动脉粥样硬化病人动脉弹性与血脂水平的Logistic回归分析

The Logistic Regression Analysis of Arterial Elasticity and Lipid Levels in Patients with Atherosclerosis

目的研究动脉粥样硬化病人动脉弹性与生化指标的相关性。方法选择2014年7月在中国中医科学院广安门医院南区体检者304名,询问病史,测量身高、体重、体重指数(BMI)、血压等,检测血常规、血生化等指标,应用欧姆龙BP-203RPEⅢ动脉硬化检测仪检测体检人群的动脉弹性,根据踝臂脉搏波传导速度(baPWV)分为正常组(117名)与动脉硬化组(187名),比较两组血脂水平;采用二分类非条件Logistic回归及逐步回归分析,探讨血脂水平与动脉硬化的相关性。结果动脉硬化组三酰甘油(TG)、载脂蛋白B(ApoB)水平与正常组比较差异有统计学意义(P<0.05);Pearson相关分析:ApoB与baPWV呈正相关性(r=0.157,P=0.012);总胆固醇(TC)、TG、高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C)、载脂蛋白A1(ApoA1)与baPWV均无相关性。Logistic逐步回归分析:只有ApoB进入了最后的回归方程,回归方程:是否有动脉硬化=-1.97+2.50×ApoB。结论 ApoB是动脉硬化的危险因子,可预测动脉粥样硬化的形成。

Objective To study the correlation of arterial elasticity with biochemical indicators.Methods Three hundreds and four patients in the medical center of the Southern District of Guang’anmen Hospital of China Academy of Chinese Medical Sciences in July 2014 were enrolled.Asking medical history,measuring height,weight,body mass index (BMI),blood pressure,blood routine and biochemical indicators,and applying Omron BP 203RPEⅢ arteriosclerosis arterial elasticity detector to test their arterial elasticity of the crowd,according to brachial ankle pulse wave velocity(baPWV)artery,we divides them into normal group (n =117),atherosclerosis group (n =187).The lipid level was analyze between two groups.The relevance of lipid levels and atherosclerosis was explored using binary logistic regression and stepwise regression analysis.Results There was statistical significance in triglyceride (TG),apolipoprotein B (ApoB)between normal group and atherosclerosis group(P <0.05).Pearson correlation analysis showed that ApoB and BaPWV had positive correlation (r = 0.157,P =0.012).Total cholesterol,TG,high density lipoprotein chol esterol,low density lipoprotein cho lesterol,ApoA1 and BaPWV had no correlation.Logistic regression analysis showed that ApoB into the final regression equation,the regression equation is that are there arteriosclerosis=-1.97+2.50×ApoB.Conclusion ApoB is a risk factor for atherosclerosis,which can predict the formation of atherosclerosis.