BML-111 attenuated CIA in part by negatively regulating the immune response, which implicates the potential pharmacological value of LXs in the treatment of chronic immune-mediated inflammatory diseases such as RA.
At present, the long-term effects of pegylated interferon-α (PEG-IFN-α) and entecavir (ETV) are controversial. Studies directly compared the long-term outcomes of these two drugs have not been completed. This study was designed to compare the clinical outcomes of PEG-IFN-α vs ETV therapy in Chinese patients with chronic HBV infection. From September 2008 to December 2016, a large, observational, open-label, prospective cohort study of HBeAg-positive patients with CHB who received PEG-IFN-α or ETV therapy was carried out at the Second Affiliated Hospital of Chongqing Medical University. Cumulative incidences of unfavourable events were calculated with respect to treatment type. Based on the REACH-B model, we compared the observed incidence of hepatocellular carcinoma (HCC) with the expected incidence in each group. PEG-IFN-α-treated patients showed a lower cumulative incidences of unfavourable events and cirrhosis than those treated with ETV (P = .031; P = .044, respectively). Impact factor exploration indicated that treatment type and platelet count are significantly associated with the occurrence of unfavourable events. Based on the REACH-B model, a lower observed cumulative incidence of HCC was observed in PEG-IFN-α-treated patients than predicted (P = .038). However, there was no significant difference of the cumulative HCC incidence between the observed and the predicted cases for ETV-experienced patients (P = .36). Treatment with PEG-INF-α leads to a lower incidence of unfavourable events including cirrhosis and HCC than ETV in patients with HBV. Treatment type and baseline platelet count may be two important factors associated with the long-term clinical outcomes of patients with CHB.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.