Serotonin Syndrome in Children and Adolescents Exposed to Selective Serotonin Reuptake Inhibitors - A Review of Literature.
Bibliographic record
Abstract
OBJECTIVE: The use of selective serotonin reuptake inhibitors (SSRIs) in children and adolescents is increasing in Canada and internationally. While SSRIs are known for their generally well tolerated side effect profile, serotonin syndrome can arise as a severe complication. The objective of this study is to review literature on SSRI-related serotonin syndrome in the pediatric population. METHODS: An extensive review of literature on "serotonin syndrome" is conducted using PubMed from inception to March 2019, focusing on subjects zero to 18 years of age. Descriptive statistics are used for data analysis. RESULTS: =18 studies are included, all of which are case reports. The cases encompass ethnically diverse subjects ranging from 4 to 18 years of age, diagnosed with serotonin syndrome after exposure to SSRI agents. Most common presenting symptoms are confusion, agitation, tachycardia, hypertension, hyperreflexia, rigidity, and tremor. Serotonin syndrome manifested from SSRI monotherapy (7/18; 3 after first dose), when SSRI was combined with another serotonergic agent (6/18), or after an overdose (5/18). Risk factors include high starting doses and co-prescription. Changing multiple medications at the same time adds to diagnostic challenges. CONCLUSIONS: Serotonin syndrome is a severe adverse drug reaction associated with SSRI, and can be associated with diverse presentations in the pediatrics population and diagnostic challenges. Clinicians are recommended to be vigilant in the monitoring and recognition of serotonin syndrome.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.000 | 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 teacher head, 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".