Admission base deficit and lactate levels in Canadian patients with blunt trauma
Bibliographic record
Abstract
BACKGROUND: Elevated base deficit (BD) and lactate levels at admission in patients with injury have been shown to be associated with increased mortality. This relationship is undefined in the Canadian experience. The goal of this study was to define the association between arterial blood gas (ABG) values at admission and mortality for Canadians with severe blunt injury. METHODS: A retrospective review of 3,000 consecutive adult major trauma admissions (Injury Severity Score, ≥ 12) to a Canadian academic tertiary care referral center was performed. ABG values at the time of arrival were analyzed with respect to associated mortality and length of stay. RESULTS: A total of 2,269 patients (76%) had complete data available for analysis. After exclusion of patients who sustained a penetrating injury or were admitted for minor falls (ground levels or low height), 445 had an ABG drawn within 2 hours of arrival. Patients who died displayed a higher median lactate (3.6 vs. 2.2, p < 0.0001), a worse median BD (-10 vs. -5, p < 0.0001), and a lower pH (7.23 vs. 7.31, p < 0.0001) at arrival compared with those of survivors. A statistically significant association was also observed between lactate and BD values at arrival and both mortality and length of stay (p < 0.0001). CONCLUSION: Despite population differences, ABGs at admission in Canadian patients with blunt trauma accurately reflect mortality in a similar manner to the previously published literature. Survival curves with lactate and BD values at arrival should be available to all clinicians within their individual trauma centers for both acute care and quality assurance. LEVEL OF EVIDENCE: Prognostic study, level III.
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 | 0.000 | 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) | 0.000 | 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".