Variation in length of intensive care unit stay after cardiac arrest: Where you are is as important as who you are
Bibliographic record
Abstract
OBJECTIVE: To determine whether hospital site is independently associated with length of intensive care unit (ICU) stay in those patients who die in hospital after experiencing a cardiac arrest. DESIGN: Retrospective cohort study. SETTING: Thirty-one Canadian ICUs, all but one being members of the Critical Care Research Network. PATIENTS: All patients admitted to these ICUs after resuscitation from a cardiac arrest. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Retrospective analysis of prospectively collected clinical data. Using gamma regression with ICU length of stay as the dependent variable, we found the following variables to be independently associated with ICU length of stay: age, gender, Acute Physiology and Chronic Health Evaluation II score, Glasgow Coma Scale score, hospital size, and hospital site. CONCLUSIONS: In this cohort of patients admitted to ICU after cardiac arrest, hospital site was strongly associated with ICU length of stay after controlling for patient-specific factors. Variation in processes of care among ICUs may point to opportunities for improvement.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".