Growth patterns reflect response to antiretroviral therapy in HIV-positive infants: potential utility in

D K Benjamin1, W C Miller, R W Ryder

  • 1Duke Clinical Research Institute, Durham, North Carolina 27715, USA. danny.benjamin@duke.edu

Insights

A clinical predictive model using physical exams can effectively monitor HIV progression in children, similar to costly lab tests. This approach offers a viable alternative for resource-limited settings.

Area of Science:

  • Pediatric infectious diseases
  • Clinical epidemiology
  • HIV/AIDS research

Background:

  • Laboratory monitoring guides antiretroviral therapy (ART) for HIV-infected children in the US.
  • ART is expanding to developing countries, but costly lab monitoring poses challenges.
  • Creative monitoring approaches are needed for resource-limited settings.

Purpose of the Study:

  • To assess the utility of physical examinations in predicting clinical progression of HIV in children.
  • To develop and evaluate a clinical predictive model for monitoring HIV progression.
  • To compare the performance of the clinical model with HIV RNA viral load changes in diagnosing ART failure.

Main Methods:

  • Retrospective cohort study using data from Pediatric AIDS Clinical Trials Group Protocol 300.
  • Development of a clinical predictive model incorporating treatment regimen, age, and height velocity.
  • Comparison of the clinical model's diagnostic utility against changes in HIV RNA viral load.

Main Results:

  • A three-level clinical predictive model demonstrated significant likelihood ratios for predicting clinical progression.
  • The clinical model's performance was comparable to using changes in HIV RNA viral load for diagnosing ART failure.
  • The model was most relevant for children aged 36 months or younger on monotherapy or dual therapy.

Conclusions:

  • A simple clinical predictive model can effectively predict HIV progression in children initiating ART.
  • The physical examination-based model offers a cost-effective alternative to laboratory monitoring in resource-limited settings.
  • Further international and prospective validation is recommended, especially considering diverse growth patterns in undernourished children.