Abdominal Aortic and Iliac Artery Compression Following Penetrating Trauma: A Study of Feasibility
Bibliographic record
Abstract
INTRODUCTION: Penetrating junctional trauma is a leading cause of preventable death on the battlefield. Similarly challenging in civilian settings, exsanguination from the vessels of the abdomen, pelvis, and groin can occur in moments. Therefore, iliac artery or abdominal aortic compression has been recommended. Based on prior research, 120 lbs (54 kg) or 140 lbs (63 kg) of compression may be required to occlude these vessels, respectively. Whether most rescuers can generate this amount of compression is unknown. OBJECTIVE: To determine how many people in a convenience sample of 44 health care professionals can compress 120 lbs and 140 lbs. METHODS: This study simulated aortic and iliac artery compression. Consent was obtained from 44 clinicians (27 female; 17 male) from two large urban hospitals in Edmonton, Alberta, Canada. Participants compressed the abdominal model, which consisted of a medical scale and a 250 ml bag of saline, covered by a folded hospital blanket and placed on the ground. In random order, participants compressed a force they believed maintainable for 20 minutes ("maintainable effort") and then a maximum force they could maintain for two minutes ("maximum effort"). Compression was also performed with a knee. Descriptive statistics were used to evaluate the data. RESULTS: Compression was directly proportional to the clinician's body weight. Participants compressed a mean of 55% of their body weight with two hands at a maintainable effort, and 69% at a maximum effort. At maintainable manual effort, participants compressed a mean of 86 lbs (39 kg). Sixteen percent could compress over 120 lbs, but none over 140 lbs. At maximum effort, participants compressed a mean of 108 lbs (48 kg). Thirty-four percent could compress greater than 120 lbs and 11% could compress greater than 140 lbs. Using a single knee, participants compressed a mean weight of 80% of their body weight with no difference between maintainable and maximum effort. CONCLUSION: This work suggests that bimanual compression following penetrating junctional trauma is feasible. However, it is difficult, and is not likely achievable or sustainable by a majority of rescuers. Manual compression (used to temporize until device application and operative rescue) requires a large body mass. To maintain 140 lbs of compression (for example during a lengthy transport), participants needed to weigh 255 lbs (115 kg). Alternatively, they needed to weigh 203 lbs (92 kg) to be successful during brief periods. Knee compression may be preferable, especially for lower-weight rescuers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".