Safe and Effective Analgesia Using Ultrasound-Guided Brachial Plexus Block for Upper Limb Compartment Syndrome: A Case Report
Bibliographic record
Abstract
Upper limb compartment syndrome (ULCS) is a life-threatening and uncommon medical disorder that develops when the pressure within one or more muscle compartments of the upper limb increases. Consequently, it limits blood flow and leads to ischemia of the muscles and nerves. The objective of this case report was to analyze the safe and effective utilization of ultrasound-guided posterior interscalene brachial plexus block (USG-ISB) to document sufficient analgesia, maintenance of respiratory function, and hemodynamic stability in the treatment of ULCS. In this case report, the patient presented with severe right upper limb pain and signs of ischemia due to trauma. The primary treatment, surgical fasciotomy, was performed in an emergency setting to alleviate compartment pressure. An USG-ISB was applied as an adjunct to anesthetic management to provide safe and adequate analgesia and to stabilize the patient hemodynamically. It also reduced the need for systemic opioid use. This regional anesthesia technique was not associated with any perioperative complications, and no further morbidity was observed during the 23-day hospital stay. Following adequate regional anesthesia administration, the patient reported only mild disability (QuickDASH score of 5) at the 3-month follow-up. This case emphasizes the importance of USG-ISB as an effective and safe technique for achieving adequate analgesia and hemodynamic stabilization without delaying the diagnosis of compartment syndrome, owing to appropriate monitoring (ultrasound, serial neurovascular checks) during hospitalization and the involvement of a multidisciplinary team.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.007 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".