Relationships between the use of second-generation antipsychotics and changes in total cholesterol levels in children and adolescents perinatally infected with HIV
Bibliographic record
Abstract
PURPOSE: Perinatally HIV-infected children, who are increasingly aging into adolescence and early adulthood, have significant rates of psychiatric co-morbidities, some of which are treated with second-generation antipsychotics (SGAs). SGAs have been associated with elevated total cholesterol (TC) in youth, but no studies have examined this association in perinatally HIV-infected youth. This study examined changes in TC levels of youth with perinatally acquired HIV infection and co-morbid psychiatric conditions treated with SGAs. PATIENTS AND METHODS: Long-term changes in TC levels were examined using data from the US multisite prospective Pediatric AIDS Clinical Trials Group 219C cohort study. The change in TC levels from baseline to 12 months after initiating SGA use was compared between 52 SGA-exposed and 148 matched SGA-unexposed perinatally HIV-infected youth, using generalized estimating equation models adjusting for other covariates. The prevalence and time to incident hypercholesterolemia were also compared between these 2 groups. RESULTS: After adjustment for confounders, 52 youth with prescriptions for SGAs had a larger increase in TC levels than 148 matched youth without antipsychotic prescriptions (mean difference = 9 mg/dL, z = 1.96, df = 1, P = 0.0496). Among youth with TC below 220 mg/dL at baseline, 27% of SGA-exposed youth developed hypercholesterolemia (defined as two consecutive TC measurements ≥220 mg/dL), compared with 13% of SGA-unexposed patients (Fisher's exact test, P = 0.046). CONCLUSIONS: Caution should be used in prescribing SGAs to perinatally HIV-infected youth with psychiatric co-morbidities due to increased risk of hypercholesterolemia. Patients should be monitored, and alternative evidence-based treatments considered when available.
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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 | 0.003 |
| 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 | 0.000 | 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".