Greater Arterial Stiffness in Children with or without Second-generation Antipsychotic Treatment for Mental Health Disorders: Rigidité Artérielle Plus Importante Chez Les Enfants Avec ou Sans Traitement Par Antipsychotiques de la Deuxième Génération Pour des Troubles de Santé Mentale
Bibliographic record
Abstract
Objective: Second-generation antipsychotics (SGAs) are used for a variety of mental disorders and are associated with cardiometabolic side effects in children. The objective of this study was to assess the cardiovascular health of children with mental disorders that are SGA-treated or SGA-naive. Methods: SGA-treated ( n = 47) or SGA-naive ( n = 37) children (aged 6 to 18 years) with mental disorders and control children ( n = 83, no mental disorder) underwent assessment for cardiac function and morphology by echocardiography, aortic pulse wave velocity (PWV), and carotid intima-media thickness (cIMT). Body mass index (BMI) z-scores, waist circumference z-scores, systolic and diastolic blood pressure (BP) percentiles for height and sex, and fasting plasma glucose, insulin, triglycerides, and cholesterol were also assessed. Differences between SGA-treated, SGA-naive, and control children were assessed by linear and log-linear regression models. Results: SGA-treated children had greater BMI z-scores and overweight/obesity (BMI ≥ 85th percentile for age and sex) and hypertension than SGA-naive and control children. The PWV geometric mean was 11.1% higher in SGA-treated (95%CI, 3.95 to 18.77) and 12.9% higher in SGA-naive children (95% CI, 5.60 to 20.59) compared to controls in models adjusted for age, sex, BMI, and systolic BP percentile. Left ventricular (LV) end-diastolic dimension/body surface area (BSA), LV end-systolic dimension/BSA, and LV ejection fraction were lower in SGA-treated and SGA-naive children compared to controls in models adjusted for sex and age. Conclusions: Children with mental disorders have greater arterial stiffness and altered cardiac structure/function than children with no mental health diagnosis. SGA treatment in children is not associated with alterations in cardiovascular structure/function.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".