Systematic review and meta-analysis of the diagnostic accuracy of fibrosis marker panels in patients with HIV/hepatitis C coinfection

HIV Clin Trials. 2008 Jan-Feb;9(1):43-51. doi: 10.1310/hct0901-43.

Abstract

Background: Accurately staging hepatitis C virus (HCV)-related fibrosis is crucial for treatment decisions and prognostication. Our objective was to systematically review studies describing the accuracy of serum marker panels for predicting fibrosis in HIV/HCV-coinfected patients.

Method: Studies comparing serum marker panels with biopsy in HIV/HCV-coinfected patients were identified. Random effects meta-analyses and areas under summary receiver operating characteristics curves (AUC) examined test accuracy for detecting significant fibrosis (F2-4) and cirrhosis. Heterogeneity was explored using meta-regression.

Results: Five studies (n = 574) including four fibrosis measures (APRI [n = 4 studies], Forns' [n = 2], FibroTest [n = 1], SHASTA [n = 1]) met the inclusion criteria. The prevalence of significant fibrosis and cirrhosis were 51% and 16%, respectively. For the prediction of significant fibrosis, the summary AUC was 0.82 (95% CI 0.78-86) and diagnostic odds ratio was 7.8 (5.1-11.9). For cirrhosis, these figures were 0.83 (0.69-0.97) and 11.0 (4.6-26.2), respectively. Meta-regression including study factors (methodological quality and biopsy adequacy), patient characteristics (age, gender, CD4 count), and fibrosis measure failed to identify important predictors of accuracy.

Conclusion: Available fibrosis marker panels have acceptable performance for identifying significant fibrosis and cirrhosis in HIV/HCV-coinfected patients but are not yet adequate to replace liver biopsy. Additional studies are necessary to identify the optimal measure.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Review
  • Systematic Review

MeSH terms

  • Adult
  • Biomarkers / blood*
  • Female
  • HIV Infections / complications*
  • HIV Infections / virology
  • Hepatitis C / complications*
  • Hepatitis C / virology
  • Humans
  • Liver Cirrhosis / diagnosis*
  • Liver Cirrhosis / virology
  • Male
  • Middle Aged

Substances

  • Biomarkers