Effects of Not Intubating Non-Trauma Patients With Low Glasgow Coma Scale Scores: a Retrospective Study
Bibliographic record
Abstract
Background: Endotracheal intubation (EI) is a critical life-saving procedure commonly performed on emergency department (ED) patients who present with altered mental status (AMS). Aims: We aimed to investigate the safety of observing, without EI, patients who present to the ED with decreased levels of consciousness (LOC). Methods: We reviewed the data of all adult ED patients with a Glasgow Coma Scale (GCS) score ≤ 8, during the period between 2012 and 2018, in an academic tertiary care centre. Trauma patients were excluded. The patients were divided into two groups for comparison: those who were intubated and those who were not. Data on mortality, morbidity, and baseline clinical characteristics were collected and analysed. Results: After screening 6334 electronic medical records of patients presenting to the ED with decreased LOC, only 257 patients met the inclusion criteria. 173 (67.3%) patients were intubated, while 84 (32.7%) were not. Among the intubated patients, 165 (95.4%) were intubated early (within two hours of presentation). Mortality, morbidity and length of stay for the intubated group were higher, although the baseline clinical characteristics were the same. Conclusion: It might be safe to observe non-trauma emergency patients with a GCS score ≤ 8 without intubation. However, such decision should be taken carefully, as delayed intubation can be associated with higher mortality and morbidity
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".