Diagnostic value of multiple biomarker panel for prediction of significant fibrosis in chronic hepatitis C

Seung Ha Park1, Chang Hoon Kim, Dong Joon Kim

  • 1Department of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea.

Clinical Biochemistry
|October 6, 2011
PubMed

Insights

New biomarkers offer modest improvement for predicting liver fibrosis in chronic hepatitis C patients. The multibiomarker score, while a predictor, minimally enhances the existing AST to platelet ratio index (APRI) test.

Area of Science:

  • Hepatology
  • Biomarker Discovery
  • Diagnostic Accuracy

Background:

  • Assessing liver fibrosis in chronic hepatitis C (CHC) is crucial for patient management.
  • Existing noninvasive tests, like the AST to platelet ratio index (APRI), are simple but may lack comprehensive predictive power.

Purpose of the Study:

  • To evaluate the incremental value of seven novel biomarkers in predicting significant liver fibrosis in CHC patients.
  • To determine if these biomarkers improve upon the diagnostic accuracy of the established APRI score.

Main Methods:

  • Seven biomarkers (haptoglobin, apolipoprotein A1, α2-macroglobulin, hyaluronic acid, type III procollagenic peptide, matrix metalloproteinase-2, tissue inhibitor of metalloproteinase-1) were measured in 91 CHC patients.
  • A multibiomarker score was developed and its predictive performance for significant fibrosis was assessed, both independently and in combination with APRI.

Main Results:

  • The multibiomarker score independently predicted significant fibrosis (APRI-adjusted odds ratio, 2.41).
  • Incorporating the multibiomarker score into APRI resulted in a minor improvement in diagnostic accuracy (0.83 vs. 0.79), which was not statistically significant (p=0.19).

Conclusions:

  • The seven contemporary biomarkers studied provide only a modest additional benefit for assessing significant fibrosis in individual CHC patients.
  • The readily available, simple noninvasive index (APRI) remains a primary tool, with limited enhancement from these specific novel biomarkers.
Abstract