To test the extra predictive value of PCSK9, we added PCSK9 levels to the models containing established risk factors for MACEs, including all variables with P < 0.10 in the univariable logistic regression (i.e., age, sex, body mass index, hypertension, smoking status, LVEF, TIMI score, coronary artery lesions, total cholesterol, HbA1c, leukocyte count, hemoglobin, platelet count, estimated glomerular filtration rate, hs-CRP and fibrinogen). The gene discussed is PCSK9; the disease is Hypertension.