Endovascular stenting for treatment of a left internal mammary artery pseudoaneurysm following redo‐sternotomy: A case report
Bibliographic record
Abstract
An 85-year-old gentlemen with a history of previous triple vessel coronary bypass grafting presented with severe aortic stenosis and occlusion of the previous saphenous vein grafts but with patent left internal mammary artery (LIMA)-left anterior descending. The patient underwent uncomplicated repeat sternotomy and aortic valve replacement with repeated coronary bypass. On post-operative day 21 the patient was successfully resuscitated from a pulseless electrical activity (PEA) arrest, and was found to have a 1-cm pseudoaneurysm of the left internal mammary artery at the level of sternomanubrial junction with associated hemothorax. The LIMA remained patent and a pinhole source of extravasation was discovered by angiography at the aneurysmal site. The defect was successfully repaired by endovascular implant of a 3.5 mm × 12 mm Graft Master covered stent (Abbott Vascular). The patient recovered well from the procedure without further complications and was discharged after a total of 48 days of hospital stay. Our experience confirms the feasibility of repairing post-operative pseudoaneurysm in the internal mammary artery by endovascular stent grafting, thereby avoiding the risks and complications of a repeat open chest procedure.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.008 | 0.003 |
| 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".