摘要
目的分析脑梗死合并2型糖尿病颅内外动脉粥样硬化性狭窄的特征。方法回顾分析新乡医学院第一附属医院2014-01—2016-01治疗的174例脑梗死合并2型糖尿病患者的临床资料,所有患者符合2型糖尿病和脑梗死诊断标准,并接受DSA检查,对颅内外动脉粥样硬化性狭窄的特征进行分析。结果颈内动脉颅外段和大脑前动脉是受累较多的血管,且后循环血管闭塞发生率明显低于前循环,颅外血管闭塞发生率明显低于颅内血管(P<0.05)。前后循环血管狭窄情况比较差异有统计学意义(P<0.05)。结论脑梗死合并2型糖尿病患者存在明显的颅内外动脉粥样硬化性狭窄,针对相关危险因素采取相应措施,有助于治疗效果的改善。
Objective To investigate the characteristics and influencing factors of intracranial and extracranial atherosclerotic stenosis in patients with cerebral infarction complicated with type 2 diabetes. Methods The clinical data of 174 patients with cerebral infarction complicated with type 2 diabetes treated by the First Affiliated Hospital of Xinxiang Medical College from January 2014 to January 2016 were retrospectively analyzed.All patients met the diagnostic criteria for type 2 diabetes and cerebral infarction,and received DSA examination.The characteristics and influencing factors of intracranial and extracranial atherosclerotic stenosis were analyzed by regression analysis. Results The extracranial segment of the internal carotid artery and the anterior cerebral artery were involved in many vessels,and the incidence of posterior circulation vascular occlusion was significantly lower than that of the anterior circulation.The incidence of extracranial vascular occlusion was significantly lower than that of intracranial vessels ( P <0.05). There were significant differences in the circulatory stenosis before and after ( P <0.05). Conclusion There are obvious intracranial and extracranial atherosclerotic stenosis in patients with cerebral infarction complicated with type 2 diabetes.Corresponding measures are taken for the related risk factors,which is helpful for the improvement of treatment effect.
作者
白立炜
王迪
尹清风
陈雪辉
徐云
BAI Liwei;WANG Di;YIN Qingfeng;CHEN Xuehui;XU Yun(The First Affiliated Hospital of Xinxiang Medical College,Weihui453000,China)
出处
《中国实用神经疾病杂志》
2019年第3期273-280,共8页
Chinese Journal of Practical Nervous Diseases
关键词
脑梗死
脑卒中
2型糖尿病
动脉粥样硬化性狭窄
影响因素
Cerebral infarction
Stroke
Type 2 diabetes
Atherosclerotic stenosis
Influencing factors