Association between trauma center type and mortality for injured children with severe traumatic brain injury
Bibliographic record
Abstract
BACKGROUND: There is conflicting evidence regarding the relationship between trauma center type and mortality for children with traumatic brain injuries. Identification of mortality differences following brain injury across differing trauma center types may result in actionable quality improvement initiatives to standardize care for these children. METHODS: We used Trauma Quality Improvement Program data from 2017 to 2020 to identify children with severe traumatic brain injury (TBI) managed at levels I and II state or American College of Surgeon-verified trauma centers. We used a random intercept multilevel logistic regression model to assess the relationship between exposure (trauma center type either adult, pediatric, or mixed) and outcome (in-hospital mortality). Several secondary analyses were performed to assess the influence of trauma center volume, age strata, and TBI heterogeneity. RESULTS: There were 10,105 patients identified across 512 trauma centers. Crude mortality was 25.2%, 36.2%, and 28.9% for pediatric, adult, and mixed trauma centers, respectively. After adjustment for confounders, odds of mortality were higher for children managed at adult trauma centers (odds ratio, 1.67; 95% confidence interval, 1.30-2.13) compared with pediatric trauma centers. There were several patient demographic and injury factors associated with greater odds of death; these included male sex, self-pay insurance status, interfacility transfer, non-fall related inury, age-adjusted hypotension, lack of pupil reactivity and midline shift >5 mm. Adjustment for trauma volume and subgroup analysis using a homogenous TBI subgroup did not change the demonstrated associations. CONCLUSION: Our results suggest that mortality was higher at adult trauma centers compared with mixed and pediatric trauma centers for children with traumatic brain injuries. Importantly, there exists the potential for unmeasured confounding. We aim for these findings to direct continuing quality improvement initiatives to improve outcomes for brain injured children. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level III.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".