Prolonged mechanical ventilation in Alberta: A 10 year historical cohort study
Bibliographic record
Abstract
INTRODUCTION Patients requiring Prolonged Mechanical Ventilation (PMV) are a small but important subset of critically ill patients treated in an Intensive Care Unit (ICU). The purpose of this study is to identify and characterize the PMV population in Alberta, Canada over a period of 10 years and to determine mortality, discharge disposition and healthcare cost.METHODS A search of the Alberta Health Services Enterprise Data Warehouse was performed to characterize all patients with 7 days or more of mechanical ventilation in an acute care hospital in Alberta from 2009-2019. Data linkages were performed to identify survival up to 2 years and Healthcare cost was estimated using resource intensity weight (RIW) score.RESULTS The search identified 11,739 patients ventilated for ≥7 days from 2009-2019. In this cohort, 59% of patients were ventilated for 7-13 days, 20% for 14-20 days and 21% for 21 days or more. The in-hospital survival rate was 68% and the one-year survival from initiation of ventilation was 61%. Of the patients discharged alive, 93% were discharged to community and 7% were discharged to a continuing care center. The median healthcare cost for index hospital admission was $119,627 ($70,549-$200,036)CONCLUSION PMV users require a significant duration of mechanical ventilation, a prolonged stay in the ICU and hospital and high healthcare resource utilization. The majority of these patients survive their index admission and are discharged to community.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".