Dataset Information

A prognostic model for development of significant liver fibrosis in HIV-hepatitis C co-infection.

ABSTRACT:

Background

Liver fibrosis progresses rapidly in HIV-Hepatitis C virus (HCV) co-infected individuals partially due to heightened inflammation. Immune markers targeting stages of fibrogenesis could aid in prognosis of fibrosis.

Methods

A case-cohort study was nested in the prospective Canadian Co-infection Cohort (n = 1119). HCV RNA positive individuals without fibrosis, end-stage liver disease or chronic Hepatitis B at baseline (n = 679) were eligible. A random subcohort (n = 236) was selected from those eligible. Pro-fibrogenic markers and Interferon Lambda (IFNL) rs8099917 genotype were measured from first available sample in all fibrosis cases (APRI ? 1.5 during follow-up) and the subcohort. We used Cox proportional hazards and compared Model 1 (selected clinical predictors only) to Model 2 (Model 1 plus selected markers) for predicting 3-year risk of liver fibrosis using weighted Harrell's C and Net Reclassification Improvement indices.

Results

113 individuals developed significant liver fibrosis over 1300 person-years (8.63 per 100 person-years 95% CI: 7.08, 10.60). Model 1 (age, sex, current alcohol use, HIV RNA, baseline APRI, HCV genotype) was nested in model 2, which also included IFNL genotype and IL-8, sICAM-1, RANTES, hsCRP, and sCD14. The C indexes (95% CI) for model 1 vs. model 2 were 0.720 (0.649, 0.791) and 0.756 (0.688, 0.825), respectively. Model 2 classified risk more appropriately (overall net reclassification improvement, p<0.05).

Conclusions

Including IFNL genotype and inflammatory markers IL-8, sICAM-1, RANTES, hs-CRP, and sCD14 enabled better prediction of the 3-year risk of significant liver fibrosis over clinical predictors alone. Whether this modest improvement in prediction justifies their additional cost requires further cost-benefit analyses.

SUBMITTER: Moqueet N

PROVIDER: S-EPMC5415136 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Publications

A prognostic model for development of significant liver fibrosis in HIV-hepatitis C co-infection.

Moqueet Nasheed N Kanagaratham Cynthia C Gill M John MJ Hull Mark M Walmsley Sharon S Radzioch Danuta D Saeed Sahar S Platt Robert W RW Klein Marina B MB

PloS one 20170503 5

<h4>Background</h4>Liver fibrosis progresses rapidly in HIV-Hepatitis C virus (HCV) co-infected individuals partially due to heightened inflammation. Immune markers targeting stages of fibrogenesis could aid in prognosis of fibrosis.<h4>Methods</h4>A case-cohort study was nested in the prospective Canadian Co-infection Cohort (n = 1119). HCV RNA positive individuals without fibrosis, end-stage liver disease or chronic Hepatitis B at baseline (n = 679) were eligible. A random subcohort (n = 236) ...[more]

PMID: 28467457

Similar Datasets

Project description:Chronic hepatitis B (CHB) virus continues to be a leading cause of morbidity and mortality worldwide. The diagnosis of liver fibrosis has a key role in selecting patients with CHB for antiviral treatment. However, serum biomarkers demonstrate limited diagnostic utility. The present study aimed to compare the performances of fibrosis biomarkers for diagnosing significant liver fibrosis that indicates the need for antiviral therapy in patients with CHB and to identify the most appropriate biomarker for these patients. The current study included 96 antiviral-naïve patients with CHB who underwent liver biopsy. METAVIR scoring system was used to assess liver fibrosis and necroinflammation. The diagnostic performances were evaluated of the platelet (PLT) count; the levels of hyaluronan, serum 7S domain of type 4 collagen, procollagen type III N-terminal peptide, tissue inhibitor of metalloproteinases 1, Mac-2 binding protein glycosylation isomer (M2BPGi) and N-terminal type III collagen propeptide (Pro-C3); the fibrosis index based on four factors; the aspartate aminotransferase-to-platelet ratio index; and enhanced liver fibrosis score for identifying significant liver fibrosis [?fibrosis stage 2 (F2)]. All fibrosis biomarkers, except the Pro-C3 level, correlated with the fibrosis stage. M2BPGi was better than other biomarkers for diagnosing ?F2, with the highest area under the curve of 0.902. M2BPGi demonstrated a higher diagnostic accuracy for significant fibrosis than mild/severe fibrosis or cirrhosis. However, no significant correlation was observed between the M2BPGi level and fibrosis stage in patients with CHB having significant liver necroinflammation defined as ? necroinflammatory activity 2. The M2BPGi level and PLT count were exclusively correlated with the fibrosis stage in 73 patients without significant liver necroinflammation. M2BPGi demonstrated the highest diagnostic performance for significant fibrosis in patients having significant liver fibrosis with no significant liver necroinflammation. In conclusion, the M2BPGi level can accurately diagnose significant liver fibrosis that indicates the need for antiviral therapy in patients with CHB.

Dataset Information

A prognostic model for development of significant liver fibrosis in HIV-hepatitis C co-infection.

Background

Methods

Results

Conclusions

Publications

A prognostic model for development of significant liver fibrosis in HIV-hepatitis C co-infection.

Similar Datasets

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