Potential Impact of a Free Online HIV Treatment Response Prediction System for Reducing Virological Failures and Drug Costs after Antiretroviral Therapy Failure in a Resource-Limited Setting
Joint Authors
Alvarez-Uria, Gerardo
Revell, Andrew D.
Wang, Dechao
Pozniak, Anton
Lane, H. Clifford
Larder, Brendan A.
Montaner, Julio S. G.
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-24
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Objective.
Antiretroviral drug selection in resource-limited settings is often dictated by strict protocols as part of a public health strategy.
The objective of this retrospective study was to examine if the HIV-TRePS online treatment prediction tool could help reduce treatment failure and drug costs in such settings.
Methods.
The HIV-TRePS computational models were used to predict the probability of response to therapy for 206 cases of treatment change following failure in India.
The models were used to identify alternative locally available 3-drug regimens, which were predicted to be effective.
The costs of these regimens were compared to those actually used in the clinic.
Results.
The models predicted the responses to treatment of the cases with an accuracy of 0.64.
The models identified alternative drug regimens that were predicted to result in improved virological response and lower costs than those used in the clinic in 85% of the cases.
The average annual cost saving was $364 USD per year (41%).
Conclusions.
Computational models that do not require a genotype can predict and potentially avoid treatment failure and may reduce therapy costs.
The use of such a system to guide therapeutic decision-making could confer health economic benefits in resource-limited settings.
American Psychological Association (APA)
Revell, Andrew D.& Alvarez-Uria, Gerardo& Wang, Dechao& Pozniak, Anton& Montaner, Julio S. G.& Lane, H. Clifford…[et al.]. 2013. Potential Impact of a Free Online HIV Treatment Response Prediction System for Reducing Virological Failures and Drug Costs after Antiretroviral Therapy Failure in a Resource-Limited Setting. BioMed Research International،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1030679
Modern Language Association (MLA)
Revell, Andrew D.…[et al.]. Potential Impact of a Free Online HIV Treatment Response Prediction System for Reducing Virological Failures and Drug Costs after Antiretroviral Therapy Failure in a Resource-Limited Setting. BioMed Research International No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-1030679
American Medical Association (AMA)
Revell, Andrew D.& Alvarez-Uria, Gerardo& Wang, Dechao& Pozniak, Anton& Montaner, Julio S. G.& Lane, H. Clifford…[et al.]. Potential Impact of a Free Online HIV Treatment Response Prediction System for Reducing Virological Failures and Drug Costs after Antiretroviral Therapy Failure in a Resource-Limited Setting. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1030679
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1030679