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. 2023 Apr 4;23:181. doi: 10.1186/s12872-023-03193-z

Table 2.

Univariate and multivariate COX regression analysis for predicting MACCEs

Variables Univariate HR(95% CI) P Multivariate HR (95% CI) P value
Age, years 1.026 (1.013–1.038) 0.001 1.015 (1.001–1.028) 0.03
LDL-C 1.091 (0.950–1.253) 0.219
SBP 1.002 (0.995–1.009) 0.537
DBP 1.001 (0.990–1.013) 0.844
Creatinine,µmol/L 1.001(0.999–1.004) 0.288
eGFR, mL/min/1.73 m2 0.996(0.993–1.000) 0.059
FBG, mmol/L 1.055(1.017–1.095) 0.005 1.043(1.006–1.083) 0.024
TG, mmol/L 0.986(0.940–1.034) 0.561
FAR 1.475(1.139–1.910) 0.003 1.355(1.042–1.763) 0.023
CACS 1.572(1.347–1.835) 0.001 1.470(1.250–1.7727)  < 0.001
Aspirin 0.884 (0.683–1.144) 0.350
β-blocker 0.856 (0.641–1.144) 0.293
ACEI/ARB 0.564 (0.401–0.793) 0.001 0.575 (0.409–0.808) 0.001
Statins 0.846 (0.654–1.093) 0.846
CCB 0.469 (0.330–0.666)  < 0.001 0.469 (0.330–0.667)  < 0.001

Adjust variables were Age, FBG, FAR, CACS, ACEI/ARB, and CCB

FAR fibrinogen-to-albumin ratio, FBG fasting blood glucose, TG triglyceride, eGFR estimated glomerular filtration rate, CACS Coronary calcification score, ACEI angiotensin converting enzyme inhibitors, ARB angiotensin receptor blockers, CCB calcium-channel blocker