超重和非超重人群颈动脉斑块特征的比较研究

章佳, 赵亚超, 王飞, 等. 超重和非超重人群颈动脉斑块特征的比较研究[J]. 临床心血管病杂志, 2022, 38(10): 828-833. doi: 10.13201/j.issn.1001-1439.2022.10.014
引用本文: 章佳, 赵亚超, 王飞, 等. 超重和非超重人群颈动脉斑块特征的比较研究[J]. 临床心血管病杂志, 2022, 38(10): 828-833. doi: 10.13201/j.issn.1001-1439.2022.10.014
ZHANG Jia, ZHAO Yachao, WANG Fei, et al. A comparative study on the characteristics of carotid plaques in overweight and non-overweight people[J]. J Clin Cardiol, 2022, 38(10): 828-833. doi: 10.13201/j.issn.1001-1439.2022.10.014
Citation: ZHANG Jia, ZHAO Yachao, WANG Fei, et al. A comparative study on the characteristics of carotid plaques in overweight and non-overweight people[J]. J Clin Cardiol, 2022, 38(10): 828-833. doi: 10.13201/j.issn.1001-1439.2022.10.014

超重和非超重人群颈动脉斑块特征的比较研究

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A comparative study on the characteristics of carotid plaques in overweight and non-overweight people

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  • 目的 比较超重和非超重人群颈动脉粥样硬化斑块之间不同的病理特征,探索BMI水平和斑块特征的关系。方法 入选患者80例,根据体重指数(BMI)分为超重/肥胖组(40例)和正常/偏瘦组(40例)。收集入选者一般临床资料及血清学指标,对斑块进行组织病理学检查。结果 超重/肥胖组斑块平滑肌细胞、钙化中重度染色比例显著低于正常/偏瘦组(P < 0.05);2组患者斑块在巨噬细胞、胶原纤维、斑块内出血、脂核大小上差异无统计学意义(P>0.05)。超重/肥胖组斑块新生血管密度显著高于正常/偏瘦组(P < 0.05)。BMI水平与斑块内新生血管密度存在正相关(r=0.240,P < 0.05),BMI为斑块钙化的独立保护因素(P < 0.05)。超重/肥胖组斑块易损指数显著高于正常/偏瘦组(P < 0.05),BMI与斑块易损指数呈显著正相关(r=0.267,P < 0.05)。结论 超重人群颈动脉粥样硬化严重狭窄部位斑块钙化程度低,新生血管密度高,超重人群斑块比非超重人群斑块易损指数更高。
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  • 图 1  病理学显微图像

    Figure 1.  Pathological images of plaques under microscope

    图 2  2组斑块易损指数比较

    Figure 2.  Comparison of plaque vulnerability index between the two groups

    图 3  BMI和新生血管密度相关分析散点图

    Figure 3.  Correlation analysis of BMI and neovascularization density

    图 4  BMI和易损指数相关分析散点图

    Figure 4.  Correlation analysis of BMI and vulnerability index

    表 1  2组一般资料比较

    Table 1.  Comparison of general data between the two groups  例(%), X±S, M(P25, P75)

    项目 超重/肥胖(40例) 正常/偏瘦(40例) P
    年龄/岁 64.73±7.07 66.33±7.58 0.332
    男性 35(87.5) 35(87.5) 1.000
    BMI/(kg·m-2) 27.37±1.66 22.17±1.50 0.000
    有症状 23(57.5) 20(50.0) 0.501
    高血压史 37(92.5) 21(52.5) 0.000
    糖尿病史 10(25.0) 8(20.0) 0.592
    血脂异常史 35(87.5) 30(75.0) 0.152
    冠心病史 16(40.0) 11(27.5) 0.237
    吸烟史 22(56.4) 24(60.0) 0.746
    饮酒史 22(56.4) 18(45.0) 0.311
    他汀类药物 28(70.0) 23(57.5) 0.245
    阿司匹林/氯吡格雷 34(85.0) 27(67.5) 0.066
    TC/(mmol·L-1) 3.64±0.82 3.54±0.71 0.571
    TG/(mmol·L-1) 1.41(1.04,1.71) 1.03(0.90,1.38) 0.007
    HDL-C/(mmol·L-1) 1.02±0.28 1.11±0.27 0.162
    LDL-C/(mmol·L-1) 2.05±0.57 1.91±0.53 0.251
    sdLDL-C/(mmol·L-1) 0.55(0.41,0.76) 0.37(0.32,0.63) 0.004
    FPG/(mmol·L-1) 5.71±1.20 5.32±1.04 0.134
    BUN/(mmol·L-1) 5.51±1.20 5.58±1.82 0.846
    Cr/(μmol·L-1) 73.65±11.30 76.13±19.17 0.484
    Hcy/(μmol·L-1) 12.75(10.35,16.23) 14.50(10.60,17.20) 0.757
    UA/(μmol·L-1) 350.71±84.56 317.97±77.75 0.081
    下载: 导出CSV

    表 2  2组斑块特征比较

    Table 2.  Comparison of plaque characteristics between the two groups  例(%), X±S, M(P25, P75)

    项目 超重/肥胖(40例) 正常/偏瘦(40例) P
    巨噬细胞 0.653
      无/轻度 17(42.5) 19(47.5)
      中/重度 23(57.5) 21(52.5)
    平滑肌细胞 0.044
      无/轻度 23(57.5) 14(35.0)
      中/重度 17(42.5) 26(65.0)
    胶原纤维 0.592
      无/轻度 10(25.0) 8(20.0)
      中/重度 30(75.0) 32(80.0)
    钙化 0.041
      无/轻度 28(70.0) 19(47.5)
      中/重度 12(30.0) 21(52.5)
    斑块内出血 0.633
      无 26(65.0) 28(70.0)
      有 14(35.0) 12(30.0)
    脂核大小 0.361
      ≤10% 14(35.0) 18(45.0)
       > 10% 26(65.0) 22(55.0)
    巨噬细胞含量/% 0.62(0.27,0.99) 0.45(0.17,0.97) 0.398
    平滑肌细胞含量/% 4.81±2.79 5.40±2.38 0.328
    胶原纤维含量/% 37.79±16.80 38.53±16.62 0.845
    新生血管密度/(个·热点-1) 7.32±3.93 5.52±3.00 0.024
    下载: 导出CSV

    表 3  斑块钙化的单因素logistic回归模型

    Table 3.  Univariate logistic regression analysis of calcification

    因素 标准回归系数 OR 95% CI P
    年龄 0.049 1.050 0.985~1.120 0.134
    BMI -0.176 0.839 0.716~0.983 0.029
    吸烟史 -0.168 0.845 0.340~2.098 0.717
    饮酒史 -0.269 0.764 0.312~1.873 0.556
    他汀类药物 -0.216 0.806 0.317~2.047 0.650
    TC -0.239 0.787 0.431~1.438 0.437
    TG 0.160 1.173 0.575~2.396 0.661
    HDL-C 0.123 1.130 0.222~5.744 0.882
    LDL-C -0.648 0.523 0.221~1.237 0.140
    sdLDL-C -0.348 0.706 0.131~3.808 0.686
    FPG -0.140 0.869 0.573~1.318 0.509
    BUN 0.275 1.317 0.960~1.807 0.088
    Cr 0.047 1.048 1.011~1.086 0.011
    Hcy 0.014 1.014 0.955~1.076 0.654
    UA 0.003 1.003 0.997~1.008 0.364
    下载: 导出CSV

    表 4  钙化的多因素logistic回归模型

    Table 4.  Multivariate logistic regression analysis of calcification

    因素 标准回归系数 OR 95% CI P
    BMI -0.188 0.828 0.701~0.979 0.027
    Cr 0.049 1.051 1.012~1.091 0.010
    下载: 导出CSV
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收稿日期:  2022-05-01
刊出日期:  2022-10-13

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