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. 2020 Jan 10;2020:6786302. doi: 10.1155/2020/6786302

Table 3.

Multivariable Cox regression analysis for predicting cardiovascular adverse events.

Variables Univariable Multivariable
HR 95% CI P value HR 95% CI P value
Male 0.899 0.495–1.633 0.727
Age 0.983 0.949–1.018 0.339
Hypertension 2.831 1.318–6.080 0.008∗∗ 2.435 1.130–5.248 0.023
Diabetes mellitus 1.403 0.695–2.833 0.345
Smoking 0.654 0.360–1.187 0.162
LVEF 0.954 0.914–0.996 0.033 0.956 0.914–1.000 0.048
CK-MB 0.996 0.980–1.011 0.591
Creatinine 1.010 0.979–1.042 0.537
LDL-c 0.049 0.000–1387212.1 0.762
PCI 0.619 0.345–1.110 0.107
Gensini score 1.006 1.002–1.009 0.001∗∗ 1.006 1.002–1.009 0.002∗∗
Low VEGF 0.522 0.284–0.962 0.037 0.531 0.286–0.985 0.048

Variables were brought into multivariable analysis (P < 0.1). HR: hazard ratio; CI: confidence interval. P < 0.05; ∗∗P < 0.01. LVEF: left ventricular ejection fraction; CK-MB: creatine kinase-MB; LDL-c: low-density lipoprotein cholesterol; PCI: percutaneous coronary intervention; VEGF: vascular endothelial growth factor.