Transcatheter aortic valve implantation in patients with small aortic annuli using a 20 mm balloon-expanding valve
Bibliographic record
Abstract
BACKGROUND: While transcatheter aortic valve implantation (TAVI) is established for treating high-operative risk surgical aortic valve replacement candidates, until recently the smallest transcatheter heart valve (THV) measured 23 mm, posing greater risk for annular rupture and THV failure in patients with aortic stenosis (AS) with small aortic annuli (≤20 mm). OBJECTIVES: In the setting of a multicentre registry, we report on the safety, efficacy and early clinical outcomes of the SAPIEN XT 20 mm balloon-expanding THV. RESULTS: Among TAVI 55 recipients (n=30 for native AS, n=25 for a valve-in-valve procedure (V-in-V)), median age and Society of Thoracic Surgeons score were 85 (81 to 87) years and 7.8 (4.7 to 12.4)%, respectively. Mean and minimum annular diameters were 19±1 and 17±2 mm, respectively, in native patients with AS, and 17±1 mm (internal diameter) in V-in-V recipients. Successful device implantation rate was 96%, with no procedural-related death. Overall in-hospital-30-day death, stroke and major bleeding rates were 5%, 2% and 9%, respectively. In native AS TAVI recipients, mean transaortic gradient decreased from 54±20 to 12±5 mm Hg (p<0.001), and from 45±17 to 24±8 mm Hg (p<0.001) in V-in-V recipients. Severe prosthesis-patient mismatch (PPM) rates were 10% and 48% in native AS and V-in-V TAVI recipients, respectively (p=0.03). Post-TAVI, the rate of moderate aortic regurgitation was 7% and 0% in native AS and V-in-V TAVI recipients, respectively. CONCLUSIONS: TAVI with the 20 mm SAPIEN XT THV appears safe and technically feasible, with acceptable short-term clinical outcomes and low rates of severe PPM in those with native AS.
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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 | 0.001 |
| 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".