Pediatric Bilateral Vocal Cord Immobility: New Treatment With Preservation of Voice
Bibliographic record
Abstract
OBJECTIVES: Pediatric bilateral vocal cord immobility (BVCI) represents a severe life-threatening condition that often causes severe dyspnea. Endoscopic arytenoid lateral abduction (EALA) is a relatively new, secure, minimal-invasive surgical technique. The present prospective observational study aims to evaluate the effects of EALA in terms of respiratory function, voice quality, and swallowing capabilities. METHODS: Twenty-one pediatric patients with BVCI underwent EALA. Eleven out of 21 patients had tracheostomy at the time of surgery. Pre and postoperative functional assessments included endoscopic evaluation, maximum phonation time, pediatric Voice Handicap Index (pVHI), GIRBAS Scale criteria, and Montreal Children's Hospital Feeding scale (MCH-Feeding scale). peak tidal inspiratory flow or peak inspiratory flow (PIF) and number of desaturations/hour (ODI/h) were evaluated in patients without tracheostomy. RESULTS: Postoperative endoscopy showed glottic airway improvement in all patients. Average time for decannulation was 4.6 weeks. One patient has not yet been decannulated. No major complications occurred. In patients without tracheostomy, we observed a significant improvement of ODI/h and PIF after surgery (p < 0.05) as expected. PVHI, MCH-Feeding scale, and GIRBAS score significantly worsened 1 month after surgical intervention (p < 0.05). One year after surgery, however, all values, except for B and A parameters of the GIRBAS score, returned to levels comparable to those preoperative. CONCLUSIONS: EALA represents a simple, safe and effective solution in pediatric patients with BVCI, avoiding tracheostomy, allowing early decannulation, preserving swallowing function, and maintaining good quality voice. LEVEL OF EVIDENCE: 4 Laryngoscope, 133:2325-2332, 2023.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".