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Updated: Jan 31, 2026

Rapid Screening of HIV Reverse Transcriptase and Integrase Inhibitors
Published on: April 9, 2014
Determinants of growth in HIV-exposed and HIV-uninfected infants in the Kabeho Study
Charlotte E Lane1, Emily A Bobrow1, Diuedonne Ndatimana2
1Nutrition Department, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Insights
HIV-exposed and HIV-uninfected infants show varied growth patterns. Factors like maternal health and infant illness impact trajectories, highlighting the need for individualized growth monitoring.
Area of Science:
- Pediatrics
- Public Health
- Infectious Diseases
Background:
- Infants born to mothers with HIV (HEU) may face developmental challenges.
- Understanding growth trajectories is crucial for HEU infant well-being.
Purpose of the Study:
- To analyze growth patterns in HIV-exposed and HIV-uninfected (HEU) infants.
- To identify factors influencing healthy growth trajectories in HEU infants.
Main Methods:
- Latent class analysis to define growth trajectories (WLZ and LAZ).
- Multiple logistic regression to assess factors associated with trajectory classes.
- Longitudinal cohort study of HEU infants in Rwanda up to 2 years.
Main Results:
- Identified four weight-for-length z-score (WLZ) and seven length-for-age z-score (LAZ) trajectories.
- Low birth weight and illness increased risk of poor WLZ.
- Maternal height and breastfeeding duration influenced LAZ.
Conclusions:
- Average growth metrics mask significant individual variations in HEU infants.
- Current WHO guidelines may influence WLZ and LAZ differently.
- Subpopulation analysis is essential for understanding HEU infant growth.
Abstract:
HIV-exposed and HIV-uninfected (HEU) infants may be at increased risk of poor health and growth outcomes. We characterized infant growth trajectories in a cohort of HEU infants to identify factors associated with healthy growth. HIV-positive women participating in prevention of mother-to-child HIV transmission programmes in Kigali, Rwanda, were followed until their infants were 2 years old. Infant anthropometrics were regularly collected. Latent class analysis was used to categorize infant growth trajectories. Multiple logistic regression was used to estimate the odds of infants belonging to each growth trajectory class. On average, this population of HEU infants had moderate linear growth faltering, but only modest faltering in weight, resulting in mean weight-for-length z-score (WLZ) above the World Health Organization (WHO) median. Mean WLZ was 0.53, and mean length-for-age z-score (LAZ) was -1.14 over the first 2 years of life. We identified four unique WLZ trajectories and seven trajectories in LAZ. Low neonatal weight-for-age and a high rate of illness increased the likelihood that infants were in the lightest WLZ class. Shorter mothers were more likely to have infants with linear growth faltering. Female infants who were older at the end of exclusive breastfeeding were more likely to be in the second tallest LAZ class. In conclusion, the current WHO recommendations of Option B+ and extended breastfeeding may induce higher WLZ and lower LAZ early in infancy. However, there is considerable heterogeneity in growth patterns that is obscured by simply analysing average growth trends, necessitating the analysis of growth in subpopulations.
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