77 MANAGEMENT OF PEDIATRIC POST-CONCUSSIVE HEADACHES: A NATIONAL SURVEY OF ABORTIVE THERAPIES USED IN THE EMERGENCY DEPARTMENT
Bibliographic record
Abstract
Abstract Background The incidence of children presenting to an Emergency Department (ED) following concussion has increased markedly in recent decades. Headache is the most commonly associated symptom and recent guidelines emphasize the importance of analgesia, yet evidence to inform treatment of post-concussive headache (PCH) is completely lacking. Objectives This study sought to characterize abortive therapies used to treat PCH among physicians in academic pediatric EDs and to determine whether duration of symptoms and/or headache intensity influence treatment strategies. Design/Methods A scenario-based electronic survey was sent to physician members of the Pediatric Emergency Research Canada (PERC) database. Participants were asked questions regarding management when presented with cases of an adolescent presenting to the ED with PCH refractory to appropriate doses of acetaminophen and ibuprofen. Scenarios differed only by duration of symptoms (48-hours versus 1-month post-injury), as well as headache intensity (moderate versus severe). Descriptive statistics are reported. Results Survey response rate was 63% (n/N=137/219). At 48 hours post-injury, 93% of physicians reported that they would initiate treatment for a headache rated as severe. The most commonly selected medications to treat PCH were metoclopramide (72%), an intravenous bolus of normal saline (47%) and non-steroidal anti-inflammatories (NSAIDS; 35%). There was wide variability among second line strategies for refractory pain following first-line treatment. When presented with PTH pain rated moderate in severity, 63% of respondents would change their management compared to severe pain, with 66% no longer offering pharmacologic treatment in the ED and most frequently selecting oral NSAIDS (58%) when electing to initiate treatment. Medication selection was unchanged when presented with a patient reporting severe PCH at 1 month compared to 48-hours post-injury. Conclusion Most physicians would treat pediatric PCH in the ED for a patient reporting severe pain, however, pain rated as moderate was less likely to receive abortive treatment. Metoclopramide was the most frequently selected medication for analgesia for severe pain. Future research should aim to establish the efficacy of this and comparative treatments for PTH in children.
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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 | 0.005 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".