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Optimal Antiviral Switching to Minimize Resistance Risk in HIV Therapy

Overview of attention for article published in PLOS ONE, November 2011
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Title
Optimal Antiviral Switching to Minimize Resistance Risk in HIV Therapy
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0027047
Pubmed ID
Authors

Rutao Luo, Michael J. Piovoso, Javier Martinez-Picado, Ryan Zurakowski

Abstract

The development of resistant strains of HIV is the most significant barrier to effective long-term treatment of HIV infection. The most common causes of resistance development are patient noncompliance and pre-existence of resistant strains. In this paper, methods of antiviral regimen switching are developed that minimize the risk of pre-existing resistant virus emerging during therapy switches necessitated by virological failure. Two distinct cases are considered; a single previous virological failure and multiple virological failures. These methods use optimal control approaches on experimentally verified mathematical models of HIV strain competition and statistical models of resistance risk. It is shown that, theoretically, order-of-magnitude reduction in risk can be achieved, and multiple previous virological failures enable greater success of these methods in reducing the risk of subsequent treatment failures.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Professor 6 21%
Student > Bachelor 5 17%
Student > Ph. D. Student 4 14%
Researcher 4 14%
Other 3 10%
Other 6 21%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 24%
Medicine and Dentistry 7 24%
Biochemistry, Genetics and Molecular Biology 4 14%
Engineering 2 7%
Immunology and Microbiology 2 7%
Other 4 14%
Unknown 3 10%