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Table 5 Descriptive statistics of the study population – Experiment 3

From: Machine learning prediction of mortality in Acute Myocardial Infarction

  

Overall study sample

Mortality

Total

 

445

32 (7.2%)

Age Group

 < 70

307 (69.0%)

7 (2.3%)

 ≥ 70

138 (31.0%)

25 (18.1%)

Sex

Female

107 (24.0%)

10 (9.3%)

Male

338 (76.0%)

22 (6.5%)

BMI

Excess (≥ 25)

278 (62.5%)

18 (6.5%)

Not excess (< 25)

123 (27.6%)

8 (6.5%)

NA

44 (9.9%)

6 (13.6%)

Symptoms

Asymptomatic

4 (0.9%)

0 (0.0%)

Tiredness

1 (0.2%)

0 (0.0%)

Dyspnea

5 (1.1%)

2 (40.0%)

Chest pain

409 (91.9%)

26 (6.4%)

Cardiac arrest/Sudden death aborted

6 (1.3%)

0 (0.0%)

Syncope

6 (1.3%)

0 (0.0%)

Dizziness

8 (1.8%)

3 (37.5%)

NA

6 (1.3%)

1 (16.7%)

ACS Time

 < 6 h

285 (64.0%)

17 (6.0%)

6 h to 12 h

81 (18.2%)

7 (8.6%)

12 h to 24 h

39 (8.8%)

3 (7.7%)

 < 7 days

25 (5.6%)

3 (12.0%)

 < 15 days

3 (0.7%)

0 (0.0%)

Unknown

1 (0.2%)

0 (0.0%)

NA

11 (2.5%)

2 (18.2%)

Heart Rate

AVB 2nd degree, Mobitz I

2 (0.4%)

1 (50.0%)

AVB 2nd degree, Mobitz II

1 (0.2%)

0 (0.0%)

AVB 3rd degree

3 (0.7%)

2 (66.7%)

Atrial fibrillation

18 (4.0%)

4 (22.2%)

Pacing

6 (1.3%)

0 (0.0%)

Junctional rhythm

1 (0.2%)

1 (100.0%)

Sinus rhythm

389 (87.4%)

24 (6.2%)

NA

25 (5.6%)

0 (0.0%)

N. º of Segments with Injury

1

126 (28.3%)

5 (4.0%)

2

107 (24.0%)

6 (5.6%)

3

79 (17.8%)

4 (5.1%)

4

51 (11.5%)

4 (7.8%)

5

33 (7.4%)

3 (9.1%)

6

24 (5.4%)

6 (25.0%)

7

15 (3.4%)

2 (13.3%)

8

5 (1.1%)

2 (40.0%)

9

1 (0.2%)

0 (0.0%)

10

4 (0.9%)

0 (0.0%)