About My Health Careers Internship MedBlogs Contact us
Medindia LOGIN REGISTER
Advertisement

Study: Computer Models Predict How Patients Will Respond to HIV Drugs

by Rukmani Krishna on March 16, 2013 at 7:47 PM
Font : A-A+

 Study: Computer Models Predict How Patients Will Respond to HIV Drugs

Results of a study demonstrate that computer models can predict how HIV patients whose drug therapy is failing will respond to a new treatment. The results were published online in the Journal of Antimicrobial Chemotherapy.

Crucially for patients in poorer countries, the models do not require the results of expensive drug resistance tests to make their predictions. The study also showed that the models were able to identify alternative drug combinations that were predicted to work in cases where the treatment used in the clinic had failed, suggesting that their use could avoid treatment failure.When a patient's HIV drugs begin to fail in well-resourced countries a genotypic resistance test is performed to identify mutations that cause the virus to become resistant to certain drugs.

Advertisement

The results are used to predict whether the patient will respond to different drugs in a new treatment. These tests are generally not available in resource-limited settings. Today's study shows that computer models can predict how such a patent will respond, with comparable accuracy, without the need for such tests."This is the first time this approach has been tried with real cases of treatment failure from resource-limited settings", commented Julio Montaner, former President of the International AIDS Society, Director of the BC Centre for Excellence in HIV & AIDS, based in Vancouver, Canada and an author on the paper.

"The results show that using sophisticated computer based algorithms we can effectively put the experience of treating thousands of patients into the hands of the under-resourced physician with potentially huge benefits." The models were developed by The HIV Resistance Response Database Initiative (RDI), using information gathered from many thousands of patients in hundreds of clinics around the world. They make their predictions of the probability of the drugs reducing the level of virus below a low limit from the patient's treatment history, the CD4 count(i) and the viral load.
Advertisement

The models were most accurate (over 70%) when they were used to make predictions for new cases from the clinics that provided the data used in their training. However they were 60-64% accurate when tested with cases from southern Africa, 57% for India and 67% for Romania where resources are very limited. This compares favourably with accuracy of around 60-65% for genotyping, with interpretation using standard algorithms.The models were also able to identify alternative, three-drug regimens, comprising locally available drugs that were predicted to produce a virological response for a substantial proportion of the treatment failures observed. This proportion ranged from 75% in Southern Africa, where the number of drugs available was highly restricted, to 93% in Romania and 99% in India. In all cases from the resource-limited countries, the models were able to identify regimens with a higher predicted probability of success than the regimen that failed.

"These results suggest that use of the system could help to avoid significant numbers of treatment failures", commented lead author Andrew Revell of the RDI. "The superiority of the models with cases from 'familiar' settings indicates that the full potential of this system to aid treatment decision-making could be realised by the collection of data from resource-limited settings and the use of these data to train the next generation of models."The models are now available free of charge on the RDI web site.It should be noted that, as the study was retrospective, no firm claims can be made for the clinical benefit that use of the system as a treatment support tool could provide. Nevertheless, the results were positive for clinics and cohorts in many different countries across five disparate regions of the world, which is very encouraging in terms of generalizability. The results also suggest that this approach has the potential to reduce virological failure and improve patient outcomes in less well-resourced countries.

Source: Eurekalert
Advertisement

Advertisement
News A-Z
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
Advertisement
News Category
What's New on Medindia
Cochlear Implants may Consequently Drive Hearing Loss
E-cigarettes Use Linked to Erectile Dysfunction
Memory Loss - Can it be Recovered?
View all

Medindia Newsletters Subscribe to our Free Newsletters!
Terms & Conditions and Privacy Policy.

More News on:
Oral Health And AIDS Drug Toxicity AIDS/HIV AIDS/HIV - Epidemiology AIDS/HIV - Clinical Features AIDS/HIV - Health Education AIDS/HIV - Prevention And Transmission AIDS / HIV - Treatment AIDS/HIV- Lab Tests and Faqs Prostitution: Fresh Stakes in the Oldest Trade 

Recommended Reading
AIDS/HIV - Prevention And Transmission
Encyclopedia section of medindia explains in brief about the prevention for AIDS/HIV...
AIDS/HIV - Clinical Features
Encyclopedia section of medindia gives general info about HIV Clinical Features...
AIDS and Pregnancy
The Acquired immune deficiency syndrome is brought about by the deadly human immunodeficiency ......
AIDS / HIV - Treatment
Encyclopedia section of medindia explains in brief about the treatment for AIDS/HIV...
AIDS/HIV
"AIDS is an epidemic disease, a potentially preventable, deadly infection for which there is no cure...
AIDS/HIV - Epidemiology
AIDS or HIV is an epidemic disease, a potentially deadly infection that can be prevented with preca...
AIDS/HIV - Health Education
Encyclopedia section of medindia gives general info about AIDS information and health education....
Drug Toxicity
Drug toxicity is an adverse reaction of the body towards a drug that results as a side effect of a d...
Oral Health And AIDS
AIDS has taken on massive proportions in modern times. It is estimated that over 15 million people a...
Prostitution: Fresh Stakes in the Oldest Trade
Prostitution has broadened its base to include street prostitution, massage brothels, gigolo outcall...

Disclaimer - All information and content on this site are for information and educational purposes only. The information should not be used for either diagnosis or treatment or both for any health related problem or disease. Always seek the advice of a qualified physician for medical diagnosis and treatment. Full Disclaimer

© All Rights Reserved 1997 - 2021

This site uses cookies to deliver our services. By using our site, you acknowledge that you have read and understand our Cookie Policy, Privacy Policy, and our Terms of Use