TY - JOUR
T1 - Trajectory Analysis of Cognitive Outcomes in Children with Perinatal HIV
AU - PREDICT/Resilience Study Group
AU - Patel, Payal B.
AU - Apornpong, Tanakorn
AU - Puthanakit, Thanyawee
AU - Thongpibul, Kulvadee
AU - Kosalaraksa, Pope
AU - Hansudewechakul, Rawiwan
AU - Kanjanavanit, Suparat
AU - Ngampiyaskul, Chiawat
AU - Luesomboon, Wicharn
AU - Wongsawat, Jurai
AU - Sun, Ly Penh
AU - Chettra, Kea
AU - Saphonn, Vonthanak
AU - Mellins, Claude A.
AU - Malee, Kathleen
AU - Spudich, Serena
AU - Ananworanich, Jintanat
AU - Kerr, Stephen J.
AU - Paul, Robert
N1 - Funding Information:
The PREDICT study was supported by a grant from the National Institute of Allergy and Infectious Diseases of the National Institute of Health through the Comprehensive International Program of Research on AIDS Network (U19 AI53741); cofunded by the Eunice Shriver Kennedy National Insti-tute of Child Health and Human Development and the National Institute of Mental Health. The Resilience study was funded by R01MH102151. The antiretroviral drugs were supported by ViiV Health Care/GlaxoSmithKline, Boehringer-Ingelheim, Merck, Abbott and Roche.
Publisher Copyright:
© 2019 Pediatric Infectious Disease Journal. All rights reserved.
PY - 2019/10/1
Y1 - 2019/10/1
N2 - 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.
AB - 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.
KW - cognition
KW - perinatal HIV
KW - poverty
KW - trajectory
UR - http://www.scopus.com/inward/record.url?scp=85072774761&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072774761&partnerID=8YFLogxK
U2 - 10.1097/INF.0000000000002427
DO - 10.1097/INF.0000000000002427
M3 - Article
C2 - 31568142
AN - SCOPUS:85072774761
SN - 0891-3668
VL - 38
SP - 1038
EP - 1044
JO - Pediatric Infectious Disease Journal
JF - Pediatric Infectious Disease Journal
IS - 10
ER -