Abstract 368: A Cardiac Arrest Simulation-Based Feasibility Cadaver Study Investigating Time for Semi Surgical Cut Down Procedure Followed by Insertion of a Novel REBOA Catheter
Bibliographic record
Abstract
Aim: Non-traumatic cardiac arrest is a major public health problem that carries an extremely high mortality rate. The Resuscitative endovascular balloon occlusion of the aorta (REBOA) procedure is currently being discussed as a possible technique to be used during Advanced Life Support (ALS) in humans with Cardiac arrest (CA). The aim of this study was to assess the training of emergency physicians in the procedures related to insertion of a novel REBOA catheter. Methods: We developed a training program using a simulated CA model on human cadavers. CPR was performed using the LUCAS device (Stryker/Jolife AB, Lund, Sweden). All cadavers were hemodynamically monitored. The Neurescue REBOA catheter (Neurescue REBOA device, Neurescue ApS, Copenhagen, Denmark) was inserted using a semi-surgical cut-down and sheath placement technique. Time needed to perform the procedures was measured. The procedures were instructed by 2 experts using video, procedural simulation on manikin and full-scale training on cadavers. Results: Six human cadavers were enrolled and a total of 12 procedures were performed by 2 expert investigators and 10 novice investigators. Eight semi-surgical cut-down producers including placements of the introducer sheath were performed on the first attempt and 4 required a second attempt. The median time required for the semi-surgical cutdown procedure and sheath placement by the novice investigators was: 6 min 48 sec (Min: 3 min 45 sec and Max: 26 min 25 sec). The median time required for the insertion and occlusion of the REBOA catheter by the novice investigators was: 3 min 22 sec (Min: 1 min 22 sec and Max: 7 min 5 sec). The median time required for full insertion for the novice investigators was: 11 min 14 sec (Min: 6 min 49 sec and Max: 28 min 15 sec). The mean aortic pressure during compression was: 31.9 mmHg (±17.0). Conclusions: Semi surgical cut-down and introducer sheath placement were performed in 1 or two 2 attempts for all novice investigators with an insertion time compatible with ALS during refractory CA. Simulation training on cadavers brings clinical realism and could be an important addition to the use of manikin or animal training models.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".