Three‐ and 6‐month optical coherence tomographic surveillance following percutaneous coronary intervention with the Angiolite® drug‐eluting stent: The ANCHOR study
Bibliographic record
Abstract
BACKGROUND: Pre-clinical results of a novel open-cell, thin strut, durable polymer, laser cut cobalt chromium sirolimus-eluting stent (Angiolite) were promising. Using quantitative optical coherence tomographic (OCT) analyses, we explored the healing characteristics of the Angiolite DES system at 3- and 6-months post implantation. METHODS: A total of 103 patients with de novo coronary lesions underwent percutaneous coronary intervention with the Angiolite DES and were randomized 1:3 into two cohorts for angiographic and OCT follow-up, with 28 and 70 patients returning for 3- or 6-month post-PCI surveillance, respectively. The primary endpoints were the 6-month rates of OCT-derived neointimal proliferation, strut coverage and incomplete strut apposition (ISA), whilst the secondary endpoints were 3-month OCT-derived measures of strut coverage and ISA, as well as 6-month quantitative coronary angiographic-derived measures [late lumen loss (LLL), binary restenosis]. RESULTS: The Angiolite stent was successfully implanted in all patients, without periprocedural complications. At 3- and 6-months follow-up, OCT strut coverage was evident in 86.3% and 83.3% of struts, mean neointimal thickness was 73.7 ± 46.5 μm and 73.9 ± 54.3 μm, mean neo-intimal area obstruction of 5.8% ±10.3% and 4.4% ± 11.3%, and ISA rates were 1.3% ± 7.3% and 1.1% ± 6.2%, respectively. In-stent LLL at 6 months was 0.07 ± 0.37 mm, with a binary in-stent angiographic restenosis rate of 0% without any stent thrombosis, myocardial infarction or cardiovascular death, with 1 patient undergoing ischemia-driven target-lesion revascularization. CONCLUSIONS: At 6 months, the Angiolite DES was safe with high rates of strut coverage, modest degrees of neointimal hyperplasia and very low rates of strut malapposition. These data coupled with the absence of in-stent binary restenosis and a very low 6-month in-stent LLL point towards an efficacious DES. Future studies are required to evaluate its efficacy in broader lesion subsets with longer follow-up.
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 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) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".