Early and late effects of aortic root enlargement: Results from the Pericardial Surgical Aortic Valve Replacement Pivotal Trial: A multicenter, prospective clinical trial
Bibliographic record
Abstract
Objective During surgical aortic valve replacement, prosthesis–patient mismatch is avoided by implanting the largest possible valve, which sometimes requires annular enlargement (ARE). The effects of ARE on mortality remain controversial. We reviewed data from a multinational clinical trial evaluating a novel pericardial bioprosthesis to determine the influence of ARE 5 years postimplant. Methods Patients with aortic valve disease requiring surgical aortic valve replacement were prospectively enrolled at 25 centers in North America and 13 centers in Europe. Standardized follow-up was prescribed, including serial echocardiography assessed by a core lab. A composite 30-day end point of major morbidity or mortality was defined as death, reoperation for any cause, stroke, deep sternal wound infection, and acute kidney injury. Results Among 602 patients with detailed intraoperative data, 90 (15%) underwent ARE with similar rates in North America (17%) and Europe (12%; P = .11). Implanted valve size was similar in both groups ( P = .18). The prevalence of moderate or severe prosthesis–patient mismatch at 12 months and at 5 years was comparable between groups, as was the average indexed effective orifice area ( P = .3). Five-year survival (ARE, 91% vs no ARE, 89%) and freedom from 30-day major morbidity and mortality (ARE, 87% vs no ARE, 89%) were also similar. Conclusions In this analysis of a prospective, observational clinical trial, we observed that the performance of an aortic root enlargement procedure did not increase morbidity or mortality at 30 days. We found that survival at 5 years was similar between groups, suggesting that the performance of an ARE procedure restored survival to that observed in patients who did not require an ARE.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".