Use of Serratus Plane Block for Repair of Coarctation of Aorta
Bibliographic record
Abstract
OBJECTIVES: The practice of regional anesthesia techniques (thoracic, epidural, paravertebral) in pediatric cardiac surgery enhances perioperative outcomes such as improved perioperative analgesia, decreased stress response, early extubation, and shortened hospital stay. However, these blocks can be technically challenging and can be associated with unacceptable failure rate and complications in infants. For these reasons, regional anesthesia is sometimes avoided in pediatric cardiac surgery. We describe the simple and effective serratus plane block for thoracotomy analgesia in 2 neonates and a child. CASE REPORT: We present 3 pediatric patients, each of whom was having coarctation repair and received an ultrasound-guided serratus plane block for thoracotomy analgesia. The patients were 3 days, 14 days, and 4 years old, weighing from 1.9 to 16 kg. The serratus plane block was performed prior to surgical incision. The block was technically simple compared with thoracic epidural or paravertebral block. All patients were extubated immediately after completion of surgery. Apart from the induction dose of fentanyl (2 μg/kg), no further opioids were required intraoperatively. Postoperative opioid requirements as well as duration of intensive care and hospital stay were lower than recent averages (for the same demographic and procedure) in our hospital. CONCLUSIONS: We propose that the serratus plane block is a simple procedure that provides good perioperative analgesia for infant thoracotomy, potentially facilitating early extubation and a shorter hospital stay.
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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".