Long-term evolution of CD4 count in patients with a plasma HIV RNA persistently <500 copies/mL during treatment with antiretroviral drugs

HIV Med. 2007 Apr;8(3):156-63. doi: 10.1111/j.1468-1293.2007.00446.x.

Abstract

Background: The increase in CD4 count may reach a plateau after some duration of virological response to highly active antiretroviral therapy (HAART).

Methods: A total of 1281 HIV-infected patients initiating HAART were enrolled in the AntiPROtease (APROCO) cohort. We investigated determinants of increase in CD4 count using longitudinal mixed models in patients who maintained a plasma HIV RNA <500 HIV-1 RNA copies/mL.

Results: A total of 870 patients had a virological response at month 4. The median follow-up time was 57 months. Mean estimated increases in CD4 count in patients with persistent virological response were 29.9 cells/muL/month before month 4, 6.4 cells/microL/month between months 4 and 36, and 0.7 cells/microL/month (not significantly different from 0) after month 36. Three factors were associated with a significantly positive CD4 count slope after month 36: male gender (+0.9), no history of antiretroviral therapy at baseline (+1.7) and baseline CD4 count <100 cells/microL (+2.6). In patients who maintained a virological response after 5 years of HAART, a CD4 count >500 cells/microL was achieved in 83% of those with a baseline CD4 count >or=200 cells/microL and in 45% of those with a baseline CD4 count <200 cells/microL.

Conclusion: The increase in CD4 count reaches a plateau after 3 years of virological response. Even if patients initiating HAART with low CD4 counts still show a CD4 count increase after 3 years, it remains insufficient to overcome immune deficiency in all patients.

Publication types

  • Multicenter Study

MeSH terms

  • Adult
  • Antiretroviral Therapy, Highly Active / methods*
  • CD4 Lymphocyte Count
  • Cohort Studies
  • Female
  • HIV Infections / drug therapy*
  • HIV Infections / immunology*
  • HIV Infections / virology
  • HIV-1 / genetics
  • HIV-1 / growth & development*
  • HIV-1 / immunology
  • Humans
  • Linear Models
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Prospective Studies
  • RNA, Viral / blood*

Substances

  • RNA, Viral