Table 1 Demographic and clinical characteristics of patients from Stanford and Emory University cohorts

From: Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram

 

Stanford (N = 35,210)

Emory (N = 2338)

p value

Age (years)

63.4 ± 16.9

61.9 ± 16.0

<0.001

Male

52.6%

51.3%

0.230

Race

-

-

<0.001

 Asian

16.6%

3.2%

-

 Black

5.6%

41.5%

-

 Native American

0.4%

0.2%

-

 Other

16.4%

0.6%

-

 Pacific Islander

1.2%

0.2%

-

 Unknown

4.8%

5.7%

-

 White

55.0%

48.7%

-

Ethnicity

-

-

<0.001

 Hispanic/Latino

11.1%

2.8%

-

 Non-Hispanic

82.6%

86.0%

-

 Unknown

6.3%

11.2%

-

AT/AF

30.6%

33.9%

0.679

CAD

4.1%

10.2%

0.044

HTN

62.9%

81.4%

0.005

HF

27.3%

39.0%

0.063

CVA

6.0%

15.3%

0.007

Echocardiography

WMA

10.7%

8.9%

0.006

EF (%)

58.9 ± 11.2

56.2 ± 10.4

<0.001

  1. AT/AF atrial tachycardia/atrial fibrillation, CAD coronary artery disease, CVA cardiovascular accident, EF ejection fraction, HF heart failure, HTN hypertension, WMA wall motion abnormality
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