The effect of ketamine versus fentanyl on the incidence of emergence agitation after sevoflurane anesthesia in pediatric patients undergoing tonsillectomy with or without adenoidectomy
Bibliographic record
Abstract
BACKGROUND: Emergence agitation (EA) has been documented as a common side-effect of sevoflurane anesthesia. This prospective, randomized, double-blind, placebo-controlled study was designed to compare the effects of ketamine versus fentanyl, administered 10 min before the end of surgery on the development of EA. METHODS: A total of 120 children aged 3-7 years of American Society of Anesthesiologists I-II physical status were randomly assigned to one of three equal groups receiving either ketamine 0.5 mg/kg (Group K), fentanyl 1 μg/kg (Group F) or saline (Group C) at 10 min before the end of surgery. Post-operative EA was assessed with Aono's four point scale. Recovery times, the post-operative pain and adverse reactions were assessed. RESULTS: There was no significant difference between the three groups regarding recovery and discharge times from post-anesthesia care unit. The incidence of EA was significantly low in Group K and Group F (15% and 17.5%, respectively) compared to the control group (42.5%), with no significant difference between Group K and Group F. There were no significant differences in Children's Hospital of Eastern Ontario Pain Scale between the three groups. The incidence of nausea or vomiting was significantly more in Group F compared to that in other two groups. However, no complications such as somnolence, oxygen desaturation or respiratory depression occurred during the study period and there were no episodes of hallucinations or bad dreams in the ketamine group. CONCLUSION: The intravenous administration of either ketamine 0.5 mg/kg or fentanyl 1 μg/kg before the end of surgery in sevoflurane-anesthetized children undergoing tonsillectomy with or without adenoidectomy reduces the incidence of post-operative agitation without delaying emergence.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".