title: Identifying HCV genotype 1 patients at risk of relapse.
abstract: OBJECTIVE
  The objective of this analysis was to identify predictors of relapse in genotype 1 patients after 48 weeks of treatment with peginterferon plus ribavirin.
  
  
  METHODS
  Retrospective analysis of data from treatment-naive genotype 1 patients with an end-of-treatment response after 48 weeks of treatment with peginterferon alpha-2a plus ribavirin 1000/1200 mg/day in the Canadian Pegasys Expanded Access Program.
  
  
  RESULTS
  Among treatment-naive genotype 1 patients with an end-of-treatment response (n = 432), the sustained virological response status was known for 405 individuals (sustained virological response n = 328, 81%; relapse n = 77, 19%). Early virological response rates at week 12 were similar in relapsers (98.7%) and sustained responders (98.5%). More relapsers (12 of 77, 15.6%) than sustained responders (15 of 328, 4.6%) had quantifiable hepatitis C virus (HCV) RNA (>or=600 IU/ml) at week 12 and, among these patients, mean and maximum HCV RNA levels were higher in relapsers, although the median values were similar. Factors significantly associated with relapse in the multiple logistic regression analysis include older age (odds ratio: 1.48 per decade, 95% confidence interval: 1.06-2.07; P = 0.023), Caucasian ethnicity (odds ratio: 3.23, confidence interval: 1.25-8.33; P = 0.016), higher baseline serum HCV RNA level (P = 0.005), the drop in HCV RNA between baseline and week 12 (P = 0.026), and the interaction between baseline HCV RNA level and the decrease in HCV RNA between baseline and week 12 (P = 0.032).
  
  
  CONCLUSIONS
  Older age, Caucasian ethnicity, and high baseline HCV RNA level, and a smaller decrease in HCV RNA between baseline and week 12 predict a relapse in genotype 1 patients.
authors.affiliation: Royal Victoria Hospital, Montreal, Quebec, Canada. marc.deschenes@muhc.mcgill.ca
authors.forename: Marc
authors.initials: M
authors.lastname: Deschênes
authors.forename: Vincent G
authors.initials: VG
authors.lastname: Bain
authors.forename: Samuel S
authors.initials: SS
authors.lastname: Lee
authors.forename: Morris
authors.initials: M
authors.lastname: Sherman
authors.forename: Curtis L
authors.initials: CL
authors.lastname: Cooper
authors.forename: Eric M
authors.initials: EM
authors.lastname: Yoshida
authors.forename: Paul J
authors.initials: PJ
authors.lastname: Marotta
authors.forename: Mel
authors.initials: M
authors.lastname: Krajden
authors.forename: Christopher
authors.initials: C
authors.lastname: Usaty
authors.forename: Robert
authors.initials: R
authors.lastname: Balshaw
authors.forename: Kevork M
authors.initials: KM
authors.lastname: Peltekian
mesh_terms: D000328:Adult; D017677:Age Distribution; D000998:Antiviral Agents / Q000627:therapeutic use*; D024882:Drug Resistance, Viral / Q000235:genetics; D004359:Drug Therapy, Combination; D005260:Female; D005838:Genotype; D016174:Hepacivirus / Q000187:drug effects / Q000235:genetics*; D019698:Hepatitis C, Chronic / Q000188:drug therapy / Q000453:epidemiology / Q000821:virology; D006801:Humans; D000077190:Interferon alpha-2; D016898:Interferon-alpha / Q000627:therapeutic use*; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011092:Polyethylene Glycols / Q000627:therapeutic use*; D011237:Predictive Value of Tests; D012367:RNA, Viral / Q000235:genetics; D011994:Recombinant Proteins; D012008:Recurrence; D012189:Retrospective Studies; D012254:Ribavirin / Q000627:therapeutic use*; D012307:Risk Factors; D044465:White People / Q000706:statistics & numerical data
chemical_list: D000998:Antiviral Agents; D000077190:Interferon alpha-2; D016898:Interferon-alpha; D012367:RNA, Viral; D011994:Recombinant Proteins; D011092:Polyethylene Glycols; D012254:Ribavirin; C100416:peginterferon alfa-2a