Regression analyses to assess the severity of coronary atherosclerosis according to fibrinogen tertiles.

Logistic regression analyses are used. Bold values indicate statistical significance. The adjusting known confounders include age, gender, BMI, current smoking, hypertension, family history of CAD, fasting blood glucose, TG, LDL-C, HDL-C and hs-CRP. BMI = Body mass index; CAD = Coronary artery disease; TG = Triglyceride; LDL-C = Low-density lipoprotein-cholesterol; HDL-C = High-density lipoprotein-cholesterol; hs-CRP = High sensitivity C-reactive protein; GS = Gensini score.Regression analyses to assess the severity of coronary atherosclerosis according to fibrinogen tertiles.