Impact of Preoperative Moderate/Severe Mitral Regurgitation on 2-Year Outcome After Transcatheter and Surgical Aortic Valve Replacement
Bibliographic record
Abstract
BACKGROUND: The effect of preoperative mitral regurgitation (MR) on clinical outcomes of patients undergoing transcatheter aortic valve replacement (TAVR) is controversial. This study sought to examine the impact of moderate and severe MR on outcomes after TAVR and surgical aortic valve replacement (SAVR). METHODS AND RESULTS: Data were drawn from the randomized Placement of Aortic Transcatheter Valve (PARTNER) Trial cohort A patients with severe, symptomatic aortic stenosis undergoing either TAVR (n=331) or SAVR (n=299). Both TAVR and SAVR patients were dichotomized according to the degree of preoperative MR (moderate/severe versus none/mild). At baseline, moderate or severe MR was reported in 65 TAVR patients (19.6%) and 63 SAVR patients (21.2%). At 30 days, among survivors who had isolated SAVR/TAVR, moderate/severe MR had improved in 25 SAVR patients (69.4%) and 30 TAVR patients (57.7%), was unchanged in 10 SAVR patients (27.8%) and 19 TAVR patients (36.5%), and worsened in 1 SAVR patient (2.8%) and 4 TAVR patients (5.8%; all P=NS). Mortality at 2 years was higher in SAVR patients with moderate or severe MR than in those with mild or less MR (49.8% versus 28.1%; adjusted hazard ratio, 1.73; 95% confidence interval, 1.01-2.96; P=0.04). In contrast, MR severity at baseline did not affect mortality in TAVR patients (37.0% versus 32.7%, moderate/severe versus none/mild; hazard ratio, 1.14; 95% confidence interval, 0.72-1.78; P=0.58; P for interaction=0.05). CONCLUSIONS: Both TAVR and SAVR were associated with a significant early improvement in MR in survivors. However, moderate or severe MR at baseline was associated with increased 2-year mortality after SAVR but not after TAVR. TAVR may be a reasonable option in selected patients with combined aortic and mitral valve disease. CLINICAL TRIAL REGISTRATION URL: http://www.clinicaltrials.gov. Unique identifier: NCT00530894.
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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) | 0.000 | 0.001 |
| 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".