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Growth velocity assessment in paediatric AIDS: smoothing, penalized quantile regression and the definition of growth
V J Carey1, F H Yong, L M Frenkel
1Center for Biostatistics in AIDS Research, Harvard School of Public Health, 655 Huntington Avenue, Boston MA 02115, U.S.A. stvjc@channing.harvard.edu
Insights
This study develops a new criterion to identify growth failure in children with HIV/AIDS, aiding clinical trial evaluation and disease staging, especially where advanced monitoring is limited.
Area of Science:
- Pediatric Infectious Diseases
- Clinical Trial Methodology
- Biostatistics
Background:
- Growth failure is a critical indicator of disease progression or treatment toxicity in pediatric HIV/AIDS clinical trials.
- Accurate monitoring of somatic growth is essential despite advances in HIV treatment, due to uncertainties in viral load reduction's impact on growth.
- Existing methods may not adequately identify children at high risk of mortality following growth failure.
Purpose of the Study:
- To develop a novel criterion for defining growth failure in pediatric HIV/AIDS patients.
- To identify growth patterns indicative of a significantly elevated risk of death.
- To create a tool for disease staging in resource-limited settings.
Main Methods:
- Modeling individual growth curves and velocities using loess smoothing.
- Fitting penalized likelihood quantile regressions to age-specific growth velocity distributions.
- Utilizing proportional hazards model selection to identify survival-informative velocity features.
Main Results:
- A criterion for growth failure was constructed based on modeled growth velocities.
- The criterion effectively discriminates patients with elevated mortality risk subsequent to growth failure.
- The developed method identifies key velocity features predictive of survival.
Conclusions:
- The new growth-failure criterion is a valuable tool for assessing outcomes in pediatric anti-HIV clinical trials.
- This criterion can aid in disease staging for pediatric AIDS patients, particularly in resource-limited environments.
- The findings enhance the interpretation of growth data in the context of HIV/AIDS management.
Abstract:
The analysis of growth records in paediatric anti-HIV clinical trials plays an important role in trial evaluation. Growth failure may be a manifestation of progressive disease or treatment toxicity, and is commonly specified as a major trial outcome event indicating poor treatment performance. Despite new therapeutic advances against HIV proliferation in infected patients, accurate monitoring and interpretation of somatic growth in paediatric AIDS remains clinically important, in light of uncertainties regarding relationship between viral load reductions and achievement of favourable somatic growth profiles. Our aim in this paper is to construct a criterion for growth failure that discriminates patients whose risk of death subsequent to growth failure is elevated to a clinically significant degree. To construct the criterion, individual growth curves and velocities are modelled using loess smoothing, penalized likelihood quantile regressions are fit to model age-specific growth velocity distributions for gender-stratified cohorts, and proportional hazards model selection is conducted to identify features of velocity series that are informative on the survival distribution. The resulting growth-failure criterion is expected to be useful for disease staging in resource-limited medical environments where T-cell counts and viral load measures are unavailable.
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