Early outcomes of transcatheter mitral valve replacement with the Tendyne system in severe mitral annular calcification
Bibliographic record
Abstract
BACKGROUND: Treatment of mitral regurgitation (MR) associated with severe mitral annular calcification (MAC) is challenging due to the high risk of fatal atrioventricular groove disruption and significant paravalvular leak. AIMS: The aim of this study was to evaluate the outcomes of transcatheter mitral valve replacement (TMVR) with the Tendyne valve (Abbott Structural) in patients with MR and MAC. METHODS: Twenty patients (mean age 78 years; 11 women) who were treated with the Tendyne valve, either compassionate use (CU; closed) or as part of The Feasibility Study of Tendyne in MAC (NCT03539458), had reported outcomes in a median follow-up duration of 368 days. RESULTS: In all patients, a valve was implanted with no procedural mortality and successful hospital discharge. Two embolic events occurred, including one with mesenteric ischaemia and one non-disabling stroke. At 30 days and one year, all-cause mortality occurred in one (5%) and eight patients (40%), respectively. At one year, six patients had been hospitalised for heart failure (30%). There was no prosthetic dysfunction, and MR remained absent in all patients at one year. Clinical improvement, measured by New York Heart Association Functional Class, occurred in 11 of 12 patients who were alive at one year. Among seven survivors with Kansas City Cardiomyopathy Questionnaire (KCCQ) data, mean increase in KCCQ score was 29.9±26.3 at one year with improvement of ≥10 points in five (71.4%) patients. CONCLUSIONS: In patients with MR and severe MAC, TMVR with the Tendyne valve was associated with encouraging acute outcomes, midterm durability, and clinical improvement. Dedicated TMVR therapy may have a future role in these anatomically challenging, high-risk 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 | 0.000 |
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".