Prevalence and Intensive Care Bed Use in Subjects on Prolonged Mechanical Ventilation in Swedish ICUs
Bibliographic record
Abstract
BACKGROUND: The number of patients requiring prolonged mechanical ventilation (PMV) is predicted to escalate due to an aging population. International studies on prevalence and resource utilization of this patient group exist, but data are lacking from Scandinavian ICUs, where there is a relatively low number of ICU beds in relation to population. The primary aim was to identify prevalence of admissions requiring mechanical ventilation ≥ 7-21 d and PMV > 21 d, and their use of ICU bed days in Sweden. Secondary aims were to describe patient characteristics and outcomes. METHODS: We obtained data from the Swedish Intensive Care Registry on admissions age ≥ 18 y mechanically ventilated ≥ 7 d and used open source registry data to calculate the prevalence and use of bed days of admissions ventilated ≥ 7-21 d and PMV > 21 d. RESULTS: Of the 39,510 ICU admissions to Swedish ICUs in 2017, those mechanically ventilated ≥ 7-21 d accounted for 1,643 (4%) admissions, and those with PMV > 21 d accounted for 307 (0.8%) admissions. Of the 109,457 ICU bed days, 22% were consumed by admissions ventilated ≥ 7-21 d and 10% by those with PMV > 21 d. The ICU mortality of both groups was 21%. Admissions with mechanical ventilation ≥ 7 d had a median age of 65 y and were predominantly male (64%). CONCLUSIONS: Admissions to Swedish ICUs who required mechanical ventilation ≥ 7-21 d and PMV > 21 d form a relatively small proportion of all ICU admissions, but consume a significant proportion of ICU beds days. Prevalence of admissions, ICU bed days, and ICU mortality were lower than reports from other countries, but the admissions were predominantly elderly and male, in accordance with other reports.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".