title: Non invasive prediction of severe fibrosis in patients with alcoholic liver disease.
abstract: OBJECTIVE
  The aim of this study was to assess the diagnostic accuracy of noninvasive markers of liver fibrosis in alcoholic liver disease.
  
  
  METHODS
  Fifty-four clinical and biochemical parameters including serum fibrosis markers (hyaluronate and transforming growth factor beta1) were analyzed in 146 consecutive heavy drinkers (106 men, 40 women; mean age 49.2 years). Following liver biopsy, fibrosis was evaluated using a semi-quantitative scoring system (no fibrosis (0) to severe fibrosis (3 + )). Multivariate analysis was performed to determine the markers that were best correlated with the fibrosis score.
  
  
  RESULTS
  Fifty-nine patients (40.4 %) had severe fibrosis (3 +) while 87 (59.6 %) had no fibrosis or moderate fibrosis (0 to 2 +). In multivariate analysis, serum hyaluronate and the prothrombin index were the best markers for the prediction of severe fibrosis. Hyaluronate and the prothrombin index had a diagnostic accuracy of 91.1 % and 89.7 %, respectively in the whole population. Finally, a significant negative correlation was found between hyaluronate and the prothrombin index (r =- 0.86, P <0.0001).
  
  
  CONCLUSIONS
  Using only hyaluronate and the prothrombin index, 9 out of 10 alcoholic patients can be correctly classified according to the severity of liver fibrosis.
authors.affiliation: Service d'Hépato-Gastroentérologie, Hôpital de l'Archet 2, Nice.
authors.forename: A
authors.initials: A
authors.lastname: Tran
authors.forename: P
authors.initials: P
authors.lastname: Hastier
authors.forename: E M
authors.initials: EM
authors.lastname: Barjoan
authors.forename: N
authors.initials: N
authors.lastname: Demuth
authors.forename: C
authors.initials: C
authors.lastname: Pradier
authors.forename: M C
authors.initials: MC
authors.lastname: Saint-Paul
authors.forename: E
authors.initials: E
authors.lastname: Guzman-Granier
authors.forename: P
authors.initials: P
authors.lastname: Chevallier
authors.forename: C
authors.initials: C
authors.lastname: Tran
authors.forename: F
authors.initials: F
authors.lastname: Longo
authors.forename: S
authors.initials: S
authors.lastname: Schneider
authors.forename: T
authors.initials: T
authors.lastname: Piche
authors.forename: X
authors.initials: X
authors.lastname: Hebuterne
authors.forename: S
authors.initials: S
authors.lastname: Benzaken
authors.forename: P
authors.initials: P
authors.lastname: Rampal
mesh_terms: D000328:Adult; D016632:Apolipoprotein A-I / Q000097:blood; D015415:Biomarkers / Q000097:blood; D001706:Biopsy; D005260:Female; D006801:Humans; D006820:Hyaluronic Acid / Q000097:blood; D008099:Liver / Q000473:pathology; D008104:Liver Cirrhosis, Alcoholic / Q000097:blood / Q000175:diagnosis* / Q000473:pathology; D008108:Liver Diseases, Alcoholic / Q000097:blood / Q000175:diagnosis* / Q000473:pathology; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011516:Prothrombin / Q000032:analysis; D012372:ROC Curve; D016212:Transforming Growth Factor beta / Q000097:blood
chemical_list: D016632:Apolipoprotein A-I; D015415:Biomarkers; D016212:Transforming Growth Factor beta; D011516:Prothrombin; D006820:Hyaluronic Acid