Ultrasound-Guided Regional Anesthesia of the Femoral Nerve in the Pediatric Emergency Department
Bibliographic record
Abstract
OBJECTIVES: Femur fractures are painful, and use of systemic opioids and other sedatives can be dangerous in pediatric patients. The fascia iliaca compartment nerve block and femoral nerve block are regional anesthesia techniques to provide analgesia by anesthetizing the femoral nerve. They are widely used in adult patients and are associated with good effect and reduced opioid use. Ultrasound (US) guidance of nerve blocks can increase their safety and efficacy. We sought to report on the use and safety of US-guided regional anesthesia of the femoral nerve performed by emergency physicians for femur fractures in 6 pediatric emergency departments. METHODS: Records were queried at 6 pediatric EDs across North America to identify patients with femur fractures managed with US-guided regional anesthesia of the femoral nerve between January 1, 2016, and May 1, 2021. Data were abstracted regarding demographics, injury pattern, nerve block technique, and analgesic use before and after nerve block. RESULTS: Eighty-five cases were identified. Median age was 5 years (interquartile range, 2-9 years). Most patients were male and had sustained blunt trauma (59% low-mechanism falls). Ninety-four percent of injuries were managed operatively. Most patients (79%) received intravenous opioid analgesia before their nerve block. Ropivacaine was the most common local anesthetic used (69% of blocks). No procedural complications or adverse effects were identified. CONCLUSIONS: Ultrasound-guided regional anesthesia of the femoral nerve is widely performed and can be performed safely on pediatric patients by emergency physicians and trainees in the pediatric emergency department.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".