Predictive value of the HIV paediatric classification system for the long-term course of perinatally infected children

Int J Epidemiol. 2000 Jun;29(3):573-8. doi: 10.1093/intjepid/29.3.573.

Abstract

Background: To compare the Centers for Disease Control and Prevention (CDC) paediatric classification system with the long-term course of perinatal human immunodeficiency virus type 1 (HIV-1) infection.

Methods: Prospective study on 366 perinatally infected children followed-up from birth and checked at least every 2 months. Survival, smoothed hazard, adjusted hazard ratio of death, and transition probabilities in clinical and immunological categories were outcome measures.

Results: Survival was 49% (95% CI : 40-58%) at 8 years. The risk of death was high before the age of 2, relatively low between ages 2 and 7, and contained thereafter. Children did not advance through the categories sequentially. Survival at 8 years was 61.7% (95% CI : 49.8-73.6%) in those children who had passed through clinical category A; the hazard ratio of death was 2.5 (95% CI : 1.7-3.8) for 175 (47.9%) children who skipped this category. Transition probability in clinical category B was 39.9% (95% CI : 32.3-45.6%) after one year, but 59.1% (95% CI : 51.4-66.8%) after 5 years. Before 2 years of age, the probability of entry into category C (40%; 95% CI : 35-45%) was higher than that of entry into immunological category 3 (28%; 95% CI : 22-34%). Conclusions The classification system stands comparison with the clinical reality, but the CD4-positive cell thresholds in infancy should be adjusted and category B indicator diseases better distributed to improve their predictive value.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • CD4 Lymphocyte Count
  • Child
  • Child, Preschool
  • Disease Progression
  • Female
  • HIV Infections / classification*
  • HIV Infections / mortality*
  • HIV Infections / transmission
  • HIV-1
  • Humans
  • Infant
  • Infant, Newborn
  • Infectious Disease Transmission, Vertical*
  • Male
  • Predictive Value of Tests
  • Prognosis
  • Prospective Studies
  • Severity of Illness Index
  • Survival Analysis