Haemodynamic performance and clinical outcomes of transcatheter aortic valve replacement with the self-expanding ACURATE neo2
Bibliographic record
Abstract
BACKGROUND: Transcatheter aortic valve replacement (TAVR) with the ACURATE neo device has been associated with a non-negligible incidence of paravalvular aortic regurgitation (AR). The new-generation ACURATE neo2 has been designed to mitigate this limitation. AIMS: The aim of the study was to compare TAVR with the ACURATE neo and neo2 devices. METHODS: The NEOPRO and NEOPRO-2 registries retrospectively included patients undergoing transfemoral TAVR with self-expanding valves at 24 and 20 centres, respectively. Patients receiving the ACURATE neo and neo2 devices (from January 2012 to December 2021) were included in this study. Predischarge and 30-day VARC-3 defined outcomes were evaluated. The primary endpoint was predischarge moderate or severe paravalvular AR. Subgroup analyses per degree of aortic valve calcification were performed. RESULTS: A total of 2,026 patients (neo: 1,263, neo2: 763) were included. Predischarge moderate or severe paravalvular AR was less frequent for the neo2 group (2% vs 5%; p<0.001), resulting in higher VARC-3 intended valve performance (96% vs 90%; p<0.001). Furthermore, more patients receiving the neo2 had none/trace paravalvular AR (59% vs 38%; p<0.001). The reduction in paravalvular AR with neo2 was mainly observed with heavy aortic valve calcification. New pacemaker implantation and VARC-3 technical and device success rates were similar between the 2 groups; there were more frequent vascular and bleeding complications for the neo device. Similar 1-year survival was detected after TAVR (neo2: 90% vs neo: 87%; p=0.14). CONCLUSIONS: TAVR with the ACURATE neo2 device was associated with a lower prevalence of moderate or severe paravalvular AR and more patients with none/trace paravalvular AR. This difference was particularly evident with heavy aortic valve calcification.
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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".