Relationships between markers of vascular dysfunction and neurodevelopmental outcomes in perinatally HIV-infected youth
Bibliographic record
Abstract
OBJECTIVE: To examine the relationship between markers of vascular dysfunction and neurodevelopmental status in pediatric HIV disease. DESIGN: A cross-sectional design within a prospective, 15-site cohort study conducted in the United States. METHODS: Nine vascular biomarkers were examined in 89 HIV-infected children: soluble P-selectin/sCD62P, fibrinogen, adiponectin, monocyte chemoattractant protein-1/CCL-2, interleukin-6, C-reactive protein, soluble vascular cell adhesion molecule-1/sCD106, sE-selectin/sCD62E, and soluble intercellular adhesion molecule-1/sCD54. The Wechsler Intelligence Scale for Children-Fourth edition (WISC-IV) was administered yielding indices for verbal comprehension, perceptual reasoning, working memory and processing speed, and overall composite Full-Scale IQ score. Linear regression models were used to evaluate neurodevelopmental status (measured by WISC-IV scores) as a function of each biomarker while adjusting for demographics, disease severity, and receipt of HAART. Biomarker levels were evaluated in quartiles to evaluate trends in WISC-IV responses. RESULTS: Among the 89 HIV-infected children (median age = 12 years), 56% were girls, 71% black, 16% Hispanic, and 43% had yearly household income below US $20,000. Log (soluble P-selectin) was significantly correlated with all WISC-IV scores; adjusted slopes showed 6-11-point average decrease in scores for each one log unit increase in soluble P-selectin. Final linear regression models for log (fibrinogen) adjusted for sociodemographic and disease characteristics also indicated a negative correlation with all WISC-IV scores (13-30-point decrease for each one log unit increase in fibrinogen); these decreases were significant in the verbal comprehension, perceptual reasoning, and Full-Scale IQ scores. CONCLUSION: Proinflammatory microvascular and immunologic mechanisms may be involved in neurodevelopmental impairment in children with perinatally acquired HIV disease.
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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 | 0.000 | 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".