The effect of ketamine on the incidence of emergence agitation in children undergoing tonsillectomy and adenoidectomy under sevoflurane general anesthesia
Bibliographic record
Abstract
BACKGROUND: The rapid emergence and recovery from general anesthesia afforded by sevoflurane is associated with a high incidence of emergence agitation in children. Small doses of ketamine reduce the incidence of emergence agitation. This study compared the effects of ketamine 0.25 mg/kg and 0.5 mg/kg on emergence agitation and postoperative pain. METHODS: The effects of added intravenous ketamine were evaluated in 93 children, ASA I-II, 2-14 years old, undergoing an adenotonsillectomy. The patients were allocated randomly to one of three groups receiving saline (group C), ketamine 0.25 mg/kg (group K0.25) or ketamine 0.5 mg/kg (group K0.5). The children in each group were administered the study drugs 10 minutes before the end of surgery. The recovery characteristics, including the time to extubation, delivery time from the PACU, postoperative nausea and vomiting, agitation and pain were assessed. RESULTS: There were no significant differences in the extubation time, delivery time and postoperative nausea and vomiting between the three groups. There were significant differences in modified CHEOPS (Children's Hospital of Eastern Ontario Pain Scale) between the three groups. The incidence of emergence agitation was low in the K0.25 and K0.5 groups compared to the control group. However, there was no significant difference between the K0.25 and K0.5 groups. CONCLUSIONS: There was no significant difference in the incidence of emergence agitation between K0.25 and K0.5 groups. However, K0.5 group showed a lower pain score than K0.25 group.
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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 | 0.000 |
| 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 | 0.000 |
| 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".