 (0.39) | 0.23 (0.45) | 0.23 (0.50) |
RVOT VTI, mean (s.d.), cm | 0.16 (0.36) | 0.18 (0.61) | 0.17 (0.51) |
e′ lateral, mean (s.d.), cm s−1 | 0.10 (0.04) | 0.10 (0.04) | 0.10 (0.04) |
e′ medial, mean (s.d.), cm s−1 | 0.08 (0.05) | 0.08 (0.05) | 0.08 (0.05) |
