Table 1 Characteristics of the primary and external test datasets

From: Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging

 

Primary dataset

External test dataset

Entire dataset

No. of subjects

Sex

Age in years (range)

No. of subjects

Sex

Age in years (range)

Male

Female

Male

Female

Total

7,900

5,380 (68%)

2,520 (32%)

45 ± 16 (2–86)

1,819

1,228 (68%)

591 (32%)

47 ± 16 (1–88)

9,719

Normal control cohort

1,250

700 (56%)

550 (44%)

37 ± 14 (10–78)

403

230 (57%)

173 (43%)

41 ± 16 (6–79)

1,653

CVD cohort

6,650

4,680 (70%)

1,970 (30%)

47 ± 15 (2–86)

1,416

998 (71%)

418 (29%)

48 ± 16 (1–88)

8,066

1

HCM

2,327

1,513 (65%)

814 (35%)

48 ± 14 (7–86)

388

260 (67%)

128 (33%)

51 ± 15 (9–86)

2,715

2

DCM

1,435

1,076 (75%)

359 (25%)

44 ± 15 (4–82)

204

140 (69%)

64 (31%)

50 ± 14 (8–76)

1,639

3

CAD

942

829 (88%)

113 (12%)

56 ± 11 (8–83)

299

269 (90%)

30 (10%)

56 ± 11 (24–88)

1,241

4

LVNC

291

192 (66%)

99 (34%)

39 ± 16 (6–77)

30

18 (60%)

12 (40%)

40 ± 14 (11–65)

321

5

RCM

355

170 (48%)

185 (52%)

50 ± 20 (7–85)

22

13 (59%)

9 (41%)

38 ± 24 (1–78)

377

6

CAM

220

156 (71%)

64 (29%)

56 ± 11 (18–83)

138

92 (67%)

46 (33%)

59 ± 9 (29–82)

358

7

HHD

402

366 (91%)

36 (9%)

42 ± 13 (12–75)

107

88 (82%)

19 (18%)

45 ± 14 (21–75)

509

8

Myocarditis

87

64 (74%)

23 (26%)

28 ± 11 (14–69)

66

48 (73%)

18 (27%)

26 ± 12 (8–68)

153

9

ARVC

370

245 (66%)

125 (34%)

39 ± 14 (9–74)

54

37 (68%)

17 (32%)

40 ± 14 (13–67)

424

10

PAH

134

36 (27%)

98 (73%)

32 ± 12 (10–72)

66

22 (33%)

44 (67%)

38 ± 17 (10–72)

200

11

Ebstein’s anomaly

87

33 (38%)

54 (62%)

34 ± 16 (2–63)

42

11 (26%)

31 (74%)

32 ± 14 (6–61)

129