[Prognostic markers of progression to AIDS in infants vertically infected by human immunodeficiency virus type-1]

Med Clin (Barc). 2000 Nov 4;115(15):564-7. doi: 10.1016/s0025-7753(00)71626-5.
[Article in Spanish]

Abstract

Background: To study the prognostic AIDS progression value of the percentage of CD4+, CD8+, and plasma viral load (VL) (copies/ml) in HIV-1-vertically infected children.

Patients and method: We study a cohort of 115 HIV-1 infected children older than 12 months of age. The VL was quantified using standard molecular assay. CD4 and CD8 T lymphocytes were determined by flow cytometry.

Results: The children with a median of VL > 4.5 log10 (p < 0.001) and percentage of CD8+ < 25% (p = 0.05) during follow-up, progressed faster to AIDS than children with a median of VL < 4.5 log10 and CD8 > 25%. The relative risk (RR) of AIDS progression was 7-fold higher in children with median VL above 4.5 log10. When considering VL as a continuous variable, risk of progression to AIDS is 3.5-fold higher for each increase of one log10 of VL. The percentage of CD8+ T-cells had a RR of AIDS progression of 0.95/% CD8+ at entry to the study and of 0. 19/% CD8+ during follow-up, indicating protection against progression to AIDS.

Conclusions: Our results indicate that each basal values at entry in the study and during the follow-up of the percentage of CD8+ and VL helps to determine the risk of AIDS progression in HIV-1-infected children. More interestingly, the use of the two predictive markers together had higher predictive value.

Publication types

  • Comparative Study
  • English Abstract
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acquired Immunodeficiency Syndrome / diagnosis*
  • Acquired Immunodeficiency Syndrome / transmission*
  • Acquired Immunodeficiency Syndrome / virology
  • Analysis of Variance
  • Biomarkers
  • CD8-Positive T-Lymphocytes*
  • Child
  • Child, Preschool
  • Cohort Studies
  • Follow-Up Studies
  • HIV-1*
  • Humans
  • Infant
  • Infectious Disease Transmission, Vertical*
  • Multivariate Analysis
  • Prognosis
  • Proportional Hazards Models
  • Regression Analysis
  • Risk
  • Time Factors
  • Viral Load*

Substances

  • Biomarkers