Hyperglycaemia in comatose survivors of out-of-hospital cardiac arrest
Bibliographic record
Abstract
BACKGROUND: The optimal blood glucose target during the early hospitalisation of comatose survivors of out-of-hospital cardiac arrest (OHCA) has not been established. METHODS: In a retrospective cohort study, we examined clinical outcomes in relation to mean blood glucose during the first 96 hours of hospital admission in comatose survivors of OHCA with an initial shockable rhythm. Mean blood glucose was assessed as a continuous (primary analysis) and categorical variable: <6 mmol/L, 6 to <8 mmol/L and ⩾8 mmol/L. Co-primary outcomes were the rates of death during the index hospitalisation and severe neurological dysfunction at discharge. We used multivariable logistic regression analyses to adjust for baseline differences in patient and index event characteristics. RESULTS: Among 122 eligible patients, death and severe neurological dysfunction occurred in 29 (24%) and 40 (33%) patients, respectively. Higher mean blood glucose levels during the first 96 hours of admission were associated with increased odds of death (odds ratio (OR): 1.50; 95% confidence interval (CI): 1.17-1.92; p = 0.001) and severe neurological dysfunction (OR: 1.42; 95% CI: 1.11-1.80; p = 0.004). The associations between mean blood glucose and the odds of death (OR: 1.35; 95% CI: 1.04-1.76; p = 0.02) and severe neurological dysfunction (OR: 1.28; 95% CI: 1.00-1.64; p = 0.05) persisted after adjusting for age, time from cardiac arrest to return of spontaneous circulation (ROSC) and vasoactive agent use. There was no interaction between age, time from cardiac arrest to ROSC or a history of diabetes mellitus and the relationship between mean blood glucose and co-primary outcomes. CONCLUSIONS: In comatose survivors of OHCA with initial shockable rhythms, higher mean blood glucose levels during the first 96 hours of admission are associated with increased rates of death and severe neurological dysfunction.
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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 | 0.000 | 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 | 0.001 |
| 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 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".