Percutaneous mitral valve annuloplasty for ischemic mitral regurgitation: First in man experience with a temporary implant
Bibliographic record
Abstract
OBJECTIVE: This study evaluated human feasibility and acute efficacy of a novel percutaneous transvenous mitral annuloplasty (PTMA) device (Viacor) placed temporarily in the coronary sinus (CS): the implant allows in-situ incremental adjustment to optimally reduce the anterior-posterior mitral annulus (MA) dimension, and improve leaflet co-aptation and reducing mitral regurgitation (MR). BACKGROUND: Surgical annuloplasty remains the standard treatment of severe ischemic MR but its application is limited by high morbidity and mortality. The effectiveness of PTMA device (Viacor) to reduce MR in the short-term has been demonstrated in animals studies but not in humans. METHODS: Symptomatic patients with ischemic MR graded 2+ to 4+ requiring surgical mitral annuloplasty were screened. Patients with any mitral leaflet or mitral apparatus abnormality were excluded. Preoperatively, under general anesthesia and transesophageal echocardiography guidance, a temporary PTMA device was placed via the right internal jugular or subclavian vein. RESULTS: Four patients were studied. After device placement and adjustment, regurgitant volume was substantially reduced (45.5 +/- 24.4 to 13.3 +/- 7.3 ml) via MA anterior-posterior diameter reduction (40.75 +/- 4.3 to 35.2 +/- 1.6 mm) in 3 patients. In one patient, the PTMA device could not be deployed due to extreme angulated anatomy. CONCLUSIONS: PTMA in human is feasible and reduces ischemic MR (to grade 1+) by reducing MA anterior-posterior diameter. Temporary placement of the PTMA device may assist in the development of permanent implants and ensure optimal efficacy.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; 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".