Early neurodevelopmental markers predictive of mortality in infants infected with HIV-1

Dev Med Child Neurol. 2003 Feb;45(2):76-84.

Abstract

One-hundred and fifty-seven vertically infected HIV-1 positive infants (85 males, 72 females) underwent longitudinal assessment to determine whether early neurodevelopmental markers are useful predictors of mortality in those infants who survive to at least 4 months of age. Survival analysis methods were used to estimate time to death for quartiles of 4-month scores (baseline) on the Bayley Scales of Infant Development (BSID). Cox proportional hazards progression was used to estimate relative hazard (RH, 95% CI) of death for BSID scores and potential confounders. Thirty infants with BSID scores at 4 months of age died during follow-up. Survival analysis revealed greater mortality rates in infants with BSID (Mental Developmental Index and Psychomotor Developmental Index) scores in the lower quartile (p=0.004, p=0.036). Unadjusted univariate analyses revealed increased mortality associated with baseline CD4+ 29%, gestational age <37 weeks, smaller head circumference, advanced HIV and higher plasma viral load. BSID scores independently predicted mortality after adjusting for treatment, clinical category, gestational age, plasma viral load and CD4+ percentage.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Age Factors
  • Analysis of Variance
  • CD4 Lymphocyte Count
  • Developmental Disabilities / classification
  • Developmental Disabilities / diagnosis*
  • Developmental Disabilities / virology*
  • Disease Progression
  • Female
  • Follow-Up Studies
  • Gestational Age
  • HIV Infections / complications*
  • HIV Infections / drug therapy
  • HIV Infections / mortality*
  • HIV Infections / transmission
  • HIV-1*
  • Humans
  • Infant
  • Infant Mortality*
  • Infectious Disease Transmission, Vertical*
  • Male
  • Predictive Value of Tests
  • Proportional Hazards Models
  • Risk Factors
  • Severity of Illness Index*
  • Survival Analysis
  • Viral Load