The Effect of Administration of Ketamine and Paracetamol Versus Paracetamol Singly on Postoperative Pain, Nausea and Vomiting After Pediatric Adenotonsillectomy
Bibliographic record
Abstract
BACKGROUND: Tonsillectomy is one of the most common surgeries in children and posttonsillectomy pain and agitation management is a great challenge for anesthesiologists. OBJECTIVES: The aim of this study was to compare the efficacy of a single dose of ketamine combined with paracetamol with paracetamol alone in the management of postoperative pain in tonsillectomy. MATERIALS AND METHODS: In this study, the subjects were randomly allocated into the two groups: the ketamine and control. Intravenous paracetamol infusion (15 mg/kg) was started 15 minutes before the end of surgery in both groups, continued with the IV injection of ketamine (0.25 mg/kg) in the ketamine group and an equal volume of saline in the control group. Using the children's hospital of eastern Ontario (CHEOPS) pain scale, pain and agitation score and also the incidence of nausea and vomiting after the surgery were recorded in 0.5, 6 and 12 hours after the operation. Data were analyzed using SPSS software version 16 and P value less than 0.05 was considered as statistically significant in all cases. RESULTS: There was no significant difference between the two groups considering demographic data (age, sex distribution, weight and height). The CHEOPS pain scales were significantly lower in the ketamine group compared to the control group at 0.5 and 6 hours after the surgery (P = 0.003 and P = 0.023, respectively). There was no significant difference in the CHEOPS scale at 12 hours after the surgery, dose of adjuvant analgesic and the incidence of nausea and vomiting after the surgery between the two groups. CONCLUSIONS: According to the results of the current study, postoperative analgesia in children was improved in the ketamine group. Therefore, for better management of posttonsillectomy pain, low-dose ketamine administration with paracetamol is recommended.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 teacher head, 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".