Safety and performance of a novel defibrillation lead for left bundle branch area placement: Primary results of the LEADR LBBAP clinical trial
Bibliographic record
Abstract
BACKGROUND: Right ventricular placement of the OmniaSecure defibrillation lead has demonstrated high defibrillation success and low occurrence of lead-related major complications. With the advent of left bundle branch area pacing (LBBAP) as a physiological pacing option, the use of the OmniaSecure lead may be a viable alternative for LBBAP in the implantable cardioverter-defibrillator population. OBJECTIVE: This study aimed to understand the defibrillation efficacy at implant and the safety of the OmniaSecure lead for LBBAP. METHODS: The global Lead Evaluation for Defibrillation and Reliability LBBAP trial enrolled patients indicated for de novo implantation of a primary or secondary prevention implantable cardioverter-defibrillator or cardiac resynchronization therapy with a defibrillator. Per study protocol, LBBAP includes electrocardiographic characterization of left bundle branch pacing and deep septal pacing. The primary efficacy objective was defibrillation efficacy at implant exceeding a prespecified threshold of 88% in ≥160 patients. The primary safety endpoint was to demonstrate the OmniaSecure lead-related major complication rate at 3 months after implant. RESULTS: ). A total of 293 patients were successfully implanted per protocol (95.4%). The primary efficacy objective was met with 100% of patients defibrillated to protocol. The observed freedom from OmniaSecure lead-related major complications at 3 months was 97.9% (95% confidence interval 95.8-100). There were zero study lead fractures, no oversensing adverse events, and stable electrical parameters through 2.6 ± 2.5 months' follow-up. CONCLUSION: These results demonstrate that implantation of OmniaSecure lead when intended for LBBAP results in high defibrillation success at implant, stable short-term electrical parameters, and a low rate of OmniaSecure lead-related major complications at 3 months.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".