T231. QUALITY OF LIFE IN ANTIPSYCHOTIC-NAïVE YOUTH: EXPLORING THE INTERPLAY WITH METABOLIC SIDE-EFFECTS
Bibliographic record
Abstract
Abstract Background This observational, exploratory pilot study aims to understand changes in clinical presentation and quality of life (QoL) in antipsychotic-naïve youth. Outcomes for these first-episode psychosis patients will be explored in the context metabolic changes during their first three months of treatment. Methods Participants (n = 10) aged 14–29 years were followed throughout their first three months of treatment with an antipsychotic medication (of physician’s/patient’s choice). Participants were evaluated on metabolic indices including weight, waist circumference, and BMI, as well as QoL [Pediatric Quality of Life Index (PedsQL) and PedsQL General Well-Being Scale] and clinical presentation [Clinical Global Impression (CGI) scale]. Descriptive statistics and nonparametric tests were conducted to compare significant changes across these variables. Results Significant changes in metabolic indices were observed over the first three months of treatment, as measured in weight gain (p = 0.02), increased waist circumference (p = 0.02) and increased BMI (p = 0.01). Physicians rated clinical improvement in participants, CGI score (p = 0.03). However, patient-rated QoL remained unchanged within all subcategories, including psychosocial (p = 0.52) and general well-being (p = 0.35). Discussion It appears that antipsychotic-related metabolic side effects may not impede upon early clinical improvement or impact QoL. In addition, there does not appear to be a relationship between clinical presentation and QoL as our small sample show QoL remains neutral or positive. Taken together, these findings suggest that clinical presentation and metabolic side effects may not be influential in early psychosis. From a clinical perspective, these early pilot data add to the literature highlighting the significant, early, antipsychotic-induced metabolic side effects in youth, and also encouraging clinicians to attend to the interplay between treatment and related QoL. This study is limited by its small sample size and naturalistic treatment allocation. These participants will be followed longitudinally to monitor development of adverse metabolic outcomes as well as changes in QoL in later stages of treatment/illness. The field must to understand how treatment and management of metabolic side effects can be augmented to promote clinical improvement and QoL, given the prevalence of adolescent patients who eventually wish to discontinue antipsychotic drugs because of metabolic side effects.
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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 | 0.001 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".