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HEV-LF:一种用于戊型肝炎病毒相关肝衰竭患者的新型评分模型。

HEV-LF : A novel scoring model for patients with hepatitis E virus-related liver failure.

机构信息

State Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.

Department of Laboratory Medicine, The First People's Hospital of Yancheng City, Yancheng, China.

出版信息

J Viral Hepat. 2019 Nov;26(11):1334-1343. doi: 10.1111/jvh.13174. Epub 2019 Aug 1.

Abstract

A noninvasive assessment method for acute or acute-on-chronic liver failure in patients with hepatitis E virus (HEV) infection is urgently needed. We aimed to develop a scoring model for diagnosing HEV patients who developed liver failure (HEV-LF) at different stages. A cross-sectional set of 350 HEV-LF patients were identified and enrolled, and the Guidelines for Diagnosis and Treatment of Liver Failure in China and the Asian Pacific Association for the Study of the Liver were adopted as references. HEV-LF , a novel scoring model that incorporates data on cholinesterase (CHE), urea nitrogen (UREA), platelets and international normalized ratio was developed using a derived dataset. For diagnosing HEV-LF stages F1 to F3, the HEV-LF scoring model (F1: 0.87; F2: 0.90; F3: 0.92) had a significantly higher AUROC than did the CLIF-C-ACLFs (F1: 0.65; F2: 0.56; F3: 0.51) and iMELD (F1: 0.70; F2: 0.57; F3: 0.51) scoring models, of which the HEV-LF scoring model had the best sensitivity and specificity. In addition, the HEV-LF scoring model was correlated with mortality, length of hospitalization and ICU stay. As the GDTLF score increased, the CHE level decreased and the UREA increased gradually. Encouragingly, a calibration curve showed good agreement between the derivation and validation sets. Notably, we also established a nomogram to facilitate the practical operability of the HEV-LF scoring model in clinical settings. In conclusion, both CHE and UREA may be indicators for HEV-LF patients. The HEV-LF scoring model is an efficient and accessible model for classifying HEV-LF at different stages.

摘要

一种用于评估戊型肝炎病毒 (HEV) 感染患者急性或慢加急性肝衰竭的非侵入性评估方法亟待开发。我们旨在建立一个评分模型,用于诊断处于不同阶段肝衰竭(HEV-LF)的 HEV 患者。本研究纳入了 350 例 HEV-LF 患者,参考中国《肝衰竭诊治指南》和亚太肝病学会(APASL)肝衰竭指南。基于推导数据集,我们建立了一个包含胆碱酯酶(CHE)、尿素氮(UREA)、血小板和国际标准化比值数据的新型评分模型 HEV-LF。对于诊断 HEV-LF 分期 F1 至 F3,HEV-LF 评分模型(F1:0.87;F2:0.90;F3:0.92)的 AUROC 显著高于 CLIF-C-ACLFs 评分模型(F1:0.65;F2:0.56;F3:0.51)和 iMELD 评分模型(F1:0.70;F2:0.57;F3:0.51),且具有更好的敏感性和特异性。此外,HEV-LF 评分模型与死亡率、住院时间和 ICU 住院时间相关。随着 GDTLF 评分的增加,CHE 水平逐渐降低,UREA 逐渐升高。令人鼓舞的是,校准曲线显示推导集和验证集之间具有良好的一致性。此外,我们还建立了一个列线图,以提高 HEV-LF 评分模型在临床实践中的实用性。总之,CHE 和 UREA 可能是 HEV-LF 患者的指标。HEV-LF 评分模型是一种用于对不同阶段 HEV-LF 进行分类的高效、实用的模型。

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