Quality of Life and Voice Outcomes after Thyroid Ala Graft Laryngotracheal Reconstruction in Young Children
Bibliographic record
Abstract
OBJECTIVES: (1) To assess the long-term impact of thyroid ala cartilage laryngotracheal reconstruction (TAC-LTR) on health-related quality of life (QOL) in infants using 4 validated instruments: Health Utility Index version 3 (HUI3), Pediatric Voice-Related QOL (PVRQOL), Impact on Family Questionnaire, and a visual analog scale and (2) to perform acoustic and perceptual voice assessments to evaluate longterm voice quality outcomes. STUDY DESIGN: Prospective study. SETTING: Tertiary academic pediatric hospital. SUBJECTS: Eligible children who received TAC-LTR before the age of 24 months between 1995 and 2007. METHODS: Interviews with parents and children using 4 validated instruments, voice analyses, and endoscopic evaluation were performed. RESULTS: Twelve patients (7 male, 5 female, median age 10 years) were enrolled over a 6-month period. The mean age at LTR was 5 months (range, 1-20 months), and the mean study followup period was 9 years (range, 2-14 years). The average speech HUI3, PVRQOL, and Impact on Family scores were 0.83 (95% confidence interval = 0.74, 0.92), 0.93 (interquartile range [IQR] = 0.81, 1.00), and 0.65 (IQR = 0.54, 0.92), respectively. All acoustic scores were either normal or mildly abnormal for the variables jitter, shimmer, noise-to-harmonic ratio, peak amplitude variation, and fundamental frequency. The Consensus Auditory-Perceptual Evaluation of Voice overall severity score was in the normal to mildly abnormal range for 8 of 9 patients. CONCLUSION: This is the first study to explore and quantify longterm QOL and voice quality in children following LTR with thyroid ala graft at a very young age. Most patients had very good functional voice outcome as evidenced by the HUI3 and PVRQOL scores. This was corroborated by acoustic and perceptual voice assessments.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".