Abstract 12889: Drug-Eluting Stents in the Treatment of Saphenous Vein Graft Disease: Disappointing Outcome During Long-term Follow-up
Bibliographic record
Abstract
Introduction: Drug-eluting stents (DES) have been shown to have superior short term outcomes in the treatment of saphenous vein graft (SVG) disease compared to bare metal stents. Hypothesis: The goal of this study was to assess the long term clinical outcome of all patients with SVG disease treated with DES. Methods: 183 consecutive patients undergoing SVG intervention with DES were evaluated. Post-procedure, antiplatelet therapy included aspirin indefinitely and dual antiplatelet therapy for a minimum of 1 year. Major adverse cardiac events (MACE) were assessed at a mean follow-up of 5 years. MACE was defined as any of the following: death, stroke, myocardial infarction, repeat bypass surgery, repeat target vessel revascularization, or stent thrombosis. Results: The study population consisted of 149 men and 34 women with a mean age of 69 ± 10 years. Diabetes was present in 83 (45%) and acute coronary syndromes were present in 116 (63%). Mean SVG age was 12 ± 6 years. Diffuse disease (≥ 30 mm of treated disease and/or 3 or more lesions in a single vessel) was present in 37%. A total of 243 lesions were treated with 395 DES. Procedural techniques during DES deployment included direct stenting in 50%, pretreatment with intracoronary nicardipine in 49%, and use of a distal protection device in 38%. Kaplan Meier analysis of long-term MACE free survival is shown in the Figure. Although only 18% of patients had a MACE at one year, continued events were common after the first year. At 49 months, 50% of the patients had one or more MACE. Event free survival which was 82% at 1 year was only 41% at 5 years. MACE free survival after first and second generation DES were similar. Conclusions: The long-term outcome after percutaneous intervention of aortocoronary bypass vein grafts continues to present a clinical challenge. Within 5 years after DES placement for SVG disease, fewer than half of the patients remain event free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".