Postoperative respiratory complications and recovery in obese children following adenotonsillectomy for sleep‐disordered breathing: A case‐control study
Bibliographic record
Abstract
OBJECTIVE: To compare postoperative respiratory complications in obese and nonobese children following surgery for sleep-disordered breathing. STUDY DESIGN: Case-control study. SETTING: Pediatric tertiary care center. SUBJECTS AND METHODS: All obese children who had undergone adenotonsillectomy for sleep-disordered breathing from 2002 to 2007 were compared with age- and gender-matched controls. Subjects were identified from a prospective surgical database. Length of hospital stay and the incidence, severity, and location of respiratory complications were compared. Multivariable analysis was performed to identify predictive factors. RESULTS: Forty-nine obese children were identified (20:29, female:male). There were no differences in mean age or type of surgical procedures (P > 0.05). Overall, 37 obese children (75.5%) and 13 controls (26.5%) incurred complications (P = 0.000, OR 8.54 [95% CI 3.44-21.19]). Ten obese patients and two controls incurred major events (P = 0.012, OR 6.03 [95% CI 1.25-29.15]); 36 obese children had minor complications versus 12 controls (P = 0.000, OR 8.54 (95% CI 3.44-21.19). Obese children had significantly more upper airway obstruction (19 vs 4, P = 0.0003, OR 7.13 [95% CI 2.20-23.03]), particularly during the immediate postoperative period. The mean hospital stay was significantly longer for the obese group (18 vs 8 hours, P = 0.000, mean difference of 10 hours [95% CI 2.01-17.99]). Male gender, tonsillectomy, and body mass index were significant predictive factors. CONCLUSION: Obesity in children significantly increases the risk of respiratory complications following surgery for sleep-disordered breathing. Overnight hospitalization for obese children is recommended.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".