Increased risk of virologic rebound in patients on antiviral therapy with a detectable HIV load <48 copies/mL

PLoS One. 2012;7(11):e50065. doi: 10.1371/journal.pone.0050065. Epub 2012 Nov 15.

Abstract

We investigated the independent effects of HIV-1 "target not detected" measurements versus those that were detectable but below the limit of quantification by Taqman RT-PCR assay on subsequent viral rebound as there are conflicting data regarding the clinical implications of arbitrary or isolated low-level viremia. Cox proportional hazard regression modeling was used to investigate the independent effects of the first HIV-1 load measurement after introduction of the Taqman RT-PCR assay (time-point 0 [T0]), pre-T0 viral loads, CD4 T cell count, race/ethnicity, gender, age and NNRTI use on risk of a confirmed VL >50, >200, >400 and >1000 copies/mL at 22 months follow-up in analyses of all patients and propensity-matched baseline cohorts. 778 patients had a viral load that was either not detected by RT-PCR (N = 596) or detectable, but below the limit of quantification (N = 182) at T0. Detectable viremia, lower T0 CD4 count, decreased age, and having detectable or unknown VL within a year prior to T0 were each associated with viral rebound to >50, >200 and >400 copies/mL. Overall failure rates were low and <5.5% of all patients had confirmed VL >1000 copies/mL. A majority of patients with rebound >200 copies/mL subsequently re-suppressed (28 of 53). A detectable VL <48 copies/mL was independently and significantly associated with subsequent viral rebound, and is cause for clinical concern.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Antiviral Agents / therapeutic use*
  • CD4-Positive T-Lymphocytes / virology
  • HIV Infections / drug therapy
  • HIV Infections / virology*
  • HIV-1 / growth & development*
  • HIV-1 / isolation & purification
  • Humans
  • Proportional Hazards Models
  • Reverse Transcriptase Polymerase Chain Reaction
  • Sex Factors
  • Statistics, Nonparametric
  • Viral Load*

Substances

  • Antiviral Agents