一种基于炎症指数的新型诺米图,用于预测急性-慢性肝衰竭的短期预后:与经典模型的比较
Zhenxing Li1, Zixuan Wang1, Jian Yang1,2
1Department of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
European journal of medical research
|January 31, 2026
概括
一种新型的诺米图,包括中性粒细胞百分比与白蛋白比率 (NPAR),可以准确预测急性至慢性肝衰竭 (ACLF) 患者的短期结果. 该工具在ACLF中为临床管理和预后评估提供了更高的精度.
科学领域:
- 肝病学 肝病学是一种肝病学.
- 内部医学 内部医学
- 生物统计学 生物统计学
背景情况:
- 急性至慢性肝衰竭 (ACLF) 在预测患者的结果方面存在重大挑战.
- 开发准确的预后工具对于ACLF的有效临床管理至关重要.
研究的目的:
- 开发和验证一种新型的诺姆图,用于预测30天和90天ACLF患者的不良结果.
- 将中性粒细胞百分比与白蛋白比率 (NPAR) 纳入名谱中作为一个关键预测指标.
- 为了与现有的评分系统 (如MELD,MELD-Na,CLIF-C ACLF和COSSH-ACLF II) 进行比较,以比较名ogram的性能.
主要方法:
- 追溯招募641名ACLF患者,分为培训 (n=448) 和验证 (n=193) 队列.
- 使用单变量考克斯回归,LASSO回归和多变量考克斯分析来确定独立的预测因子.
- 确定了七个预测因素:细菌感染,肝脏脑病,年龄,前血素时间 (PT),总 bilirubin (TBIL),淋巴细胞计数和NPAR.
主要成果:
- 在训练队列中,名图显示出高预测性能,AUC为0.874 (30天) 和0.877 (90天).
- 实现了0.825的C指数,显著超过现有成绩.
- 在独立队列中验证了预测值,与COSSH-ACLF II相比,NRI和IDI显著改善 (P < 0.001).
结论:
- 开发的诺米图,整合了炎症和营养指标,为ACLF的短期预后提供了一个高精度的工具.
- 预计名图将为ACLF患者的临床管理决策提供指导.
- 开发了一个用户友好的动态网络计算器,以提高临床适用性.
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