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PRO-C3: a new and more precise collagen marker for liver fibrosis in patients with chronic hepatitis C.

AbstractOBJECTIVE:
Detecting significant fibrosis and cirrhosis remains important in treatment and follow-up of patients with chronic hepatitis C Infection (CHC). The aim of this study was to assess the ability of PRO-C3 to identify significant fibrosis (Ishak score ≥3) and cirrhosis (Ishak score ≥5) both as a single test and as a part of algorithms.
MATERIALS AND METHODS:
PRO-C3 was assessed in baseline samples from the NORDynamIC trial. 270 patients were stratified into groups according to baseline biopsy. Baseline APRI, FIB-4 and GUCI scores were available for comparison in 232 patients.
RESULTS:
PRO-C3 increased with Ishak scores (p = .001). Area under the curve (AUC) for significant fibrosis was 0.75 (95% CI 0.68-0.81) and 0.76 (95% CI 0.68-0.84) for cirrhosis. FIB-4, APRI and GUCI had similar AUCs. In a PRO-C3 algorithm including age, platelet count, body mass index (BMI) and international normalised ratio (INR), the diagnostic efficacy improved to 0.85 (CI 0.80-0.89) and 0.90 (IQR 0.84-0.96) for significant fibrosis and cirrhosis, respectively.
CONCLUSIONS:
In our study, PRO-C3 was an independent predictor of fibrosis stage, and may play an important role in managing CHC patients.
AuthorsJanne Fuglsang Hansen, Mette Juul Nielsen, Kristina Nyström, Diana Julie Leeming, Martin Lagging, Gunnar Norkrans, Peer Brehm Christensen, Morten Karsdal
JournalScandinavian journal of gastroenterology (Scand J Gastroenterol) Vol. 53 Issue 1 Pg. 83-87 (Jan 2018) ISSN: 1502-7708 [Electronic] England
PMID29069995 (Publication Type: Journal Article, Multicenter Study)
Chemical References
  • Biomarkers
  • Collagen Type III
Topics
  • Adult
  • Area Under Curve
  • Biomarkers (blood)
  • Collagen Type III (blood)
  • Denmark
  • Enzyme-Linked Immunosorbent Assay
  • Female
  • Hepatitis C, Chronic (blood, complications, physiopathology)
  • Humans
  • Liver (pathology)
  • Liver Cirrhosis (diagnosis, etiology)
  • Logistic Models
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Randomized Controlled Trials as Topic

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