151-LB: Impact of Concurrent Use of Selective Serotonin Reuptake Inhibitors and Second-Generation Antipsychotic Medications on Cardiometabolic Health in Children
Bibliographic record
Abstract
Around 20% of Canadian children are diagnosed with a mental health disorder. Selective serotonin reuptake inhibitors (SSRIs) and second-generation antipsychotics (SGAs) are common treatments. Treatment with SSRIs or SGAs is associated with increased cardiometabolic complications, and risk for type 2 diabetes in children. Little is known about the metabolic effects of concurrent use of SSRIs with SGAs. Our aim was to determine if the combination of SSRI and SGA treatment was associated with cardiometabolic complications in children. Cross-sectional data were collected from children with mental health disorders (aged 5-18 years), recruited from Child and Adolescent Psychiatry at BC Children’s Hospital. Children were classified as naïve (n=242), SSRI-treated (n=123), SGA-treated (n=112), or SSRI+SGA treated (n=98). Anthropometric data and a fasting blood sample were collected. Relationships between treatment groups and cardiometabolic risk factors were determined by adjusted linear and logistic regression models. SSRI+SGA-treated children had higher waist circumference z-scores (0.91 ± 0.89 vs. 0.48 ± 0.95; P<0.05) and a greater odds of waist circumference ≥90th percentile (OR=2.63, 95% CI: 1.34, 5.18; P<0.05) compared to SSRI-treated children. SSRI+SGA-treated children had higher plasma total cholesterol (4.63 ± 0.93 vs. 4.34 ± 0.84 mmol/L; P<0.05, adjusted by age, sex, and BMI z-scores) and a greater odds of plasma total cholesterol ≥5.18 mmol/L (OR=2.36, 95% CI: 1.05, 5.30; P<0.05, adjusted by age, sex, and BMI z-scores) than SGA-treated children. No differences in plasma fasting glucose, insulin, or insulin resistance (HOMA-IR) were observed between the treatment groups. Concurrent SSRI+SGA treatment is associated with elevated waist circumference and plasma total cholesterol in children. Our findings suggest greater cardiometabolic complications in children concurrently treated with SSRIs and SGAs. Disclosure R. Thandi: None. A. M. Wiedeman: None. A. M. Devlin: None. C. Panagiotopoulos: Advisory Panel; Self; Dexcom, Inc., Speaker’s Bureau; Self; Eli Lilly and Company. Funding BC Mental Health and Substance Use Services
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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 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".