Blunt Versus Penetrating Neck Trauma: A Retrospective Cohort Study
Bibliographic record
Abstract
OBJECTIVES/HYPOTHESIS: Despite being common, neck injuries have received relatively little attention for important quality of care metrics. This study sought to determine the association between blunt and penetrating neck injuries on mortality and length of stay, and to identify additional patient and hospital-level characteristics that impact these outcomes. STUDY DESIGN: Retrospective cohort study utilizing the American College of Surgeons Trauma Quality Improvement Program database. METHODS: Adult patients (≥18) who sustained traumatic injuries involving the soft tissues of the neck between 2012 and 2016 were eligible. Multiple imputation was used to account for missing data. Logistic regression and negative binomial models were used to analyze 1) in-hospital mortality and 2) length of stay respectively while adjusting for potential confounders and accounting for clustering at the hospital level. RESULTS: In a cohort of 20,285 patients, the crude mortality rate was lower in those sustaining blunt neck injuries compared to penetrating injuries (4.9% vs. 6.0%, P < .01), while length of hospital stay was similar (median 9.9 vs. 10.2, P = 0.06). In adjusted analysis, blunt neck injuries were associated with a reduced odds of mortality during hospital admission (odds ratio: 0.66, 95% confidence intervals [0.564, 0.788]), as well as significant reductions in length of stay (rate ratio: 0.92, 95% confidence intervals [0.880, 0.954]). CONCLUSIONS: Blunt neck injuries are associated with lower mortality and length of stay compared to penetrating injuries. Areas of future study have been identified, including elucidation of processes of care in specific organs of injury. LEVEL OF EVIDENCE: Level 3 Laryngoscope, 131:E1109-E1116, 2021.
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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 | 0.000 |
| 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) | 0.001 | 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 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".