Use of rescue noninvasive ventilation for post-extubation respiratory failure
Bibliographic record
Abstract
BACKGROUND: Robust evidence supports the use of preemptive non-invasive ventilation (NIV) after extubation in selected high-risk patient cohorts. In contrast, current guidelines discourage the use of NIV as a rescue therapy for respiratory failure that develops later after extubation, based on earlier studies indicating a potential increase in hospital mortality due to delayed reintubation. Nonetheless, NIV continues to be employed in this setting. We conducted a post-hoc analysis of a randomized trial to assess the clinical outcomes of rescue NIV for post-extubation respiratory failure. METHODS: In this post-hoc analysis of a randomized trial comparing high-flow with Venturi mask oxygen in hypoxemic patients after extubation, we included those who developed post-extubation respiratory failure according to prespecified criteria; patients who received rescue NIV per physician's decision were compared to those who received direct re-intubation. Criteria for re-intubation during NIV were prespecified. Odds ratio after inverse probability of treatment weighting and posterior probabilities by Bayesian regression are reported. RESULTS: Among 494 extubated patients, 147 developed respiratory failure while receiving oxygen therapy, occurring at a median of 37 h [IQR 13-85] after extubation: 83 (57%) were treated with rescue NIV and 64 (43%) received immediate re-intubation. The rate of NIV failure was 58%, without differences between patients with hypoxemic respiratory failure and those with hypercapnia and/or respiratory distress (60% vs. 56%, p = 0.82). In the weighted cohort, the use of rescue NIV, compared to direct re-intubation, was associated with lower intensive care unit mortality (adjusted odds ratio = 0.31 [95%CI: 0.12-0.82], p = 0.019) and similar hospital mortality (adjusted odds ratio = 1.01 [95%CI: 0.43-2.33], p = 0.99). The posterior probability that NIV reduced intensive care unit mortality was > 90% across all priors. The posterior probability that NIV did not increase hospital mortality was 44% under a noninformative prior, 47% under a skeptical prior, and 39% under a pessimistic prior. CONCLUSION: Rescue NIV for post-extubation respiratory failure is associated with high failure rates; however, when applied with well-defined criteria for reintubation, it does not appear to be clearly associated with increases in hospital mortality. A randomized trial to re-evaluate the efficacy of rescue NIV for post-extubation respiratory failure is warranted. CLINICAL TRIAL REGISTRATION: Registered at clinicaltrials.gov (NCT02107183) on April 8th, 2014.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".