Impact of coronary artery disease on outcomes after transcatheter aortic valve implantation
Bibliographic record
Abstract
BACKGROUND: Coronary artery disease (CAD) negatively impacts prognosis of patients undergoing surgical aortic valve replacement and revascularization is generally recommended at the time of surgery. Implications of CAD and preprocedural revascularization in the setting of transcatheter aortic valve implantation (TAVI) are not known. METHOD: Patients who underwent successful TAVI from January 2005 to December 2007 were retrospectively divided into five groups according to the extent of CAD assessed with the Duke Myocardial Jeopardy Score: no CAD, CAD with DMJS 0, 2, 4, and > or =6. Study endpoints included 30-day and 1-year survival, evolution of symptoms, left ventricular ejection fraction (LVEF), and mitral regurgitation (MR) and need of revascularization during follow-up. RESULTS: One hundred and thirty-six patients were included, among which 104 (76.5%) had coexisting CAD. Thirty-day mortality in the five study groups was respectively 6.3, 14.6, 7.1, 5.6, and 17.7% with no statistically significant difference between groups (P = 0.56). Overall survival rate at one year was 77.9% (95% CL: 70.9, 84.9) with no difference between groups (P = 0.63). Symptoms, LVEF, and MR all significantly improved in the first month after TAVI, but the extent of improvement did not differ between groups (P > 0.08). Revascularization after TAVI was uncommon. CONCLUSION: The presence of CAD or nonrevascularized myocardium was not associated with an increased risk of adverse events in this initial cohort. On the basis of these early results, complete revascularization may not constitute a prerequisite of TAVI. This conclusion will require re-assessment as experience accrues in patients with extensive CAD.
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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 | 0.004 |
| 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 | 0.001 |
| 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".