PRO-C3: a new and more precise collagen marker for liver fibrosis in patients with chronic hepatitis C.

OBJECTIVE: Detecting significant fibrosis and cirrhosis remains important in treatment and follow-up of patients with chronic hepatitis C Infection (CHC). The aim of this study was to assess the ability of PRO-C3 to identify significant fibrosis (Ishak score ≥3) and cirrhosis (Ishak score ≥5) both as a single test and as a part of algorithms. MATERIALS AND METHODS: PRO-C3 was assessed in baseline samples from the NORDynamIC trial. 270 patients were stratified into groups according to baseline biopsy. Baseline APRI, FIB-4 and GUCI scores were available for comparison in 232 patients. RESULTS: PRO-C3 increased with Ishak scores (p = .001). Area under the curve (AUC) for significant fibrosis was 0.75 (95% CI 0.68-0.81) and 0.76 (95% CI 0.68-0.84) for cirrhosis. FIB-4, APRI and GUCI had similar AUCs. In a PRO-C3 algorithm including age, platelet count, body mass index (BMI) and international normalised ratio (INR), the diagnostic efficacy improved to 0.85 (CI 0.80-0.89) and 0.90 (IQR 0.84-0.96) for significant fibrosis and cirrhosis, respectively. CONCLUSIONS: In our study, PRO-C3 was an independent predictor of fibrosis stage, and may play an important role in managing CHC patients.

Mortality Rates in Patients With Chronic Hepatitis C and Cirrhosis Compared With the General Population: A Danish Cohort Study.

BACKGROUND: Knowledge about mortality rates (MRs) in patients with chronic hepatitis C (CHC) with cirrhosis is limited. This study aimed to estimate all-cause MRs among patients with CHC with or without cirrhosis in Denmark compared with the general population. METHODS: Patients registered in the Danish Database for Hepatitis B and C with CHC and a liver fibrosis assessment were eligible for inclusion. Liver fibrosis was assessed by means of liver biopsy, transient elastography, and clinical cirrhosis. Up to 20 sex- and age-matched individuals per patient were identified in the general population. Data were extracted from nationwide registries. RESULTS: A total of 3410 patients with CHC (1014 with cirrhosis), and 67 315 matched individuals were included. Adjusted MR ratios (MRRs) between patients with or without cirrhosis and their comparison cohorts were 5.64 (95% confidence interval [CI], 4.76-6.67) and 1.94 (1.55-2.42), respectively. Cirrhosis among patients was associated with an MRR of 4.03 (95% CI, 3.43-4.72). A cure for CHC was associated with an MRR of 0.64 (95% CI, 0.40-1.01) among cirrhotic patients and 2.33 (1.47-3.67) compared with the general population. CONCLUSIONS: MRs were high among patients with CHC with or without cirrhosis compared with the general population. Curing CHC was associated with a reduction in MR among cirrhotic patients, but the MR remained higher than the general population.

Late Presentation for Care Among Patients With Chronic Hepatitis C: Prevalence and Risk Factors.

Patients with chronic hepatitis C may have advanced fibrosis at first evaluation. Using the European Association for the Study of the Liver (EASL) definition (FibroScan® >9.5 kPa) for "late presenter for care" (LP), we found that 32% (169 of 527) of patients were LP. Being a LP was associated with increasing age and a history of alcohol overuse.

A novel fibrosis index comprising a non-cholesterol sterol accurately predicts HCV-related liver cirrhosis.

Diagnosis of liver cirrhosis is essential in the management of chronic hepatitis C virus (HCV) infection. Liver biopsy is invasive and thus entails a risk of complications as well as a potential risk of sampling error. Therefore, non-invasive diagnostic tools are preferential. The aim of the present study was to create a model for accurate prediction of liver cirrhosis based on patient characteristics and biomarkers of liver fibrosis, including a panel of non-cholesterol sterols reflecting cholesterol synthesis and absorption and secretion. We evaluated variables with potential predictive significance for liver fibrosis in 278 patients originally included in a multicenter phase III treatment trial for chronic HCV infection. A stepwise multivariate logistic model selection was performed with liver cirrhosis, defined as Ishak fibrosis stage 5-6, as the outcome variable. A new index, referred to as Nordic Liver Index (NoLI) in the paper, was based on the model: Log-odds (predicting cirrhosis) = -12.17+ (age × 0.11) + (BMI (kg/m(2)) × 0.23) + (D7-lathosterol (µg/100 mg cholesterol)×(-0.013)) + (Platelet count (x10(9)/L) × (-0.018)) + (Prothrombin-INR × 3.69). The area under the ROC curve (AUROC) for prediction of cirrhosis was 0.91 (95% CI 0.86-0.96). The index was validated in a separate cohort of 83 patients and the AUROC for this cohort was similar (0.90; 95% CI: 0.82-0.98). In conclusion, the new index may complement other methods in diagnosing cirrhosis in patients with chronic HCV infection.