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Table 2 Characteristics of the recruited patients

From: Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection

 

No MACE within 72 h

MACE within 72 h

 

(N = 673)

(N = 29)

Mean age (SD)

60.6 (13.0)

61.0 (11.6)

Male gender

445 (66.1)

18 (62.1)

Race

  

Chinese

434 (64.5)

20 (69.0)

Malay

132 (19.6)

6 (20.7)

Indian

89 (13.2)

2 (6.9)

Others

18 (2.7)

1 (3.4)

Medical history

  

Ischemic heart disease

292 (43.4)

10 (34.5)

Diabetes

241 (35.8)

13 (44.8)

Hypertension

432 (64.2)

17 (58.6)

Dyslipidemia

403 (59.9)

13 (44.8)

Stroke

50 (7.4)

3 (10.3)

Cancer

28 (4.2)

1 (3.4)

Chronic renal failure

79 (11.7)

9 (31.0)

Congestive heart failure

37 (5.5)

3 (10.3)

Respiratory disease

18 (2.7)

0 (0.0)

Myocardial infarction

96 (14.3)

6 (20.7)

PCI

149 (22.1)

4 (13.8)

CABG

62 (9.2)

1 (3.4)

  1. Data are shown as numbers (%) unless otherwise stated.
  2. MACE: major adverse cardiac events; PCI: percutaneous coronary intervention; CABG: coronary artery bypass graft.