Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/67966
Title: Trajectory Analysis of Cognitive Outcomes in Children with Perinatal HIV
Authors: Payal B. Patel
Tanakorn Apornpong
Thanyawee Puthanakit
Kulvadee Thongpibul
Pope Kosalaraksa
Rawiwan Hansudewechakul
Suparat Kanjanavanit
Chiawat Ngampiyaskul
Wicharn Luesomboon
Jurai Wongsawat
Ly Penh Sun
Kea Chettra
Vonthanak Saphonn
Claude A. Mellins
Kathleen Malee
Serena Spudich
Jintanat Ananworanich
Stephen J. Kerr
Robert Paul
Authors: Payal B. Patel
Tanakorn Apornpong
Thanyawee Puthanakit
Kulvadee Thongpibul
Pope Kosalaraksa
Rawiwan Hansudewechakul
Suparat Kanjanavanit
Chiawat Ngampiyaskul
Wicharn Luesomboon
Jurai Wongsawat
Ly Penh Sun
Kea Chettra
Vonthanak Saphonn
Claude A. Mellins
Kathleen Malee
Serena Spudich
Jintanat Ananworanich
Stephen J. Kerr
Robert Paul
Keywords: Medicine
Issue Date: 1-Oct-2019
Abstract: © 2019 Pediatric Infectious Disease Journal. All rights reserved. Background: Children with perinatal HIV (pHIV) may display distinct long-term cognitive phenotypes. We used group-based trajectory modeling to identify clusters of children with pHIV after similar developmental trajectories and predictors of belonging to select cognitive trajectory groups. Methods: Participants included children, 4-17 years of age, with pHIV in Thailand and Cambodia. Cognitive measures included translated versions of Intelligence Quotient tests, Color Trails Tests and Beery-Buktenica Developmental Test of Visual-Motor Integration conducted semiannually over 3-6 years. The best fit of trajectory groups was determined using maximum likelihood estimation. Multivariate logistic regression identified baseline factors associated with belonging to the lowest scoring trajectory group. Results: Group-based trajectory analyses revealed a 3-cluster classification for each cognitive test, labeled as high, medium and low scoring groups. Most trajectory group scores remained stable across age. Verbal IQ declined in all 3 trajectory groups and the high scoring group for Children's Color Trails Test 1 and 2 showed an increase in scores across age. Children in the lowest scoring trajectory group were more likely to present at an older age and report lower household income. Conclusions: Group-based trajectory modeling succinctly classifies cohort heterogeneity in cognitive outcomes in pHIV. Most trajectories remained stable across age suggesting that cognitive potential is likely determined at an early age with the exception of a small subgroup of children who displayed developmental gains in select cognitive domains and may represent those with better cognitive reserve. Poverty and longer duration of untreated HIV may predispose children with pHIV to suboptimal cognitive development.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072774761&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/67966
ISSN: 15320987
08913668
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.


Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.