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恶性肿瘤合并静脉血栓栓塞症临床特征分析及预测模型的评估

姚宇婷 许启霞 庞颖颖 周月 王悦悦

姚宇婷, 许启霞, 庞颖颖, 周月, 王悦悦. 恶性肿瘤合并静脉血栓栓塞症临床特征分析及预测模型的评估[J]. 中华全科医学, 2021, 19(5): 723-726, 808. doi: 10.16766/j.cnki.issn.1674-4152.001901
引用本文: 姚宇婷, 许启霞, 庞颖颖, 周月, 王悦悦. 恶性肿瘤合并静脉血栓栓塞症临床特征分析及预测模型的评估[J]. 中华全科医学, 2021, 19(5): 723-726, 808. doi: 10.16766/j.cnki.issn.1674-4152.001901
YAO Yu-ting, XU Qi-xia, PANG Ying-ying, ZHOU Yue, WANG Yue-yue. Analysis of clinical characteristics of malignant tumors complicated with venous thromboembolism and evaluation of predictive models[J]. Chinese Journal of General Practice, 2021, 19(5): 723-726, 808. doi: 10.16766/j.cnki.issn.1674-4152.001901
Citation: YAO Yu-ting, XU Qi-xia, PANG Ying-ying, ZHOU Yue, WANG Yue-yue. Analysis of clinical characteristics of malignant tumors complicated with venous thromboembolism and evaluation of predictive models[J]. Chinese Journal of General Practice, 2021, 19(5): 723-726, 808. doi: 10.16766/j.cnki.issn.1674-4152.001901

恶性肿瘤合并静脉血栓栓塞症临床特征分析及预测模型的评估

doi: 10.16766/j.cnki.issn.1674-4152.001901
基金项目: 

国家“十三五”重点研发计划精准医学专项 2016YFC0905600

详细信息
    通讯作者:

    许启霞,E-mail:xuqixia11@sina.com

  • 中图分类号: R730.231  R543.6

Analysis of clinical characteristics of malignant tumors complicated with venous thromboembolism and evaluation of predictive models

  • 摘要:   目的  探讨恶性肿瘤并发静脉血栓栓塞症(VTE)的临床特征, 验证COMPASS-CAT及Khorana评分的预测价值。   方法  收集2016年1月—2020年1月在蚌埠医学院第一附属医院住院确诊恶性肿瘤合并VTE的患者128例为VTE组,以同期年龄、性别及肿瘤类型相匹配的恶性肿瘤未合并VTE的患者256例为对照组。采用logistic回归模型分析发生VTE的风险因素。比较COMPASS-CAT及Khorana评分的预测价值,并尝试构建一种更为有效的预测模型来指导肿瘤患者的血栓预防。   结果  (1) D-二聚体>0.55 mg/L、中心静脉导管、心血管危险因素是肿瘤发生VTE的高风险因素(均P < 0.05)。(2)COMPASS-CAT评分≥7分在VTE组与对照组中的占比差异有统计学意义(P < 0.001)。COMPASS-CAT评分为高风险患者发生VTE的几率是低风险患者的4.051倍。Khorana评分≥3分在VTE组与对照组中的占比差异无统计学意义(P>0.05)。COMPASS-CAT评分的ROC曲线下面积(AUC)高于Khorana评分(AUC:0.670 vs. 0.583,P < 0.05)。(3)在COMPASS-CAT评分的基础上纳入D-二聚体>3.83 mg/L构建联合预测模型,其AUC为0.879,与COMPASS-CAT评分相比,联合预测模型的AUC增加了0.209,差异有统计学意义(P < 0.001)。   结论  COMPASS-CAT评分能较好地预测肿瘤患者发生VTE的风险,而Khorana评分预测价值有限。将COMPASS-CAT评分和D-二聚体>3.83 mg/L联合构建新预测模型可提高肿瘤相关VTE的预测效能。

     

  • 图  1  COMPASS-CAT、Khorana评分和联合预测模型预测VTE的ROC曲线

    表  1  VTE组和对照组恶性肿瘤患者的临床资料比较[例(%)]

    组别 例数 晚期癌症 癌症确诊时间(≤6个月) 因急性内科疾病住院 心血管危险因素 缺血性脑卒中 冠状动脉疾病 高血压 高脂血症
    VTE组 128 100(78.1) 99(77.3) 6(4.7) 44(34.4) 11(8.6) 9(7.0) 38(29.7) 60(46.9)
    对照组 256 148(57.8) 216(84.4) 6(2.3) 35(13.7) 18(7.0) 4(1.6) 45(17.6) 131(51.2)
    χ2 15.393 2.862 0.871 22.383 0.298 6.220 7.386 0.630
    P < 0.001 0.091 0.351 < 0.001 0.585 0.013 0.007 0.427
    组别 例数 感染 糖尿病 VTE史 中心静脉导管 血小板≥350×109/L 白细胞>11×109/L 血红蛋白 < 100 g/L D-二聚体>0.55 mg/L
    VTE组 128 19(14.8) 15(11.7) 13(10.2) 23(18.0) 25(19.5) 29(22.7) 38(29.7) 122(95.3)
    对照组 256 19(7.4) 21(8.2) 0(0.0) 24(9.4) 21(8.2) 37(14.5) 41(16.0) 160(62.5)
    χ2 5.272 1.241 23.896 5.867 10.385 4.034 9.761 47.099
    P 0.022 0.265 < 0.001 0.015 0.001 0.045 0.002 < 0.001
    注:心血管危险因素是指由以下至少2项预测因素组成,缺血性脑卒中、冠状动脉疾病、高血压、高脂血症、糖尿病、肥胖症的个人病史。
    下载: 导出CSV

    表  2  VTE危险因素的多因素logistic回归分析

    项目 B SE Wald χ2 P OR(95% CI)
    D-二聚体>0.55 mg/L 2.299 0.497 21.414 < 0.001 9.966(3.764~26.391)
    中心静脉导管 0.772 0.370 4.358 0.037 2.164(1.048~4.469)
    心血管危险因素 1.267 0.395 10.272 0.001 3.552(1.636~7.710)
    注:以晚期癌症、存在心血管危险因素、冠状动脉疾病、高血压、感染、VTE史、中心静脉导管、血小板≥350×109/L、血红蛋白 < 100 g/L、白细胞>11×109/L、D-二聚体>0.55 mg/L为自变量,当上述某个自变量存在时,则该自变量赋值为1,若不存在,则赋值为0;以是否发生VTE为因变量,其中发生VTE赋值为1,未发生VTE赋值为0。
    下载: 导出CSV

    表  3  COMPASS-CAT及Khorana评分的比较[例(%)]

    组别 例数 COMPASS-CAT评分 Khorana评分
    高风险(≥7分) 低风险(<7分) 高风险(≥3分) 低风险(<3分)
    VTE组 128 84(65.6) 44(34.4) 21(16.4) 107(83.6)
    对照组 256 82(32.0) 174(68.0) 25(9.8) 231(90.2)
    χ2 39.240 3.569
    P < 0.001 0.059
    下载: 导出CSV
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  • 收稿日期:  2020-11-23
  • 网络出版日期:  2022-02-16

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