An IL28B genotype-based clinical prediction model for treatment of chronic hepatitis C.

ABSTRACT:

Background

Genetic variation in IL28B and other factors are associated with sustained virological response (SVR) after pegylated-interferon/ribavirin treatment for chronic hepatitis C (CHC). Using data from the HALT-C Trial, we developed a model to predict a patient's probability of SVR based on IL28B genotype and clinical variables.

Methods

HALT-C enrolled patients with advanced CHC who had failed previous interferon-based treatment. Subjects were re-treated with pegylated-interferon/ribavirin during trial lead-in. We used step-wise logistic regression to calculate adjusted odds ratios (aOR) and create the predictive model. Leave-one-out cross-validation was used to predict a priori probabilities of SVR and determine area under the receiver operator characteristics curve (A

SUBMITTER: O'Brien TR 

PROVIDER: S-EPMC3132753 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature