Quality of the Triage of Children With Anaphylaxis at the Emergency Department
Bibliographic record
Abstract
OBJECTIVE: Early recognition of symptoms is essential in anaphylaxis management. The Canadian Paediatric Emergency Triage and Acuity Scale prioritizes anaphylaxis to level I or II (resuscitation or emergency). We analyzed the accuracy of pediatric anaphylaxis triage. METHODS: This was a retrospective review of the triage charts (adaptation of the Canadian Paediatric Emergency Triage and Acuity Scale) of 137 children attended for anaphylaxis at our pediatric emergency department. Per triages' accuracy, charts were divided into TR1 (levels I-II) and TR2 (levels III-V), comparing demographics, initial triage level given by initial assessment (Paediatric Assessment Triangle), vital signs, observations recorded by the staff, and waiting times for physician. RESULTS: Forty-six (33.3%) were triaged correctly (TR1 group), and 91 (66.7%) were not. Median ages were similar (TR1: 5 years [interquartile range, 13.1 years] vs TR2: 4.5 years [interquartile range, 14.5 years]; P = 0.837). Initial triage level 5 was given by Paediatric Assessment Triangle to 69.5% of TR1 and 83% of TR2 cases (P = 0.001; likelihood ratio for TR2: 1.985 [95% confidence interval, 1.11-3.49]). Vital signs were normal in 71.7% of TR1 and 94.5% of TR2 patients (P < 0.001; likelihood ratio for TR2: 2.602 [95% confidence interval, 1.22-5.52]). Symptoms suggestive of anaphylaxis (mention of 2 different organs) were recorded in 45.6% of TR1 and 48.3% of TR2 charts (P = 0.08). Median waiting times were 3 minutes (interquartile range, 26 minutes) and 11 minutes (interquartile range, 111 minutes) for TR1 and TR2, respectively (P = 0.001). CONCLUSIONS: Current triage, based on severity perception, missed most of the cases. Anaphylaxis-defining symptoms were overlooked. Inaccurate triage delayed medical attention. Improving measures, such as emphasizing symptom recognition and defining anaphylaxis risk discriminators, is mandatory to improve their identification.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.003 | 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".