Repair of Coronary Artery Perforation Into the Left Ventricle Using Graftmaster Stent Graft After Complicated Percutaneous Coronary Intervention of Myocardial Bridge
Bibliographic record
Abstract
A myocardial bridge (MB) is a band of heart muscle that lies on the top of a coronary artery, instead of underneath it. This leads to tunneling of coronary artery through this segment of the myocardium which can be mechanically compressed during systole, also known as myocardial bridging. Although usually asymptomatic, it can be associated with exertional angina, acute coronary syndrome, cardiac arrhythmia or even sudden cardiac death. The utilization of percutaneous coronary intervention (PCI) of the bridged segment to ameliorate vessel compression and normalize blood flow is limited due to concerns of complications, particularly restenosis and perforation. Although conventional management of coronary perforation includes prolonged balloon dilation and reversal of anticoagulation, stent grafting of these perforations is not uncommonly utilized. We report a case of a patient with symptomatic MB who underwent a PCI of the bridging segment of the left anterior descending (LAD) coronary arterywhich was complicated with a perforation into the left ventricle. As patient became symptomatic, the perforation was emergently repaired using a Graftmaster® RX coronary stent graft system (Abbott Vascular) with complete alleviation of symptoms and successful radiographic resolution. J Med Cases. 2017;8(3):77-80 doi: https://doi.org/10.14740/jmc2750w
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".