Results of Pediatric Bone-Anchored Hearing Aid Implantation
Bibliographic record
Abstract
INTRODUCTION: The bone-anchored hearing aid (BAHA) system uses an osseointegrated titanium implant to propagate sound directly to the inner ear through the bones of the skull, bypassing the impedance of the skin and subcutaneous tissues. Children as young as 18 months have had hearing rehabilitated with this device. OBJECTIVES: The goals were to evaluate the efficacy of patient selection criteria, the safety and effectiveness of the implantation procedure, and the level of patient satisfaction after BAHA implantation in children. METHODS: The records of all pediatric patients implanted in Edmonton were retrospectively reviewed. Twenty patients, who received 25 implants, with postimplantation follow-up of 6 months or greater, were included. The average follow-up was 3 years, 7 months. RESULTS: Of 20 original implants, 3 were lost owing to trauma, whereas 2 failed to osseointegrate. All were successfully reimplanted. Complications related to the implants included three instances of skin necrosis around the abutment. All patients and caregivers reported greater than 95% improvement in patient-identified listening situations. Pure-tone averages improved from a mean of 49 dB for the better hearing ear preoperatively to 16 dB with the BAHA set at normal listening levels. CONCLUSIONS: The BAHA provides a safe and effective means of rehabilitation of conductive or mixed hearing loss in the pediatric population. Our patients report a high level of satisfaction and continued use of their devices.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".