Therapeutic hypothermia for out-of-hospital cardiac arrest: An analysis comparing cooled and not cooled groups at a Canadian center
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Out of hospital cardiac arrest is a devastating event and is associated with poor outcomes; however, therapeutic hypothermia (TH) is a novel treatment which may improve neurological outcome and decrease mortality. Despite this, TH is not uniformly implemented across Coronary Care and Intensive Care Units in Canada. OBJECTIVE: The purpose of this study was to compare cerebral recovery and mortality rates between patients in our Coronary Care Unit who received TH with a historical control group. MATERIALS AND METHODS: A retrospective chart review was performed of patients admitted to a tertiary care center with out-of-hospital cardiac arrest. Twenty patients who were admitted and cooled after December 2006 were compared with 29 noncooled patients admitted in the 5 years prior as a historical control group. The primary outcomes of interest were in-hospital mortality and neurological outcome. RESULTS: Eleven of 20 (11/20, 55%) patients who were cooled as per protocol survived to hospital discharge, all having a good neurological outcome. Eleven of 29 (11/29, 38%) noncooled patients survived to hospital discharge (Odds Ratio: 0.50, 95% CI: 0.16- 1.60, P=0.26). Eleven of 20 patients who were cooled had a good neurological outcome (CPS I-II, 11/20, 55%), versus 7 of 29 (7/29, 24%) of noncooled patients (Odds ratio: 3.84, 95% CI: 1.13- 13.1, P=0.03). One hundred percent (11/11) of survivors in the cooled group had a good neurological outcome. CONCLUSION: In our center, the use of TH in out-of-hospital cardiac arrest survivors was associated with improved neurological outcome.
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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) | 0.001 | 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 | 0.000 |
| 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 it