Intramuscular Pressure Before and After Botulinum Toxin in Chronic Exertional Compartment Syndrome of the Leg
Bibliographic record
Abstract
BACKGROUND: Botulinum toxin A (BoNT-A) is used in the treatment of muscle hypertrophy but has never been used in chronic exertional compartment syndrome (CECS). The objective diagnostic criterion in this condition is an abnormally elevated intramuscular pressure (IMP) in the compartment. In this study, the IMP was measured 1 minute (P1) and 5 minutes (P5) after the exercise was stopped before and after BoNT-A injection. HYPOTHESIS: Botulinum toxin A reduces the IMP (P1 and P5) and eliminates the pain associated with CECS. STUDY DESIGN: Case series; Level of evidence, 4. METHODS: Botulinum toxin A was injected into the muscles of moderately trained patients with an anterior or anterolateral exertional compartment syndrome of the leg. The BoNT-A dose (mean ± SD) ranged from 76 ± 7 to 108 ± 10 U per muscle, depending on which of the 5 muscles in the 2 compartments were injected. The primary end point was IMP (P1, P5). Secondary end points were exertional pain, muscle strength, and safety. Follow-up was conducted up to 9 months. RESULTS: A total of 25 anterior compartments and 17 lateral compartments were injected in 16 patients. The time interval (mean ± SD) between the BoNT-A injection and after BoNT-A injection IMP measurement was 4.4 ± 1.6 months (range, 3-9 months). In the anterior compartment, P1 and P5 fell by 63% ± 17% (P < .00001) and 59% ± 24% (P < .0001), respectively; in the lateral compartment, P1 and P5 fell by 68% ± 21% (P < .001) and 63% ± 21% (P < .01), respectively. Exertional pain and muscle strength were monitored, based on the Medical Research Council score. The exertional pain was completely eliminated in 15 patients (94%). In 5 patients (31%), the strength of the injected muscles remained normal. In 11 patients (69%), strength decreased from 4.5 (out of 5) to 3.5 (P < .01), although without functional consequences. In the conditions of this study, BoNT-A showed a good safety profile in patients with CECS. CONCLUSION: In this case series, BoNT-A reduced the IMP and eliminated exertional pain in anterior or anterolateral CECS of the leg for up to 9 months after the intervention. The mode of action of BoNT-A is still unclear. A randomized controlled study should be carried out to determine whether BoNT-A can be used as a medical alternative to surgical treatment.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".