research data . Dataset . 2016

Real-Time Predictions of Reservoir Size and Rebound Time during Antiretroviral Therapy Interruption Trials for HIV

Hill, Alison L.; Rosenbloom, Daniel I. S.; Goldstein, Edward; Hanhauser, Emily; Kuritzkes, Daniel R.; Siliciano, Robert F.; J. Henrich, Timothy;
  • Published: 01 Jan 2016
  • Publisher: Figshare
Abstract
<div><p>Monitoring the efficacy of novel reservoir-reducing treatments for HIV is challenging. The limited ability to sample and quantify latent infection means that supervised antiretroviral therapy (ART) interruption studies are generally required. Here we introduce a set of mathematical and statistical modeling tools to aid in the design and interpretation of ART-interruption trials. We show how the likely size of the remaining reservoir can be updated in real-time as patients continue off treatment, by combining the output of laboratory assays with insights from models of reservoir dynamics and rebound. We design an optimal schedule for viral load sampling d...
Subjects
free text keywords: Medicine, Molecular Biology, Biotechnology, Immunology, Cancer, 110309 Infectious Diseases, 60506 Virology, 19999 Mathematical Sciences not elsewhere classified, 80699 Information Systems not elsewhere classified, allogeneic hematopoietic, rebound, HIV Monitoring, Reservoir Size, interruption studies, reservoir assays, load sampling, Rebound Time, antiretroviral therapy, estimate treatment effects, cell transplants, patient outcomes, treatment cessation, load assays, modeling tools, trial size, HIV researchers, laboratory assays, Antiretroviral Therapy Interruption Trials, reservoir dynamics
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Dataset . 2016
Provider: figshare
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