A randomized study of surgical site infiltration with bupivacaine or ketamine for pain relief in children following cleft palate repair
Bibliographic record
Abstract
BACKGROUND: Wound infiltration with ketamine reduces postoperative pain after tonsillectomy by NMDA receptor blockade and local anesthetic effect. OBJECTIVES: To evaluate the postoperative analgesia after surgical site infiltration with bupivacaine or ketamine in children undergoing cleft palate surgery. MATERIALS AND METHODS: After institutional ethics committee approval and parental consent, 50 ASA-1 children of age 1-6 years undergoing palatoplasty were included in this prospective randomized double-blind study. A standardized technique of general anesthesia was used. The surgical site was infiltrated with either 2 mg·kg(-1) of bupivacaine (Group B) or 0.5 mg·kg(-1) of ketamine (Group K). Pain (Children Hospital Eastern Ontario Pain Score), sedation, dysphagia, nausea, vomiting, and sleep pattern were assessed postoperatively up to 24 h. RESULTS: CHEOPS scores were similar in both the groups up to 12 h but were lower with ketamine compared with bupivacaine at 24 h postoperatively (P = 0.01). Fewer children required rescue analgesics in Group K (28%) than in Group B (64%; P < 0.01). The time to first rescue analgesic and the amount of analgesics used in 24 h were similar in the two groups. Fewer children suffered from dysphagia in Group K (52%) than in Group B (88%; P < 0.01). More children in Group B had disturbed sleep than in Group K at 6 (88% vs 56%; P = 0.012) and 12 h (60% vs 24%; P = 0.01) postoperatively. None of the children had deep sedation, desaturation or respiratory depression. CONCLUSION: Surgical site infiltration with either bupivacaine or ketamine provides adequate analgesia and is devoid of major side effects. Ketamine is superior to bupivacaine in terms of requirement of rescue analgesic, peaceful sleep pattern and early resumption of feeding.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".