2-055 Drug coated balloons- are they effective in acute angioplasty? A single centre experience
Bibliographic record
Abstract
Background Since introduction in 2004, Drug Coated Balloons (DCB) have played key role in management of in-stent restenosis (ISR) and improving cardiovascular outcomes in percutaneous coronary intervention (PCI).1 Current European Society of Cardiology (ESC) guidelines recommend use of DCB for ISR (Class 1A).2 However, there is limited understanding in their role for small vessel and bifurcation disease angioplasty. Methods Procedural data of all DCB deployed between March 2022 to May 2024 at Calderdale Royal Hospital, was collected from patient’s hospital electronic health records. Baseline co-morbidities, indication for angiogram, DCB size and length, use of intra-coronary assessment and cardiovascular outcomes till date, were recorded. All procedures deployed SeQuent Please Neo DCBs. Results A total of 221 patients underwent (Male 78.7%) coronary angioplasty involving DCB. Ninety-one (41.2%) patients underwent sole DCB angioplasty, in comparison to 130 (58.8%) patients undergoing DCB in conjunction with Drug Eluting Stent (DES). Non-ST Segment Elevation Myocardial Infarction (NSTEMI) (n=103, 46.6%) was the commonest indication for patients undergoing invasive angiogram. Forty-six (20.8%) of total cohort had DCB’s deployed for in-stent restenosis (ISR) whereas majority underwent DCB strategy for angiographic small vessel disease ( n=93, 42.2%) as well as prognostic bifurcation of main vessels and their associated side branches (n=49, 22.2%). Six and 12-month follow up of cardiovascular outcomes highlighted encouraging results with respect to patients undergoing further revascularisation post DCB (n=4, 1.8%), cardiovascular hospitalisation (n=20, 9%) and cardiovascular mortality (n=0). Conclusion In this single centre retrospective analysis, use of DCB in treatment of ISR, small vessel disease and prognostic bifurcation lesions concludes encouraging results with respect to cardiovascular endpoints. Whether DCB can replace DES in proximal lesion as denovo strategy, is still to be further explored. References Belkacemi A, Agostoni P, Voskuil M, et al. Drug-eluting balloons in coronary artery disease-current and future perspectives. ICR. 2011. Neumann FJ, Sousa-Uva M, Ahlsson A, et al. ESC Scientific Document Group. 2018 ESC/EACTS guidelines on myocardial revascularization. Eur Heart J. 2019.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".