Late clinical outcomes of aortic valve replacement with Carpentier-Edwards pericardial valves
Bibliographic record
Abstract
BACKGROUND: The present study aimed to compare the long-term clinical and hemodynamic outcomes of aortic valve replacement using Carpentier-Edwards Perimount (Perimount) or Perimount Magna (Magna) valves. METHODS: We enrolled 430 patients who underwent aortic valve replacements with Perimount (n=58) or Magna (n=372) valves [1998-2013]. Multivariable and inverse probability of treatment weight (IPTW) analyses were performed. RESULTS: Magna 76%±4%; P=0.02; hazard ratio (HR): 0.37 for the Perimount group; 95% confidence interval (CI): 0.17-0.83]. Multivariable analysis of the overall survival identified Perimount valve use as a protective factor (P=0.009; HR: 0.32; 95% CI: 0.14-0.75). Independent risk factors of overall survival were older age, male sex, higher preoperative left ventricular mass index, lower ejection fraction, lower aortic valve pressure gradient, and lower haemoglobin. After applying IPTW, overall survival was again found to be significantly longer in the Perimount group (P=0.04; HR: 0.43; 95% CI: 0.20-0.93). Event-free survival was also better in the Perimount group (P=0.006; HR: 0.38; 95% CI: 0.19-0.75). However, the Magna group had significantly lower aortic valve pressure gradients at one year and five years postoperative. CONCLUSIONS: Although Magna use led to decreased aortic valve pressure gradients at follow-up, overall and event-free survival rates were significantly better with use of the Perimount valve. Additional and larger studies are needed to confirm these results.
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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 | 0.004 |
| 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".