An Overview of the Pediatric Toxidromes and Poisoning Management
Bibliographic record
Abstract
BACKGROUND: Poisoning is one of the leading causes of childhood morbidity and mortality worldwide. Despite the advancement of poison detection by modern investigation methods, the clinical skill of toxidrome recognition by combining the findings from a detailed history, thorough physical examination, and the results of basic investigations is still indispensable for the management of children with suspected poisoning. OBJECTIVE: The aim was to review pediatric toxidromes and poisoning management. METHODS: A literature search was conducted on PubMed (between February 1 and 15, 2020) with keywords "toxidrome" "poisoning" "intoxication" "children" and "pediatric". The search was customized by applying the appropriate filters so as to get the most relevant articles to meet the objective of this review article. RESULTS: Toxidrome recognition may offer a quick guide to possible toxicology diagnosis so that specific antidote can be administered in a timely manner. This article discusses a few commonly encountered toxidromes in pediatric poisoning, with an emphasis on the symptomatology and source of exposure. The antidote and specific management for each toxidrome are also discussed. Although most patients with intoxication can be managed with close observation, supportive measures and antidote treatment, it is unfortunate that antidotes are only available for a limited number of poisons responsible for intoxication. Extracorporeal toxin removal is being increasingly recognized as a mode of treatment for patients with rapid deterioration who are unresponsive to conventional management. The decision to apply such technique and the choice of modality are frequently individualized due to the paucity of high-level evidence. The various patient and toxin/medication factors involved in the decision- making process are discussed. CONCLUSION: Poisoning is a common cause of pediatric accidents and injuries. Physicians should be familiar with common toxidromes and poisoning management.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".