Aortic atheroma burden predicts acute cerebrovascular events after transcatheter aortic valve implantation: insights from volumetric multislice computed tomography analysis
Bibliographic record
Abstract
AIMS: Embolisation of atheromatous debris during catheter manipulation is considered to underlie acute cerebrovascular events (CVE) after transcatheter aortic valve implantation (TAVI). However, the relationship between aorta atheroma burden and acute CVE after TAVI has not been established. We investigated the impact of aorta atheroma burden on acute CVE. METHODS AND RESULTS: Preoperative multislice computed tomographic (MSCT) images in 278 patients receiving TAVI were analysed. Total atheroma volume (TAV) was calculated by measuring aorta vessel and lumen areas in every 1 mm cross-sectional image. Acute CVE was observed in 16 patients. Patients having acute CVE were more likely to have a prior CVE (p=0.002), and to exhibit greater TAV in the ascending aorta (12.8±3.5 vs. 7.0±2.1 cm3, p<0.001) and the aortic arch (3.1±1.6 vs. 1.2±0.2 cm3, p<0.001). TAV in the ascending aorta >10.3 cm3 and in the aortic arch >2.9 cm3 predicted acute CVE. The incidence of acute CVE was highest (36.4%) if patients had a prior CVE and TAV in the ascending aorta and the aortic arch above cut-offs. CONCLUSIONS: Patients with acute CVE after TAVI had greater aorta atheroma burden. Our findings might underscore preoperative MSCT analysis of aorta atherosclerosis to identify high-risk patients for acute CVE, who might require an embolic protection device during TAVI.
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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) | 0.001 | 0.008 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".