Conscious Sedation for Pediatric Peritonsillar Abscess: Comparison of Anesthetic Approaches
Bibliographic record
Abstract
OBJECTIVE: To compare the efficacy, safety, and cost of incision and drainage (I&D) for pediatric patients with peritonsillar abscesses (PTAs) under conscious sedation (CS) versus unsedated (awake) and general anesthesia (GA). STUDY DESIGN: Case series with chart review. SETTING: Tertiary pediatric hospital. SUBJECTS AND METHODS: Records for all pediatric patients (<18 years) treated for PTAs in the emergency department from 2005 to 2015 were reviewed and stratified into awake, CS, and GA groups for comparison. The primary outcome measure was procedure tolerance, with secondary measures including return to the emergency department within 15 days, complications, and facility costs associated with treatment. RESULTS: A total of 188 patients were identified. The median age was 14 years (interquartile range, 9-16). Awake drainage with injected local anesthetic was used in 115 children; 62 underwent CS; and 11 underwent GA. Over 92% of the children tolerated I&D regardless of anesthesia, with no difference among groups ( P = .60). None of those who underwent I&D via CS returned to the emergency department within 15 days of the procedure, as compared with 5.2% for the awake group and 9.1% for the GA group ( P = .06). None in the GA or awake group had a complication associated with the procedure, as opposed to 9.6% in the CS group ( P = .02). Complications included apnea and dental trauma (2 children each) and transient hypotension and desaturation (1 each). Cost was highest in the GA group and lowest for the awake group ( P < .0001). CONCLUSION: CS for PTA I&D is a viable treatment option with tolerance and success similar to that of the awake and GA groups. Complications were observed for those who underwent CS, but they were manageable.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".