Tumescent Local Anesthesia for the Surgical Treatment of Burns and Postburn Sequelae in Pediatric Patients
Bibliographic record
Abstract
BACKGROUND: Tumescent local anesthesia is a technique for regional anesthesia of the skin and the subcutaneous tissue, using infiltration of large volumes of local anesthetic. The advantages of this technique are (1) simplicity, (2) prolonged postoperative analgesia, (3) low incidence of bleeding, and (4) anesthetization of a large area of the body. There are no reports on the use of tumescent local anesthesia in pediatric patients. METHODS: In 30 consecutive pediatric burn patients with American Society of Anesthesiologists physical status class I or II who were 1-120 months old (34 +/- 31.6 months), after induction of anesthesia with nitrous oxide-oxygen-sevoflurane, infiltration with 0.05% (14 ml/kg) or 0.1% (7 ml/kg) lidocaine solution was performed. Anesthesia was maintained with patients spontaneously breathing with 1.5% sevoflurane in nitrous oxide-oxygen (50%). The maximum dose of lidocaine used was 7 mg/kg. Postoperative pain was assessed by using the Children's Hospital of Eastern Ontario Pain Scale (for patients aged up to 5 yr) and by using a visual analog scale (for patients older than 5 yr). A comparison with a historic control group not treated with the tumescent local anesthesia technique was performed. RESULTS: No patients were excluded from the study, and no significant variations in the monitored intraoperative parameters were observed. Five patients had an increase in heart rate and respiratory rate at the beginning of surgery, and of these, two needed a temporary increase in sevoflurane concentration. After the initial incision, no response to painful stimulus was observed. No complications occurred. Six patients required postoperative acetaminophen administration, and 24 patients did not require analgesic treatment. CONCLUSIONS: Tumescent local anesthesia with maximum dose of 7 mg/kg lidocaine seems to be safe and the sole possible effective locoregional anesthesia technique for the surgical treatment of noncontiguous pediatric burns.
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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) | 0.002 | 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".