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    • 多种模型预测HBV-ACLF合并IPA患者的短期预后价值分析

    Liang Jiayuan,Wu Xiaoping, Yang Lixia,Cai Tianpan,Wang Liang,Cheng Qiqi,Sun Jun,Liu Liping, Gan Xia,Ruan Ninghang,Ge Shanfei

    Electronic Journal of Emerging Infectious Diseases（2022）

    南昌大学第一附属医院

    Cited 0|Views17
    Abstract
    目的 应用终末期肝病模型(MELD)评分、终末期肝病联合血清钠模型(MELD-Na)评分、慢性肝功能衰竭联盟-器官功能衰竭(CLIF-C OF)评分和慢性肝衰竭联盟-慢加急性肝衰竭预后(CLIF-C ACLF)评分对乙型肝炎病毒相关慢加急性肝衰竭(HBV-ACLF)合并侵袭性肺曲霉病(IPA)患者短期死亡风险进行预测,探讨并比较各种评分系统对HBV-ACLF合并IPA患者短期病死率的预测价值.方法 收集南昌大学第一附属医院感染科2019年1月至2021年12月收治的HBV-ACLF患者的临床资料.根据是否诊断为IPA分为IPA组和非IPA组,随访记录HBV-ACLF患者自诊断后28d的临床转归情况.分别计算MELD评分、MELD-Na评分、CLIF-C OF评分和CLIF-C ACLF评分,应用ROC曲线比较以上评分系统的预测价值.符合正态分布者两组间的比较采用t检验,不符合正态分布者两组间的比较采用Mann-Whitney U检验.结果 在110例患者中,治疗28d死亡36例(32.7％).MELD评分、MELD-Na评分、CLIF-C OF评分和CLIF-C ACLF评分预测HBV-ACLF合并IPA患者28d死亡风险的ROC曲线下面积(AUC)分别为0.77、0.74、0.93和0.89.CLIF-C OF评分的AUC最大,与CLIF-C ACLF评分AUC的比较差异无统计学意义(P>0.05).CLIF-C OF评分、CLIF-C ACLF评分与MELD评分和MELD-Na评分AUC的比较差异均有统计学意义(P<0.05).结论 CLIF-C OF评分和CLIF-C ACLF评分能有效预测ACLF合并IPA患者28d的死亡风险.
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    Key words
    Acute-on-chronic liver failure,Hepatitis B virus,Aspergillus,Prognosis
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    • Pretraining has recently greatly promoted the development of natural language processing (NLP)
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