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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.