Regression analyses to determine the independent predictor of high Gensini Score.

Logistic regression analyses are performed. Bold values indicate statistical significance. Co-variates are included age, gender, BMI, current smoking, hypertension, family history of CAD, fasting blood glucose, TG, LDL-C, HDL-C and hs-CRP. ESR = Erythrocyte sedimentation rate; WBCC = White blood cell count; LP(a) = Lipoprotein(a); LVEF = Left ventricular ejection fraction; HbA1c = Glycosylated hemoglobinA1C; 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.Regression analyses to determine the independent predictor of high Gensini Score.本研究开展了逻辑回归（Logistic regression）分析，其中加粗数值代表具有统计学显著性。本研究纳入的协变量包括年龄、性别、体质量指数（BMI）、当前吸烟状态、高血压、冠状动脉粥样硬化性心脏病（CAD，冠心病）家族史、空腹血糖、甘油三酯（TG）、低密度脂蛋白胆固醇（LDL-C）、高密度脂蛋白胆固醇（HDL-C）以及高敏C反应蛋白（hs-CRP）。本研究涉及的指标缩写及对应全称如下：ESR为红细胞沉降率（Erythrocyte sedimentation rate）；WBCC为白细胞计数（White blood cell count）；LP(a)为脂蛋白(a)（Lipoprotein(a)）；LVEF为左心室射血分数（Left ventricular ejection fraction）；HbA1c为糖化血红蛋白A1c（Glycosylated hemoglobinA1C）；BMI为体质量指数（Body mass index）；CAD为冠状动脉粥样硬化性心脏病（Coronary artery disease）；TG为甘油三酯（Triglyceride）；LDL-C为低密度脂蛋白胆固醇（Low-density lipoprotein-cholesterol）；HDL-C为高密度脂蛋白胆固醇（High-density lipoprotein-cholesterol）；hs-CRP为高敏C反应蛋白（High sensitivity C-reactive protein）。本研究通过回归分析明确高Gensini评分的独立预测因素。