Early and Midterm Clinical Outcomes of Transcatheter Valve-in-Valve Implantation Versus Redo Surgical Aortic Valve Replacement for Aortic Bioprosthetic Valve Degeneration: Two Faces of the Same Medal
Bibliographic record
Abstract
OBJECTIVE: To compare early and midterm outcomes of transcatheter valve-in-valve implantation (ViV-TAVI) and redo surgical aortic valve replacement (re-SAVR) for aortic bioprosthetic valve degeneration. DESIGN: Patients who underwent ViV-TAVI and re-SAVR for aortic bioprosthetic valve degeneration between January 2010 and October 2018 were retrospectively analyzed. Mean follow-up was 3.0 years. SETTING: In-hospital, early, and mid-term outcomes. PARTICIPANTS: Eighty-eight patients were included in the analysis. INTERVENTIONS: Thirty-one patients (37.3%) had ViV-TAVI, and 57 patients (62.7%) had re-SAVR. MEASUREMENTS AND MAIN RESULTS: In the ViV-TAVI group, patients were older (79.1 ± 7.4 v 67.2 ± 14.1, p < 0.01). The total operative time, intubation time, intensive care unit length of stay, total hospital length of stay, inotropes infusion, intubation >24 hours, total amount of chest tube losses, red blood cell transfusions, plasma transfusions, and reoperation for bleeding were significantly higher in the re-SAVR cohort (p < 0.01). There was no difference regarding in-hospital permanent pacemaker implantation (ViV-TAVI = 3.2% v re-SAVR = 8.8%, p = 0.27), patient-prosthesis mismatch (ViV-TAVI = 12 patients [mean 0.53 ± 0.07] and re-SAVR = ten patients [mean 0.56 ± 0.08], p = 0.4), stroke (ViV-TAVI = 3.2% v re-SAVR = 7%, p = 0.43), acute kidney injury (ViV-TAVI = 9.7% v re-SAVR = 15.8%, p = 0.1), and all-cause infections (ViV-TAVI = 0% v re-SAVR = 8.8%, p = 0.02), between the two groups. In-hospital mortality was 0% and 7% for ViV-TAVI and re-SAVR, respectively (p = 0.08). At three-years' follow-up, the incidence of pacemaker implantation was higher in the re-SAVR group (ViV-TAVI = 0 v re-SAVR = 13.4%, p < 0.01). There were no differences in reintervention (ViV-TAVI = 3.8% v re-SAVR = 0%, p = 0.32) and survival (ViV-TAVI = 83.9% v re-SAVR = 93%, p = 0.10) between the two cohorts. CONCLUSIONS: ViV-TAVI is a safe, feasible, and reliable procedure.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".