Impact of Prior Q-Wave Myocardial Infarction in Transcatheter Aortic Valve Replacement Patients With Reduced Ejection Fraction
Bibliographic record
Abstract
Background: Coronary artery disease is prevalent in transcatheter aortic valve replacement (TAVR) patients, but the specific impact of prior Q-wave myocardial infarction (QWMI), a marker of transmural infarction, remains underexplored. This study evaluated the clinical impact of QWMI in TAVR patients with left ventricular ejection fraction (LVEF) < 50%. Methods: Multicenter study including 1172 consecutive patients undergoing TAVR with contemporary devices, stratified according to prior QWMI. The primary outcome was all-cause mortality or heart failure hospitalization (HFH) over a median follow-up of 3 (1-4) years. Secondary endpoints included changes in LVEF and independent predictors of adverse outcomes. Results: = 0.013) were independent predictors of adverse outcomes. Conclusions: Up to 1 out of 10 TAVR patients with reduced LVEF had prior QWMI, which was associated with impaired LVEF recovery, especially in those with anterior QWMI, and worse clinical outcomes at 3-year follow-up, largely driven by comorbidities. These findings underscore the importance of advanced preprocedural imaging, tailored therapeutic strategies, and integrated multidisciplinary care to enhance outcomes in this high-risk TAVR population.
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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) | 0.002 | 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".