Severe aortic stenosis with low aortic valve calcification: characteristics and outcome following transcatheter aortic valve implantation
Why this work is in the frame
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Bibliographic record
Abstract
AIMS: High aortic valve calcification (AVC) assessed with CT may be used to differentiate between severe and non-severe aortic stenosis (AS). Nonetheless, in some cases patients with low calcification are diagnosed with haemodynamically severe AS. The prevalence, mechanism of valve stenosis and implications for transcatheter aortic valve implantation (TAVI) of low AVC severe AS remain unclear. We assessed the clinical and haemodynamic characteristics and the outcome of patients with severe AS and low AVC that undergo TAVI. METHODS AND RESULTS: Ninety-three patients that had low CT aortic valve calcification score (AVCS) were compared to 470 patients with high AVCS. High gradient severe AS was found among 53.8% (50/93) of the patients with low AVCS vs. 86% (404/470) of the patients with high AVCS (P < 0.001). Device success rate was similar between both groups. There were significantly lower rates of postprocedural paravalvular regurgitation (PVR) in the low AVCS group (≥ mild PVR: 12.9% vs. 23.6%; P = 0.03). Overall, there were only two cases (0.4%) of valve embolization in patients with high AVCS and 1 (1.1%) in patients with low AVCS (P = 0.42). Thirty-day mortality and major complications were similar between groups. CONCLUSION: Balloon-expandable TAVI in patients with a mildly calcified aortic valve was not associated with increased risk of valve embolization or mortality. We demonstrated high device success and lower rates of PVR for these patients. These findings suggest that in patients with evidence of haemodynamically severe AS at echocardiography, the presence of low ACVS at CT should not preclude the consideration of TAVI.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.007 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 it