Intravenous Regional Anesthesia Administered by the Operating Plastic Surgeon: Is It Safe and Efficient? Experience of a Medical Center
Bibliographic record
Abstract
BACKGROUND: Intravenous regional anesthesia (Bier's block) is an effective method of providing anesthesia for extremity surgery. This technique is most suitable for short-duration, less than 60-minute surgical procedures in distal extremities. Earlier studies recommended that intravenous regional anesthesia be performed by anesthesiologists who are familiar with the technique and fully trained to treat its complications. This study was conducted to demonstrate that intravenous regional anesthesia administered by the operating plastic surgeon is safe, efficient, and simple to perform. METHODS: A 5-year retrospective chart review (January of 2000 to December of 2004) was undertaken. The study included patients who underwent surgical procedures and were administered intravenous regional anesthesia by the surgeon. RESULTS: Four hundred forty-eight patients were included in the study, and 479 operations of 483 scheduled were completed under intravenous regional anesthesia performed by the operating surgeon. Intravenous regional anesthesia was efficient in 478 of 479 of the cases (99.8 percent). Tourniquet-related technical problems were noted in five of 483 cases (1 percent), resulting in cancellation of four operations, with no reported consequent anesthetic toxicity. Minor complications were reported in six of 479 of the cases (1.2. percent). No major complications occurred. CONCLUSIONS: Despite earlier worries about the safety of intravenous regional anesthesia if not administered by anesthesiologists, the authors found that intravenous regional anesthesia represents a safe and efficient technique of anesthesia for extremity surgery when performed carefully and appropriately by the operating surgeon. The authors suggest that plastic surgeons familiarize themselves with this technique, which is simple to perform. This could probably result in lower overall costs and greater autonomy for the surgeon.
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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 | 0.002 | 0.014 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 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".