Valve-in-Valve Implantation Using the ACURATE Neo in Degenerated Aortic Bioprostheses : An International Multicenter Analysis
Bibliographic record
Abstract
OBJECTIVES: This study reports an international experience using the transfemoral ACURATE neo transcatheter heart valve (Boston Scientific, Marlborough, Massachusetts) for the treatment of degenerated surgical aortic bioprostheses. BACKGROUND: Transcatheter valve-in-valve procedures have emerged as an alternative to redo surgery. Supra-annular prostheses might be particularly useful in this indication. METHODS: This is an international multicenter analysis including 85 patients from 14 centers in Europe and Canada undergoing an ACURATE neo valve-in-valve procedure from March 2015 to February 2019. RESULTS: Internal diameter of the degenerated bioprosthesis was 20.3 ± 2.1 mm. Prosthesis size S was used in 70 (82%) procedures. The median depth of implantation was 3 mm and the upper crown of the ACURATE neo was positioned above the stent posts of the degenerated bioprosthesis in 54 (64%) and inside in 31 (36%). Mean transvalvular gradient before discharge was significantly lower if the upper crown was above the degenerated bioprosthesis (13.7 ± 5.9 mm Hg vs. 19.5 ± 10.0 mm Hg; p = 0.001). However, a high position of the ACURATE neo resulted in embolization in 1 patient, conversion to open-heart surgery in 1, and need for reintervention due to transcatheter heart valve failure within the first 18 months of follow-up in 4. CONCLUSIONS: This early experience shows that a high implantation of the ACURATE neo with the upper crown above the stent posts of the degenerated bioprosthesis resulted in lower mean transvalvular gradients but a higher rate of malpositioning and early valve degeneration.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".