脑动脉粥样硬化危险因素病例对照研究

A Case-control Investigation of Risk Factors of Cerebral Atherosclerosis

目的探讨导致脑动脉硬化发生的相关危险因素。方法选取2014年1月-2016年12月我院收治的128例脑动脉硬化患者(观察组)以及同期于我院60例体检正常者(对照组)作为研究对象,采用回顾性分析法分析所有纳入研究者的临床资料,根据资料结果记录所有纳入研究者的性别、年龄、体重指数、既往史、个人史以及相关临床指标结果,并比较所有纳入研究者其上述资料间的差异,通过非条件单因素及多因素Logistic回归模型分析影响脑动脉硬化的相关因素。结果经非条件单因素Logistic回归模型分析显示2组在年龄、吸烟史、糖尿病史以及TG、FPG、UA和血压比较上均有差异,具有统计学意义(P<0.05);通过非条件多因素Logistic回归模型分析可得,年龄、吸烟、糖尿病以及TG、FPG、UA和血压均为脑动脉粥样硬化的独立危险因素(P<0.05)。结论年龄、吸烟、糖尿病以及TG、FPG、UA和血压均为脑动脉粥样硬化的独立危险因素。

Objective To investigate the risk factors of cerebral arteriosclerosis.Methods A total of 128 patients with cerebral arteriosclerosis（observation group） admitted to our hospital between January 2014 and December 2016 and another 60 patients with normal results of physical examinations（control group） were selected as subjects.The clinical data of each subject was analyzed retrospectively.Gender,age,body mass index,past medical history,personal history,and related clinical outcomes of each participant were recorded according to the results of the data.The difference between the above data was compared between these subjects.Factors that had any effect on cerebral arteriosclerosis were analyzed by the unconditional single factor and multivariate logistic regression model.Results Univariate single factor logistic regression analysis showed that statistically significant difference（P〈0.05） was detected in age,smoking history,diabetes history,TG,FPG,UA and blood pressure between the two groups.Non-conditional multivariate logistic regression model analysis showed that age,smoking,diabetes,TG,FPG,UA and blood pressure were independent risk factors for cerebral atherosclerosis（P〈0.05）.Conclusion Age,smoking,diabetes,TG,FPG,UA and blood pressure are independent risk factors for cerebral atherosclerosis.