Logo

Sign in | Create an Account Cart 0
Sign In
Forgot password?
Institutional Users can Sign In here
Don't have an Account?
Create an account
 
Forgot Password
 
Thank You for Registration

Thank-you for creating an account on Longwoods.com.

As a registered user of longwoods.com you can receive the following benefits:
  • Abstracts from ALL Longwoods.com publications
  • Citation tracking and reference links to full-text articles
  • Ability to share the information through various social media outlets with a single click
  • Ability to comment on any article
  • Pay-per-View purchases of single articles or issues by credit card or paypal
  • Choice of any www.longwoods.com/newsletters delivered to your email inbox for free
  • Ability to sign up for any www.longwoods.com/events.
  • The advantage of having password access to www.Longwoods.com from any computer anywhere
Please check your e-mail and follow the instructions to activate your account. If you do not receive an e-mail, please check your junk folder.
Reset Password

Please check your e-mail and follow the instructions to reset your password.

Menu
  • Home
  • Topics
    • Access to Care
    • Aging
    • Alternative Levels of Care
    • Caregivers
    • Change Management
    • Community Care
    • COVID-19
    • Decision Making
    • Digital Health
    • Effective Teamwork
    • Equity in Healthcare
    • Governance
    • Health Human Resources
    • Health System Innovation
    • Healthcare Costs
    • Healthcare Policy
    • Healthy workplaces
    • Home Care
    • Innovations in Care
    • Leadership Development
    • Long-Term Care
    • Longwoods Healthcare Services Radio
    • Mental Health
    • Nursing Leadership
    • Pandemic Planning
    • Patient Experience
    • Patient Safety
    • Patient-Centered Care
    • Primary Care
    • Public Health
    • Quality Improvement
    • System Integration
    • Workforce Planning
  • Events
    • Longwoods Breakfast Series
    • Healthcare Rounds
    • Leadership Discussion
    • Conferences and Education
    • Healthcare Awards
  • Publications
    • Healthcare Quarterly
    • HealthcarePapers
    • Healthcare Policy
    • Nursing Leadership
    • Insights
    • Special Issues
    • White Papers
    • Longwoods Blog
    • World Health & Population
    • ElectronicHealthcare
    • Law & Governance
    • Books
  • Multimedia
    • Videos
    • Podcasts
  • Jobs
    • Longwoods Job Site
    • HR Resources Database
    • Transitions
    • Rates for Job Postings
  • Subscribe

Health & Healthcare News

Clinical studies by expert HIV clinicians suggest that HIV-TRePS may have clinical and economic benefits

Free web-based service helps physicians select optimum combination of HIV drugs
 
LONDON, UK and VANCOUVER, BC; 18th January 2011. Two multinational clinical studies indicate that the HIV Resistance Response Database Initiative (RDI’s) system for predicting how HIV and AIDS patients will respond to different drugs could be a useful tool with potential clinical and economic benefits. The studies, published in the January issue of AIDS Patient Care and STDs, involved highly experienced physicians in the USA, Canada and Italy who used the system to help them select the optimum combination of HIV drugs for patients whose therapy was failing.
 
The HIV Treatment Response Prediction System (HIV-TRePS) harnesses the power of complex computer models that have been trained with data from thousands of patients around the world.  In these studies, physicians entered their patient’s data and their selection of the next combination of HIV drugs, via the Internet. A prototype version of HIV-TRePS predicted how the patient would respond to hundreds of alternative combinations of HIV drugs.  Within seconds, the physician received a report listing the drug combinations that the models predicted were most likely to work. Having reviewed the report, the physicians recorded their final treatment decision and completed an online evaluation.
 
The results demonstrated that use of the system was associated with a change of treatment decision in one-third of cases to combinations with fewer drugs overall, which were predicted to result in better virological responses. Evaluations indicated that the physicians found the system to be easy and useful. Based on these findings, use of the system could potentially improve patient outcomes and reduce the overall number – and therefore cost – of drugs used.  An improved version of HIV-TRePS is now available free of charge over the Internet (via the RDI web site) as an experimental tool.
 
“HIV-TRePS is an innovative and important tool to improve the health of people living with HIV, and the BC Centre for Excellence in HIV/AIDS (BC-CfE) is proud to contribute to its development,” commented Dr. Julio Montaner, Past President of the International AIDS Society and Director of the BC-CfE, based in Vancouver, Canada.  “These promising results are the first to be published from a clinical evaluation of such a system. I would encourage people to try the system and enter follow-up data and evaluations to help the RDI to continue to refine and improve the system.”

BC-CfE physicians have been testing HIV-TRePS to optimize treatments for HIV and AIDS patients throughout British Columbia, Canada for the past year. The system has proven to be user friendly and has further shown a real potential to assist less experienced prescribers to select the best drug combinations, helping to enhance patient care while saving health-care resources.   

Selecting and changing treatments for patients with HIV and AIDS in order to keep the virus suppressed is complex and challenging.  There are approximately 25 HIV drugs available, from which physicians normally choose a combination of three or more to suppress the virus.  However, mutations occurring in the viral genetic code can cause resistance to the drugs used against it. The physician then has to select a new combination of drugs to overcome this resistant strain.
 
The computational models within HIV-TRePS, called “Random Forests,” base their predictions on a range of more than 80 different variables including mutations in the viral genetic code, the drugs used to treat the patient in the past, CD4 cell counts (a type of white blood cell that is attacked by HIV) and the amount of virus in the bloodstream. The models estimate the probability of each combination of drugs reducing the amount of virus to below the limit of detection in the blood (50 copies HIV RNA/ml) based on what the system has ‘learned’ during its training with thousands of real clinical cases. The system’s overall accuracy during development and testing was approximately 80%.
 
“We are very pleased to see the results of these studies published,” said Dr Brendan Larder, Scientific Chair of the RDI. “It is gratifying to see evidence that the years of technical development have resulted in a system that is likely to produce clinical benefits and that physicians are keen to use.”
 
The RDI is already working on a version of HIV-TRePS for use in resource-limited settings where there are fewer treatment options and health care workers do not have access to all the information that this initial system requires.  The RDI’s approach could also have potential benefit in other diseases, most obviously where drug resistance can be a problem such as Hepatitis.
 
The RDI is an independent, not-for-profit research group set-up in 2002 with the mission to improve the clinical management of HIV infection through the application of bioinformatics to HIV drug resistance and treatment outcome data. Over the eight years since its inception, the RDI has worked with many of the leading clinicians and scientists in the world to develop the world’s largest database of HIV drug resistance and treatment outcome data, containing information from approximately 70,000 patients in more than 15 countries.
 
Note: HIV-TRePS is an experimental system intended for research use only. The predictions of the system are not intended to replace professional medical care and attention by a qualified medical practitioner and consequently the RDI does not accept any responsibility for the selection of drugs, the patient's response to treatment or differences between the predictions and patients’ responses.

More information can be found at: www.hivrdi.org.
The publication can be found at: http://www.liebertonline.com/doi/full/10.1089/apc.2010.0254
 
For further information contact:
Vancouver: Graham Pollock, gpollock@cfenet.ubc.ca, 604.806.9093 or Mahafrine Petigara (on behalf of the BC-CfE), mahafrine.petigara@edelman.com, 604-623-3007
London:  Andrew Revell (Executive Director, RDI) on +44 207 226 7314, +44 7967 126498 (mobile) or andrewrevell@hivrdi.org
 

Contact information

Contact Us
Mailing address

260 Adelaide Street East, No. 8, Toronto ON M5A 1N1

Telephone number
416-864-9667
Fax number
416-368-4443

Subscribe Today

  • Healthcare Quarterly

    Best practices, policy and innovations in the administration of healthcare 

Stay Connected

Newsletter
© 2026
Longwoods Publishing Corporation
  • Institutional Users
  • About Us
  • Subscription Information
  • Advertise
  • Reprints
  • Partners
  • Terms
  • Privacy