Overcoming the transcatheter aortic valve replacement Achilles heel: conduction abnormalities—a systematic review
Bibliographic record
Abstract
Background: Transcatheter aortic valve replacement (TAVR) has been shown to be a good alternative to surgery for treating severe symptomatic aortic stenosis (AS) across the whole range of surgical risk patients. Whereas most periprocedural TAVR complications have significantly decreased over time, conduction disturbances remain high. Approaches to decrease this shortcoming are under continuous investigation. Methods: We conducted a systematic review focusing on modifiable factors impacting post-TAVR conduction disturbances, such as balloon aortic valvuloplasty (BAV), type of new-generation transcatheter valve and implantation depth (ID). Search strategies were based on the best available evidence from each study. Primary endpoints were post-TAVR need of permanent pacemaker implantation (PPI) and new onset left bundle branch block (NOLBBB). Results: Data from 35 studies with a total of 29,982 patients were analyzed. BAV did not negatively impact PPI rates after TAVR. In propensity-matched and randomized trials, the Evolut R valve was associated with higher rates of PPI compared to the Sapien 3 valve (25% vs. 19.2% in propensity-matched studies; 22.9% vs. 19% in a randomized trial). The Acurate Neo valve was associated with the lowest PPI rate in observational studies (10.4%), but a PPI rate similar to Sapien 3 was reported in a randomized trial (10% vs. 9%). The Portico valve system was associated with a higher PPI risk (PPI rate of 21.9% and 27.7% in propensity-matched and randomized studies, respectively). ID and its relation with the membranous septum (MS) length predicted post-TAVR conduction disturbances, particularly with Evolut R and Sapien 3 valves. Conclusions: Pre-TAVR BAV did not increase the risk of conduction disturbances post-TAVR. Among the new-generation transcatheter valve systems, Sapien 3 and Acurate Neo valves were associated with the lowest PPI rates followed by the Evolut and Portico valves. A deeper valve implantation and a shorter MS length determined an increased risk of conduction disturbances post-TAVR.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".