Amitriptyline Intoxication in Children
Bibliographic record
Abstract
Background Amitriptyline ingestion is an important cause of poisoning morbidity and mortality in Turkey and other countries. In contrast to adults, data concerning amitriptyline intoxication in children are limited. The purpose of this study was to investigate amitriptyline intoxication findings in the pediatric population, based on age groups and reported dosages. Methods The medical records of 192 patients admitted to the Karadeniz Technical University Medical Faculty Farabi Hospital Pediatric Emergency Department, Turkey, due to amitriptyline intoxication in 1997–2017 were examined retrospectively. Patients were divided into 6 groups based on amitriptyline doses and 4 groups based on age. Complete blood count, blood glucose, serum electrolytes, renal and liver function tests, coagulation tests (prothrombin time and partial thromboplastin time), and blood gas analysis were studied in all patients. Electrocardiography was performed on all children, and chest radiography and electroencephalography on those with respiratory or central nervous system symptoms. Results Amitriptyline intoxication was most frequently observed between the ages of 1 and 4 years. The most common signs and symptoms observed at time of hospital admission were lethargy and drowsiness (45.3%), sinus tachycardia (19.2%), and nausea and vomiting (13%). The most common laboratory finding was hyperglycemia (17.7). Six patients were intubated because of respiratory failure, and mechanical ventilation was initiated in these cases. One patient with amitriptyline overdose had persistent supraventricular tachycardia. Four children died due to amitriptyline intoxication. Conclusions Tricyclic antidepressant intoxication is a leading cause of mortality and morbidity in children. It is therefore particularly important to identify the clinical and laboratory findings that develop with high-dose consumption.
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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 | 0.001 |
| 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".