Mortality, Health Care Use, and Costs of Weaning Center Survivors and Matched Prolonged ICU Stay Controls
Bibliographic record
Abstract
BACKGROUND: Quantification of long-term survival, health care utilization, and costs of prolonged ventilator dependence informs patient/family decision-making, health care policy, and understanding of specialized weaning centers (SWCs) as alternate care models. Our objective was to compare survival trajectory, health care utilization, and costs of SWC survivors with a matched cohort of ≥ 21-d-stay ICU patients. METHODS: This was a retrospective longitudinal (12 y) case-control study linking to health administrative databases with matching on age, sex, Charlson comorbidity index, income quintiles, and days in ICU and hospital in preceding 12 months. RESULTS: We matched 201 SWC subjects to 201 prolonged ICU survivors (402-subject cohort); 42% had a Charlson score of > 4. Risk of death at 12 months was lower in SWC subjects (hazard ratio [HR] 0.70 [95% CI 0.54–0.91]) adjusting for length of hospital admission (HR 1.02 [95% CI 1.00–1.04]) and number of care location transfers (HR 0.84 [95% CI 0.75–0.93]). By follow-up end, more SWC subjects died, 149 (73%) versus 127 (62%). We found no difference in discharge to home. At 12 months, acute health care utilization was comparable for the entire cohort, except hospital readmission rates (median interquartile range [IQR] 2 [1–3) vs 1 [1–2] d). Median (IQR) cost 12 months after unit discharge was CAD $68,165 ($19,894–$153,475). 12-month costs were higher in the SWC survivors (CAD $82,874 [$29,942–$224,965] vs CAD $55,574 [$6,572–$128,962], P < .001). SWC survivors had higher community health care utilization. Regression modeling demonstrated cost was associated with stay and care transfers but not SWC admission. Over 12-y follow-up, health care utilization and costs were higher in SWC survivors. CONCLUSIONS: SWC admission may confer some medium-term survival advantage; however, this may be influenced by selection bias associated with admission criteria.
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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 | 0.002 |
| 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 | 0.000 |
| 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".