Wang Hong, Zhou Ying, Yan Rong, Ru Guo Qing, Yu Li Li, Wang Ming Shan, Chen Mei Juan
Department of Infectious Diseases, Zhejiang Provincial People's Hospital, Zhejiang, People's Hospital of Hangzhou Medical College, Zhejiang, China.
Department of Pathology, Zhejiang Provincial People's Hospital, Zhejiang, People's Hospital of Hangzhou Medical College, Zhejiang, China.
Oncotarget. 2017 Oct 24;8(58):98812-98822. doi: 10.18632/oncotarget.22003. eCollection 2017 Nov 17.
Interest is growing in the use of non-invasive techniques for complementing liver biopsy for liver fibrosis assessment. We aimed to prospectively evaluate liver histology in chronic hepatitis B (CHB) patients with e-antigen positivity, and develop and validate a novel scoring system-e-antigen-positive CHB liver fibrosis (EPLF) score-for noninvasively predicting the fibrosis stages.
We identified the baseline variables associated with fibrosis stage (MATAVIR score, F0-F4) in 212 CHB patients with e-antigen positivity. These significant variables were used to develop the EPLF scoring system. The EPLF score equation was developed based on the prediction of fibrosis stages via multivariate ordered logistic regression analysis. The diagnostic powers of the EPLF score and several non-invasive markers were assessed through an area under the receiver operating characteristic curve (AUROC) analyses. This EPLF score model was validated in another set of 208 similar patients.
The natural logarithms of serum albumin, HBeAg, and HBsAg levels were selected as significant independent variables for the EPLF score equation. The EPLF score had good diagnostic power (AUROC, 0.72-0.90, p<0.001) and good diagnostic accuracy (72-85%), with a high positive predictive value (80.8-92.8%) for each fibrosis stage in the test group. Similar results were observed in the validation group (AUROC, 0.73-0.89, p<0.001). The EPLF score exhibited a strong correlation with fibrosis stage (r=0.67, p<0.001), and was the preferable non-invasive marker for staging liver fibrosis.
In e-antigen-positive patients with CHB, the EPLF score could serve as a potential non-invasive marker of liver fibrosis stage.
使用非侵入性技术辅助肝活检进行肝纤维化评估的关注度日益提高。我们旨在对e抗原阳性的慢性乙型肝炎(CHB)患者的肝脏组织学进行前瞻性评估,并开发和验证一种新的评分系统——e抗原阳性CHB肝纤维化(EPLF)评分——用于非侵入性预测纤维化阶段。
我们在212例e抗原阳性的CHB患者中确定了与纤维化阶段(METAVIR评分,F0 - F4)相关的基线变量。这些显著变量被用于开发EPLF评分系统。EPLF评分方程是通过多变量有序逻辑回归分析对纤维化阶段的预测而建立的。通过受试者操作特征曲线下面积(AUROC)分析评估EPLF评分和几种非侵入性标志物的诊断能力。该EPLF评分模型在另一组208例类似患者中进行了验证。
血清白蛋白、HBeAg和HBsAg水平的自然对数被选为EPLF评分方程的显著独立变量。EPLF评分具有良好的诊断能力(AUROC,0.72 - 0.90,p<0.001)和良好的诊断准确性(72 - 85%),在测试组中对每个纤维化阶段具有较高的阳性预测值(80.8 - 92.8%)。在验证组中观察到类似结果(AUROC,0.73 - 0.89,p<0.001)。EPLF评分与纤维化阶段表现出强相关性(r = 0.67,p<0.001),并且是用于肝纤维化分期的更优非侵入性标志物。
在e抗原阳性的CHB患者中,EPLF评分可作为肝纤维化阶段的潜在非侵入性标志物。