Ultrasound-Guided Axillary Access Using a Micropuncture Needle Versus Conventional Cephalic Venous Access for Implantation of Cardiac Devices: A Single-Center Randomized Trial
Bibliographic record
Abstract
(1) Background: Ultrasound-guided axillary (USAX) vein puncture is a relatively new method to obtain venous access for the implantation of cardiac implantable electronic devices (CIED). However, its use is limited as most of the operators are not familiar with this technique. Our aim was to investigate the safety and efficacy of the USAX compared with the traditional cephalic vein dissection for venous access in CIED implantation. (2) Methods: This was a single-center, randomized, controlled, superiority trial. A total of 114 patients were randomized (1:1 ratio) to either USAX (u/s axillary group; 59 patients) or cephalic vein access (cephalic group; 55 patients). The primary study endpoint was defined as successful placement of all leads via the chosen access. Secondary study endpoints included time from local anesthetic injection to lead advancement in the SVC, total procedure time (skin to skin), procedure-related complications and pain perception. (3) Results: USAX was superior to cephalic access in terms of primary endpoint (OR: 4.3, 95% CI: 1.3, 14.0; p = 0.012). Total procedure duration was higher in the cephalic group (55.15 ± 16.62 vs. 48.35 ± 12.81 min, p = 0.017) but there was neither a significant difference in fluoroscopy time (p = 0.872) nor in total radiation dose (p = 0.815). The level of pain was higher in the cephalic group (p = 0.016), while the rates of complications were similar in both groups (p > 0.05). (4) Conclusion: USAX was superior to cephalic access regarding success rate, total procedure duration and level of pain, while having no difference in complication rates.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".