Prediction of presence and severity of coronary artery disease using prediction for atherosclerotic cardiovascular disease risk in China scoring system

Table 2 Baseline characteristics of patients with or without coronary artery disease

	Non-CAD	CAD	P value1
Number of patients	3365	3448
Age (yr)	62 (56, 69)	67 (60, 73)	< 0.001
Male, n (%)	1778 (52.8)	2312 (67.1)	< 0.001
Waist circumference	82 (80, 87)	82 (80, 87)	0.026
BMI, kg/m2	24.4 (22.3, 26.7)	24.2 (22.2, 26.3)	< 0.001
Hypertension, n (%)	1660 (49.3)	2261 (65.6)	< 0.001
DM, n (%)	417 (12.4)	841 (24.4)	< 0.001
Smoking, n (%)	501 (14.9)	668 (19.4)	< 0.001
Family history of ASCVD	21 (0.6)	128 (3.7)	< 0.001
EF, n (%)	67.3 (62, 72.2)	67 (61.8, 72.09)	0.071
Glucose, mmol/L	5.46 (4.92, 6.44)	5.72 (5.059, 7.05)	< 0.001
eGFR	93 (81.3, 101.3)	88.34 (74.7, 97.98)	< 0.001
NT-ProBNP	83 (41, 249)	116 (54, 328)	< 0.001
Triglyceride	1.38 (0.99, 1.98)	1.44 (1.03, 2.03)	0.009
TC	4.28 (3.55, 5.06)	4.12 (3.44, 4.98)	< 0.001
LDL-C	2.27 (1.69, 2.88)	2.15 (1.63, 2.83)	0.323
HDL-C	1.11 (0.94, 1.31)	1.05 (0.89, 1.24)	< 0.001
China-PAR	5.4 (3.4, 8.0)	8.2 (5.4, 12.0)	< 0.001
< 5%, n (%)	1497 (44.5)	710 (20.6)	< 0.001
5%-10%, n (%)	1380 (41.0)	1501 (43.5)	< 0.001
> 10%, n (%)	488 (14.5)	1237 (35.9)	< 0.001
Gensini score	2 (0, 5)	26 (16, 45)	< 0.001

Values are expressed as the mean ± SD or n (%), median (minimum–maximum).

¹P values from ANOVA or Kruskal–Wallis test as appropriate for continuous variables and with Chi-square test for categorical variables. CAD: Coronary artery disease; BMI: Body mass index; DM: Diabetes mellitus; ASCVD: Atherosclerotic cardiovascular disease; EF: Ejection fraction; eGFR: Epidermal growth factor receptor; LDL-C: Low-density lipoprotein cholesterol; HDL-C: High-density lipoprotein cholesterol; China-PAR: Prediction for atherosclerotic cardiovascular disease risk in China.