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Growth in Virologically Suppressed HIV-Positive Children on Antiretroviral Therapy: Individual and Population-level References | Journal Article / Research | MSF Science Portal
Journal Article
|Research

Growth in Virologically Suppressed HIV-Positive Children on Antiretroviral Therapy: Individual and Population-level References

Keiser O, Blaser N, Davies MA, Wessa P, Eley B, Moultrie H, Rabie H, Technau KG, Ndirangu J, Garone DB, Giddy J, Grimwood A, Gsponer T, Egger M
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Abstract
BACKGROUND
Combination antiretroviral therapy (ART) suppresses viral replication in HIV-infected children. The growth of virologically suppressed children on ART has not been well documented. We aimed to develop dynamic reference curves for weight-for-age Z scores (WAZ) and height-for-age Z scores (HAZ).

METHODS
Children aged <11 years at ART initiation with continuously undetectable viral loads (<400 copies/mL) treated at 7 South African ART programs with routine viral load monitoring were included. We used multilevel models to define trajectories of WAZ and HAZ up to 3 years and developed a web application to monitor trajectories in individual children.

RESULTS
A total of 4876 children were followed for 7407 person-years. Analyses were stratified by baseline Z scores and age, which were the most important predictors of growth response. The youngest children showed the most pronounced increase in weight and height initially but catch-up growth stagnated after 1-2 years. Three years after starting ART, WAZ ranged from -2.2 [95% prediction interval (PrI), -5.6 to 0.8] in children with baseline age >5 years and Z score less than -3 to 0.0 (95% PrI, -2.7 to 2.4) in children with baseline age <2 years and WAZ greater than -1. For HAZ, the corresponding range was -2.3 (95% PrI, -4.9 to 0.3) in children with baseline age >5 years and Z score less than -3 to 0.3 (95% PrI, -3.1 to 3.4) in children with baseline age 2-5 years and HAZ greater than -1.

CONCLUSIONS
We have developed an online tool to calculate reference trajectories in fully suppressed children. The web application could help to define "optimal" growth response and identify children with treatment failure.

Countries

South Africa

Subject Area

HIV/AIDS

Languages

English
DOI
10.1097/INF.0000000000000801
Published Date
17 Jul 2015
PubMed ID
26192393
Journal
Pediatric Infectious Disease Journal
Volume | Issue | Pages
Volume 34, Issue 10
Issue Date
2015-10-01
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