The role of routine FIBERoptic bronchoscopy monitoring during percutaneous dilatational TRACHeostomy (FIBERTRACH): a study protocol for a randomized, controlled clinical trial
Bibliographic record
Abstract
BACKGROUND: Tracheostomy is one of the most frequent techniques in intensive care units (ICU). Fiberoptic bronchoscopy (FB) is a safety measure when performing a percutaneous dilatational tracheostomy (PDT), but the controversy surrounding the routine use of FB as part of the procedure remains open. National surveys in some European countries showed that the use of FB is non-standardized. Retrospective studies have not shown a significant difference in complications between procedures performed with or without a bronchoscope. International guidelines have not been able to establish recommendations regarding the use of FB in PDT due to lack of evidence. DESIGN: This is a multicenter (three centers at the time of publishing this paper) randomized controlled clinical trial to examine the safety of percutaneous tracheostomy using FB. We will include all consecutive adult patients admitted to the ICU in whom percutaneous tracheostomy for prolonged mechanical ventilation is indicated and with no exclusion criteria for using FB. Eligible patients will be randomly assigned to receive blind PDT or PDT under endoscopic guidance. All procedures will be performed by experienced intensivists in PDT and FB. A Data Safety and Monitoring Board (DSMB) will monitor the trial. The primary outcome is the incidence of perioperative complications. DISCUSSION: FB is a safe technique when performing PDT although its use is not universally accepted in all ICUs as a routine practice. Should PDT be monitored routinely with endoscopic guidance? This study will assess the role of FB monitoring during PDT. TRIAL REGISTRATION: ClinicalTrials.gov NCT04265625. Registered on February 11, 2020.
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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 | 0.009 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| 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".