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Usage Information

Predicting the duration of antiviral treatment needed to suppress plasma HIV-1 RNA
G. Paolo Rizzardi, Rob J. De Boer, Shelley Hoover, Giuseppe Tambussi, Aude Chapuis, Nermin Halkic, Pierre-Alexandre Bart, Veronica Miller, Schlomo Staszewski, Daan W. Notermans, Luc Perrin, Cecil H. Fox, Joep M.A. Lange, Adriano Lazzarin, Giuseppe Pantaleo
G. Paolo Rizzardi, Rob J. De Boer, Shelley Hoover, Giuseppe Tambussi, Aude Chapuis, Nermin Halkic, Pierre-Alexandre Bart, Veronica Miller, Schlomo Staszewski, Daan W. Notermans, Luc Perrin, Cecil H. Fox, Joep M.A. Lange, Adriano Lazzarin, Giuseppe Pantaleo
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Article

Predicting the duration of antiviral treatment needed to suppress plasma HIV-1 RNA

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Abstract

Effective therapeutic interventions and clinical care of adults infected with HIV-1 require an understanding of factors that influence time of response to antiretroviral therapy. We have studied a cohort of 118 HIV-1–infected subjects naive to antiretroviral therapy and have correlated the time of response to treatment with a series of virological and immunological measures, including levels of viral load in blood and lymph node, percent of CD4 T cells in lymph nodes, and CD4 T-cell count in blood at study entry. Suppression of viremia below the limit of detection, 50 HIV-1 RNA copies/mL of plasma, served as a benchmark for a successful virological response. We employed these correlations to predict the length of treatment required to attain a virological response in each patient. Baseline plasma viremia emerged as the factor most tightly correlated with the duration of treatment required, allowing us to estimate the required time as a function of this one measure.

Authors

G. Paolo Rizzardi, Rob J. De Boer, Shelley Hoover, Giuseppe Tambussi, Aude Chapuis, Nermin Halkic, Pierre-Alexandre Bart, Veronica Miller, Schlomo Staszewski, Daan W. Notermans, Luc Perrin, Cecil H. Fox, Joep M.A. Lange, Adriano Lazzarin, Giuseppe Pantaleo

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Usage data is cumulative from August 2025 through August 2026.

Usage JCI PMC
Text version 479 19
PDF 168 7
Figure 306 2
Citation downloads 194 0
Totals 1,147 28
Total Views 1,175
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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