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. 2013 Aug;59(2):236-42.
doi: 10.1016/j.jhep.2013.03.016. Epub 2013 Mar 21.

The Enhanced Liver Fibrosis (ELF) score: normal values, influence factors and proposed cut-off values

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The Enhanced Liver Fibrosis (ELF) score: normal values, influence factors and proposed cut-off values

Ralf Lichtinghagen et al. J Hepatol. 2013 Aug.

Erratum in

  • J Hepatol. 2013 Dec;59(6):1365

Abstract

Background & aims: Progressive fibrosis is a major cause of morbidity and mortality in chronic liver disease. To replace liver biopsy for disease staging, multiple serum markers are under evaluation with multiparametric panels yielding the most promising results. The Enhanced Liver Fibrosis (ELF) score is an ECM marker set consisting of tissue inhibitor of metalloproteinases 1 (TIMP-1), amino-terminal propeptide of type III procollagen (PIIINP) and hyaluronic acid (HA) showing good correlations with fibrosis stages in chronic liver disease.

Methods: The ELF score was measured in 400 healthy controls and 79 chronic hepatitis C patients using an ADVIA Centaur automated system. The ELF score was calculated using the published algorithm combining TIMP-1, PIIINP and HA values. Patients' fibrosis stage was defined histologically. ROC analyses were performed to study marker validity. Reference values and influence factors for the ELF score were validated.

Results: ELF score reference values ranged from 6.7 to 9.8 and were significantly higher for men vs. women (7.0-9.9 vs. 6.6-9.3, respectively). Afternoon values were slightly higher than morning values (6.7-9.9 vs. 6.6-9.5, respectively). Age was a notable influence factor. We identified three cut-off values: 7.7 for a high sensitivity exclusion of fibrosis, 9.8 for a high specificity identification of fibrosis (sensitivity 69%, specificity 98% for moderate fibrosis), and 11.3 to discriminate cirrhosis (sensitivity 83%, specificity 97%). ELF score validity was superior to the results of the single tests.

Conclusions: The ELF score can predict moderate fibrosis and cirrhosis. However, influence factors such as gender and age need to be taken into account.

Keywords: ALT; AP; AST; AUC; CHC; CI; Cirrhosis; ECM; ELF; ELF score; HA; HCV; HSC; Hyaluronate; Hyaluronic acid; Kcal; Liver fibrosis; PIIINP; ROC; TIMP; TIMP-1; alanine aminotransferase; alkaline phosphatase; amino-terminal propeptide of type III procollagen; area under the curve.; aspartate aminotransferase; chronic hepatitis C; confidence interval; enhanced liver fibrosis; extracellular matrix; gamma-glutamyltransferase; hepatic stellate cells; hepatitis C virus; hyaluronic acid; kilocalories; receiver operating characteristics; tissue inhibitor of metalloproteinases 1; γGT.

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