A comparison of the radial and the femoral approaches in primary or rescue percutaneous coronary intervention for acute myocardial infarction in the elderly
Bibliographic record
Abstract
BACKGROUND: Access site complications are reduced using radial percutaneous coronary intervention (PCI). There is concern that technical difficulties using this approach can delay achievement of reperfusion during primary or rescue PCI for acute myocardial infarction (AMI) especially in elderly patients. METHODS AND RESULTS: We studied 155 patients (pts) > or = 70 years who underwent primary or rescue PCI for AMI; radial (Group1; 87 pts) or femoral (Group2; 68 pts). Baseline characteristics, the amount of IIB/IIIA inhibitor, contrast and heparin used, and TIMI flow pre and post PCI were similar in both groups (P>0.05). Time from arrival in the catheterization laboratory to the first balloon inflation (Group 1: 44.0+/-21.5 versus Group 2 38.8+/-18.7 min) was also similar, but was significantly longer (61.2+/-11.1 min) compared to both groups in patients with a failed radial approach (7 pts, 8%). Angiographic success, and in-hospital MACE were also similar in the two groups, but vascular access site complications were significantly higher in Group 2 (0 versus 2.9%, P<0.05). CONCLUSION: The use of the radial approach in elderly patients undergoing primary and rescue PCI, when successful, is safe and effective as the femoral approach, and leads to fewer vascular complications.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".