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    Therapy of acute hepatitis C

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    Abstract Acute hepatitis C has a high propensity to become chronic, which provides the rationale for treating patients with acute disease attempting to prevent chronicity. Almost all published studies on therapy of acute hepatitis C have been small in size, uncontrolled, and highly heterogeneous as to patient features, dose and duration of treatment, follow-up evaluation, and criteria used to define efficacy and safety. The published studies on treatment of acute hepatitis C have used standard alfa or beta interferon monotherapy: none have evaluated combination therapy of interferon and ribavirin or peginterferon. Several meta-analyses of published studies have concluded that initiation of interferon monotherapy during the acute phase of hepatitis C virus (HCV) infection significantly reduces (by 30% to 40%) evolution to chronic hepatitis. The tolerability of interferon in acute hepatitis C has been excellent, even in symptomatic and icteric patients; the side effects and adverse events being similar in type and frequency to those seen when treating chronic cases. Thus, currently available data support treatment of patients with acute hepatitis C, but data are insufficient to draw firm conclusions about which patients to treat, when therapy should be started, or what regimen is optimal. Future studies of adequate size and design should focus on efficacy and tolerability of peginterferons and whether therapy should be started immediately after diagnosis or delayed for 2 to 4 months to avoid treatment of patients who spontaneously recover

    Sequential algorithms combining non-invasive markers and biopsy for the assessment of liver fibrosis in chronic hepatitis B

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    AIM: To assess the performance of several non-invasive markers and of our recently proposed stepwise combination algorithms to diagnose significant fibrosis (F ≥ 2 by METAVIR) and cirrhosis (F4 by METAVIR) in chronic hepatitis B (CHB). METHODS: One hundred and ten consecutive patients (80 males, 30 females, mean age: 42.6 ± 11.3) with CHB undergoing diagnostic liver biopsy were included. AST-to-Platelet ratio (APRI), Forns’ index, AST-to-ALT Ratio, Goteborg University Cirrhosis Index (GUCI), Hui’s model and Fibrotest were measured on the day of liver biopsy. The performance of these methods and of sequential algorithms combining Fibrotest, APRI and biopsy was defined by positive (PPV) and negative (NPV) predictive values, accuracy and area under the curve (AUC). RESULTS: PPV for significant fibrosis was excellent (100%) with Forns and high (> 92%) with APRI, GUCI, Fibrotest and Hui. However, significant fibrosis could not be excluded by any marker (NPV < 65%). Fibrotest had the best PPV and NPV for cirrhosis (87% and 90%, respectively). Fibrotest showed the best AUC for both significant fibrosis and cirrhosis (0.85 and 0.76, respectively). Stepwise combination algorithms of APRI, Fibrotest and biopsy showed excellent performance (0.96 AUC, 100% NPV) for significant fibrosis and 0.95 AUC, 98% NPV for cirrhosis, with 50%-80% reduced need for liver biopsy. CONCLUSION: In CHB sequential combination of APRI, Fibrotest and liver biopsy greatly improves the diagnostic performance of the single non-invasive markers. Need for liver biopsy is reduced by 50%-80% but cannot be completely avoided. Non-invasive markers and biopsy should be considered as agonists and not antagonists towards the common goal of estimating liver fibrosis

    Hepatic iron, liver steatosis and viral genotypes in patients with chronic hepatitis C

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    Hepatic iron has been described in hepatitis C virus (HCV) infection as an important cofactor of disease outcome. The mechanisms leading to hepatic iron deposits (HIDs) in HCV patients are partially understood. We investigated HIDs in the liver biopsies of a consecutive series of 242 HCV-infected patients with well-compensated liver disease. Serum ferritin was elevated in 20.7% and transferrin saturation in 19.0%, while 38.8% had stainable HIDs indicating that serum markers of systemic iron overload have low sensitivity in predicting HIDs in hepatitis C. A cut-off value of serum ferritin (350 microg/L in females and 450 microg/L in males) had good negative predictive value in excluding presence of mild-moderate HIDs (grade II-III). Hepatic iron deposits correlated by multivariate analysis with serum ferritin [odds ratio (OR) 1.008, 95% confidence interval (CI) 1.005-1.011] and albumin (OR 1.15, 95% CI 1.02-1.297). Hepatic iron deposits were more frequent in HCV-3-infected cases than in other genotypes (P = 0.027) while raised serum iron indices were more frequent in non-HCV-3 genotypes (P = 0.02). Furthermore, advanced fibrosis (F3-F4 by METAVIR) was more frequent in non-HCV-3 genotypes (P = 0.04). In HCV-3 cases there was a close association between HIDs and severe (grade II-III) steatosis (P < 0.00001). These results indicate that in well-compensated chronic hepatitis C HIDs are strongly associated with HCV-3 and viral-induced hepatic steatosis, while in the presence of other genotypes they might merely reflect a more advanced stage of liver disease and/or a systemic iron overload. Serum ferritin could identify a subgroup of patients in which the need of venesection could be excluded without liver biopsy

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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