Impact of Recent Heart Failure Hospitalization on Clinical Outcomes in Patients with Severe Aortic Stenosis Undergoing Transcatheter Aortic Valve Replacement: An Analysis from the PARTNER 2 Trial and Registries
Bibliographic record
Abstract
AIMS: Heart failure (HF) hospitalization prior to transcatheter aortic valve replacement (TAVR) is associated with increased post-procedural mortality. We sought to assess the association between recent (≤6 months) HF hospitalization and long-term adverse outcomes in patients with symptomatic, severe aortic stenosis, undergoing TAVR in the PARTNER 2 trial and registries. METHODS AND RESULTS: Intermediate to high or even prohibitive risk patients who underwent TAVR in the PARTNER 2 trial and registries were included in the analysis. Clinical outcomes at 30 days and 2 years were compared between patients according to whether they were recently hospitalized for HF, using Kaplan-Meier event rates and study-stratified multivariable Cox proportional hazards regression models. A sensitivity analysis was conducted using propensity score matching. Of 3988 patients (99.8%) with available information on recent HF hospitalization, 1622 patients (40.7%) were hospitalized for HF symptoms during the 6 months prior to TAVR. After multivariable adjustments, recent HF hospitalization was associated with increased all-cause mortality at 30 days [adjusted hazard ratio (HR) 1.63, 95% confidence interval (CI) 1.07-2.48, P = 0.02] and 2 years (adjusted HR 1.30, 95% CI 1.13-1.49, P = 0.0003), which was driven by increased cardiovascular mortality. Infective endocarditis rate at 2 years was also higher in patients with recent HF hospitalization (adjusted HR 2.35, 95% CI 1.38-4.01, P = 0.002). These results remained consistent when propensity score matching was used. CONCLUSION: In a large cohort of patients with severe symptomatic aortic stenosis from the PARTNER 2 trial and registries, all-cause and cardiovascular mortality as well as infective endocarditis rates at 2 years were higher in patients with recent HF hospitalization.
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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 | 0.010 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".