Pan Ying, Yang Kai, Sun Beibei, Chen Jin, Tian Pingping
Department of Medical Technology, Anhui Medical College, Hefei, Anhui 230601, P.R. China.
Department of Clinical Laboratory, The Second Hospital of Anhui Medical University, Hefei, Anhui 230601, P.R. China.
Exp Ther Med. 2022 Aug 9;24(4):619. doi: 10.3892/etm.2022.11556. eCollection 2022 Oct.
Assessment of the extent of liver fibrosis is a crucial requirement for the design of antiviral treatments for patients with chronic hepatitis B (CHB). Several non-invasive predictive indices have been developed as potential alternatives to liver biopsy for fibrosis assessment. The present study aimed to establish a novel non-invasive method for predicting liver fibrosis in patients with CHB. A total of 382 patients with CHB who underwent liver biopsy and pathological examination at The Second Hospital of Anhui Medical University (Hefei, China) were enrolled into the present study. Liver fibrosis was assessed according to the meta-analysis of histological data in viral hepatitis scoring system. Logistic regression analyses were performed to explore possibly significant characteristics associated with liver fibrosis. In addition, potential correlations between the alkaline phosphatase (AKP)-to-platelet count (PLT) ratio (APPR) and the aspartate transaminase-to-platelet ratio index (APRI), fibrosis index based on four factors (FIB-4) and γ-glutamyl transpeptidase-to-platelet ratio (GPR) were assessed using Spearman's correlation analysis. Subsequently, the performance of APPR was compared with APRI, FIB-4 and GPR using receiver operating characteristic (ROC) analysis. Logistic regression analysis identified AKP and PLT to be significant independent predictors of fibrosis. Therefore, an index was then constructed for predicting the degree of fibrosis, which was expressed using the formula APPR=AKP (IU/ml)/PLT (1x10/l). APPR was found to be positively associated with the fibrotic stage of the liver in addition to being positively correlated with APRI, FIB-4 and GPR. The area under the ROC curve (AUROC) values of APPR were also significantly higher compared with those of APRI and FIB-4 in predicting significant fibrosis but were equal to those of GPR. However, for advanced fibrosis and cirrhosis, the AUROC value of APPR was shown to be higher compared with that of APRI, FIB-4 and GPR. In conclusion, these observations suggest that APPR is a viable marker that can be used to assess liver fibrosis in patients with CHB.
评估肝纤维化程度是设计慢性乙型肝炎(CHB)患者抗病毒治疗方案的关键要求。已开发出几种非侵入性预测指标,作为肝活检进行纤维化评估的潜在替代方法。本研究旨在建立一种预测CHB患者肝纤维化的新型非侵入性方法。安徽医科大学第二附属医院(中国合肥)共有382例接受肝活检和病理检查的CHB患者纳入本研究。根据病毒性肝炎评分系统组织学数据的荟萃分析评估肝纤维化。进行逻辑回归分析以探索与肝纤维化可能相关的显著特征。此外,使用Spearman相关分析评估碱性磷酸酶(AKP)与血小板计数(PLT)比值(APPR)、天冬氨酸转氨酶与血小板比值指数(APRI)、基于四个因素的纤维化指数(FIB-4)和γ-谷氨酰转肽酶与血小板比值(GPR)之间的潜在相关性。随后,使用受试者工作特征(ROC)分析将APPR的性能与APRI、FIB-4和GPR进行比较。逻辑回归分析确定AKP和PLT是纤维化的显著独立预测因子。因此,构建了一个预测纤维化程度的指数,用公式APPR = AKP(IU/ml)/PLT(1x10⁹/l)表示。发现APPR除了与APRI、FIB-4和GPR呈正相关外,还与肝脏纤维化阶段呈正相关。在预测显著纤维化方面,APPR的ROC曲线下面积(AUROC)值也显著高于APRI和FIB-4,但与GPR相等。然而,对于晚期纤维化和肝硬化,APPR的AUROC值显示高于APRI、FIB-4和GPR。总之,这些观察结果表明APPR是一种可行的标志物,可用于评估CHB患者的肝纤维化。