Effect of ketamine on intravenous patient-controlled analgesia using hydromorphone and ketorolac after the Nuss surgery in pediatric patients
Bibliographic record
Abstract
BACKGROUND: Nuss surgery is preferred in pectus excavatum repair because this procedure produces excellent cosmetic results and prevents postoperative distressed pulmonary function. However, the procedure causes severe pain due to thoracic expansion. This study was designed to investigate the analgesic effect of small doses of ketamine on an intravenous patient-controlled analgesia (IV-PCA) using hydromorphone and ketorolac for pain control after Nuss surgery. METHODS: Forty-four patients undergoing elective Nuss surgery were randomly assigned to receive hydromorphone 3 µg/kg/hr, ketorolac 0.05 mg/kg/hr and ondansetron 0.1 mg/kg/day (Group HO, n = 22) or hydromorphone 3 µg/kg/hr, ketorolac 0.05 mg/kg/hr, ondansetron 0.1 mg/kg/day and ketamine 0.15 mg/kg/hr (Group HK, n = 22) via an IV-PCA pump after surgery. A blind observer evaluated each patient using the Modified Children's Hospital of Eastern Ontario Pain Scale (CHEOPS) for the assessment of pain control. The total administered PCA volume, side effects and parents satisfaction with pain control were assessed at postoperative 1, 4, 8, 12, 24, and 48 hours. RESULTS: There were no significant differences in Modified CHEOPS between the groups during postoperative 48 hours. The total PCA volume in group HK was significantly lower than that in group HO (P < 0.05). The side effects in both groups did not significantly differ except for pruritus. The levels of satisfaction from the parents were not significantly different between the groups. CONCLUSIONS: A small dose of ketamine on IV-PCA reduced the total administered dose of IV-PCA with hydromorphone and ketorolac and reduced the incidence of pruritus after the Nuss procedure in pediatric patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".