Validation of FIB-6 score in assessment of liver fibrosis in chronic hepatitis B.

BACKGROUND: We recently developed a simple novel index called fibrosis 6 (FIB-6) using machine learning data analysis. We aimed to evaluate its performance in the diagnosis of liver fibrosis and cirrhosis in chronic hepatitis B (CHB). METHODS: A retrospective observational analysis of data was obtained from seven countries (Egypt, Kingdom of Saudi Arabia (KSA), Turkey, Greece, Oman, Qatar, and Jordan) of CHB patients. The inclusion criteria were receiving an adequate liver biopsy and a complete biochemical and hematological data. The diagnostic performance analysis of the FIB-6 index was conducted and compared with other non-invasive scores. RESULTS: A total of 603 patients were included for the analysis; the area under the receiver operating characteristic curve (AUROC) of FIB-6 for the discrimination of patients with cirrhosis (F4), compensated advanced chronic liver disease (cACLD) (F3 and F4), and significant fibrosis (F2-F4) was 0.854, 0.812, and 0.745, respectively. The analysis using the optimal cut-offs of FIB-6 showed a sensitivity of 70.9%, specificity of 84.1%, positive predictive value (PPV) of 40.3%, and negative predictive value (NPV) of 95.0% for the diagnosis of cirrhosis. For the diagnosis of cACLD, the results were 71.5%, 69.3%, 40.8%, and 89.2%, respectively, while for the diagnosis of significant fibrosis, the results were 68.3%, 67.5%, 59.9%, and 75.0%, respectively. When compared to those of fibrosis 4 (FIB-4) index, aspartate aminotransferase (AST)-to-platelet ratio index (APRI), and AST-to-alanine aminotransferase (ALT) ratio (AAR), the AUROC for the performance of FIB-6 was higher than that of FIB-4, APRI, and AAR in all fibrosis stages. FIB-6 gave the highest sensitivity and NPV (89.1% and 92.4%) in ruling out cACLD and cirrhosis, as compared to FIB-4 (63.8% and 83.0%), APRI (53.9% and 86.6%), and AAR (47.5% and 82.3%), respectively. CONCLUSIONS: The FIB-6 index could be used in ruling out cACLD, fibrosis, and cirrhosis with good reliability.

Scenarios to manage the hepatitis C disease burden and associated economic impact of treatment in Turkey.

BACKGROUND: Hepatitis C virus (HCV) infection is a significant health problem. The aim of this study is to evaluate the cost-effectiveness of HCV treatment and estimate its economic burden in Turkey. METHODS: An Excel-based disease progression model was used to estimate the HCV-infected population for 2015-2030. Direct costs in US dollars (USD) including diagnostic, laboratory, and healthcare costs were provided by experts in the country. Indirect costs were estimated as lost productivity using the World Health Organization (WHO) disability-adjusted life years (DALYs) metric from the Global Burden of Disease study. Three scenarios were developed to estimate the cost-effectiveness of HCV treatment through 2030: Base 2016, Increase Treatment and SVR (where SVR is sustained virological response), and WHO Targets. Additionally, the WHO Targets scenario was assessed at three different treatment price points: 10,900 USD, 16,730 USD (base cost), and 27,285 USD. RESULTS: Cumulative total direct and indirect costs (2015-2030) for the WHO Targets scenario were estimated to be 10.8 billion USD, or a 1.5 % increase compared with Base 2016. However, by the following decade, due to a marked decline in DALYs, cumulative direct and indirect costs were estimated to be 45 % less when compared with Base 2016. At a threshold of 9125 USD, all scenarios were cost-effective. CONCLUSIONS: By implementing the WHO Targets scenario, Turkey would be able to lower HCV prevalence by 80 % and reduce the total number of liver-related deaths by >65 % by 2030. Treating HCV infection in the country is cost-effective if healthcare and indirect costs are taken into consideration.