17 Decannulation Following Tracheostomy in Children: A Systematic Review
Bibliographic record
Abstract
Abstract Primary Subject area Respirology Background Despite the large morbidity and potential mortality associated with tracheostomy tube decannulation failure, there are currently no consensus guidelines on pediatric tracheostomy decannulation. This has led to wide practice variation that is largely based on expert option. This is the largest review of pediatric decannulation protocols. Objectives To systematically review the literature on existing pediatric decannulation protocols, including the role of polysomnography, and their clinical outcomes. Design/Methods Five online databases were searched for relevant studies from database inception to May 29, 2020. Study inclusion was limited to publications that evaluated tracheostomy decannulation in children 18 years of age and younger. Independent reviewers extracted data, including patient demographics and primary indication for tracheostomy. Methods used to assess readiness for decannulation were noted, including the use of bronchoscopy, tracheostomy tube modifications, and gas exchange measurements. After decannulation, details regarding mode of ventilation, location and length of observation period, and clinical outcomes were also collected. Quality assessment of included studies was performed using the Newcastle-Ottawa Scale (NOS) tool. Descriptive statistical analyses were performed. Results Twenty-three studies with 1328 children were included (Figure 1). Tracheostomy indications included upper airway obstruction at a well-defined anatomic site (37%), upper airway obstruction not at a well-defined site (13%), and need for long-term ventilation (50%). Bronchoscopy was routinely used in 96% of protocols. Tracheostomy tube modifications in the protocols included capping (83%), downsizing (57%), and fenestrations (9%). Measurements of gas exchange in the protocols included polysomnography (72%), oximetry (61%), blood gases (17%), and capnography with end-tidal CO2 (17%). After tracheostomy decannulation, children in 92% of protocols were transitioned to room air, and 38% of protocols used non-invasive ventilation. Most children (76%) were observed in hospital for 48 hours or less. Of all decannulation attempts, 79% were successful. Overall risk of bias in included studies was low. Conclusion The absence of clear evidence-based guidelines in pediatric tracheostomy decannulation has led to large variability in clinical practice. Most protocols include bronchoscopy, tube modifications, gas exchange measurements, and brief hospital admission. Polysomnography plays an integral role in assessing the majority of children for tracheostomy removal. Evidence-based guidelines to standardize pediatric tracheostomy care remain an urgent priority.
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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 | 0.007 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.007 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".