Influence of age at infection on human immunodeficiency virus disease progression to different clinical endpoints: the SEROCO cohort (1988-1994). The Seroco Study Group

Int J Epidemiol. 1997 Dec;26(6):1340-5. doi: 10.1093/ije/26.6.1340.

Abstract

Method: The influence of age at infection on progression of human immunodeficiency virus (HIV) disease to different clinical endpoints was studied among 393 HIV-seropositive adults selected from the French SEROCO cohort; follow-up lasted from January 1988 to November 1994. Selected patients had a known date of infection and were enrolled shortly after seroconversion. Age-associated risk ratios (RR) were estimated using the Cox model (age fitted as a continuous variable and RR expressed for each 10-year increment after adjustment for symptomatic primary infection and sexual preference).

Results: Age had a weak influence on progression from the date of infection to the first category B event (crude RR = 1.15; adjusted RR = 1.09; 95% confidence interval [CI]: 0.89-1.36) but a marked influence on progression from the first category B to the first category C event (crude RR = 1.95; adjusted RR = 1.97; 95% CI: 1.37-2.79). Similar results were obtained after adjustment for the CD4+ cell count at enrollment. A qualitative CD4+ cell defect could explain the influence of age, but this remains to be confirmed.

Conclusion: Age at infection should be included in the definition of CD4+ cell count thresholds for clinical management and treatment initiation. Risk factors for progression should be assessed according to the different clinical endpoints.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aging / physiology*
  • CD4 Lymphocyte Count
  • Cohort Studies
  • Disease Progression
  • Female
  • Follow-Up Studies
  • France / epidemiology
  • HIV Infections / epidemiology
  • HIV Infections / physiopathology*
  • HIV Seropositivity / epidemiology
  • HIV Seropositivity / physiopathology*
  • HIV-1*
  • Humans
  • Male
  • Middle Aged
  • Odds Ratio
  • Proportional Hazards Models
  • Risk Factors