Mechanism of death after early decompressive craniectomy in traumatic brain injury
Bibliographic record
Abstract
Background Decompressive craniectomy in devastating traumatic brain injury is controversial. The impact of decompressive craniectomy on mechanism of death is unclear in the literature to date. Our goal was to determine the mechanism of death between those receiving early decompressive craniectomy and those managed medically. Methods We performed an institutional retrospective review, from June 2003 to June 2013, of adult patients with devastating blunt traumatic brain injury undergoing early decompressive craniectomy who subsequently died. We compared this group to a retrospectively matched group based on: age, pre-hospital KPS, Marshall diffuse computed tomography grades, Injury Severity Scores, and admission laboratory values. Results Forty patients were analyzed; 20 with decompressive craniectomy and 20 without. The two groups were similar based on admission demographics, with the only statistically significant difference being platelet levels. Upon analysis, through both univariate and multivariate regression analysis, the mechanism of death was significantly different (p = 0.003; OR: 0.07 (0.01–0.41) and p = 0.04; OR: 0.08 (0.01–0.87)) with the decompressive craniectomy and non-decompressive craniectomy groups displaying neurological death rates of 10.0% versus 60.0%, respectively, with all other patients in both groups dying secondary to circulatory arrest after withdrawal of life-sustaining therapy. Time to death was significantly longer in the decompressive craniectomy group (2.83 vs. 9.21 days, respectively) (p = 0.01; OR: 0.65 (0.46–0.91). Conclusions Progression to neurological death appears to be more common in those devastating blunt traumatic brain injury patients treated medically compared to those undergoing early decompressive craniectomy. Given the implications of end-of-life care and societal implications, the mechanism of death determination and organ donation should be reported as relevant outcomes in devastating traumatic brain injury studies.
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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 | 0.002 |
| 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 | 0.001 | 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 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".