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血浆置换与双重血浆分子吸附系统单用或联合使用治疗HBV相关慢加急性肝衰竭患者预后预测模型的建立与评估

黄贝贝 宁玲 李文渊 郑晓玮 张玥 江守伟 张振华 李磊

引用本文:
Citation:

血浆置换与双重血浆分子吸附系统单用或联合使用治疗HBV相关慢加急性肝衰竭患者预后预测模型的建立与评估

DOI: 10.3969/j.issn.1001-5256.2021.12.015
基金项目: 

安徽省自然科学基金资助项目 (1208085QH147);

北京肝胆相照公益基金会人工肝专项基金课题 (RGGJJ-2021-002)

详细信息
    通信作者:

    李磊,lilei0403@163.com

  • 中图分类号: R575.3

Establishment of a predictive model for the prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure treated with plasma exchange and double plasma molecular adsorption system alone or in combination

Research funding: 

Natural Science Foundation of Anhui Province (1208085QH147);

Artificial liver support system Special Fund project of Beijing Hepatology Charity Foundation (RGGJJ-2021-002)

  • 摘要:   目的  观察采用血浆置换(PE)与双重血浆分子吸附系统(DPMAS)单用或联合使用(PE+DPMAS)治疗的HBV感染相关慢加急性肝衰竭(HBV-ACLF)患者的24周生存情况,建立评估患者24周预后的预测模型。  方法  收集2015年1月—2019年12月在安徽医科大学附属省立医院行PE+DPMAS治疗的133例HBV-ACLF患者的临床资料,根据治疗后24周随访生存情况分为生存组(n=71)和死亡组(n=62)。另收集2018年1月—2020年1月在安徽医科大学第二附属医院接受PE+DPMAS治疗的55例HBV-ACLF患者为验证组验证模型效能。收集临床资料包括采用人工肝治疗的模式、性别、年龄、TBil、INR、肌酐(Cr)、血清钠、PLT、Alb,是否有腹水、肝肾综合征、肝性脑病和消化道出血。正态分布的计量资料2组间比较采用t检验,偏态分布的计量资料2组间比较采用Wilcoxon秩和检验; 计数资料组间比较采用χ2检验和Fisher检验;PE+DPMAS治疗的HBV-ACLF患者预后因素分析采用Cox回归分析法,并建立预测模型;绘制受试者工作特征曲线(ROC曲线),采用DeLong法比较新的预测模型与MELD及MELD-Na评分的ROC曲线下面积(AUC)。  结果  治疗后24周建模组共存活71例,死亡62例。Cox回归分析显示年龄(HR=1.030,P=0.013)、TBil(HR=1.018,P<0.001)、INR(HR=1.517,P<0.001)和PLT(HR=0.993,P=0.04)是患者24周生存的独立影响因素。根据Cox回归分析结果建立了行PE+DPMAS治疗的HBV-ACLF患者的预后模型(ATIP)=0.029×年龄(岁)+0.018×TBil(mg/dL)+0.417×INR-0.007×PLT(109/L)。建模组和验证组均显示ATIP模型的预测效能优于MELD和MELD-Na评分(P值均<0.05)。  结论  行PE+DPMAS治疗的HBV-ACLF患者的年龄、TBil、INR和PLT为24周生存的独立影响因素;ATIP模型对行PE+DPMAS治疗的HBV-ACLF患者的24周预后预测效能良好。

     

  • 图  1  不同预后模型预测HBV-ACLF患者24周生存的ROC曲线

    注:a,模型组;b,验证组。

    表  1  建模组和验证组患者一般资料比较

    指标 建模组(n=133) 验证组(n=55) 统计值 P
    年龄(岁) 47.89±11.98 51.15±14.83 t=1.575 0.153
    女/男(例) 17/116 11/44 χ2=1.081 0.746
    腹水[例(%)] 85(63.91) 31(56.36) χ2=0.645 0.422
    肝肾综合征[例(%)] 21(15.79) 11(20.00) χ2=0.236 0.627
    肝性脑病[例(%)] 28(21.05) 8(14.55) χ2=0.685 0.408
    消化道出血[例(%)] 9(6.77) 1(1.82) 0.286
    TBil(mg/dL) 23.88(18.92~27.44) 21.8(15.79~26.56) Z=-1.791 0.073
    INR 2.18(1.66~2.72) 1.64(1.51~2.21) Z=-3.20 0.001
    Alb(g/dL) 32.0(29.3~34.7) 32.6(29.8~36.5) Z=-1.416 0.157
    Na(mmol/L) 136(134~139) 137(133~138) Z=-0.983 0.326
    Cr(mg/dL) 0.78(0.66~0.96) 0.61(0.48~0.77) Z=-4.158 <0.001
    PLT(109/L) 89(59~119) 106(56~181) Z=-1.513 0.131
    MELD 24.67(21.00~29.36) 19.23(16.23~26.00) Z=-4.061 <0.001
    MELD-Na 25.66(22.14~31.93) 21.03(16.75~28.16) Z=-3.042 0.002
    ALSS模式[例(%)] χ2=1.600 0.449
      PE 45(33.83) 21(38.18)
      DPMAS 39(29.32) 19(34.55)
      PE+DPMAS 49(36.84) 15(23.27)
    下载: 导出CSV

    表  2  建模组患者24周生存预后的单因素和多因素Cox回归分析

    参数 单因素Cox回归分析 多因素Cox回归分析
    B SE HR(95%CI) P B SE HR(95%CI) P
    年龄 0.044 0.010 1.045(1.025~1.065) <0.001 0.029 0.012 1.030(1.006~1.054) 0.013
    性别 -0.201 0.401 0.818(0.372~1.795) 0.616
    腹水 0.468 0.285 1.597(0.914~2.792) 0.100
    肝肾综合征 0.814 0.291 2.257(1.276~3.995) 0.005
    肝性脑病 0.833 0.273 2.301(1.348~3.928) 0.002
    消化道出血 1.011 0.381 2.749(1.304~5.795) 0.008
    TBil 0.017 0.005 1.017(1.007~1.026) 0.001 0.018 0.005 1.018(1.008~1.028) <0.001
    INR 0.435 0.079 1.546(1.323~1.807) <0.001 0.417 0.109 1.517(1.226~1.877) <0.001
    Alb -0.043 0.020 0.958(0.920~0.997) 0.035
    Na -0.050 0.026 0.952(0.940~1.001) 0.057
    Cr 0.765 0.316 2.149(1.157~3.991) 0.015
    PLT -0.010 0.003 0.990(0.984~0.996) 0.002 -0.007 0.004 0.993(0.986~1.000) 0.040
    ALSS模式
      PE
      DPMAS 0.25653 0.31632 1.292(0.695~2.402) 0.417
      PE+DPMAS 0.05008 0.30897 1.051(0.574~1.926) 0.871
    下载: 导出CSV

    表  3  行PE+DPMAS治疗的HBV-ACLF患者预后评分系统预测价值比较

    模型 建模组 验证组
    灵敏度(%) 特异度(%) cut off值 AUC 95% CI AUC 95% CI
    ATIP 67.74 94.37 0.31 0.863 0.800~0.926 0.768 0.636~0.899
    MELD 69.35 81.69 25.55 0.7771) 0.695~0.858 0.7121) 0.575~0.850
    MELD-Na 77.42 67.61 25.22 0.7681) 0.688~0.849 0.6911) 0.545~0.837
    注:与ATIP比较,1) P<0.05。
    下载: 导出CSV
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