Percutaneous Tracheostomy With a Demistifier Canopy in the COVID-19 Era: A Safe Technique in the Intensive Care Unit
Bibliographic record
Abstract
BACKGROUND: Endoscopic percutaneous tracheostomy (PT) is a safe technique that is performed frequently by otolaryngologists and intensivists. New challenges have been identified in order to maintain the safety of this procedure during the COVID-19 pandemic. A novel approach, using a modified demistifier canopy, was developed during the first wave of the pandemic and implemented for 17 consecutive percutaneous tracheostomies in order to enhance procedural safety. METHODS: A protocol was developed after performing a literature review of tracheostomy in COVID-19 patients. A multidisciplinary tracheostomy team was established, including the departments of otolaryngology, critical care, and respiratory therapy. Simulation was performed prior to each PT, and postoperative debriefings were done. RESULTS: A protocol and technical description of PT using a modified demistifier canopy covering was written and video documented. Data were collected on 17 patients who underwent this procedure safely in our tertiary care hospital. There were no procedure-related complications, and no evidence of COVID-19 transmission to any member of the health care team during the study period. CONCLUSION: As patients continue to recover from COVID-19, their need for tracheostomy will increase. The technique described provides a safe, multidisciplinary method of performing PT in COVID-19 patients.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.005 |
| 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".