0908 The Impact Of Adenotonsillectomy On Obstructive Sleep Apnea In Children With Trisomy 21: A Retrospective Cohort Study
Bibliographic record
Abstract
Abstract Introduction Obstructive sleep apnea (OSA) has a prevalence of 1 - 5.7% in the general pediatric population. In children with Trisomy 21 (T21), OSA is estimated to be much higher, at 30-60%. The medical consequences of untreated OSA may be significant, therefore it is worthwhile to explore treatment options. Adenotonsillectomy (AT) is often the first line treatment in children, including those with T21. However, success rates of AT in patients with T21 is more variable, and postoperative complications can be higher. The aim of this study was to determine the impact of AT on the apnea hypopnea index (AHI) in patients with Trisomy 21. Methods A retrospective cohort study was conducted by reviewing children with T21 and the following criteria: 1) 0 to 18 years of age, 2) AT completed between January 2010 to December 2015, 3) pre- and post-operative polysomnogram (PSG). Data extraction included demographics, details of PSG both prior to and after surgery including severity of sleep apnea and oxygen levels, type of surgery, and surgical complications. Results Our sample consisted of 64 subjects. Mean pre-operative AHI was 32.2, while mean post-operative AHI was 8.0, for a difference of 21.7 (p = 0.0001). Mean pre-operative oxygen saturation was 92.5, while mean post-operative oxygen saturation was 93.7, for a difference of 1.2 (p = 0.01). There were 10 post-operative emergency room visits (15.3%), 2 admissions to hospital (3.1%) and 2 repeat surgeries for post-operative bleeding (3.1%). Conclusion Preliminary findings of this study show a statistically significant improvement in OSA severity as determined by change in AHI and mean oxygen saturations post AT in children with T21. Complication rates were low. Further data collection and analysis is underway. Support None.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".