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Table 1 Baseline characteristics of the study population

From: Predictive value of CAC score combined with clinical features for obstructive coronary heart disease on coronary computed tomography angiography: a machine learning method

 

Total (n = 1906)

Age, years

57.4 ± 14.53

Male, n (%)

1041 (54.6)

Hypertention, n (%)

914 (48.0)

Diabetes mellitus, n (%)

498 (26.1)

Current smoker, n (%)

551 (28.9)

TC (mmol/L)

4.79 ± 1.05

TG (mmol/L)

1.40 (1.02–2.03)

HDL-C (mmol/L)

1.10 (0.93–1.31)

LDL-C (mmol/L)

2.63 ± 0.72

Serum creatinine, (µmol/L)

65.0 (54.0–78.0)

LVEF, %

57.81 ± 4.92

OCAD, n (%)

313 (16.4)

CACS, AU

3.35 (0.00–109.63)

CACS (n = 1906)

 

 0

850 (44.5)

 1–99

563 (29.5)

 100–399

275 (14.4)

  ≥ 400

218 (11.4)

  1. Values are presented as mean ± SD, median (25th–75th percentiles) or n (%)
  2. TC, total cholesterol; TG, triglyceride; HDL-C, high density lipoprotein cholesterol; LDL-C, low density lipoprotein cholesterol; LVEF, left ventricular ejection fraction; CACS, coronary artery calcium score; OCAD, obstructive coronary artery disease