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Enhanced liver fibrosis panel as a predictor of liver fibrosis in chronic hepatitis C patients. BACKGROUND: Evaluation of fibrosis is crucial in the assessment of chronic hepatitis C (CHC). The enhanced liver fibrosis (ELF) is a serological panel including hyaluronic acid (HA), tissue inhibitor of matrix metalloproteinases-1 (TIMP-1), and amino-terminal propeptide of type III procollagen (PIIINP) that has shown good results in predicting liver fibrosis in distinct scenarios of chronic liver diseases. AIMS: We aimed to assess the performance of ELF on the detection of fibrosis and cirrhosis in a CHC patient cohort and to compare the results of ELF and transient elastography (TE-Fibroscan) using liver biopsy as reference. PATIENTS AND METHODS: One hundred twenty patients were prospectively evaluated by TE and ELF using an ADVIA Centaur automated system. The ELF score was calculated using the manufacturer's algorithm. Biopsies were classified according to the METAVIR score. Receiver operator characteristic curve analyses were performed to evaluate the accuracy of ELF and TE. RESULTS: The area under the receiver operator characteristic curve (AUROC) of ELF for the diagnosis of significant fibrosis was 0.81 [95% confidence interval (CI), 0.73-0.87], for advanced fibrosis was 0.82 (95% CI, 0.74-0.88), and for cirrhosis was 0.78 (95% CI, 0.70-0.85). Using the proposed cutoffs, ELF overestimated fibrosis in 66% (81/120) of cases and underestimated in 3% (3/120). We found no statistically significant difference when comparing the AUROC of ELF and TE for diagnosing fibrosis or cirrhosis. CONCLUSIONS: ELF panel is a good noninvasive fibrosis marker and showed similar results to TE in CHC patients. However, new cutoff points need to be established to improve its performance on patients with CHC.