Evaluation of the risk factors associated with lipodystrophy development in a cohort of HIV-positive patients

Antivir Ther. 2002 Sep;7(3):175-80.

Abstract

The prevalence of lipodystrophy in an HIV-infected population and the risk factors associated with body shape changes were analysed in this study. Five hundred and four subjects were included. Among these, 201 (39.9%) had features of lipodystrophy syndrome (cases); 303 (60.1%) constituted the control group. Compared with the control group, the lipodystrophy subjects were different in age (P = 0.01); duration of antiretroviral therapy (P < 0.001); length of exposure to nucleoside reverse transcriptase inhibitors (NRTIs) (P < 0.001) and to protease inhibitors (P < 0.001); nadir of CD4 cell count (P < 0.001); and value of plasma HIV-RNA before antiretroviral therapy (P = 0.008). In a multivariate analysis, length of therapy and a nadir CD4 cell count below 250 cell/microl were associated with an increased risk of lipodystrophy. Among patients with lipodystrophy, isolated fat loss was observed in 46 (23%); isolated fat accumulation in 40 (20%); mixed (loss and accumulation) syndrome in 50 (25%); and isolated metabolic changes in 65 (32%). Subjects with morphological alterations displayed a greater cumulative time of exposure to NRTIs and to protease inhibitors than patients with isolated metabolic alterations. Patients with lipoatrophy had had a greater exposure to stavudine.

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Anti-HIV Agents / administration & dosage
  • Anti-HIV Agents / adverse effects
  • Anti-HIV Agents / therapeutic use
  • CD4 Lymphocyte Count
  • Cohort Studies
  • Drug Administration Schedule
  • Female
  • HIV / genetics
  • HIV / immunology
  • HIV / isolation & purification
  • HIV Infections / complications*
  • HIV Infections / drug therapy
  • HIV Infections / immunology
  • HIV Infections / virology
  • HIV-Associated Lipodystrophy Syndrome / complications*
  • HIV-Associated Lipodystrophy Syndrome / etiology*
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Prevalence
  • RNA, Viral / blood
  • Risk Factors

Substances

  • Anti-HIV Agents
  • RNA, Viral