Dataset Information

Histologic predictors of fibrosis progression in liver allografts in patients with hepatitis C virus infection.

ABSTRACT:

Background & aims

Recurrent hepatitis C with ensuing fibrosis is the leading cause of liver allograft loss. We investigated whether histologic features in early posttransplant liver biopsies could predict the rate of fibrosis progression in this population.

Methods

From 1999 to 2007 there were 476 liver transplants performed for hepatitis C at our center. We reviewed all available posttransplant biopsies for these patients; patients were categorized as rapid, intermediate, or slow fibrosers based on their METAVIR fibrosis score at 24 months. Stage F0 biopsies for rapid and slow fibrosers were analyzed histologically and immunohistochemically.

Results

We identified 52 rapid fibrosers and 61 slow fibrosers in our cohort. There was a significant increase in the fibrosis progression rate in the group transplanted between 2003 and 2007 compared with between 1999 and 2002. The course of fibrosis progression was determined early in the posttransplant period and the rate was constant. Rapid fibrosers had more hepatocyte apoptosis than slow fibrosers (P = .001), but no difference in hepatitis activity on stage F0 biopsies. Rapid fibrosers also experienced more episodes of acute rejection after transplantation (P < .001). Cytokeratin 19 (CK19) and vimentin expression on F0 stage biopsies could distinguish rapid from slow fibrosers (CK19: area under the curve, 0.71; P = .0034; vimentin: P = .0219).

Conclusions

CK19, vimentin, and hepatocellular apoptosis are promising early markers of rapid fibrosis progression in patients transplanted for hepatitis C. The rate of fibrosis progression is established early in the posttransplant period; this initial rate dictates long-term outcome.

SUBMITTER: Meriden Z

PROVIDER: S-EPMC2834881 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature

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Publications

Histologic predictors of fibrosis progression in liver allografts in patients with hepatitis C virus infection.

Meriden Zina Z Forde Kimberly A KA Pasha Theresa L TL Hui Jia-Ji JJ Reddy K Rajender KR Furth Emma E EE Wells Rebecca G RG

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association 20091112 3

<h4>Background & aims</h4>Recurrent hepatitis C with ensuing fibrosis is the leading cause of liver allograft loss. We investigated whether histologic features in early posttransplant liver biopsies could predict the rate of fibrosis progression in this population.<h4>Methods</h4>From 1999 to 2007 there were 476 liver transplants performed for hepatitis C at our center. We reviewed all available posttransplant biopsies for these patients; patients were categorized as rapid, intermediate, or slow ...[more]

PMID: 19913638

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Project description:Knowing the rate of liver fibrosis progression in hepatitis C virus (HCV)-infected persons can help inform patients and providers (clinicians, medical institutions or organizations, and third-party payers) in making treatment decisions.To determine the rate and factors associated with liver fibrosis progression and hepatic decompensation in persons after acquiring HCV infection.Secondary data analysis of persons in the Electronically Retrieved Cohort of HCV Infected Veterans (ERCHIVES), a national Veterans Affairs (VA) database, between 2002 and 2012. Among 610?514 persons in ERCHIVES (half were HCV positive), we identified those with an initial negative and subsequent positive test result for HCV antibody and positive HCV RNA test result (HCV+). Controls had 2 negative HCV antibody test results (HCV-) in a comparable time frame and were matched 1:1 on age (in 5-year blocks), race, and sex. We excluded persons with human immunodeficiency virus, hepatitis B, less than 24 months of follow-up, hepatocellular carcinoma, and cirrhosis at baseline.Progression of liver fibrosis as estimated by the Fibrosis-4 (FIB-4) index; development of cirrhosis, defined by a FIB-4 score greater than 3.5; and development of hepatic decompensation.The evaluable data set consisted of 1840 persons who were HCV+ and 1840 HCV- controls. The HCV+ persons were younger and had a lower mean (SD) body mass index (27.39 [5.51] vs 29.49 [6.16]; P?<?.001), a higher prevalence of alcohol and drug abuse and dependence diagnoses, and higher serum aminotransferase levels, but had a lower prevalence of diabetes and hypertension. Fibrosis progression started early after infection among HCV+ persons and tapered off after 5 years. A total of 452 cirrhosis and 85 hepatic decompensation events were recorded. After 10 years of follow-up, HCV+ persons were more likely to have a diagnosis of cirrhosis compared with HCV- controls (18.4% vs 6.1%). Nine years after diagnosis of cirrhosis, hepatic decompensation events were uncommon but had a higher rate in the HCV+ group (1.79% vs 0.33%).Persons who seroconverted for HCV have a more rapid progression of liver fibrosis and accelerated time to development of cirrhosis after seroconversion compared with HCV- controls. Fibrosis progression occurs early after infection; however, hepatic decompensation is uncommon after diagnosis of cirrhosis.

Project description:BACKGROUND: Chronic infection with hepatitis C virus (HCV) is a risk factor for liver diseases such as fibrosis, cirrhosis and hepatocellular carcinoma. HCV genetic heterogeneity was hypothesized to be associated with severity of liver disease. However, no reliable viral markers predicting disease severity have been identified. Here, we report the utility of sequences from 3 HCV 1b genomic regions, Core, NS3 and NS5b, to identify viral genetic markers associated with fast and slow rate of fibrosis progression (RFP) among patients with and without liver transplantation (n = 42). METHODS: A correlation-based feature selection (CFS) method was used to detect and identify RFP-relevant viral markers. Machine-learning techniques, linear projection (LP) and Bayesian Networks (BN), were used to assess and identify associations between the HCV sequences and RFP. RESULTS: Both clustering of HCV sequences in LP graphs using physicochemical properties of nucleotides and BN analysis using polymorphic sites showed similarities among HCV variants sampled from patients with a similar RFP, while distinct HCV genetic properties were found associated with fast or slow RFP. Several RFP-relevant HCV sites were identified. Computational models parameterized using the identified sites accurately associated HCV strains with RFP in 70/30 split cross-validation (90-95% accuracy) and in validation tests (85-90% accuracy). Validation tests of the models constructed for patients with or without liver transplantation suggest that the RFP-relevant genetic markers identified in the HCV Core, NS3 and NS5b genomic regions may be useful for the prediction of RFP regardless of transplant status of patients. CONCLUSIONS: The apparent strong genetic association to RFP suggests that HCV genetic heterogeneity has a quantifiable effect on severity of liver disease, thus presenting opportunity for developing genetic assays for measuring virulence of HCV strains in clinical and public health settings.

Dataset Information

Histologic predictors of fibrosis progression in liver allografts in patients with hepatitis C virus infection.

Background & aims

Methods

Results

Conclusions

Publications

Histologic predictors of fibrosis progression in liver allografts in patients with hepatitis C virus infection.

Similar Datasets

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