VitaFlow™ transcatheter valve system in the treatment of severe aortic stenosis: One‐year results of a multicenter study
Bibliographic record
Abstract
OBJECTIVE: This study reports the 1-year clinical outcomes of the VitaFlow™ transcatheter aortic valve system in the treatment of severe aortic stenosis. BACKGROUND: The VitaFlow™ system (MicroPort®, Shanghai, China) was developed as a novel transcatheter aortic valve replacement system to mitigate or circumvent some of the challenges associated with heavily calcified valves and bicuspid valves. METHODS: From September 2014 to November 2017, a prospective, multicenter, single arm study was conducted in 11 centers in China. The primary end point was all cause mortality at 12 months. RESULTS: One hundred and ten symptomatic aortic stenosis patients (60 men, 50 women; mean age 77.73 ± 4.78 years) at prohibitive or high risk for surgery were enrolled. Mean society of thoracic surgeons score was 8.84 ± 5.58%. All-cause mortality was 2.7% at 1-year. Major stroke, major vascular complication, coronary artery obstruction, new pacemaker implantation occurred in 2.7, 2.7, 1.8, and 19.1% at 1-year follow-up, respectively. No patients had moderate or severe paravalvular leak at 1-year. At 1 year follow-up, 97% of patients had New York heart association ≤II. Patients with bicuspid valves had similar outcomes as those patients with tricuspid aortic valve stenosis. CONCLUSIONS: The 12-month clinical results support the safety and efficacy of VitaFlow™ in the treatment of patients with severe aortic stenosis, including patients with bicuspid aortic valve.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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 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".