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Egy评分作为慢性丙型肝炎肝纤维化评估的无创评分:一种初步方法。

Egy-score as a noninvasive score for the assessment of hepatic fibrosis in chronic hepatitis C: a preliminary approach.

作者信息

Alboraie Mohamed, Khairy Marwa, Elsharkawy Aisha, Elsharkawy Marwa, Asem Noha, Abo El-Seoud Amany R, Elghamry Fathy G, Esmat Gamal

机构信息

Department of Internal Medicine, Al-Azhar University, Cairo; Egyptian Liver Fibrosis Study Group, Egypt.

出版信息

Saudi J Gastroenterol. 2014 May-Jun;20(3):170-4. doi: 10.4103/1319-3767.133003.

Abstract

BACKGROUND AND AIMS

Egy-Score is a new noninvasive score for prediction of severe hepatic fibrosis in patients with chronic liver diseases. The aim of this study was to validate Egy-Score as a noninvasive score for predicting stage of hepatic fibrosis in a group of Egyptian chronic hepatitis C patients.

PATIENTS AND METHODS

One hundred Egyptian patients with chronic hepatitis C were enrolled. Mean age was 40.25 ± 9.39 years. They were subjected to CA19-9, alpha-2-macroglobulin, total bilirubin, platelet count and albumin, liver biopsy, and histopathological staging of hepatic fibrosis according to METAVIR scoring system as part of their assessment for treatment. Egy-Score was calculated according to the following formula: Egy-Score = 3.52 + 0.0063 × CA19-9 + 0.0203 × age + 0.4485 × alpha-2-macroglobulin + 0.0303 × bilirubin - 0.0048 × platelet - 0.0462 × albumin. Egy-Score results were correlated to the stage of hepatic fibrosis.

RESULTS

Egy-Score correlates positively with the stage of hepatic fibrosis (F0-F4). Egy-Score was able to differentiate significant hepatic fibrosis, severe hepatic fibrosis, and cirrhosis accurately. Cutoff values of Egy-Score were 2.91850 (for significant fibrosis), 3.28624 (for severe fibrosis), and 3.67570 (for cirrhosis). Sensitivity, specificity, and areas-under-ROC curve (AUROCs) were 75.8%, 68.42%, and 0.776 (for significant fibrosis "≥F2"), 91.67%, 77.63%, and 0.875 (for severe fibrosis "≥F3"), and 81.82%, 86.52%, and 0.874 (for cirrhosis "F4"), respectively.

CONCLUSION

Egy-Score is a useful noninvasive panel of surrogate biomarkers that could accurately predict different stages of hepatic fibrosis in patients with chronic hepatitis C.

摘要

背景与目的

Egy评分是一种用于预测慢性肝病患者严重肝纤维化的新型非侵入性评分系统。本研究旨在验证Egy评分作为一种非侵入性评分系统,用于预测一组埃及慢性丙型肝炎患者的肝纤维化分期。

患者与方法

招募了100例埃及慢性丙型肝炎患者。平均年龄为40.25±9.39岁。作为治疗评估的一部分,他们接受了CA19-9、α-2-巨球蛋白、总胆红素、血小板计数和白蛋白检测、肝活检,并根据METAVIR评分系统对肝纤维化进行组织病理学分期。Egy评分根据以下公式计算:Egy评分=3.52 + 0.0063×CA19-9 + 0.0203×年龄 + 0.4485×α-2-巨球蛋白 + 0.0303×胆红素 - 0.0048×血小板 - 0.0462×白蛋白。Egy评分结果与肝纤维化分期相关。

结果

Egy评分与肝纤维化分期(F0-F4)呈正相关。Egy评分能够准确区分显著肝纤维化、严重肝纤维化和肝硬化。Egy评分的截断值分别为2.91850(显著纤维化)、3.28624(严重纤维化)和3.67570(肝硬化)。敏感性、特异性和ROC曲线下面积(AUROCs)分别为75.8%、68.42%和0.776(显著纤维化“≥F2”),91.67%、77.63%和0.875(严重纤维化“≥F3”),以及81.82%、86.52%和0.874(肝硬化“F4”)。

结论

Egy评分是一组有用的非侵入性替代生物标志物,可准确预测慢性丙型肝炎患者肝纤维化不同分期。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c3b/4067913/7d91dee73740/SJG-20-170-g005.jpg

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