Role of Transesophageal Echocardiography in Percutaneous Aortic Valve Replacement with the CoreValve Revalving System
Bibliographic record
Abstract
Percutaneous aortic valve replacement (PAVR) is an emerging therapy for nonsurgical patients with severe aortic stenosis (AS). We examined the role of transesophageal echocardiography (TEE) in PAVR. TEE was used initially to assess the native valve and aortic root, and served as a guide during PAVR. Following prosthetic valve deployment, TEE was used to assess valve function. Eleven patients aged 82 +/- 10 years with NYHA III-IV underwent PAVR. Periprocedural TEE gave immediate information on prosthetic position and function, LV function, mitral regurgitation, pericardium, and thoracic aorta anatomy. There was excellent visual agreement between fluoroscopic and TEE images of prosthetic positioning and deployment. TEE facilitated the detection and management of procedure-related complications. Compared with pre-PAVR, AV area (0.56 +/- 0.19 cm(2) vs. 1.3 +/- 0.4 cm(2); P < 0.001) and LVEF (49 +/- 17% vs. 56 +/- 11%; P < 0.001) increased. TEE provides key anatomical and functional information, and serves as a diagnostic guide for complications, which may arise during PAVR.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".