Activation Adverse Events Induced by the Selective Serotonin Reuptake Inhibitor Fluvoxamine in Children and Adolescents
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to examine the prevalence of activation cluster adverse events (AC-AEs) in youths treated with the selective serotonin reuptake inhibitor (SSRI) fluvoxamine for anxiety and the relationship of AC-AEs to SSRI blood levels. METHODS: Data from the Research Units on Pediatric Psychopharmacology (RUPP) Anxiety Study were examined for 45 youths (22 active fluvoxamine, 23 placebo) treated for Diagnostic and Statistical Manual for Mental Disorders, 4(th) edition (DSM-IV) anxiety disorders at the Johns Hopkins University site with an 8-week forced-flexible titration schedule. As part of the double-blind placebo-controlled trial, AC-AEs were recorded by clinicians at weekly patient visits. AC-AEs were defined as hyperactivity, activation, and disinhibition. Demographic characteristics, daily doses, and week-8 blood levels were examined in relation to the presence of AC-AEs. The prevalence of AC-AE and time to first event were established for those who experienced this side effect. RESULTS: AC-AEs were found in 10 of 22 participants (45%) receiving fluvoxamine and only 1 of 23 in the placebo group (4%). The onset of AC-AEs occurred from week 1 to week 8, with the majority occurring at or before week 4. The mean fluvoxamine blood level at week 8 in subjects with AC-AEs was higher than in subjects without AC-AEs (n = 16, t = -2.61, p = 0.04). Neither the age of the participants nor family history of bipolar or anxiety disorder differed between those who did and did not develop an AC-AE. CONCLUSIONS: AC-AEs were common side effects of fluvoxamine, often appeared during the first 8 weeks of treatment, and were associated with higher fluvoxamine blood levels. Close monitoring for AC-AEs, not only when initiating SSRI treatment but also throughout dose titration, is recommended for early identification of activation.
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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 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".