Long-Term Safety and Performance of BioMime™ Morph Sirolimus-Eluting Coronary Stent System for Very Long Coronary Lesions
Bibliographic record
Abstract
Background: The use of multiple overlapping stents for long lesions in tapered coronary arteries has been associated with poor outcomes. This study was conducted to evaluate the 3-year safety and performance of the BioMime TM Morph sirolimus-eluting stent (SES) in very long (length 30 to 56 mm) coronary lesions in native coronary arteries with a reference vessel diameter of 2.25 to 3.50 mm. Methods: This was a prospective, single-center, observational, real-world, post-marketing surveillance study. Eligible patients were implanted with BioMime TM Morph SES. Patients were followed up at 6, 12, 24, and 36 months. Results: A total of 88 patients were enrolled in the study. The mean age was 58.72 10.10 years and 82.95% were male. Most patients had angina (81.82%) and ischemic heart disease (78.41%), and there was a high prevalence of comorbidities like diabetes mellitus (59.09%), and hypertension (54.55%). A total of 92 long coronary de novo lesions were treated with BioMime TM Morph SES with an average stent length of 45.54 10.20 mm. Device and procedural success rates were 100%. One patient died at 30 days and one case of myocardial infarction was recorded. The cumulative rates of major adverse cardiovascular events (MACEs) at 6, 12, 24, and 36 months were 3.41%, 6.82%, 7.95%, and 7.95%, respectively. There were no cases of stent thrombosis (ST), ischemia-driven target vessel revascularization, or ischemia-driven target lesion revascularization until 36 months of follow-up. Conclusion: BioMime TM Morph SES showed favorable outcomes up to 3 years in treating very long coronary lesions in native coronary arteries, as demonstrated by an acceptable rate of MACEs and absence of ST, based on clinical outcomes up to 3 years. Cardiol Res. 2024;15(3):169-178 doi: https://doi.org/10.14740/cr1626
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".