The CUPIC algorithm: an accurate model for the prediction of sustained viral response under telaprevir or boceprevir triple therapy in cirrhotic patients

J Viral Hepat. 2015 Dec;22(12):1002-10. doi: 10.1111/jvh.12433. Epub 2015 Jul 27.

Abstract

Triple therapy using boceprevir or telaprevir remains the reference treatment for genotype 1 chronic hepatitis C in countries where new interferon-free regimens have not yet become available. Antiviral treatment is highly required in cirrhotic patients, but they represent a difficult-to-treat population. We aimed to develop a simple algorithm for the prediction of sustained viral response (SVR) in cirrhotic patients treated with triple therapy. A total of 484 cirrhotic patients from the ANRS CO20 CUPIC cohort treated with triple therapy were randomly distributed into derivation and validation sets. A total of 52.1% of patients achieved SVR. In the derivation set, a D0 score for the prediction of SVR before treatment initiation included the following independent predictors collected at day 0: prior treatment response, gamma-GT, platelets, telaprevir treatment, viral load. To refine the prediction at the early phase of the treatment, a W4 score included as additional parameter the viral load collected at week 4. The D0 and W4 scores were combined in the CUPIC algorithm defining three subgroups: 'no treatment initiation or early stop at week 4', 'undetermined' and 'SVR highly probable'. In the validation set, the rates of SVR in these three subgroups were, respectively, 11.1%, 50.0% and 82.2% (P < 0.001). By replacing the variable 'prior treatment response' with 'IL28B genotype', another algorithm was derived for treatment-naïve patients with similar results. The CUPIC algorithm is an easy-to-use tool that helps physicians weigh their decision between immediately treating cirrhotic patients using boceprevir/telaprevir triple therapy or waiting for new drugs to become available in their country.

Keywords: boceprevir; cirrhosis; hepatitis C virus; sustained viral response; telaprevir.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Algorithms*
  • Antiviral Agents / therapeutic use
  • Drug Therapy, Combination
  • Female
  • Hepacivirus / drug effects
  • Hepatitis C, Chronic / drug therapy*
  • Humans
  • Interferon-alpha / therapeutic use
  • Liver Cirrhosis / drug therapy*
  • Liver Cirrhosis / virology
  • Male
  • Middle Aged
  • Models, Theoretical
  • Oligopeptides / therapeutic use*
  • Polyethylene Glycols / therapeutic use
  • Proline / analogs & derivatives*
  • Proline / therapeutic use
  • Random Allocation
  • Ribavirin / therapeutic use
  • Treatment Outcome
  • Viral Load / drug effects

Substances

  • Antiviral Agents
  • Interferon-alpha
  • Oligopeptides
  • Polyethylene Glycols
  • Ribavirin
  • telaprevir
  • N-(3-amino-1-(cyclobutylmethyl)-2,3-dioxopropyl)-3-(2-((((1,1-dimethylethyl)amino)carbonyl)amino)-3,3-dimethyl-1-oxobutyl)-6,6-dimethyl-3-azabicyclo(3.1.0)hexan-2-carboxamide
  • Proline