High-speed rotational atherectomy during transradial percutaneous coronary intervention.
Bibliographic record
Abstract
UNLABELLED: There has been an exponential growth in the number of percutaneous coronary intervention (PCI) procedures carried out via the transradial route. Traditionally, high-speed rotational atherectomy (HSRA) has been performed through 8 and 9 Fr catheters, which has limited its use during radial PCI. AIM: To review the applicability and outcomes of HSRA as a primary debulking tool during radial PCI. METHODS: Case-note review and retrospective analysis of all patients undergoing HSRA during transradial PCI. Twenty-nine consecutive procedures in 28 patients were performed between January 2005 and April 2007. RESULTS: Eighteen (64%) of the patients were males, and the mean age was 71 +/- 9.4 years (46-89). Three procedures were urgent, and 14 proceeded to HSRA, though this was not the initial strategy. The majority of procedures, 23 (79.3%), were carried out using a 6 Fr system, and a 7 Fr system was used in the remainder of cases. There were 15 lesions in the left anterior descending artery, 11 in the right coronary artery and 3 in the left circumflex. Lesion classification was type C in 21, and type B2 in 5. HSRA was carried out successfully in all cases, with uneventful subsequent stent deployment. A 1.5 mm burr was used in 25 lesions, 1.25 mm in 4, and 1.75 mm in 2 lesions. The vessel diameter was 2.7 +/- 0.5 mm (range 2.25-4.0 mm), and the mean length of stents used was 23.5 +/- 6.7 mm (range 18-63 mm). The mean procedure time was 94 +/- 35 minutes (range 50-180). CK-MB postprocedure was available in 26 patients; no patients experienced a greater than two-fold rise in CK-MB. There were no major procedural complications. One patient had evidence of minor brachial artery dissection when the guide catheter was upsized to 7 Fr, but there were no sequelae. Another patient had evidence of pericardial effusion after the procedure that was treated successfully with pericardial drain with no consequences. There were no major adverse cardiac events. CONCLUSION: Transradial HSRA can be carried out safely with good results. In this series, the procedure was not the initial strategy in the majority of patients, but allowed successful revascularization. Use of the transradial route should not preclude consideration of HSRA in suitable patient subgroups.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".