Mortality and patient disposition after ICU tracheostomy for secretion management vs. prolonged ventilation: a retrospective cohort study
Bibliographic record
Abstract
BACKGROUND: There is little research on long-term, patient-centered outcomes in critically ill patients undergoing tracheostomy for secretion management or prolonged ventilation. The goal of this study was to determine and compare hospital and long-term mortality, and incidence of new institutionalization amongst patients who underwent an ICU tracheostomy for these two aforementioned indications. METHODS: This was a single center historic cohort study of all ICU patients who received a tracheostomy for secretion management or prolonged ventilation from 2011 to 2022. We compared hospital and long-term mortality and incidence of new institutionalization between these two groups. RESULTS: A cohort of 247 patients (133 secretion management, 114 prolonged ventilation) was established. Overall hospital mortality was 86/247 (35%), mortality at 1 year was 106/207 (51%), and at 3 years was 117/167 (70%), with no significant difference between the two indications. Patients with prolonged ventilation indication had a significantly higher ICU mortality [34/114 (30%) vs. 13/133 (10%), P < 0.001]. Amongst hospital survivors, 49/137 (36%) were unable to return home, with significantly more patients tracheostomized for secretion management requiring new institutionalization [37/78 (47%) vs. 12/59 (20%), P = 0.002]. CONCLUSIONS: Tracheostomy indication may be an important determinant of short- and long-term patient-centered outcomes. Patients receiving a tracheostomy for secretion management were twice as likely to be discharged to a new institution compared to prolonged ventilation patients. Patient-centered outcomes should be included in future studies and if confirmed, these outcomes should be incorporated into discussions about tracheostomy decision making.
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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 | 0.000 |
| 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".