Application of transient elastometry to differentiate mild from moderate to severe liver fibrosis in HIV/HCV co-infected patients

J Hepatol. 2008 Dec;49(6):916-22. doi: 10.1016/j.jhep.2008.07.031. Epub 2008 Oct 1.

Abstract

Background/aims: Transient elastometry (TE) is accurate for detecting cirrhosis (F=4) in human immunodeficiency virus (HIV)/hepatitis C virus (HCV) co-infected patients. However, this procedure is less precise to differentiate mild (F < or = 1) from moderate to severe (F > or = 2) fibrosis using the cut-off value of 7.2kPa, a level previously proposed by some authors. Because of this, we elaborated and validated cut-off values of liver stiffness (LS) to better discriminate F < or = 1 from F > or = 2 in HIV/HCV co-infected subjects to aid therapy decisions.

Methods: One hundred and ninety-seven co-infected patients with liver biopsy and TE measurement, without prior therapy against HCV infection, were included.

Results: To diagnose F < or = 2, a cut-off of 9.0kPa showed a positive predictive value of 87%. To discard F > or = 2, a cut-off of 6.0kPa showed a negative predictive value of 90%. Considering all the patients, 61 (31%) patients yielded LS values < or = 6.0kPa and 81 (41%) patients showed LS values > or = 9.0kPa. There were no severe classification errors as the NPV of L < or = S6.0kPa for F > or = 3 was 100% and the NPV LS > or = 9.0kPa for F=0 was also 100%.

Conclusions: The usefulness of TE can be enhanced using two different cut-off values to identify patients with F < or = 1 and F > or = 2.

Publication types

  • Clinical Trial
  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Aged
  • Biopsy
  • Diagnostic Techniques, Digestive System / standards*
  • Elasticity
  • Female
  • HIV Infections / complications*
  • Hepatitis C, Chronic / complications*
  • Hepatitis C, Chronic / pathology*
  • Humans
  • Liver / pathology
  • Liver Cirrhosis / pathology*
  • Liver Cirrhosis / virology
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • ROC Curve
  • Reproducibility of Results
  • Severity of Illness Index*