Executive Functioning in Children and Adolescents With Perinatal HIV Infection and Perinatal HIV Exposure
Bibliographic record
Abstract
BACKGROUND: Executive functions (EFs) are critical for management of life activities, but few studies have evaluated EFs in children and adolescents with perinatally acquired HIV (PHIV), who are at risk for problems in academics, behavior, and medication adherence. We compared EFs in youth with PHIV and in perinatally HIV-exposed but uninfected (PHEU) youth. METHODS: Four Delis-Kaplan Executive Function System (D-KEFS) subtests were administered to 173 youth with PHIV and 85 PHEU youth, aged 9 to <19 years, who were enrolled in the Pediatric HIV/AIDS Cohort Study (PHACS) Memory and Executive Functioning Study. Youth with PHIV, with or without history of a Centers for Disease Control and Prevention Class C (AIDS-defining) condition (PHIV/C [n = 45] and PHIV/non-C [n = 128], respectively), were compared with each other and with PHEU youth. Among youth with PHIV, associations with measures of current and past disease severity were evaluated using adjusted linear regression models. RESULTS: The PHIV/C group (mean age, 15.5 years), compared with the PHIV/non-C and PHEU groups (mean ages, 14.5 and 12.9 years, respectively), were significantly slower on the Inhibition and Color Naming/Reading Combined conditions of the Color-Word Interference subtest and made more errors on Inhibition; differences between the PHIV/C and PHEU groups persisted in adjusted models. No differences in adjusted means for fluency or problem-solving were found. The PHIV/non-C and PHEU groups did not differ on any measure. Associations of specific EF measures with HIV RNA viral load, CD4-positive T-lymphocyte percentage, and age at greatest disease severity were observed. CONCLUSIONS: Youth with PHIV and previous AIDS-defining conditions performed more poorly on some EF measures. Relationships of EF development with the degree and timing of disease severity require further study. Implications for long-term outcomes and interventions are important avenues for follow-up.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".