This study reinforces the importance of baseline liver function (Child-Pugh classification and MELD score) in the survival of patients with HCC, although staging systems allowed the stratification of patients in different prognostic groups. Ascites, bilirubin and PVT were independent pretreatment predictors of survival. All treatments influenced the patient's outcome, whether in early or advanced stages.
Sporadic cases of acute viral hepatitis E have been described in developed countries, despite the more common occurrence in endemic areas and developing countries. We present the case of a 58 years old Portuguese female, with no epidemiological relevant factors, admitted with acute hepatitis with positive anti-nuclear antibodies, anti-smooth muscle antibody and high serum gamma globulin (> 1.5 fold increase). Serologies for hepatitis A virus, hepatitis B virus, hepatitis C virus, Epstein-Barr virus, cytomegalovirus, hereditary sensory neuropathy and varicella zoster virus were negative. Liver biopsy histology revealed changes compatible with autoimmune hepatitis. Prednisolone and azathioprine was started. She tested positive for immunoglobulin M anti hepatitis E virus (HEV) with detectable viremia by reverse transcription polymerase chain reaction (RT-PCR) technique. HEV-RNA was confirmed through RT-PCR in a liver specimen, establishing the diagnosis of acute hepatitis E. Immunosuppression was stopped. She clinically improved, with resolution of laboratory abnormalities. Therefore, we confirmed acute hepatitis E as the diagnosis. We review the literature to elucidate about HEV infection and its autoimmune effects.
The mechanisms of hepatocyte damage and the events that lead to high rates of chronic liver disease in hepatitis C virus (HCV) infection remain unclear. Recent in vitro studies have suggested that the HCV core protein may disrupt specific signalling pathways of apoptosis. This prompted us to study patients with chronic HCV infection to: determine the extent of apoptosis in the liver; evaluate whether clinical and biochemical data are correlated with histological findings; and to investigate if apoptosis is related to the histological activity of the disease. Twelve patients with chronic hepatitis C were included in the study. Liver histology was scored by using the histological activity index (HAI) of Knodell et al. DNA fragmentation was assessed in liver tissue by the terminal deoxynucleotidyl transferase-mediated deoxyuridine triphosphate nick end-labelling (TUNEL) assay. Routine methods were used to determine serum markers of liver disease. Bile acids were measured in serum and liver by gas chromatography. Patients were placed, according to their HAI score, into group A (3.8 +/- 0.3) or group B (7.8 +/- 0.8) (P < 0.01). Liver enzymes tended to be higher in group B patients than in patients of group A. Levels of toxic bile acids in serum were greater in patients than in controls (P < 0.01). Chenodeoxycholic acid values were slightly higher in serum and liver of patients in group A. Liver biopsies with low HAI scores showed an increased rate of apoptosis (18.0 +/- 4.0 apoptotic cells per field) compared to those with higher HAI scores (6.6 +/- 2.1, P < 0.05) or to controls (3.5 +/- 0.4, P < 0.01). Hence, less severe liver disease, associated with lower histological grades and biochemistries, as well as increased levels of chenodeoxycholic acid, induces an expanded apoptotic response. The lower apoptotic rate in advanced liver disease may be associated with the high incidence of hepatocellular dysplasia/neoplasia.
Abstract. In this work liver contour is semi-automatically segmented and quantified in order to help the identification and diagnosis of diffuse liver disease. The features extracted from the liver contour are jointly used with clinical and laboratorial data in the staging process. The classification results of a support vector machine, a Bayesian and a k-nearest neighbor classifier are compared. A population of 88 patients at five different stages of diffuse liver disease and a leave-one-out cross-validation strategy are used in the classification process. The best results are obtained using the k-nearest neighbor classifier, with an overall accuracy of 80.68%. The good performance of the proposed method shows a reliable indicator that can improve the information in the staging of diffuse liver disease.
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