摘要
目的:探讨代谢综合征(MS)患者臂踝脉搏波传播速度(baPWV)与颈动脉粥样硬化(CAS)的关系。方法:选取350例MS患者作为研究对象,根据颈动脉超声结果将研究对象分为正常组、内膜增厚组和斑块组。比较分析各组一般资料、生化指标、baPWV及内-中膜厚度(IMT)。结果:斑块组和内膜增厚组年龄、TG、HOMA-IR、baPWV显著高于正常组(P<0.05),斑块组的年龄、baPWV高于内膜增厚组(P<0.05)。代谢异常成分聚集越多,HOMA-IR、baPWV越高(P<0.05或P<0.01)。多元线性回归分析显示年龄、收缩压、HOMA-IR、总胆固醇、IMT是baPWV的影响因素(P<0.05或P<0.01)。baPWV诊断MS患者合并颈动脉粥样硬化病变的ROC曲线下面积为0.673,具有诊断效能。结论:MS合并颈动脉粥样硬化者baPWV较无颈动脉粥样硬化者明显升高,并随颈动脉粥样硬化病变程度加重而升高。baPWV可作为评估MS患者颈动脉粥样硬化的有效检查手段。
Objective:To investigate the correlation between brachial-ankle pulse wave velocity(baPWV)and carotid atherosclerosis(CAS)in patients with metabolic syndrome(MS).Methods:350 patients with MS were divided into normal group,intimal thickening group and plaque group according to the results of carotid ultrasonography.The general data,biochemical parameters,baPWV and intima-media thickness(IMT)of each group were compared and analyzed.Results:The age,TG,HOMA-IR and baPWV in the plaque group and the intimal thickening group were significantly higher than those in the normal group(P<0.05),and the age and baPWV in the plaque group were higher than those in the intimal thickening group(P<0.05).The more metabolic abnormal components accumulated,the higher HOMA-IR and baPWV(P<0.05 or P<0.01).Multiple linear regression analysis showed that age,systolic blood pressure,HOMA-IR,total cholesterol,and IMT were all the influencing factors of baPWV(P<0.05 or P<0.01).The area under the ROC curve of baPWV for the diagnosis of CAS lesions in MS patients was 0.673,which had diagnostic efficacy.Conclusion:baPWV is significantly higher in MS patients with CAS than in those without CAS and increases with the severity of CAS lesions.baPWV can be used as an effective test to assess CAS in MS patients.
作者
李悦
夏俊
张敏
赵云娟
吴佳怡
徐朝阳
Li Yue;Xia Jun;Zhang Min;Zhao Yunjuan;Wu Jiayi;Xu Chaoyang(Department of Endocrinology,Affiliated Jiangsu Shengze Hospital of Nanjing Medical University,Suzhou,Jiangsu 215228,China)
出处
《现代临床医学》
2021年第6期408-411,共4页
Journal of Modern Clinical Medicine
基金
苏州市“科教兴卫”青年科技项目(kjxw2018074)
南京医科大学康达学院科研发展基金(KD2018KYJJYB057)。
