ELASTACLIP and TMVR for Failed TEER With Leaflet Tear
Bibliographic record
Abstract
BACKGROUND: Severe mitral regurgitation (MR) after unsuccessful mitral transcatheter edge-to-edge repair (M-TEER) is relatively uncommon. Elderly comorbid patients may have limited options for definitive MR treatment after failed TEER. CASE SUMMARY: A 72-year-old woman with dilated cardiomyopathy presented with symptomatic severe functional MR and underwent M-TEER. During the procedure, the patient developed hemodynamic instability due to posterior leaflet tear with torrential MR which could not be addressed by the TEER. The patient had refractory heart failure despite medical therapy and was not an operative candidate. Following heart team discussion, she underwent ELASTACLIP followed by transcatheter mitral valve replacement using SAPIEN M3. Her condition promptly stabilized, and she was discharged home with stable NYHA II symptoms and trace MR at follow-up. DISCUSSION: Failed M-TEER with significant residual MR carries a high risk of mortality with limited treatment options. Transcatheter mitral valve replacement with ELASTACLIP is a feasible and definitive solution in selected patients after failed M-TEER. TAKE-HOME MESSAGE: ELASTACLIP with transcatheter mitral valve replacement using SAPIEN M3 is a safe and effective option for failed M-TEER.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".