Abstract 320: Statewide Implementation of the Prehospital Traumatic Brain Injury Guidelines in Children: The EPIC4Kids Study
Bibliographic record
Abstract
Introduction: The EPIC Study implemented the national EMS TBI Guidelines in a massive, statewide initiative (>11,000 providers trained, 133 agencies). While implementation was not associated with improved survival to discharge in moderate or critically-severe TBI in the primary (all-age) study, the adjusted odds of survival doubled in severe TBI and tripled in severe, intubated TBI. We now report the preplanned pediatric subgroup analysis (“EPIC4Kids”-NIH R01NS071049). Methods: Multisystem, intention-to-treat study using a before/after controlled design in patients with moderate to critically severe TBI. Interventions: Prevention/treatment of hypoxia, hypotension, and hyperventilation by EMS providers. Inclusion: Age<18; CDC Barell Matrix Type 1; 1/07-6/15. Severity subgroups [Head Region Severity Score (IDC-based AIS equivalent)]: Moderate=1-2; Severe=3-4; Critical=5-6. The pre-implementation (P1) and post-implementation (P3) cohorts were compared using logistic regression (Firth’s approach when comparisons had small event numbers), adjusting for risk factors/confounders. Results: Included were 2801 cases [P1=2041 (72.9%), P3=760 (27.1%); median age 11 (IQR 2, 15); 62.9% male]. The all-severity P3 vs P1 cohort analysis yielded adjusted odds (aOR) of 1.16 (95%CI 0.697, 1.92, p=0.57) for survival. In severe TBI (P1=1405, P3=605; 80% of P3 cases), but not moderate or critical TBI, adjusted survival was significantly improved after implementation (Figure; p=0.049). Improvement in survival for those with severe, intubated TBI (P1=174, P3=44) approached significance (Fig; p=0.11). Conclusion: In the first controlled study of its kind, implementation of the EMS TBI guidelines was independently associated with a dramatic increase in adjusted survival among children with severe TBI. The aOR for survival was even larger than that of the overall (all-age) EPIC Study and supports widespread implementation of the guidelines 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".