title: Prospective comparison of two algorithms combining non-invasive methods for staging liver fibrosis in chronic hepatitis C.
abstract: OBJECTIVE
  Non-invasive assessment of liver fibrosis is a challenging area. Several methods have been proposed in patients with chronic hepatitis C (CHC) but their performance may be improved when they are combined as suggested by recently proposed algorithms using either transient elastography (TE) and Fibrotest (FT) (Castera) or AST-to-Platelet Ratio Index (APRI) and FT (SAFE biopsy). The aim of this prospective study was to compare the performance of these two algorithms for diagnosing significant fibrosis and cirrhosis in 302 CHC patients.
  
  
  METHODS
  All patients underwent TE, FT and APRI the same day as liver biopsy, taken as reference standard.
  
  
  RESULTS
  Significant fibrosis (Metavir F>or=2) was present in 76% of patients and cirrhosis (F4) in 25%. TE failure was observed in eight cases (2.6%). For significant fibrosis, Castera algorithm saved 23% more liver biopsies (71.9% vs. 48.3%, respectively; p<0.0001) than SAFE biopsy but its accuracy was significantly lower (87.7% vs. 97.0%, respectively; p<0.0001). Regarding cirrhosis, accuracy of Castera algorithm was significantly higher than that of SAFE biopsy (95.7% vs. 88.7%, respectively; p<0.0001). The number of saved liver biopsies did not differ between the two algorithms (78.8% vs. 74.8%; p=NS).
  
  
  CONCLUSIONS
  Both algorithms are effective for non-invasive staging of liver fibrosis in chronic hepatitis C. Although the number of liver biopsies avoided does not differ between algorithms for diagnosing cirrhosis, it is significantly higher with Castera algorithm than SAFE biopsy for significant fibrosis.
authors.affiliation: Service d'Hépato-Gastroentérologie, Hôpital Haut-Lévêque, Centre Hospitalier Universitaire (C.H.U.) de Bordeaux, Pessac, France. laurent.castera@chu-bordeaux.fr
authors.forename: Laurent
authors.initials: L
authors.lastname: Castéra
authors.forename: Giada
authors.initials: G
authors.lastname: Sebastiani
authors.forename: Brigitte
authors.initials: B
authors.lastname: Le Bail
authors.forename: Victor
authors.initials: V
authors.lastname: de Lédinghen
authors.forename: Patrice
authors.initials: P
authors.lastname: Couzigou
authors.forename: Alfredo
authors.initials: A
authors.lastname: Alberti
mesh_terms: D000328:Adult; D000410:Alanine Transaminase / Q000097:blood; D000465:Algorithms; D015415:Biomarkers / Q000097:blood; D001707:Biopsy, Needle; D015331:Cohort Studies; D054459:Elasticity Imaging Techniques; D005260:Female; D018937:Hepatitis C Antibodies / Q000097:blood; D019698:Hepatitis C, Chronic / Q000097:blood / Q000150:complications* / Q000175:diagnosis*; D006801:Humans; D008103:Liver Cirrhosis / Q000097:blood / Q000175:diagnosis* / Q000209:etiology*; D008297:Male; D008875:Middle Aged; D010976:Platelet Count; D011446:Prospective Studies; D012367:RNA, Viral / Q000097:blood
chemical_list: D015415:Biomarkers; D018937:Hepatitis C Antibodies; D012367:RNA, Viral; D000410:Alanine Transaminase