Table 1 Baseline characteristics.

From: Deep neural network-estimated electrocardiographic age as a mortality predictor

 

CODE-15% (n = 218,169)

ELSA-Brasilb (n = 14,263)

SaMi-Tropc (n = 1631)

Characteristicsa

 Sex, male, n (%)

88,508 (41)

6494 (46)

550 (34)

 Age (years), mean (s.d.)

51 (20)

52 (9)

60 (13)

 Hypertension, n (%)

64,767 (30)

5108 (36)

593 (36)

 Diabetes, n (%)

13,720 (6)

2830 (20)

161 (10)

 Smoking, n (%)

13,645 (6)

1882 (13)

498 (31)

 Previous myocardial infarction, n (%)

1553 (0.7)

258 (1.8)

76 (5)

 Follow-up(years), median (IQR)

3.4 (2.1–5.0)

9.8 (8.9–10.0)

2.1 (2.0–2.2)

 Events, n (%)

8110 (3.7)

617 (4.3)

104 (6.4)

  1. The table summarizes the characteristics of the three cohorts analyzed in this study. It includes the baseline characteristics, the summary of follow-up time, and the number of events.
  2. aData are expressed as number (percentage) unless otherwise indicated.
  3. bThere are missing values in variables from the ELSA-Brasil cohort (hypertension, 13; diabetes, 3; smoking, 1; previous myocardial infarction, 7); valid percentages are reported.
  4. cThere are missing values in a variable from the SaMi-Trop cohort (smoking, 6); valid percentages are reported.
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