Early postseroconversion CD4 cell counts independently predict CD4 cell count recovery in HIV-1-postive subjects receiving antiretroviral therapy

  • Hemant Kulkarni
  • , Jason F. Okulicz
  • , Greg Grandits
  • , Nancy F. Crum-Cianflone
  • , Michael L. Landrum
  • , Braden Hale
  • , Glenn Wortmann
  • , Edmund Tramont
  • , Michael Polis
  • , Matthew Dolan
  • , Alan R. Lifson
  • , Brian K. Agan
  • , Sunil K. Ahuja
  • , Vincent C. Marconi

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Background: The relationship between CD4+ T-cell counts determined soon after seroconversion with HIV-1 (baseline CD4+), nadir CD4+, and CD4+ levels attained during highly active antiretroviral therapy (HAART) is unknown. Methods: Longitudinal, including baseline (at or soon after HIV diagnosis), intermediate (nadir), and distal (post-HAART) CD4+ T-cell counts were assessed in 1085 seroconverting subjects who achieved viral load suppression from a large well-characterized cohort. The association of baseline with post-HAART CD4+ T-cell count was determined after adjustment for other relevant covariates. RESULTS:: A higher baseline CD4+ T-cell count predicted a greater post-HAART CD4+ T-cell count, independent of the nadir and other explanatory variables. Together, baseline and nadir strongly predicted the post-HAART CD4+ count such that a high baseline and lower nadir were associated with a maximal immune recovery after HAART. Likelihood of recovery of the baseline count after HAART was significantly higher when the nadir/baseline count ratio was consistently 0.6. Conclusions: Among viral load suppressing seroconverters, the absolute CD4+ T-cell count attained post-HAART is highly dependent on both baseline and nadir CD4+ T-cell counts. These associations further support the early diagnosis and initiation of HAART among HIV-infected persons.

Original languageEnglish (US)
Pages (from-to)387-395
Number of pages9
JournalJournal of Acquired Immune Deficiency Syndromes
Volume57
Issue number5
DOIs
StatePublished - Aug 15 2011

Keywords

  • CD4 count
  • highly active antiretroviral therapy
  • outcomes
  • predictors
  • treatment response

ASJC Scopus subject areas

  • Infectious Diseases
  • Pharmacology (medical)

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