Cusp overlap method for self‐expanding transcatheter aortic valve replacement
Bibliographic record
Abstract
BACKGROUND: Conduction disturbances and the need for permanent pacemaker (PPM) implantation remains a common complication for transcatheter aortic valve replacement (TAVR), particularly when self-expanding (SE) valves are used. AIMS: We compared in-hospital and 30-day rates of new PPM implantation between patients undergoing TAVR with SE valves using the conventional three-cusp coplanar implantation technique and the cusp-overlap technique. METHODS: We retrospectively compared patients without a pre-existing PPM who underwent a TAVR procedure with SE Evolut R or PRO valves using the cusp-overlap technique from July 2018 to September 2020 (n = 519) to patients who underwent TAVR using standard three-cusp technique from April 2016 to March 2017 (n = 128) in two high volume Canadian centers. RESULTS: There was no significant difference in baseline RBBB between the groups (10.4% vs. 13.2; p = 0.35). The rate of in-hospital new complete heart block (9.4% vs. 23.4%; p ≤ 0.001) and PPM implantation (8% vs. 21%; p ≤ 0.001) were significantly reduced when using the cusp-overlap technique. The incidence of new LBBB (30.4% vs. 29%; p = 0.73) was similar. At 30 days, the rates of new complete heart block (11% vs. 23%; p ≤ 0.001) and PPM implantation (10% vs. 21%, p ≤ 0.001) remained significantly lower in the cusp-overlap group, while the rate of new LBBB (35% vs. 30%; p = 0.73) was similar. CONCLUSION: Cusp-overlap approach offers several potential technical advantages compared to standard three-cusp view, and may result in lower PPM rates in TAVR with SE Evolut valve.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.013 |
| 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".