Atrial septal defect closure via mini-thoracotomy in pediatric patients: Postoperative analgesic effect of intercostal nerve block
Bibliographic record
Abstract
BACKGROUND: In this study, we evaluated the efficacy of intercostal nerve block for postoperative pain management in pediatric patients undergoing atrial septal defect closure through a right lateral mini-thoracotomy. METHODS: Between January 2016 and January 2019, a total of 63 pediatric patients (37 males, 26 females; mean age 34.8±26.8 months; range, 2 to 96 months) who underwent corrective congenital heart surgery for atrial septal defect closure through a right lateral mini-thoracotomy were retrospectively reviewed. The patients were divided into two groups as those (Group 1, n=33) receiving intercostal nerve block and general anesthesia and those (Group 2, n=30) receiving general anesthesia alone. Intravenous morphine at a dose of 0.03 mg/kg was applied as rescue analgesia to the patients with a Ramsay Sedation Scale score of >4 and Children"s Hospital of Eastern Ontario Pain Scale score of >7. The total analgesic requirement, adverse effects, duration of mechanical ventilation and length of stay in the intensive care unit were recorded. RESULTS: The mean duration of mechanical ventilation and intensive care unit stay was shorter in Group 1 compared to Group 2 (3.6±1.3 vs. 9.4±2.1 h; 23±2.6 vs. 30±7.2 h, respectively) (p<0.0001). The need for postoperative rescue analgesia was statistically significantly lower in Group 1 compared to Group 2 (0.3±0.5 mg vs. 1.1±0.9 mg, respectively) (p=0.003). The mean total morphine consumption was also lower in Group 1 compared to Group 2 (4.0±2.2 mg vs. 9.0±3.4 mg, respectively) (p<0.0001). CONCLUSION: Intercostal nerve block before thoracotomy closure in pediatric patients undergoing atrial septal defect repair under mini-thoracotomy provides early extubation, shorter mechanical ventilation duration and intensive care unit stay, and reduced analgesic requirements.
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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 | 0.001 |
| 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".