Electromyography in Children's Laryngeal Mobility Disorders
Bibliographic record
Abstract
OBJECTIVES: To describe a consecutive series of children with laryngeal mobility disorders assessed by laryngeal electromyography (LEMG), to propose a grading system for LEMG findings, and to determine whether the LEMG grades correlate with requirement for tracheostomy. DESIGN: Retrospective, observational, uncontrolled study. SETTING: A single pediatric otolaryngology practice. PATIENTS: Children who had LEMG performed and a minimum follow-up of 3 months. MAIN OUTCOME MEASURES: Demographic characteristics, diagnoses, surgical procedures, number of LEMG procedures, and complications were obtained. The LEMG results from the thyroarytenoid and posterior cricoarytenoid muscles were graded 0 to 4 according to amplitude and relation to the phase of respiration. A correlation analysis between the need for tracheostomy and the baseline LEMG score as well as a multivariable analysis to determine the predictors of requirement for tracheostomy were performed. RESULTS: Between April 28, 2008, and November 2, 2011, 43 LEMG procedures were performed on 23 patients (13 girls; mean [SD] age, 1.5 [2.85] years). Eight required tracheostomy. Among the 23 patients, 16 had laryngeal paralysis (11 bilateral, 5 unilateral), 4 had laryngeal dyskinesia, and 3 had miscellaneous conditions. Fourteen had secondary large airway lesions, and 14 had a nonairway diagnosis that affected respiration. The overall LEMG results correlated negatively with requirement for tracheostomy (r = -0.4; P < .05) and were 86.36% accurate compared with endoscopy. No predictors for tracheostomy were identified. CONCLUSIONS: The LEMG grading was accurate and correlated with the requirement for tracheostomy. Combined with endoscopy, the grading may help better characterize laryngeal mobility disorders.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".