Table 1 Overview of all datasets

From: Artificial intelligence prediction of age from echocardiography as a marker for cardiovascular disease

Characteristic

CSMC Cohorta

SHC Cohort (External Test)a

KP Cohort (External Test)a

CGMH Cohort (External Test)a

KU Cohort (External Test)a

Training

Validation

Test

Patients

85,755

897

4,086

4786

85,430

4411

129

Studies

155,243

1685

9,527

5528

96,380

4463

129

Videos

2,436,040

26,239

147,987

76,632

1,309,657

9858

1041

PLAX

873,198 (35.81%)

9479 (36.08%)

53,633 (36.20%)

27,114 (35.38%)

432,171 (33.0%)

4155 (42.15%)

403 (38.7%)

A4C

834,047 (34.20%)

8889 (33.84%)

50,512 (34.09%)

28,432 (37.10%)

466,216 (35.6%)

3875 (39.31%)

374 (35.9%)

SC

401,154 (16.45%)

4392 (16.72%)

23,888 (16.12%)

13,218 (17.25%)

222,461 (17.0%)

705 (7.15%)

78 (7.5%)

A2C

329,998 (13.53%)

3506 (13.34%)

20,135(13.60%)

7868 (10.27%)

188,809 (14.4%)

1123 (11.39%)

186 (17.9%)

Age (years)

65.97 ± 17.23

65.46 ± 16.42

66.78 ± 16.96

60.96 ± 16.69

66.7 ± 16.1

63.25 ± 15.46

76.4 ± 10.2

Female Count (n, %)

1,155,284 (47.38%)

12,221 (46.53%)

62,416 (42.13%)

34,447 (44.95%)

636,699 (48.6%)

4402 (44.65%)

308 (29.59%)

Race

White (n, %)

1,651,213 (67.78%)

17,392 (66.33%)

101,974 (68.84%)

41,551 (54.22%)

737,259 (56.3%)

-

-

Asian (n, %)

174,632 (7.17%)

1928 (7.36%)

9838 (6.65%)

12,527 (16.34%)

216,427 (16.5%)

9858 (100.0%)

1041 (100.0%)

Black or African American (n, %)

379,596 (15.59%)

4268 (16.28%)

22,170 (14.98%)

4284 (5.59%)

120,152 (9.2%)

-

-

Other (n, %)

232,956 (9.56%)

2678 (10.21%)

14,186 (9.59%)

18,270 (23.84%)

235,819 (18.0%)

-

-

LVEF < 41 (n, %)

366,729 (15.04%)

3313 (12.61%)

23,781 (16.05%)

9410 (12.28%)

127,564 (10.2%)

780 (8.20%)

97 (9.3%)

LVEF (%)

56.79 ± 15.03

58.07 ± 13.94

56.10 ± 15.41

54.33 ± 12.92

57.3 ± 22.2

63.54 ± 15.81

56.3 ± 10.1

Aortic Regurgitation (n, %)

507,170 (20.80%)

4797 (18.26%)

31,415 (21.20%)

14,657 (19.13%)

351,900 (26.9%)

317 (3.30%)

-

Mitral Regurgitation (n, %)

1,019,600 (41.81%)

10,607 (40.38%)

65,408 (44.14%)

31,734 (41.41%)

653,330 (49.9%)

640 (6.65%)

-

Tricuspid Regurgitation (n, %)

1,149,778 (47.15%)

11,716 (44.61%)

74,395 (50.21%)

37,806 (49.33%)

765,560 (58.5%)

663 (6.89%)

-

Aortic Stenosis (n, %)

169,753 (6.96%)

1570 (5.98%)

12,883 (8.69%)

3899 (5.10%)

123,627 (9.4%)

91 (0.95%)

-

BMI

27.25 ± 8.85

27.65 ± 8.01

27.10 ± 7.18

26.94 ± 6.42

29.0 ± 7.8

26.75 ± 11.98

23.1 ± 3.4

LVIDd 2D (cm)

4.53 ± 1.82

4.50 ± 1.16

4.55 ± 1.08

4.75 ± 0.86

4.66 ± 4.10

4.84 ± 0.72

-

LVIDs 2D (cm)

3.14 ± 1.06

3.09 ± 0.88

3.18 ± 1.06

3.34 ± 0.96

3.18 ± 0.81

3.15 ± 0.83

-

LVPWd 2D (cm)

1.08 ± 1.20

1.09 ± 0.29

1.09 ± 0.31

1 ± 0.21

1.06 ± 0.48

0.94 ± 0.17

-

IVSd 2D (cm)

1.10 ± 0.54

1.10 ± 0.30

1.13 ± 0.34

1.03 ± 0.24

1.09 ± 1.44

1.13 ± 0.23

13.3 ± 3.1

TR Peak Gradient (mmHg)

26.75 ± 12.91

24.91 ± 11.08

27.23 ± 12.66

29.54 ± 13.46

26.7 ± 11.9

24.35 ± 10.15

-

  1. amean ± std.dev.; n (%).
  2. BMI Body Mass Index, LVIDd 2D Left Ventricular Internal Dimension in Diastole, 2D, LVIDs 2D Left Ventricular Internal Dimension in Systole, 2D, LVPWd 2D Left Ventricular Posterior Wall Dimension in Diastole, 2D, IVSd 2D Interventricular Septum Dimension in Diastole, 2D, TR Peak Gradient Tricuspid Regurgitation Peak Gradient.
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