HIV-1 RNA levels in an African population-based cohort and their relation to CD4 lymphocyte counts and World Health Organization clinical staging

J Acquir Immune Defic Syndr. 1999 Oct 1;22(2):167-73. doi: 10.1097/00126334-199910010-00009.

Abstract

Apart from a small number of reports from people who are based in hospitals, data on viral load in HIV-infected people in sub-Saharan Africa, where most infections occur, are lacking. We report serum HIV-1 RNA levels in a population-based cohort in rural Uganda using the nucleic acid sequence-based amplification procedure (NASBA) test kit and describe their relation to CD4 counts and World Health Organization (WHO) clinical staging. The median (interquartile range [IQR]) viral loads were 87,000 copies/ml (37,500-295,000 copies/ml) in 40 prevalent cases infected for >6 years, and 31,000 copies/ml (7800-174,000 copies/ml) in 65 incident cases with seroconversion dates within the previous 6 years. Although we found a correlation between viral load and absolute CD4 count (p < .0001), there was no evidence for an association with CD4 decline (p = .1). Overall, there was a significant trend of increasing viral load with worsening clinical stage from a median viral load of 15,000 for those in WHO stage 1 (asymptomatic) to 150,600 copies/ml for those in stage 4 (AIDS; p < .001). However, the association was seen only in incident cases. Thus, we found that the NASBA test on serum was a useful indicator of disease stage especially in persons known to be infected for <6 years. Such baseline data are important for vaccine research, and if antiretroviral drugs become available to more than a few people in Africa, it will be important that accurate viral load estimations are available at least in a proportion of people to monitor the effectiveness of treatment, and measure the compliance and emerging resistance to these drugs.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • CD4 Lymphocyte Count*
  • Cohort Studies
  • Female
  • HIV Infections / immunology*
  • HIV Infections / mortality
  • HIV Infections / virology*
  • HIV-1 / classification
  • HIV-1 / genetics*
  • Humans
  • Male
  • RNA, Viral / analysis*
  • Rural Health
  • Uganda
  • Viral Load*
  • World Health Organization

Substances

  • RNA, Viral