Challenges and Future Directions in Redo Aortic Valve Reintervention After Transcatheter Aortic Valve Replacement Failure
Bibliographic record
Abstract
Transcatheter aortic valve replacement (TAVR) is increasingly being performed in younger and lower surgical risk patients. Reintervention for failed transcatheter heart valves will likely increase in the future as younger patients are expected to outlive the initial bioprosthesis. While redo-TAVR has emerged as an attractive and less invasive alternative to surgical explantation (TAVR-explant) to treat transcatheter heart valve failure, it may not be feasible in all patients due to the risk of coronary obstruction and impaired coronary access. Conversely, TAVR-explant can be offered to most patients who are surgical candidates, but the reported outcomes have shown high mortality and morbidity. This review provides the latest evidence, current challenges, and future directions on redo-TAVR and TAVR-explant for transcatheter heart valve failure, to guide aortic valve reintervention and facilitate patients' lifetime management of aortic stenosis.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.061 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".