大理大学学报 ›› 2023, Vol. 8 ›› Issue (2): 36-41.

• 临床医学 • 上一篇    下一篇

酒精性肝病相关慢加急性肝衰竭短期预后的影响因素分析

姚秋艳1,2,吴泽生2,施荣杰2,杨理伟2*   

  1. 1.大理大学临床医学院,云南大理 6710002.大理大学第一附属医院消化内科,云南大理 671000

  • 收稿日期:2022-04-11 修回日期:2022-06-16 出版日期:2023-02-15 发布日期:2023-03-02
  • 通讯作者: 杨理伟,主任医师,E-mail:13508829899@163.com。
  • 作者简介:姚秋艳,主治医师,主要从事消化内科疾病诊疗研究。
  • 基金资助:
    云南省教育厅科学研究基金项目(2021Y449);大理市科技计划项目(2020KGB046

Analysis of Short-Term Prognostic Factors in Alcoholic Liver Disease-Related Acute-on-Chronic Liver Failure

Yao Qiuyan12Wu Zesheng2Shi Rognjie2Yang Liwei2*   

  1. 1. Clinical College Dali University Dali Yunnan 671000 China 2.Department of Gastroenterology The First Affiliated Hospital of Dali University DaliYunnan 671000 China

  • Received:2022-04-11 Revised:2022-06-16 Online:2023-02-15 Published:2023-03-02

摘要: 目的:探讨酒精性肝病(ALD)相关慢加急性肝衰竭(ACLF)患者短期预后影响因素,建立短期预后评估模型。方法:回顾性分析96ALD-ACLF患者的基线临床资料,按照90 d生存情况分为存活组和死亡组,通过Logistic回归分析筛选90 d预后独立影响因素,建立预后评估模型。结果:96ALD-ACLF患者中,男性88例,肝病基础以肝硬化为主,并发症主要为腹水和感染;Logistic回归分析显示:总胆红素(TBIL)、凝血酶原时间(PT)、中性粒细胞-淋巴细胞比值(NLR)、合并感染是ALD-ACLF患者90 d预后的独立影响因素,建立预后评估模型,预后评估模型=0.013×CTBIL+0.085×CNLR+0.575×CPT,该模型的最佳截断点为16.34,特异度为77.55%,敏感度为87.23%,曲线下面积为0.913。结论:该研究建立的预测模型对ALD-ACLF患者短期预后有一定的预测价值。

关键词: font-family:宋体, ">酒精性肝病, 慢加急性肝衰竭, 预后, 影响因素分析

Abstract: ObjectiveTo analyze the influencing factors of short-term prognosis of patients with alcoholic liver disease ALD related acute-on-chronic liver failure ACLF), and to establish a short-term prognosis evaluation model. Methods The baseline clinical data of 96 patients with ALD-ACLF were retrospectively analyzed and they were divided into survival group and death group according to the 90-day survival. Logistic regression analysis was used to screen the independent influencing factors of 90-day prognosis and a prognostic evaluation model was established. Results Among the 96 patients with ALD-ACLF 88 patients were male. The main basis of liver disease was cirrhosis and the main complications were ascites and infection. Logistic regression analysis showed that total bilirubin TBIL), prothrombin time PT), neutrophil-lymphocyte ratio NLR and co-infection were independent prognostic factors of patients with ALD-ACLF at 90 days. The prognostic evaluation model was established which was 0.013×CTBIL+0.085×CNLR+0.575×CPT. The optimal cut-off point of the model was 16.34 the specificity was 77.55% the sensitivity was 87.23% and the area under the curve was 0.913. Conclusion The prediction model established in this study has certain predictive value for short-term prognosis of patients with ALD-ACLF.

Key words: font-family:Times New Roman, ">alcoholic liver diseasefont-family:Times New Roman, ">, font-family:Times New Roman, "> acute-on-chronic liver failurefont-family:Times New Roman, ">, font-family:Times New Roman, "> prognosisfont-family:Times New Roman, ">, font-family:Times New Roman, "> analysis of influencing factors

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