Guangqin Xiao1, Feng Zhu2, Min Wang2, Hang Zhang2, Dawei Ye3, Jiayin Yang4, Li Jiang4, Chang Liu4, Lunan Yan5, Renyi Qin6. 1. Department of Hepato-pancreato-biliary Surgery, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China; Department of Liver Surgery and State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China. 2. Department of Hepato-pancreato-biliary Surgery, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China. 3. Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China. 4. Department of Liver Surgery and State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China. 5. Department of Liver Surgery and State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China. Electronic address: yanlunan1268@163.com. 6. Department of Hepato-pancreato-biliary Surgery, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China. Electronic address: qinrenyi1515@163.com.
Abstract
BACKGROUND: Aspartate aminotransferase to platelet ratio index (APRI) and the fibrosis index based on four factors (FIB-4) are the two most focused non-invasive models to assess liver fibrosis. AIMS: We aimed to examine the validity of these two models for predicting hepatitis B virus (HBV)-related liver fibrosis accompanied with hepatocellular carcinoma (HCC). METHODS: We enrolled HBV-infected patients with liver cancer who had received hepatectomy. The accuracy of APRI and FIB-4 for diagnosing liver fibrosis was assessed based on their sensitivity, specificity, diagnostic efficiency, positive predictive value (PPV), negative predictive value (NPV), kappa (κ) value and area under the receiver-operating characteristic curve (AUC). RESULTS: Finally 2176 patients were included, with 1682 retrospective subjects and 494 prospective subjects. APRI (rs=0.310) and FIB-4 (rs=0.278) were positively correlated with liver fibrosis. And χ(2) analysis demonstrated that APRI and FIB-4 values correlated with different levels of liver fibrosis with all P values less than 0.01. The AUC values for APRI and FIB-4 were 0.685 and 0.626 (P=0.73) for predicting significant fibrosis, 0.681 and 0.648 (P=0.81) for differentiation of advanced fibrosis and 0.676 and 0.652 (P=0.77) for diagnosing cirrhosis. CONCLUSION: APRI and FIB-4 correlate with liver fibrosis. However these two models have low accuracy for predicting HBV-related liver fibrosis in HCC patients.
BACKGROUND: Aspartate aminotransferase to platelet ratio index (APRI) and the fibrosis index based on four factors (FIB-4) are the two most focused non-invasive models to assess liver fibrosis. AIMS: We aimed to examine the validity of these two models for predicting hepatitis B virus (HBV)-related liver fibrosis accompanied with hepatocellular carcinoma (HCC). METHODS: We enrolled HBV-infectedpatients with liver cancer who had received hepatectomy. The accuracy of APRI and FIB-4 for diagnosing liver fibrosis was assessed based on their sensitivity, specificity, diagnostic efficiency, positive predictive value (PPV), negative predictive value (NPV), kappa (κ) value and area under the receiver-operating characteristic curve (AUC). RESULTS: Finally 2176 patients were included, with 1682 retrospective subjects and 494 prospective subjects. APRI (rs=0.310) and FIB-4 (rs=0.278) were positively correlated with liver fibrosis. And χ(2) analysis demonstrated that APRI and FIB-4 values correlated with different levels of liver fibrosis with all P values less than 0.01. The AUC values for APRI and FIB-4 were 0.685 and 0.626 (P=0.73) for predicting significant fibrosis, 0.681 and 0.648 (P=0.81) for differentiation of advanced fibrosis and 0.676 and 0.652 (P=0.77) for diagnosing cirrhosis. CONCLUSION: APRI and FIB-4 correlate with liver fibrosis. However these two models have low accuracy for predicting HBV-related liver fibrosis in HCC patients.
Authors: Ana Cristina Honorato de Castro; Leandro Toshio Kochi; José Manuel Rodrigueiro Flauzino; Márcia Maria Costa Nunes Soares; Valéria Almeida Alves; Luís Antônio da Silva; João Marcos Madurro; Ana Graci Brito-Madurro Journal: Appl Biochem Biotechnol Date: 2022-02-19 Impact factor: 2.926
Authors: Jessie Torgersen; Michael J Kallan; Dena M Carbonari; Lesley S Park; Rajni L Mehta; Kathryn D'Addeo; Janet P Tate; Joseph K Lim; Matthew Bidwell Goetz; Maria C Rodriguez-Barradas; Norbert Bräu; Sheldon T Brown; Tamar H Taddei; Amy C Justice; Vincent Lo Re Journal: J Acquir Immune Defic Syndr Date: 2020-12-15 Impact factor: 3.731