Airway Management for Penetrating Head and Neck Trauma, Experience of a Trauma Center from 2012 to 2020
Bibliographic record
Abstract
Abstract BackgroundFrom a series of penetrating head and neck trauma managed in a level-1 Trauma Center, the main aim of this study was to determine predictive factors for early definitive airway management, during pre-hospital time or in the emergency room. The secondary objective was to perform a descriptive epidemiological analysis of the series.MethodsA single-center retrospective study was conducted between January 1 2012 and June 30 2020. in a French Level 1 Trauma Center. The patients included were adults treated for penetrating head and neck trauma, regardless of the mechanism and the causal agent.Results 56 patients were included. Ballistic origin, Shock Index >0.9 and active bleeding in the emergency room were predictive criteria for definitive airway management during pre-hospital time or in the emergency room. 78.6% of patients were male. Median age was 54 years. The trauma followed a suicide attempt in 50% of cases, an accident in 26.7% and an assault in 23.2%, with use of a knife in 42.9% and firearm in 26.8%. Mortality was 10.7%. 16.1% of patients had undergone pre-hospital intubation and 19.1% intubation in the emergency room. CT scan was performed in 87.5% of cases, surgery in 96.4% and tracheotomy in 37.5%. A laryngotracheal lesion was seen in 14.2%. In 50% of patients, primary admission was to intensive care. Conclusions Ballistic origin, Shock Index >0.9 and active bleeding in the emergency room were predictive criteria for early definitive airway management. This study established the profile of patients suffering from penetrating head and neck trauma managed in a Trauma Center over a period of 9 years.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".