Early Structural Deterioration of a Sutureless Bioprosthetic Aortic Valve
Bibliographic record
Abstract
Sutureless bioprosthetic valves such as the Sorin Perceval S valve (SPV) have been used in patients with aortic stenosis that require surgical aortic valve replacement (SAVR). These prostheses have been marketed on the basis of their rapid implantation techniques with avoidance of sutures and reduced aortic cross-clamp times. We report a case of an early failure of a SPV nearly 4 years after implantation in a 58-year-old woman who was low-risk. While the patient's symptoms initially improved with SAVR with a sutureless bioprosthetic valve, they progressively worsened as the valve degraded, and the leaflets became increasingly calcified and stenotic ultimately, requiring reoperative SAVR with a St. Jude mechanical valve. This case raises the issue of the lack of much-needed data describing the long-term durability and hemodynamic performance of these valves, particularly in a low-risk patient with excellent functional status. We hope to shed further insight into the lack of long-term studies on patients with SPV to assess their longevity and long-term effectiveness, as well as elucidation of possible prevention and monitoring of these potential complications. The use of newer generation prostheses, although attractive for their ease of implantation, potentially carries higher long-term risk due to shorter durability leading to reintervention to address valve deterioration. This is especially true in low-risk patients who are young and active. Cardiology and cardiothoracic surgery societies need to develop a universal registry with follow-up of all valves in order to track and study the durability of these valves, and to evaluate for incidence of known and potential complications.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".