女性乳房动脉钙化与冠状动脉CT血管成像诊断冠心病的相关性

胡有森, 刘肖肖, 程兆云, 等. 女性乳房动脉钙化与冠状动脉CT血管成像诊断冠心病的相关性[J]. 临床心血管病杂志, 2022, 38(3): 246-252. doi: 10.13201/j.issn.1001-1439.2022.03.016
引用本文: 胡有森, 刘肖肖, 程兆云, 等. 女性乳房动脉钙化与冠状动脉CT血管成像诊断冠心病的相关性[J]. 临床心血管病杂志, 2022, 38(3): 246-252. doi: 10.13201/j.issn.1001-1439.2022.03.016
HU Yousen, LIU Xiaoxiao, CHENG Zhaoyun, et al. Correlation between breast arterial calcification and coronary heart disease diagnosed by coronary computed tomography angiography in women[J]. J Clin Cardiol, 2022, 38(3): 246-252. doi: 10.13201/j.issn.1001-1439.2022.03.016
Citation: HU Yousen, LIU Xiaoxiao, CHENG Zhaoyun, et al. Correlation between breast arterial calcification and coronary heart disease diagnosed by coronary computed tomography angiography in women[J]. J Clin Cardiol, 2022, 38(3): 246-252. doi: 10.13201/j.issn.1001-1439.2022.03.016

女性乳房动脉钙化与冠状动脉CT血管成像诊断冠心病的相关性

  • 基金项目:
    国家自然科学基金资助项目(No:31970766);河南省医学科技攻关计划项目(No:2018020438);河南省医学科技攻关计划项目(No:2018020456);河南省医学教育研究项目(No:Wjlx2020167)
详细信息

Correlation between breast arterial calcification and coronary heart disease diagnosed by coronary computed tomography angiography in women

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  • 目的 探讨女性经乳腺钼靶X线检查发现的乳房动脉钙化(BAC)与冠状动脉CT血管成像(CCTA)诊断的冠心病之间的相关性,评估BAC在女性人群中对冠心病的诊断价值。方法 收集我院2019年1月—2020年12月行双侧乳腺钼靶X线检查与CCTA且检查间隔不超过6个月的217例女性患者资料,分别使用BAC的4分制法与CAD-RADS评分系统对BAC及冠心病进行量化。比较BAC阳性与BAC阴性、冠心病阳性与冠心病阴性组的一般资料,使用单因素与多因素logistic回归分析研究BAC与冠心病的关系。使用Spearman相关性分析评估BCA分级与CAD-RADS分级的相关性。绘制BAC预测冠心病诊断的ROC曲线,计算曲线下面积,评估BAC对冠心病的诊断价值。结果 冠心病患病率为14.75%(32例),BAC阳性患病率为13.36%(29例)。冠心病组BAC阳性率较非冠心病组高(P < 0.05)。对冠心病影响因素的单因素logistic分析显示,BAC阳性与冠心病相关(OR=13.231,95%CI 5.415~32.326,P < 0.001)。在多因素logistic回归分析中,调整传统的冠心病危险因素后,BAC阳性仍与冠心病显著相关,是冠心病的独立危险因素(OR=8.879,95%CI 2.945~26.765,P < 0.001)。Spearman秩相关分析显示,BAC分级与CAD-RADS分级呈正相关(r=0.404,P < 0.001)。BAC预测冠心病的曲线下面积为0.720,灵敏度、特异度、阳性预测值、阴性预测值、准确率分别为50.00%、92.97%、55.17%、91.49%、86.64%。结论 在女性人群中发现的BAC是冠心病的独立危险因素,BAC严重程度与冠心病的严重程度呈正相关。BAC在女性冠心病中具有一定的诊断价值。
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  • 图 1  BAC的4分制法分级

    Figure 1.  BAC 4-point classification

    图 2  BAC阳性预测冠心病诊断的ROC曲线

    Figure 2.  ROC curve of positive BAC predicting diagnosis of CHD

    表 1  冠心病组与非冠心病组的一般资料比较

    Table 1.  Comparison of general data between positive CHD group and negative CHD group  x±s

    项目 冠心病组(32例) 非冠心病组(185例) t/χ2 P
    年龄/岁 61.75±9.05 55.13±9.29 3.738 < 0.001
    高脂血症/例(%) 14(43.75) 44(23.78) 5.553 0.018
    高血压/例(%) 23(71.88) 33(17.84) 41.606 < 0.001
    糖尿病/例(%) 9(28.13) 20(10.81) 5.647 0.017
    卒中史/例(%) 3(9.38) 9(4.86) 0.374 0.541
    冠心病家族史/例(%) 6(18.75) 9(4.86) 6.159 0.013
    吸烟/例(%) 5(15.63) 4(2.16) 9.282 0.002
    生产次数/次 1.97±0.99 1.65±0.68 1.744 0.090
    已绝经/例(%) 28(87.50) 113(61.08) 8.367 0.004
    BAC阳性/例(%) 16(50.00) 13(7.03) 39.880 < 0.001
    下载: 导出CSV

    表 2  BAC阳性组与BAC阴性组的一般资料比较

    Table 2.  Comparison of general data between positive BAC group and negative BAC group x±s

    项目 BAC阳性(29例) BAC阴性(188例) t/χ2 P
    年龄/岁 62.34±8.18 55.14±9.37 3.913 < 0.001
    高脂血症/例(%) 11(37.93) 47(25.00) 2.145 0.143
    高血压/例(%) 21(72.41) 35(18.62) 37.976 < 0.001
    糖尿病/例(%) 8(27.59) 21(11.17) 4.516 0.034
    卒中史/例(%) 4(13.79) 8(4.26) 2.740 0.098
    冠心病家族史/例(%) 1(3.45) 14(7.45) 0.158 0.691
    吸烟/例(%) 3(10.34) 6(3.19) 1.685 0.194
    生产次数/次 2.55±0.83 1.56±0.63 6.160 < 0.001
    已绝经/例(%) 25(86.21) 116(61.70) 6.630 0.010
    下载: 导出CSV

    表 3  冠心病影响因素的单因素logistic回归分析

    Table 3.  Univariate logistic regression analysis of influencing factors of CHD

    项目 β S Wald χ2 OR 95%CI P
    年龄 0.070 0.020 11.918 1.073 1.031~1.117 0.001
    高脂血症 0.913 0.396 5.319 2.492 1.147~5.416 0.021
    高血压 2.466 0.438 31.751 11.711 4.993~27.751 < 0.001
    糖尿病 1.172 0.459 6.52 3.228 1.313~7.937 0.011
    冠心病家族史 1.507 0.567 7.054 4.513 1.484~13.722 0.008
    吸烟 2.126 0.702 9.175 8.38 2.118~33.161 0.002
    绝经 1.495 0.555 7.248 4.46 1.502~13.046 0.007
    BAC阳性 2.583 0.456 32.106 13.231 5.415~32.326 < 0.001
    下载: 导出CSV

    表 4  冠心病影响因素的多因素logistic回归分析

    Table 4.  Multivariate logistic regression analysis of influencing factors of CHD

    项目 β S Wald χ2 OR 95%CI P
    年龄 0.022 0.036 0.378 0.978 0.913~1.049 0.539
    高脂血症 1.136 0.537 4.471 3.114 1.087~8.924 0.034
    高血压 1.470 0.568 6.689 4.350 1.428~13.253 0.010
    糖尿病 0.208 0.644 0.104 0.812 0.230~2.871 0.747
    冠心病家族史 1.833 0.707 6.726 6.253 1.565~24.988 0.010
    吸烟 2.348 0.991 5.615 10.463 1.500~72.957 0.018
    绝经 0.775 0.817 0.901 2.171 0.438~10.758 0.342
    BAC阳性 2.184 0.563 15.045 8.879 2.945~26.765 < 0.001
    下载: 导出CSV

    表 5  BAC阳性影响因素的单因素logistic回归分析

    Table 5.  univariate logistic regression analysis of influencing factors of positive BAC

    项目 β S Wald χ2 OR 95%CI P
    年龄 0.076 0.021 12.781 1.079 1.035~1.125 < 0.001
    高血压 2.440 0.456 28.665 11.475 4.697~28.035 < 0.001
    糖尿病 1.108 0.476 5.431 3.029 1.193~7.695 0.020
    生产次数 1.860 0.336 30.661 6.425 3.326~12.411 < 0.001
    已绝经 1.356 0.559 5.881 3.879 1.297~11.604 0.015
    下载: 导出CSV

    表 6  BAC阳性影响因素的多因素logistic回归分析

    Table 6.  multivariate logistic regression analysis of influencing factors of positive BAC

    项目 β S Wald χ2 OR 95%CI P
    年龄 0.076 0.036 4.525 1.079 1.006~1.157 0.033
    高血压 1.901 0.566 11.287 6.689 2.207~20.273 0.001
    糖尿病 0.991 0.710 1.947 0.371 0.092~1.493 0.163
    生产次数 1.649 0.352 21.900 5.201 2.607~10.376 < 0.001
    已绝经 0.610 0.860 0.503 0.543 0.101~2.931 0.478
    下载: 导出CSV

    表 7  BAC分级与CAD-RADS分级的关系

    Table 7.  relationship between BAC classification and CAD-RADS classification 

    BAC分级 CAD-RADS分级 总计
    0级 1级 2级 3级 4a级 4b级 5级
    1级 102 11 59 13 3 0 0 188
    2级 3 1 7 6 3 0 0 20
    3级 0 1 1 1 2 1 0 6
    4级 0 0 0 1 2 0 0 3
    总计 105 13 67 21 10 1 0 217
    下载: 导出CSV
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收稿日期:  2021-07-11
刊出日期:  2022-03-13

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