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HCV抗病毒持续应答患者发生肝细胞癌的列线图模型构建

谢蕾 顾佳萍

谢蕾, 顾佳萍. HCV抗病毒持续应答患者发生肝细胞癌的列线图模型构建[J]. 中华全科医学, 2025, 23(10): 1697-1700. doi: 10.16766/j.cnki.issn.1674-4152.004208
引用本文: 谢蕾, 顾佳萍. HCV抗病毒持续应答患者发生肝细胞癌的列线图模型构建[J]. 中华全科医学, 2025, 23(10): 1697-1700. doi: 10.16766/j.cnki.issn.1674-4152.004208
XIE Lei, GU Jiaping. Nomogram modeling of hepatocellular carcinoma in patients with sustained HCV antiviral response[J]. Chinese Journal of General Practice, 2025, 23(10): 1697-1700. doi: 10.16766/j.cnki.issn.1674-4152.004208
Citation: XIE Lei, GU Jiaping. Nomogram modeling of hepatocellular carcinoma in patients with sustained HCV antiviral response[J]. Chinese Journal of General Practice, 2025, 23(10): 1697-1700. doi: 10.16766/j.cnki.issn.1674-4152.004208

HCV抗病毒持续应答患者发生肝细胞癌的列线图模型构建

doi: 10.16766/j.cnki.issn.1674-4152.004208
基金项目: 

浙江省医药卫生科技计划项目 2024KY1462

详细信息
    通讯作者:

    谢蕾,E-mail:2423737483@qq.com

  • 中图分类号: R735.7

Nomogram modeling of hepatocellular carcinoma in patients with sustained HCV antiviral response

  • 摘要:   目的  探究影响丙型肝炎病毒(HCV)抗病毒持续应答患者发生肝细胞癌的因素,并以此绘制列线图,为临床该类患者发生肝细胞癌的预防提供更为简便直观的预测工具。  方法  选取2020年6月—2022年6月浙江大学医学院附属第二医院临平院区收治的97例HCV感染患者为研究对象,经过治疗后均达到抗病毒持续应答。对患者进行为期2年的随访,根据随访结果分为发生肝细胞癌组(20例)和未发生肝细胞癌组(77例)。分析HCV抗病毒持续应答患者发生肝细胞癌的影响因素,构建列线图模型,并对模型进行评估和验证。  结果  发生肝细胞癌组患者的年龄、饮酒、糖尿病史、肝硬化、总胆红素(TBIL)、甲胎蛋白(AFP)与未发生肝细胞癌组患者比较,差异均有统计学意义(P < 0.05)。多因素logistic回归分析结果显示,年龄、饮酒、糖尿病史、肝硬化、AFP均为HCV抗病毒持续应答患者发生肝细胞癌的影响因素(P < 0.05)。ROC曲线显示,构建的列线图模型ROC曲线下面积为0.862(95% CI:0.805~0.939),Hosmer-Lemeshow检验结果显示,χ2=5.028,P=0.670。  结论  HCV抗病毒持续应答患者发生肝细胞癌与年龄、饮酒、糖尿病史、肝硬化、AFP等有关,基于以上因素构建的列线图模型具有较好的准确度和一致性。

     

  • 图  1  HCV抗病毒持续应答患者发生肝细胞癌的列线图模型

    Figure  1.  A nomogram model of hepatocellular carcinoma in patients with sustained HCV antiviral response

    图  2  HCV抗病毒持续应答患者发生肝细胞癌列线图模型的ROC曲线分析

    Figure  2.  ROC curve analysis of the nomogram model of hepatocellular carcinoma in patients with sustained HCV antiviral response

    图  3  列线图模型预测HCV抗病毒持续应答患者发生肝细胞癌的矫正曲线

    Figure  3.  Calibration curve of the nomogram for assessing hepatocellular carcinoma prediction in patients with sustained HCV antiviral response

    表  1  2组HCV患者一般资料比较

    Table  1.   Comparison of general data in HCV patients between two groups

    项目 发生肝细胞癌组(n=20) 未发生肝细胞癌组(n=77) 统计量 P
    年龄(x±s,岁) 60.25±5.31 55.64±5.02 3.616a <0.001
    性别[例(%)] 0.292b 0.589
        男性 12(60.00) 41(53.25)
        女性 8(40.00) 36(46.75)
    吸烟[例(%)] 1.753b 0.186
        是 5(25.00) 10(12.99)
        否 15(75.00) 67(87.01)
    饮酒[例(%)] 6.264b 0.012
        是 7(35.00) 9(11.69)
        否 13(65.00) 68(88.31)
    糖尿病史[例(%)] 7.576b 0.006
        是 12(60.00) 21(27.27)
        否 8(40.00) 56(72.73)
    高血压史[例(%)] 1.121b 0.290
        是 7(35.00) 18(23.38)
        否 13(65.00) 59(76.62)
    冠心病史[例(%)] 1.353b 0.245
        是 9(45.00) 24(31.17)
        否 11(55.00) 53(68.83)
    肝病家族史[例(%)] 1.355b 0.244
        是 6(30.00) 14(18.18)
        否 14(70.00) 63(81.82)
    肝硬化[例(%)] 13.636b <0.001
        是 11(55.00) 12(15.58)
        否 9(45.00) 65(84.42)
    Child-Pugh分级[例(%)] 0.336b 0.562
        A级 17(85.00) 69(89.61)
        B级 3(15.00) 8(10.39)
    实验室指标
        HGB(x±s,g/L) 134.62±15.30 130.58±15.64 1.034a 0.304
        ALB(x±s,g/L) 45.62±6.78 45.07±6.38 0.339a 0.735
        PLT(x±s,×109/L) 125.88±10.54 123.23±10.15 1.032a 0.305
        TBIL(x±s,μmol/L) 25.26±5.49 22.41±5.22 2.153a 0.034
        Cr(x±s,μmol/L) 66.57±11.95 66.33±11.63 0.082a 0.935
        ALT(x±s,U/L) 46.85±7.65 46.36±7.19 0.268a 0.789
        AST(x±s,U/L) 37.64±6.20 38.22±6.87 0.343a 0.732
        AFP(x±s,ng/mL) 7.69±1.67 4.85±1.15 8.902a <0.001
    注:at值,b为χ2值。
    下载: 导出CSV

    表  2  变量赋值情况

    Table  2.   Variable assignment

    变量 赋值方法
    年龄 连续变量,以实际值赋值
    饮酒 否=1,是=2
    糖尿病史 否=1,是=2
    肝硬化 否=1,是=2
    TBIL 连续变量,以实际值赋值
    AFP 连续变量,以实际值赋值
    下载: 导出CSV

    表  3  HCV抗病毒持续应答患者发生肝细胞癌影响因素的多因素logistic分析

    Table  3.   Multivariate logistic analysis of factors influencing hepatocellular carcinoma in patients with sustained antiviral response to HCV

    变量 B SE Waldχ2 P OR 95% CI
    年龄 0.897 0.348 6.644 <0.001 2.452 1.215~3.689
    饮酒 0.728 0.258 7.962 <0.001 2.071 1.489~2.653
    糖尿病史 0.944 0.399 5.598 <0.001 2.570 1.877~3.263
    肝硬化 1.285 0.457 7.906 <0.001 3.615 2.298~4.931
    TBIL 0.689 0.572 1.451 0.429 0.502 0.318~0.686
    AFP 1.397 0.604 5.350 <0.001 4.043 2.972~5.114
    下载: 导出CSV
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  • 收稿日期:  2024-07-18

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