Age-specific and sex-specific weight gain norms to monitor antiretroviral therapy in children in low-income and middle-income countries.

AIDS

aDivision of Epidemiology, College of Public Health, The Ohio State University, Columbus, Ohio bDepartment of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA cDepartment of Pediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa dSchool of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA eSchool of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa fInstitute of Social and Preventive Medicine, University of Bern, Switzerland gTumbi Regional Referral Hospital, Kibaha hMorogoro Regional Hospital, Morogoro, Tanzania iUniversity of New South Wales, The Kirby Institute for Infection and Immunity in Society, Darlinghurst, New South Wales, Australia jChiangrai Prachanukroh Hospital, Chiangrai, Thailand kInstitut de Santé Publique Epidemiologie et Développement, Université Bordeaux lInserm, Centre Inserm U897 'Epidémiologie et Biostatistique', Bordeaux, France mCentre National Hospitalier, Universitaire Hubert K. Maga, Cotonou, Bénin nRTI International, Biostatistics and Epidemiology, Research Triangle Park, North Carolina, USA.

Published: January 2015

Background: Viral load and CD4% are often not available in resource-limited settings for monitoring children's responses to antiretroviral therapy (ART). We aimed to construct normative curves for weight gain at 6, 12, 18, and 24 months following initiation of ART in children, and to assess the association between poor weight gain and subsequent responses to ART.

Design: Analysis of data from HIV-infected children younger than 10 years old from African and Asian clinics participating in the International epidemiologic Databases to Evaluate AIDS.

Methods: The generalized additive model for location, scale, and shape was used to construct normative percentile curves for weight gain at 6, 12, 18, and 24 months following ART initiation. Cox proportional models were used to assess the association between lower percentiles (< 50th) of weight gain distribution at the different time points and subsequent death, virological suppression, and virological failure.

Results: Among 7173 children from five regions of the world, 45% were underweight at baseline. Weight gain below the 50th percentile at 6, 12, 18, and 24 months of ART was associated with increased risk of death, independent of baseline characteristics. Poor weight gain was not associated with increased hazards of virological suppression or virological failure.

Conclusion: Monitoring weight gain on ART using age-specific and sex-specific normative curves specifically developed for HIV-infected children on ART is a simple, rapid, sustainable tool that can aid in the identification of children who are at increased risk of death in the first year of ART.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383257PMC
http://dx.doi.org/10.1097/QAD.0000000000000506DOI Listing

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