Intracoronary Thrombectomy Using an Off-Label 7-F Power Aspiration System for Inferior STEMI With Large Thrombus Burden
Bibliographic record
Abstract
BACKGROUND: Significant thrombus burden can hinder successful reperfusion after primary percutaneous coronary intervention in patients with ST-segment elevation myocardial infarction. Thrombectomy devices may help reduce thrombus load, with recent advancements such as continuous vacuum aspiration now available through catheters connected to the Penumbra ENGINE. CASE SUMMARY: We present the case of a 79-year-old woman with inferior ST-segment elevation myocardial infarction and significant thrombus burden in an ectatic right coronary artery, in which the use of 7-F Lightning 7 aspiration tubing (Penumbra) achieved effective clot retrieval and enabled successful percutaneous coronary intervention. DISCUSSION: Lightning 7 aspiration tubing is not approved by the Food and Drug Administration for coronary intervention, making this, to our knowledge, the first reported case of successful coronary thrombus aspiration using a 7-F continuous aspiration catheter. Delivery to the distal right coronary artery required very supportive wires, and while the larger lumen enabled more effective thrombus removal, careful attention to blood loss is essential. TAKE-HOME MESSAGE: Lightning 7 aspiration tubing may be safe and feasible to use in appropriately sized coronary arteries; however, distal vessel access is limited.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".