颈股脉搏波传导速度与冠状动脉病变程度的相关性
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(兰州大学第一医院心内科,甘肃省兰州市 730000)

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张翔,硕士,研究方向为冠心病诊断与治疗、动脉硬化与临床,E-mail为zhangx09@163.com。康宏,硕士,副主任医师,研究方向为冠心病介入治疗,E-mail为kanghongg@126.com。

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The Correlation Between Carotid-femoral Pulse Wave Velocity and Severity of Coronary Artery Lesions
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Department of Cardiology, the First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China)

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    摘要:

    目的 评价颈股脉搏波传导速度(cfPWV)与冠状动脉病变程度(Gensini评分)之间的相关性及预测价值。方法 收集冠状动脉造影(CAG)患者232例,根据CAG结果和Gensini评分分为对照组、低分组和高分组。采集其基本信息、实验室指标、超声及造影等资料。比较各组一般资料的差异。多因素分析采用Linear回归模型。采用受试者工作特征曲线(ROC)评价cfPWV对Gensini评分≥30分的预测价值。结果(1)低分组与对照组之间年龄、性别、高血压病史、高血脂病史、总胆固醇、心肌缺血、cfPWV、颈动脉内膜中膜厚度(IMT)、Gensini评分存在统计学差异(P<0.05)。高分组与对照组之间吸烟史、糖尿病史、体质指数(BMI)、收缩压(SBP)、空腹血糖(FBG)、甘油三酯、低密度脂蛋白胆固醇(LDLC)、同型半胱氨酸(Hcy)、踝臂指数(ABI)、斑块指数(PI)存在统计学差异(P<0.05)。高分组与低分组之间年龄、吸烟史、饮酒史、糖尿病史、BMI、SBP、FBG、LDLC、Hcy、心肌缺血、cfPWV、ABI、IMT、PI、Gensini评分存在统计学差异(P<0.05)。(2)Linear回归模型显示,cfPWV、IMT、BMI、ABI、Hcy、高血压病史都是影响Gensini评分的独立因素。(3)以cfPWV水平所绘制的ROC曲线下面积为0.834(95%CI:0.783~0.885,P<0.001),cfPWV预测Gensini评分≥30分的最佳界值是12.2m/s(敏感度87.8%,特异度72.7%)。结论 cfPWV与冠状动脉病变程度明显相关,其对于预测冠状动脉病变严重程度具有一定价值。

    Abstract:

    Aim To evaluate the correlation between carotid-femoral pulse wave velocity(cfPWV) and the severity of coronary artery lesion(Gensini score) and the predictive value. Methods According to the results of coronary angiography and Gensini score, 232 cases were divided into three groups:control group, low score group and high score group. The basic information, laboratory indexes, ultrasound and imaging data were collected. The differences of general data were compared in each group. Linear regression model was used for multivariate analysis. The predictive value of cfPWV to more than 30 points of Gensini score was evaluated by using receiver operating characteristic curve(ROC). Results (1)There were significant differences in age, gender, hypertension history, hyperlipidemia history, total cholesterol, myocardial ischemia, cfPWV, carotid intima-media thickness(IMT), Gensini score between low score group and control group(P<0.05). There were significant differences in smoking history, diabetes history, body mass index(BMI), systolic blood pressure(SBP), fasting blood glucose(FBG), triglyceride, low density lipoprotein cholesterol(LDLC), homocysteine(Hcy), ankle-brachial index(ABI), plaque index(PI) between high score group and control group(P<0.05). There were significant differences in age, smoking history, drinking history, diabetes history, BMI, SBP, FBG, LDLC, Hcy, myocardial ischemia, cfPWV, ABI, IMT, PI, Gensini score between high score group and low score group(P<0.05).(2)Linear regression model showed that cfPWV, IMT, BMI, ABI, Hcy and hypertension history were the independent factors affecting Gensini scores.(3)The area under the ROC curve drawn by cfPWV level was 0.834(95%CI:0.783-0.885, P<0.001), and the optimal boundary value of cfPWV in predicting more than 30 points of Gensini score was 12.2 m/s(sensitivity was 87.8%, specificity was 72.7%). Conclusion The cfPWV is significantly correlated with the severity of coronary artery lesion, and it has a certain value in predicting the severity of coronary artery disease.

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张翔,康宏,路宁,党林林,姚亚丽.颈股脉搏波传导速度与冠状动脉病变程度的相关性[J].中国动脉硬化杂志,2016,24(6):615~619.

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  • 收稿日期:2015-10-10
  • 最后修改日期:2015-12-15
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  • 在线发布日期: 2016-06-30