Table 1 Baseline characteristics.

From: Externally validated deep learning model to identify prodromal Parkinson’s disease from electrocardiogram

 

MLH

LUC

Total

(n = 1189)

Case

(n = 131)

Control

(n = 1058)

Total

(n = 194)

Case

(n = 29)

Control

(n = 165)

Mean age at ECG (SD)

70.1 (9.5)

72.6 (8.0)

69.8 (9.6)

71.2 (8.7)

69.8 (8.7)

71.4 (8.8)

Mean age at PD diagnosis (SD)

75.3 (7.7)

75.3 (7.9)

72.3 (8.0)

71.0 (8.8)

Mean years between ECG and PD diagnosis (SD)

2.7 (1.9)

2.7 (1.9)

1.7 (1.0)

1.65 (1.0)

Male n (%)

639 (53.7%)

77 (58.8%)

562 (53.1%)

119 (61.3%)

18 (62.1%)

101 (61.2%)

Race n (%)

 White

753 (63.3%)

86 (65.7%)

667 (63.0%)

149 (76.8%)

23 (79.3)

126 (76.4)

 Black or African American

412 (34.7%)

41 (31.3%)

371 (35.1%)

22 (11.3%)

3 (10.4)

19 (11.5)

 Multiple

10 (0.8%)

0 (0%)

10 (1.0%)

0 (0%)

0 (0%)

0 (0%)

 Other/unknown

5 (0.4%)

2 (1.5%)

3 (0.3%)

19 (9.8%)

3 (10.4)

16 (9.7)

 Asian

8 (0.7%)

2 (1.5%)

6 (0.6%)

4 (2.1%)

0 (0.0%)

4 (2.4%)

 Amer. Ind/Alaska Native

1 (0.1%)

0 (0%)

1 (0.1%)

0 (0%)

0 (0%)

0 (0%)

  1. MLH, University of Tennessee-Methodist Le Bonheur Healthcare; LUC, Loyola University, Chicago.