Clinical Valve Thrombosis After Transcatheter Aortic Valve-in-Valve Implantation
Bibliographic record
Abstract
Background Limited data exist on clinical valve thrombosis after transcatheter aortic valve-in-valve (ViV) implantation. Our objective was to determine the incidence, timing, clinical characteristics, and treatment outcomes of patients diagnosed with clinical ViV thrombosis. Methods and Results Centers participating in the Valve-in-Valve International Data Registry were surveyed for thrombosis cases, and clinical valve thrombosis was defined based on a combination of the presence of new valve dysfunction and an imaging evidence of leaflet thrombosis. Three hundred ViV implantations were included. The surgical valve was stented in 86.3% and stentless in 13.7% of cases; and the transcatheter heart valve was self-expanding in 50%, balloon-expandable in 49%, and mechanically expanding in 1.0%. The incidence of clinical valve thrombosis was 7.6% (n=23), diagnosed at a median time of 101 days (interquartile range, 21-226) after the procedure. Fifteen patients (65%) presented with worsening symptoms and 21 (91%) with transvalvular mean gradient elevation. The mean gradient at the time of diagnosis (median 39 mm Hg; interquartile range, 30-44) was significantly higher than immediately post-ViV (13 mm Hg; interquartile range, 8-20.5; P<0.001) and was significantly reduced after oral anticoagulation therapy (17.5 mm Hg; interquartile range, 11-20.5; P<0.001). There were no deaths or strokes related to valve thrombosis. Factors associated with valve thrombosis were oral anticoagulation (odds ratio [95% confidence limits]: 0.067 [0.008-0.543], P=0.011), surgical valve true internal diameter indexed to body surface area (0.537 [0.331-0.873], P=0.012), and Mosaic or Hancock II stented porcine bioprostheses (4.01 [1.287-12.485], P=0.017). Conclusions Clinical valve thrombosis after transcatheter aortic ViV implantation is common, especially in patients not on oral anticoagulation. Although aortic ViV is commonly associated with elevated gradients, valve thrombosis should be ruled out if gradients increase compared with early postprocedural values. A higher incidence was observed after treatment of certain stented porcine surgical valve types, suggesting a specific adjustment of the adjunctive antithrombotic therapy in this subset of ViV patients.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".