Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/67966
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dc.contributor.authorPayal B. Patelen_US
dc.contributor.authorTanakorn Apornpongen_US
dc.contributor.authorThanyawee Puthanakiten_US
dc.contributor.authorKulvadee Thongpibulen_US
dc.contributor.authorPope Kosalaraksaen_US
dc.contributor.authorRawiwan Hansudewechakulen_US
dc.contributor.authorSuparat Kanjanavaniten_US
dc.contributor.authorChiawat Ngampiyaskulen_US
dc.contributor.authorWicharn Luesomboonen_US
dc.contributor.authorJurai Wongsawaten_US
dc.contributor.authorLy Penh Sunen_US
dc.contributor.authorKea Chettraen_US
dc.contributor.authorVonthanak Saphonnen_US
dc.contributor.authorClaude A. Mellinsen_US
dc.contributor.authorKathleen Maleeen_US
dc.contributor.authorSerena Spudichen_US
dc.contributor.authorJintanat Ananworanichen_US
dc.contributor.authorStephen J. Kerren_US
dc.contributor.authorRobert Paulen_US
dc.date.accessioned2020-04-02T15:12:37Z-
dc.date.available2020-04-02T15:12:37Z-
dc.date.issued2019-10-01en_US
dc.identifier.issn15320987en_US
dc.identifier.issn08913668en_US
dc.identifier.other2-s2.0-85072774761en_US
dc.identifier.other10.1097/INF.0000000000002427en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072774761&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/67966-
dc.description.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.en_US
dc.subjectMedicineen_US
dc.titleTrajectory Analysis of Cognitive Outcomes in Children with Perinatal HIVen_US
dc.typeJournalen_US
article.title.sourcetitlePediatric Infectious Disease Journalen_US
article.volume38en_US
article.stream.affiliationsNakornping Hospitalen_US
article.stream.affiliationsNew York State Psychiatric Instituteen_US
article.stream.affiliationsPrapokklao Hospitalen_US
article.stream.affiliationsChulalongkorn Universityen_US
article.stream.affiliationsKhon Kaen Universityen_US
article.stream.affiliationsThe HIV Netherlands Australia Thailand Research Collaborationen_US
article.stream.affiliationsHJFen_US
article.stream.affiliationsNorthwestern University Feinberg School of Medicineen_US
article.stream.affiliationsMissouri Institute of Mental Healthen_US
article.stream.affiliationsYale Universityen_US
article.stream.affiliationsUniversiteit van Amsterdamen_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsUniversity of Health Sciencesen_US
article.stream.affiliationsNational Center for HIV/AIDS Dermatology and STDsen_US
article.stream.affiliationsQueen Savang Vadhana Memorial Hospitalen_US
article.stream.affiliationsBamrasnaradura Infectious Diseases Instituteen_US
article.stream.affiliationsChiangrai Prachanukroh Hospitalen_US
Appears in Collections:CMUL: Journal Articles

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