Polysomnography: Assessment of decannulation readiness in chronic upper airway obstruction
Bibliographic record
Abstract
OBJECTIVES/HYPOTHESIS: To evaluate the clinical value of polysomnography in patients with a tracheotomy due to chronic upper airway obstruction prior to attempting decannulation. STUDY DESIGN: Retrospective chart review. METHODS: Subjects with chronic upper airway obstruction were identified using a clinical database between 2000 and 2014. All subjects had a tracheotomy, were assessed by the senior author in a tertiary care academic center, and underwent polysomnography prior to attempting decannulation. Patients were excluded if they did not undergo polysomnography or had severe obstructive sleep apnea as the primary indication for tracheotomy. RESULTS: Fifteen patients were identified. The majority (87.5%) of patients were successfully decannulated after their first polysomnography showed acceptable results when carried out with the tracheotomy occluded. Obstructive sleep apnea was identified in four of the nine patients who tolerated overnight tracheotomy occlusion, and continuous positive airway pressure (CPAP) was initiated. An additional four of the remaining six patients were decannulated after subsequent polysomnography demonstrated improvement with CPAP, and two required an additional airway procedure. CONCLUSIONS: Chronic upper airway obstruction requiring tracheotomy can be challenging to treat and successfully decannulate. Indirect laryngoscopy is essential to evaluate the anatomy of the larynx; however, it cannot assess potential increased obstruction during sleep. The study indicates that polysomnography can assist with the evaluation of decannulation readiness in patients with chronic upper airway obstruction as an adjunct measure in addition to imaging and laryngoscopy. LEVEL OF EVIDENCE: 4.
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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".