Early experience treating tricuspid valve endocarditis with a novel extracellular matrix cylinder reconstruction
Bibliographic record
Abstract
OBJECTIVE: The short-term outcomes were evaluated in patients treated for tricuspid valve endocarditis using a novel extracellular matrix (ECM) cylinder reconstruction technique. METHODS: Patients with clinically significant tricuspid regurgitation whose valves were not repairable by conventional techniques underwent valve replacement with a cylindrical construct sewn out of CorMatrix ECM (CorMatrix Cardiovascular, Roswell, Ga). The cylinders were sized to the native valve dimensions and attached distally to the papillary muscles using polypropylene sutures and ECM pledgets, and proximally to the annulus using a running suture. Patient data were collected retrospectively. RESULTS: From November 2011 to October 2013, 12 surgeons performed 19 tricuspid valve cylinder reconstructions in 8 men and 10 women (age range, 19-53 years). Of the 19 patients, 11 had active and 5 had treated endocarditis. One case was robotic-assisted. No deaths occurred, and no new cases of heart block developed. The papillary attachments were disrupted intraoperatively in 1 patient and after 7 days in another; both were successfully revised. A third patient experienced recurrent disruption of the implant at 13 and 22 months and ultimately received a pericardial valve. Fungal infection occurred in 1 cylinder at 6 months; a second ECM cylinder was implanted. Follow-up data were available for 13 patients at 1 to 2 months, 8 at 6 months, and 3 at 12 and 18 months. Other than patients undergoing reoperation, all showed well-functioning tricuspid valves with no to mild regurgitation. CONCLUSIONS: Cylinder reconstruction with ECM could be a suitable technique for replacing the tricuspid valve while preserving annuloventricular continuity in patients with infective endocarditis not repairable by conventional techniques.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".