Outcomes After Tonsillectomy in Children With Angelman Syndrome
Bibliographic record
Abstract
ImportanceAngelman syndrome is a rare genetic disorder characterized by developmental delay, sleep disturbances, and a happy demeanor. Tonsillectomies are common procedures for individuals with Angelman syndrome, and their postoperative recovery may be complicated by challenging pain assessments, respiratory complications, or feeding difficulties. Inappropriate laughing may mask perioperative pain and anxiety.ObjectiveThe objective of this study is to review postoperative outcomes and complications of children with Angelman syndrome undergoing tonsillectomy.Methods (Design, Setting, Participants, Intervention, Measures)We conducted a retrospective review of patients with Angelman syndrome undergoing tonsillectomies from 2000 to 2024 in a quaternary pediatric hospital. Demographic, clinical, and surgical outcome variables were collected.ResultsTwelve children with Angelman syndrome underwent tonsillectomy: 7 for sleep-disordered breathing, 4 for sialorrhea, and 1 for recurrent tonsillitis. Median (IQR) duration of stay was 4.0 (3.0-5.3) days. The most common reason for prolonged hospital stay was inadequate oral intake. Nine (75.0%) children experienced postoperative complications, most frequently pooling of secretions and oxygen desaturations. Three children (25.0%) experienced severe postoperative complications, including 1 opioid overdose, 1 respiratory distress, and 1 aspiration pneumonia. Two patients were readmitted to the hospital: 1 for irregular breathing and poor pain control, and 1 for epistaxis.ConclusionThe postoperative course following tonsillectomy in children with Angelman syndrome can be complicated by a prolonged recovery, inadequate pain control, opioid toxicity, respiratory complications, and poor oral intake. Caregiver input on pain behavior is critical to develop an effective postoperative management strategy.RelevanceBased on our results and a literature review, we have created recommendations for post-tonsillectomy care in children with Angelman syndrome.
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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 | 0.003 |
| 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 | 0.000 | 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".