Pacemaker implantation after sutureless or stented valve: results from a controlled randomized trial
Bibliographic record
Abstract
OBJECTIVES: Sutureless aortic valves demonstrated non-inferiority to standard stented valves for major cardiovascular and cerebral events at 1 year after aortic valve replacement. We aim to assess the factors correlating with permanent pacemaker implantation (PPI) in both cohorts. METHODS: PERSIST-AVR is a prospective, randomized, open-label trial. Patients undergoing aortic valve replacement were randomized to receive a sutureless aortic valve replacement (Su-AVR) or stented sutured bioprosthesis (SAVR). Multivariable analysis was performed to identify possible independent risk factors associated with PPI. A logistic regression analysis was performed to estimate the risk of PPI associated to different valve size. RESULTS: The 2 groups (Su-AVR; n = 450, SAVR n = 446) were well balanced in terms of preoperative risk factors. Early PPI rates were 10.4% in the Su-AVR group and 3.1% in the SAVR. PPI prevalence correlated with valve size XL (P = 0.0119) and preoperative conduction disturbances (P = 0.0079) in the Su-AVR group. No predictors were found in the SAVR cohort. Logistic regression analysis showed a significantly higher risk for PPI with size XL compared to each individual sutureless valve sizes [odds ratio (OR) 0.272 vs size S (95%confidence interval 0.07-0.95), 0.334 vs size M (95% CI 0,16-0; 68), 0.408 vs size L (95% CI 0,21-0.81)] but equivalent risk of PPI rates for all other combination of valve sizes. CONCLUSIONS: Su-AVR is associated with higher PPI rate as compared to SAVR. However, the increased PPI rate appears to be size-dependent with significant higher rate only for size XL. The combination of preoperative conduction disorder and a size XL can lead to a higher probability of early PPI in Su-AVR. CLINICAL TRIAL REGISTRATION NUMBER: NCT02673697.
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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 | 0.009 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.009 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".