实用肝脏病杂志 ›› 2024, Vol. 27 ›› Issue (3): 390-393.doi: 10.3969/j.issn.1672-5069.2024.03.018

• 肝衰竭 • 上一篇    下一篇

预后营养指数联合全身免疫炎症指数评估乙型肝炎相关慢加急性肝衰竭患者预后临床价值研究*

董旭, 秦阳华, 陈怡, 许明晓, 葛玲玲, 徐圣, 廖威   

  1. 200433 上海市 海军军医大学第一附属医院感染病科(董旭,秦阳华,陈怡,许明晓,葛玲玲,廖威);海军特色医学中心消化内科(徐圣)
  • 收稿日期:2023-08-09 出版日期:2024-05-10 发布日期:2024-06-11
  • 通讯作者: 廖威,E-mail:lww_1979@163.com
  • 作者简介:董旭,男,27岁,硕士研究生,主治医师。主要从事病毒性肝炎与肝衰竭的免疫学机制和临床综合诊治研究。E-mail:yxdongxu@126.com
  • 基金资助:
    * 上海市浦江人才基金资助项目(编号:16PJD001);军队护理创新与培育专项计划项目(编号:2021HL029)

Predictive performance of prognostic nutritional index and systemic immunoinflammatory index in patients with hepatitis B associated acute-on-chronic liver failure

Dong Xu, Qin Yanghua, Chen Yi, et al   

  1. Department of Infectious Diseases, First Affiliated Hospital, Naval Medical University, Shanghai 200433, China
  • Received:2023-08-09 Online:2024-05-10 Published:2024-06-11

摘要: 目的 探讨应用预后营养指数(PNI)和全身免疫炎症指数(SII)预测乙型肝炎相关慢加急性肝衰竭(HBV-ACLF)患者预后的效能。方法 在过去8年海军军医大学第一附属医院感染病科诊治的HBV-ACLF患者308例,常规检测和治疗,计算PNI和SII。应用二元多因素Logistics回归分析影响预后的危险因素,应用ROC曲线评估指标预测预后的效能。 结果 经过1~3个月治疗,本组患者生存192例(62.3%),死亡116例(37.7%);两组性别占比无显著性差异(P>0.05),但死亡患者年龄显著大于生存患者(P<0.05);死亡组PT或INR和血清TBIL水平显著长于或大于生存组(P<0.05);死亡组腹水、感染、肝性脑病、消化道出血和肝肾综合征发生率显著大于生存组(P<0.05);死亡组MELD评分和SII评分显著大于生存组(P<0.05),而PNI评分显著小于生存组(P<0.05);多因素Logistic回归发现PLT计数、血清TBIL水平、肝性脑病、消化道出血、PNI和SII是影响HBV-ACLF患者预后的独立危险因素;分别以PNI=37.77和SII=508.55为截断点,其预测的敏感度和特异度分别为53.4%和81.2%,和30.2%和88.0%。 结论 了解HBV-ACLF患者预后的影响因素有利于早期作出临床决策,PNI是预后良好的独立保护因素,而SII是预后不良的独立危险因素,它们均有一定的预测效能。

关键词: 慢加急性肝衰竭, 预后营养指数, 全身免疫炎症指数, 预后, 诊断

Abstract: Objective The aim of this study was to investigate the predictive performance of prognostic nutritional index (PNI) and systemic immunoinflammatory index (SII) in patients with hepatitis B associated acute-on-chronic liver failure (HBV-ACLF). Methods The clinical data of 308 patients with HBV-ACLF admitted to the First Affiliated Hospital, Naval Medical University the past eight years, were retrospectively analyzed, and the PNI and SII were calculated. The multivariate Logistic regression analysis was applied to reveal the factors impacting the prognosis, and the ROC curve was applied to evaluate the predictive efficacy. Results At the end of 1 to 3 month treatment, 192 patients (62.3%) survived and 116 patients (37.7%) died in our series; there was no significant difference in gender between the two groups(P>0.05), while the medium age of the dead patients was significantly older than in survivals (P<0.05); the PT or INR, total serum bilirubin (TSB) level in dead patients were significantly longer or greater than in those who survived (P<0.05); the incidences of ascites, infection, hepatic encephalopathy, gastrointestinal bleeding or hepatorenal syndrome in dead patients were significantly higher than in survivals (P<0.05); the MELD scores and SII scores in the dead patients were significantly higher than, while the PNI scores was significantly lower than in survivals (P<0.05); the multivariate Logistic regression analysis showed that the PLT counts, TSB, PNI and SII scores were the independent risk factors impacting the prognosis of patients with HBV-ACLF; the sensitivities and specificities were 53.4% and 81.2%, and 30.2% and 88.0% when the PNI=37.77 and the SII=508.55 were set as the cut-off-value, respectively, in predicting the prognosis. Conclusion The early prediction of prognosis in patients with HBV-ACLF is beneficial for appropriate management, and the PNI is an independent protective factor for good and the SII is an independent risk factor for poor outcomes, and they both have to a certain extent a prognostic efficacy.

Key words: Acute-on-chronic liver failure, Prognostic nutritional index, Systemic immunoinflammatory index, Prognosis, Prediction