Fibrotest (FT) and Actitest (AT) are biochemical markers of fibrosis and activity for use as a non-invasive alternative to liver biopsy in patients with chronic hepatitis C virus (HCV). The aim of this study was to perform an external validation of FT and AT and to study the discordances between FT/AT and liver biopsy in patients with chronic hepatitis C. A total of 519 consecutive patients with chronic HCV were prospectively included in five centers, with liver biopsy and biochemical markers taken at the same day. Fifteen patients were excluded because their biopsies could not be interpreted. Diagnostic accuracies were assessed by receiver operating characteristic (ROC) curve analysis. Median biopsy size was 15 mm (range: 2–58), with 9 portal tracts (1–37) and 1 fragment (1–12). 46% (230/504) were classified F2–F4 in fibrosis and 39% A2–A3 in activity. FT area under ROC curve for diagnosis of activity (A2–A3), significant fibrosis (F2–F4), and severe fibrosis (F3–F4) were 0.73 [0.69–0.77], 0.79 [0.75–0.82], and 0.80 [0.76–0.83], respectively. Among the 92 patients (18%) with 2 fibrosis stages of discordance between FT and biopsy, the discordance was attributable to FT in 5% of cases, to biopsy in 4%, and undetermined in 9%. This prospective independent and multicenter study confirms the diagnostic value of FT and AT found in the princeps study and suggests that FT and AT can be an alternative to biopsy in most patients with chronic HCV.

Background: The area under the ROC curve (AUC) is widely used to measure the diagnostic accuracy of noninvasive fibrosis indices. However, use of the AUC assumes a binary gold standard, whereas fibrosis staging is based on an ordinal scale and also depends on the distribution of fibrosis stages in the study sample. We explored other fibrosis staging accuracy measures designed for ordinal gold standards, the C-statistic and the Obuchowski measure.Methods: We performed a simulation study to assess the bias in estimating the accuracy measures when the distribution of fibrosis stages in the study sample do not fit the reference distribution in the population to which the indices are applied. We also estimated the type I error of the tests comparing these measures in 2 samples with different distributions of fibrosis stages. We illustrated the practical use of these measures by reanalyzing real data.Results: Compared with the AUC or the C-statistic, the Obuchowski measure showed limited bias when the distribution of fibrosis stages in the study sample differed from the reference distribution. The type I error was strongly inflated with the AUC or the C-statistic but was preserved in the Obuchowski measure. When we compared noninvasive indices on real data, AUC analysis led to discordant results depending on how the fibrosis stages were grouped together. One single conclusion was drawn from the analysis based on the Obuchowski measure.Conclusions: We recommend using the Obuchowski measure for assessing the diagnostic accuracy of noninvasive indices of fibrosis.

Background: In patients with chronic hepatitis C virus, liver biopsy is the gold standard for assessing liver disease stage; nevertheless, it is prone to complications, some of them serious. Non-invasive methods have been proposed as surrogate markers for liver fibrosis. It was shown that serum hyaluronic acid (HA) level increases with the development for liver fibrosis. The aim of this study was to evaluate the diagnostic value of HA as well as to determine the HA level cut-off for predicting the presence or absence of fibrosis, severe fibrosis, and cirrhosis. Results: 405 patients with chronic hepatitis C were prospectively included with biomarker measurement and liver biopsy done the same day: 151 in the training set (only biopsy lengths of 25 mm or more) and 254 in the validation set. For the discrimination of significant fibrosis, severe fibrosis, and cirrhosis in the training set, the areas under curve (AUCs) were 0.75 ± 0.03, 0.82 ± 0.02, and 0.89 ± 0.03, respectively. Absence of significant fibrosis, severe fibrosis, and cirrhosis can be predicted by HA levels of 16, 25, and 50 μg/l, respectively (with negative predictive values of 82%, 89%, and 100%, in the same order). Presence of significant fibrosis, severe fibrosis, and cirrhosis can be predicted by HA levels of 121, 160, and 237 μg/l, respectively (with positive predictive values of 94%, 100%, and 57%, in the same order). Conclusion: In the validation set, HA was accurate in predicting significant fibrosis, severe fibrosis, and cirrhosis with AUCs of 0.73, 0.77, and 0.97, respectively. Moreover, accurate HA level cut-offs were defined for predicting significant fibrosis, severe fibrosis, and cirrhosis. Thus, the study supports that HA level may be clinically useful as a non-invasive marker for liver fibrosis and/or cirrhosis.