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血脂指标对乙型肝炎相关慢加急性肝衰竭前期进展的预测价值

官敏 李嘉妮 高银杰 李浩 王孝平 汤善宏

引用本文:
Citation:

血脂指标对乙型肝炎相关慢加急性肝衰竭前期进展的预测价值

DOI: 10.3969/j.issn.1001-5256.2023.07.009
基金项目: 

四川省卫生健康委员会科研课题 (20PJ180);

中央高校基本科研业务费 (2682021ZTPY022)

伦理学声明:本研究方案于2020年7月9日经西部战区总医院伦理委员会审批,批号:2020ky005。
利益冲突声明:本文不存在任何利益冲突。
作者贡献声明:官敏参与数据收集,数据分析,文章撰写;李嘉妮、高银杰负责拟定写作思路,论文修改;李浩、王孝平负责数据分析;汤善宏负责拟定写作思路,指导撰写文章与最后定稿。
详细信息
    通信作者:

    汤善宏,shanhongtang@163.com (ORCID:0000-0001-6652-2942)

Value of blood lipid parameters in predicting the progression of HBV-related acute-on-chronic pre-liver failure

Research funding: 

Research Project of Sichuan Provincial Health Commission (20PJ180);

Fundamental Research Funds for the Central Universities (2682021ZTPY022)

More Information
  • 摘要:   目的  分析血脂指标在慢加急性肝衰竭前期(pre-ACLF)和慢加急性肝衰竭(ACLF)组间的差异,并探讨患者进展的危险因素。  方法  回顾性分析西部战区总医院2012年1月—2020年12月ACLF组(n=118)和pre-ACLF组(n=44)患者的基线年龄、白蛋白、肌酐、血常规、血脂等指标。计量资料服从正态分布的两组间比较采用成组t检验;计量资料不服从正态分布的两组间比较采用Mann-Whitney U检验。计数资料两组间比较采用χ2检验。通过Logistic二元回归进行多因素分析,筛选独立预测因素。使用受试者工作特征曲线(ROC曲线)比较指标的敏感度和特异度,通过约登指数计算临界值。  结果  比较两组间年龄、肌酐、白蛋白、TBil、INR、ALT、AST、TG、TC、HDL、LDL、WBC和中性粒细胞计数水平的差异,发现ACLF组患者的TC[2.02(1.56~2.37) mmol/L vs 3.01(2.57~3.66) mmol/L,Z=5.411,P<0.001]、HDL[0.40(0.25~0.49) mmol/L vs 0.62(0.47~0.75) mmol/L, Z=4.781, P<0.001]、LDL [1.52(1.22~1.84) mmol/L vs 1.93(1.49~2.36) mmol/L, Z=3.146, P=0.002] 水平显著低于pre-ACLF组,ACLF组患者的TBil[352.13(284.32~ 451.19) μmol/L vs 135.80(112.80~154.68) μmol/L, Z=-9.775, P<0.001]、INR[1.96(1.71~2.51)vs 1.39(1.33~1.44), Z=-9.776, P<0.001]、WBC[6.74(5.07~9.19)×109/L vs 5.04(4.13~7.09)×109/L, Z=-3.985, P<0.001]、中性粒细胞水平[4.67(3.40~7.06)×109/L vs 3.30(2.72~5.01)×109/L, Z=-3.676, P<0.001]显著高于pre-ACLF组,两组间年龄、肌酐、白蛋白、ALT、AST和TG水平无显著差异(P值均>0.05)。进一步通过Logistic回归分析发现TC(OR=0.003, 95%CI:0.000~0.068)、LDL(OR=61.901, 95%CI:3.354~1 142.558)、WBC(OR=3.175, 95%CI:1.097~9.185)具有独立预测价值(P值均<0.05),ROC结果显示TC的AUC为0.852,LDL敏感度为0.887,TC特异度为0.840。  结论  血脂指标在pre-ACLF进展到ACLF过程中下降,提示临床医师需要关注pre-ACLF阶段脂质的变化,并及时调整营养方案。

     

  • 图  1  pre-ACLF组与ACLF组WBC、TC和LDL的ROC曲线

    Figure  1.  ROC curves of the WBC, TC, and LDL between the pre-ACLF and the ACLF groups

    表  1  pre-ACLF组和ACLF组患者基线数据比较

    Table  1.   Comparison of baseline data of patients in the pre-ACLF and ACLF groups

    指标 pre-ACLF组(n=44) ACLF组(n=118) Z P
    年龄(岁) 48.50(36.75~53.75) 46.00(39.75~53.00) 0.228 0.820
    肌酐(μmol/L) 72.00(59.00~86.25) 73.50(63.00~87.25) -0.717 0.473
    白蛋白(g/L) 34.16(28.83~37.83) 31.60(29.28~34.92) 1.423 0.155
    ALT(U/L) 292.70(64.13~1 025.48) 519.55(141.78~1 208.38) -1.514 0.130
    AST(U/L) 266.70(103.68~730.83) 373.70(163.95~1 047.90) -1.703 0.089
    TC(mmol/L) 3.01(2.57~3.66) 2.02(1.56~2.37) 5.411 <0.001
    TG(mmol/L) 1.25(0.88~1.59) 1.10(0.72~1.42) 1.615 0.106
    HDL(mmol/L) 0.62(0.47~0.75) 0.40(0.25~0.49) 4.781 <0.001
    LDL(mmol/L) 1.93(1.49~2.36) 1.52(1.22~1.84) 3.146 0.002
    WBC(×109/L) 5.04(4.13~7.09) 6.74(5.07~9.19) -3.985 <0.001
    中性粒细胞计数(×109/L) 3.30(2.72~5.01) 4.67(3.40~7.06) -3.676 <0.001
    TBil(μmol/L) 135.80(112.80~154.68) 352.13(284.32~451.19) -9.775 <0.001
    INR 1.39(1.33~1.44) 1.96(1.71~2.51) -9.776 <0.001
    下载: 导出CSV

    表  2  pre-ACLF组和ACLF相关指标的Logistic回归结果

    Table  2.   Results of logistic regression of correlation indicators between pre-ACLF and ACLF groups

    变量 单因素分析 多因素分析
    OR 95%CI P OR 95%CI P
    TC(mmol/L) 0.114 0.046~0.284 <0.001 0.003 0.000~0.068 <0.001
    HDL(mmol/L) 0.010 0.001~0.088 <0.001 27.200 0.220~3 360.146 0.179
    LDL(mmol/L) 0.198 0.079~0.495 0.001 61.901 3.354~1 142.558 0.006
    WBC(×109/L) 1.387 1.163~1.654 <0.001 3.175 1.097~9.185 0.033
    中性粒细胞计数(×109/L) 1.399 1.143~1.714 0.001 0.407 0.130~1.276 0.123
    白蛋白(g/L) 0.939 0.880~1.002 0.059
    肌酐(μmol/L) 1.002 0.997~1.008 0.403
    下载: 导出CSV

    表  3  TC、LDL和WBC的预测效能

    Table  3.   Predictive performances of TC, LDL, and WBC

    参数 P AUC 临界值 敏感度 特异度 95%CI
    TC <0.001 0.852 2.455 mmol/L 0.794 0.840 0.760~0.944
    LDL 0.002 0.701 2.060 mmol/L 0.887 0.480 0.574~0.828
    WBC 0.001 0.718 5.885×109/L 0.629 0.760 0.604~0.832
    下载: 导出CSV
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  • 收稿日期:  2022-10-15
  • 录用日期:  2022-11-25
  • 出版日期:  2023-07-20
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