Clinical Outcomes of World’s Thinnest (50 μmr) Strut Biodegradable Polymer Coated Everolimus-Eluting Coronary Stent System in Real-World Patients
Bibliographic record
Abstract
BACKGROUND: The thinnest strut platform is revolutionary improvement into the field of percutaneous coronary intervention. The aim of this study was to assess the safety and performance of world's thinnest (50 µm) strut biodegradable polymer coated Evermine 50™ everolimus-eluting coronary stent system (EES) in real-world patients with coronary artery disease. METHODS: coronary artery lesion (lengths < 44 mm) and/or in-stent restenosis were enrolled and implanted with at least one Evermine 50 EES. The safety endpoint was major adverse cardiac events (MACE), composite of cardiac death, myocardial infarction (MI) attributed to the target vessel and clinically-driven target lesion revascularization (CD-TLR), at 6-month follow-up. RESULTS: Out of 251 patients enrolled (mean age: 58.20 ± 9.92 years and 193 males), 48.6% and 45.4% patients were diabetic and hypertensive, respectively. A total of 343 lesions were intervened successfully with Evermine 50 out of 474 identified lesions (1.89 lesions per patients). Average stent length and diameter were 23.50 ± 12.21 mm and 2.83 ± 0.23 mm, respectively. At 6-month follow-up, the incidence of MACE was two (0.8%) in the form of one (0.4%) cardiac death and one (0.4%) CD-TLR. In addition, there was no definite or probable stent thrombosis reported up to 6-month follow-up. CONCLUSIONS: In the present study, lower rate of MACE was demonstrated, which reaffirms favourable clinical safety and performance of world's thinnest (50 µm) strut Evermine 50 EES in real-world patients with coronary artery disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".