Awake proning in patients with <scp>COVID</scp>‐19‐related hypoxemic acute respiratory failure: A rapid practice guideline
Bibliographic record
Abstract
This rapid practice guideline provides evidence-based recommendations for the use of awake proning in adult patients with acute hypoxemic respiratory failure due to COVID-19. The panel included 20 experts from 12 countries, including one patient representative, and used a strict conflict of interest policy for potential financial and intellectual conflicts of interest. Methodological support was provided by the guidelines in intensive care, development, and evaluation (GUIDE) group. Based on an updated systematic review, and the grading of recommendations, assessment, development, and evaluation (GRADE) method we evaluated the certainty of evidence and developed recommendations using the Evidence-to-Decision framework. We conducted an electronic vote, requiring >80% agreement amongst the panel for a recommendation to be adopted. The panel made a strong recommendation for a trial of awake proning in adult patients with COVID-19 related hypoxemic acute respiratory failure who are not invasively ventilated. Awake proning appears to reduce the risk of tracheal intubation, although it may not reduce mortality. The panel judged that most patients would want a trial of awake proning, although this may not be feasible in some patients and some patients may not tolerate it. However, given the high risk of clinical deterioration amongst these patients, awake proning should be conducted in an area where patients can be monitored by staff experienced in rapidly detecting and managing clinical deterioration. This RPG panel recommends a trial of awake prone positioning in patients with acute hypoxemic respiratory failure due to COVID-19.
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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 | 0.015 | 0.056 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.008 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".