Impact of Anticoagulant Class on Long-Term Bioprosthesis Durability Following Transcatheter Aortic Valve Replacement
Bibliographic record
Abstract
Background: Vitamin K antagonists (VKAs) and direct oral anticoagulants (DOACs) have distinct biological properties that may differentially influence bioprosthetic valve durability following transcatheter aortic valve replacement. The aim of this study was to explore the effect of oral anticoagulation (OAC) class on bioprosthetic valve durability. Methods: We analyzed the data of a prospective registry including 688 consecutive patients under OAC undergoing transcatheter aortic valve replacement between May 2007 and January 2024 who were alive at 1 year. The effect of OAC class was assessed using a propensity score-matched population (132 patients with VKA vs. 132 patients with DOAC). The primary endpoint was the occurrence of stage 2 or 3 hemodynamic valve deterioration according to Valve Academic Research Consortium-3 criteria. Results: = 0.981). Long-term echocardiographic follow-up showed similar evolution of hemodynamic parameters over time. Conclusions: No significant differences were observed between VKAs and DOACs on valve durability outcomes. Further studies with longer follow-up, larger population, and randomized designs are warranted to confirm these findings.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".