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超极速脉搏波技术检测颈动脉硬化程度与原发性高血压视网膜病变程度的相关性

何婧 李明星 李友谊 朱雨洁 罗烨 胡卫中 侯超 陈晓梅

何婧, 李明星, 李友谊, 朱雨洁, 罗烨, 胡卫中, 侯超, 陈晓梅. 超极速脉搏波技术检测颈动脉硬化程度与原发性高血压视网膜病变程度的相关性[J]. 分子影像学杂志, 2021, 44(6): 954-960. doi: 10.12122/j.issn.1674-4500.2021.06.14
引用本文: 何婧, 李明星, 李友谊, 朱雨洁, 罗烨, 胡卫中, 侯超, 陈晓梅. 超极速脉搏波技术检测颈动脉硬化程度与原发性高血压视网膜病变程度的相关性[J]. 分子影像学杂志, 2021, 44(6): 954-960. doi: 10.12122/j.issn.1674-4500.2021.06.14
HE Jing, LI Mingxing, LI Youyi, ZHU Yujie, LUO Ye, HU Weizhong, HOU Chao, CHEN Xiaomei. Correlation between carotid arteriosclerosis by ultrafast pulse wave velocity technology and retinopathy in patients with essential hypertension[J]. Journal of Molecular Imaging, 2021, 44(6): 954-960. doi: 10.12122/j.issn.1674-4500.2021.06.14
Citation: HE Jing, LI Mingxing, LI Youyi, ZHU Yujie, LUO Ye, HU Weizhong, HOU Chao, CHEN Xiaomei. Correlation between carotid arteriosclerosis by ultrafast pulse wave velocity technology and retinopathy in patients with essential hypertension[J]. Journal of Molecular Imaging, 2021, 44(6): 954-960. doi: 10.12122/j.issn.1674-4500.2021.06.14

超极速脉搏波技术检测颈动脉硬化程度与原发性高血压视网膜病变程度的相关性

doi: 10.12122/j.issn.1674-4500.2021.06.14
基金项目: 

泸州市卫生健康委员会2018年科研课题项目 201811

详细信息
    作者简介:

    何婧,硕士,医师,E-mail: hejing9933@163.com

    通讯作者:

    陈晓梅,硕士,副主任医师,E-mail: 602103429@qq.com

Correlation between carotid arteriosclerosis by ultrafast pulse wave velocity technology and retinopathy in patients with essential hypertension

  • 摘要:   目的  探讨超极速脉搏波(UFPWV)技术检测颈动脉硬化程度与原发性高血压视网膜病变程度的相关性分析。  方法  利用UFPWV技术测量120例原发性高血压患者颈动脉内-中膜厚度、收缩开始时脉搏波传导速度(PWV)、收缩结束时PWV,采集患者双眼眼底图像并进行临床分级。收集患者的年龄、性别、高血压病程、血压值、吸烟史、BMI、高密度脂蛋白胆固醇、低密度脂蛋白胆固醇、总胆固醇、甘油三酯、血尿酸、血肌酐和尿素指标。分析以上各因素与眼底改变的相关性及比较UFPWV、颈动脉内-中膜厚度对眼底分级的预测效果。  结果  高血压患者收缩结束时PWV、收缩开始时PWV、颈动脉内-中膜厚度与眼底分级呈正相关(P < 0.001)。多因素Logistic回归分析显示,收缩结束时PWV、收缩开始时PWV和颈动脉内-中膜厚度是高血压视网膜病变的独立预测因子。收缩结束时PWV的预测效果优于收缩开始时PWV、颈动脉内-中膜厚度,差异有统计学意义(P < 0.05)。当收缩结束时PWV大于截断值8.97时,收缩结束时PWV提示高血压视网膜病变严重(P < 0.05)。  结论  原发性高血压患者颈动脉硬化程度与视网膜病变程度具有相关性。UFPWV技术将可能作为临床辅助预测高血压视网膜病变的简便安全、高效准确的诊断指标。

     

  • 图  1  颈总动脉UFPWV采集图

    A: HR Ⅰ级患者左侧颈动脉PWV-BS、PWV-ES分别为6.55 m/s、7.74 m/s; B: HR Ⅱ级患者左侧颈动脉PWV-BS、PWV-ES分别为7.57 m/s、8.59 m/s; C: HR Ⅲ级患者左侧颈动脉PWV-BS、PWV-ES分别为7.40 m/s、9.35 m/s; D: HR Ⅳ级患者左侧颈动脉PWV-BS、PWV-ES分别为9.55 m/s、10.99 m/s.

    Figure  1.  Images of UFPWV collection in common carotid artery.

    图  2  IMT、PWV-BS、PWV-ES预测严重眼底分级ROC曲线

    Figure  2.  ROC curve of IMT, PWV- BS and PWV- ES predicting severe HR classification.

    表  1  HR分级与各变量的相关分析

    Table  1.   Correlation analysis between HR classification and various variables

    变量 rs P
    PWV-BS 0.823 < 0.001
    PWV-ES 0.894 < 0.001
    IMTs 0.727 < 0.001
    年龄 0.168 0.067
    高血压分级 0.820 < 0.001
    高血压病程 0.607 < 0.001
    总胆固醇 0.186 0.042
    甘油三酯 0.219 0.016
    HDL-C 0.071 0.443
    LDL-C -0.014 0.878
    血肌酐 0.224 0.014
    尿素 0.266 0.003
    血尿酸 0.325 < 0.001
    BMI 0.731 < 0.001
    PWV-BS: 收缩期开始时PWV; PWV-ES: 收缩期结束时PWV; IMT: 内-中膜厚度; HDL-C: 高密度脂蛋白胆固醇; LDL-C: 低密度脂蛋白胆固醇.
    下载: 导出CSV

    表  2  性别、吸烟史、饮酒史对HR分级的影响

    Table  2.   The influence of gender, smoking history, and drinking history on HR classification (n)

    变量 正常组(n=18) Ⅰ级(n=19) Ⅱ级(n=23) Ⅲ级(n=29) Ⅳ级(n=31) Z P
    性别 1.687 0.092
      男 10 11 8 17 23
      女 8 8 15 12 8
    吸烟史 4.211 < 0.001
      有 0 3 2 8 15
      无 18 16 21 21 16
    下载: 导出CSV

    表  3  不同眼底分级患者UFPWV比较

    Table  3.   Comparison of UFPWV in patients with different fundus classifications (n=60)

    变量 眼底分级严重 眼底分级非严重+正常 检验值 P
    PWV-BS (m/s) 8.7±1.1 6.6±0.7 7.873 < 0.001
    PWV-ES (m/s) 10.7±1.6 7.6±1.1 10.225 < 0.001
    IMT (cm) 0.08 (0.08, 0.09) 0.06 (0.06, 0.07) 7.718 < 0.001a
    年龄(岁) 55.6±10.3 51.3±9.1 2.432 0.017
    高血压病史(年) 9.5 (6.5, 10.5) 5.0 (3.5, 7.5) 5.598 < 0.001a
    总胆固醇(mmol/L) 4.5±1.4 4.2±1.1 1.441 0.152
    甘油三酯(mmol/L) 1.70 (1.23, 2.19) 1.45 (1.23, 2.07) 1.231 0.218a
    HDL-C(mmol/L) 1.01 (0.86, 1.37) 1.11 (0.78, 1.25) 0.407 0.684a
    LDL-C(mmol/L) 2.30 (1.83, 3.33) 2.54 (1.89, 3.22) 0.344 0.731a
    血肌酐(μmol/L) 66.6 (60.5, 92.2) 63.9 (53.0, 71.0) 2.433 0.015a
    尿素(mmol/L) 6.23 (5.09, 7.16) 5.22 (4.44, 6.52) 2.955 0.003a
    血尿酸(μmol/L) 363.8±92.4 317.4±89.5 2.795 0.006
    BM(I kg/m2 23.5±1.1 21.4±1.3 9.266 < 0.001
    性别(男/女) 40/20 29/31 4.126 0.042b
    吸烟史(年) 23 (38.3) 5 (8.3) 15.093 < 0.001b
    注: a两独立样本秩和检验(Mann-Whitney U检验); b卡方检验.
    下载: 导出CSV

    表  4  HR的多因素logistic回归分析

    Table  4.   Multivariate logistic regression analysis of HR

    变量 B S.E Wald P OR 95% CI
    PWV-BS 1.040 0.340 9.362 0.002 2.829 0.374, 1.707
    PWV-ES 1.629 0.286 32.476 < 0.001 5.099 1.069, 2.189
    IMT 44.921 21.119 4.524 0.033 3.228 3.529, 86.314
    高血压病史 0.110 0.097 1.911 0.167 1.116 -0.046, 0.265
    总胆固醇 0.097 0.197 0.244 0.621 1.102 -0.289, 0.483
    甘油三酯 0.095 0.267 0.127 00.722 1.100 -0.428, 0.617
    血肌酐 -0.003 0.010 0.107 0.743 0.997 -0.024, 0.017
    尿素 0.014 0.129 0.012 0.914 1.014 -0.239, 0.267
    血尿酸 -0.001 0.003 0.165 0.685 0.999 -0.008, 0.005
    BMI 0.953 0.224 18.157 < 0.001 2.593 0.515, 1.391
    吸烟史 -0.097 0.039 6.080 0.014 0.909 -0.173, -0.020
    饮酒史 0.128 0.040 10.161 0.001 1.136 0.049, 0.206
    下载: 导出CSV

    表  5  不同HR分级的PWV对应值

    Table  5.   Corresponding values of PWV for different HR classifications (m/s, Mean±SD)

    指标 正常组(n=18) Ⅰ级(n=19) Ⅱ级(n=23) Ⅲ级(n=29) Ⅳ级(n=31) F P
    PWV-BS 6.11±0.50 6.81±0.70 6.89±0.55 8.01±1.03a 9.30±0.83b 64.157 < 0.001
    PWV-ES 6.50±0.62 7.65±0.60 8.53±0.74 9.80±1.32a 11.51±1.30b 83.723 < 0.001
    aP < 0.05 vs正常组、Ⅰ级、Ⅱ级; bP < 0.05 vs正常组、Ⅰ级、Ⅱ级、Ⅲ级.
    下载: 导出CSV

    表  6  不同指标对HR分级(严重)预测效果

    Table  6.   The effect of different indicators on severe HR classification prediction

    指标 截断点 AUC 敏感度(%) 特异性(%) 约登指数
    IMT (cm) > 0.07 0.903 (0.835, 0.949) 90.0 (79.5, 96.2) 83.3 (71.5, 91.7) 0.733
    PWV-BS (m/s) > 8.00 0.869 (0.795, 0.923) 75.0 (62.1, 85.3) 88.3 (77.4, 95.2) 0.633
    PWV-ES (m/s) > 8.97 0.955 (0.901, 0.984) 91.7 (81.6, 97.2) 88.3 (77.4, 95.2) 0.867
    下载: 导出CSV
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