P4632Evaluation of safety and efficacy of sirolimus eluating coronary stent yukon choice flex in all comer coronary artery disease patients a single center experience
Bibliographic record
Abstract
Aim and objectives: To evaluate the safety and efficacy of Yukon choice flex Sirolimus-eluting Coronary Stent (SES) in all-comer CAD patients. Methods: This was a retrospective, observational, post marketing study conducted in 1000 patients with CAD who were implanted with Yukon Choice Flex - Sirolimus Eluting Stent (YCF) from January 2015 to March 2017. The primary efficacy endpoint was defined as a major adverse cardiac event (MACE) which is a composite of cardiac death, myocardial infarction (MI), and target lesion revascularization (TLR). The primary safety endpoint was stent thrombosis (ST). Clinical, telephonic follow-up was performed and MACE was analyzed at 30 days, 6 months, 12 months, 18 months and 24 months. Results: The mean patient age was 55.64±11.4 years. Out of the 1000 patients enrolled in the study, 77.3% were male, 44.5% were hypertensive, 39.7% were diabetic and 33.7% were smokers. 5.8% patients had family history. 47.2% had STEMI, 8.8% had NSTEMI, 41.8% were with Unstable Angina and 2.2% were reported with chronic stable angina. A total of 1289 lesions, 1168 lesions were treated with YCF stents out of which 11.6% were total occlusions. At 12 months median follow up, the primary efficacy endpoint MACE occurred in 21 (2.1%) of 1000 patients, consisting of 19 (1.9%) cardiac deaths, 2 (0.2%) MI and 0 (0%) TLR. The primary safety endpoint stent thrombosis (ST) was observed in 3 (0.3%) patients at 12 months median follow-up. On an average 1.17 YCF stents were implanted per patient, Quality of life for YCF patients during follow up 73.1%. Conclusions: The 12 months median clinical follow up outcomes of Yukon choice flex SES are suggestive of outstanding safety and efficacy in a real-life scenario including the presence of diabetes, MI, and long lesions.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".