Surveillance for Antiviral Resistant Variants in Chronic Hepatitis C Patients (SEARCH-C)

March 4, 2024 updated by: Kirby Institute
This is a multi-centre prospective longitudinal cohort study with the aim of collecting and storing clinical data, patient blood, DNA and PBMCs to examine outcomes related to drug resistance, drug monitoring and host genetics in the era of directly acting antiviral drugs for hepatitis C therapy.

Study Overview

Status

Completed

Detailed Description

  1. To analyse for resistance-associated HCV variants in DAA-naïve HCV patients using population and ultra-deep pyrosequencing (UDPS). Resistance associated variants will be analysed by qualitative and quantitative methods both pre-treatment and on-treatment.
  2. To determine whether in the absence of drug pressure there is variation in the prevalence of naturally occurring resistance associated variants.
  3. To correlate the presence and frequency of baseline resistance-associated variants with the response to therapy with DAA-based triple therapy regimens for HCV.
  4. To identify predictors of emergent DAA resistance and treatment failure during therapy with DAA-based combination strategies, including virological, clinical and immunological factors.
  5. To characterize the natural history of HCV resistance associated variants that are selected during antiviral therapy after the withdrawal of treatment.
  6. To establish a cohort of DAA-treatment failure patients suitable for re-treatment studies.
  7. To establish a tissue repository of serum and PBMCs from well-characterized patients treated with DAA-based triple therapy to allow future examination of the role of other variables that may potentially impact on the outcomes of DAA based therapy and development of RAVs.

Study Type

Observational

Enrollment (Actual)

100

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • New South Wales
      • Sydney, New South Wales, Australia, 2010
        • St Vincent's Hospital
    • Victoria
      • Melbourne, Victoria, Australia, 3065
        • St Vincent's Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

16 years and older (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

An anticipated 100 participants will be recruited from 2 study sites: St Vincent's Hospital, Sydney; St Vincent's Hospital, Melbourne.

Description

Inclusion Criteria:

  • Chronic hepatitis C infection
  • Commencing or expected to commence DAA-based HCV treatment within the next year
  • IFN treatment-naïve or IFN treatment-experienced
  • Provision of written, informed consent

Exclusion Criteria:

  • In the opinion of the investigator that the patient is not able to provide informed consent
  • Inability or unwillingness to comply with study collection requirements

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Prevalence of HCV resistance associated variants (RAVs) and the incidence of RAVs arising during therapy.
Time Frame: Baseline
Descriptive statistics will be used to describe RAVs using standard international nomenclature and presented in table form. Baseline clinical and demographic data on subjects will be presented, as will rates of treatment failure and reasons for failure.
Baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Factors associated with treatment failure due to virological breakthrough / relapse.
Time Frame: Baseline
Multivariable logistic regression modelling with backwards elimination will be used to identify factors associated with this.
Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Gail Dr Matthews, MBChB, MRCP (UK), FRACP, PhD, The University of New South Wales

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 1, 2012

Primary Completion (Actual)

June 1, 2022

Study Completion (Actual)

June 1, 2022

Study Registration Dates

First Submitted

February 16, 2014

First Submitted That Met QC Criteria

February 18, 2014

First Posted (Estimated)

February 19, 2014

Study Record Updates

Last Update Posted (Actual)

March 6, 2024

Last Update Submitted That Met QC Criteria

March 4, 2024

Last Verified

March 1, 2024

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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