Oversizing Increases Pacemaker Implantation Rate After Sutureless Minimally Invasive Aortic Valve Replacement
Bibliographic record
Abstract
Objective Cardiac conduction system disturbances potentially leading to permanent pacemaker implantation are significant postoperative complications after aortic valve replacement. The aim of this study was to assess the impact of sutureless prosthetic valve oversizing on permanent pacemaker implantation rate. Methods This multicenter retrospective study included 306 patients who underwent minimally invasive aortic valve replacement with the Perceval sutureless valve. Oversizing was determined by the implanted valve size indexed to body surface area. Data were analyzed with a multivariable logistic regression model. Results This study confirmed excellent postoperative results for minimally invasive aortic valve replacement with right anterior minithoracotomy approach and rapid deployment sutureless valves. Mortality rate was 1%. Eighteen (5.9%) patients received a new permanent pacemaker. Multivariable logistic regression model ( P = 0.05) found oversizing as significant risk factor ( P = 0.017) for permanent postoperative pacemaker implantation independent of patient age. There was a significant negative correlation between the indexed implanted valve size and the mean and peak postoperative transvalvular gradients ( P < 0.001). Conclusions Oversizing of sutureless prosthetic aortic valves is a risk factor for postoperative permanent pacemaker implantation. Proper sizing of Perceval is important to avoid complications and ensure optimal valve performance.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".