Transcatheter Balloon-Expandable Valve-in-Valve to Treat Severe Paravalvular Leak Secondary to ACURATE-neo Self-expanding Prosthesis–Annulus Mismatch
Bibliographic record
Abstract
A 75-year-old male with severe symptomatic aortic stenosis underwent transcatheter aortic valve implantation with a Large (27-mm) ACURATE-neo transcatheter aortic valve, complicated by severe paravalvular leak. He developed rapid and progressive worsening heart failure. Reanalysis of the computed tomography images suggested evidence of prosthesis–annulus mismatch. Therefore, a redo transcatheter aortic valve implantation utilizing a 29-mm SAPIEN 3 transcatheter aortic valve was performed. This case illustrates the importance of proper valve sizing to avoid paravalvular leak, and how to safely cross an ACURATE-neo valve to avoid catheter entangling.
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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) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".