Impact of Resting Heart Rate at 30 Days Following Transcatheter or Surgical Aortic Valve Replacement and Cardiovascular Outcomes: Insights from The PARTNER 2 Trial
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Bibliographic record
Abstract
BackgroundElevated resting heart rate (RHR) is associated with adverse cardiovascular outcomes in patients with untreated aortic valve stenosis (AS). However, the impact of RHR following transcatheter (TAVR) or surgical aortic valve replacement (SAVR) on cardiovascular outcomes is unknown. We therefore sought to determine the effect of RHR at 30 days after aortic valve replacement (AVR) on 2-year outcomes in patients with severe symptomatic AS.MethodsThe study population consists of 3170 patients from the PARTNER 2 Trial and its embedded registries who underwent TAVR or SAVR for severe AS, and had available 12-lead electrocardiograms demonstrating sinus rhythm at 30 days post-procedure. Outcomes at 2 years were analyzed according to 30-day RHR modeled as a continuous variable and in groups (RHR ≥75 bpm and RHR <75 bpm).ResultsBy multivariable analysis, RHR ≥75 bpm at 30 days after AVR was an independent predictor of the composite endpoint of all-cause death, rehospitalization or stroke (hazard ratio [HR] 1.26, 95% confidence interval [CI], 1.05–1.52, p = 0.015) and rehospitalization (HR 1.42, 95% CI, 1.12–1.79, p = 0.004). Similarly, RHR modeled as a continuous variable (per 5 bpm) remained an independent predictor of all-cause death, rehospitalization or stroke (adjusted HR 1.07, 95% CI, 1.03–1.11, p = 0.0007), and rehospitalization (adjusted HR 1.09, 95% CI, 1.04–1.14, p = 0.0003) at 2 years.ConclusionsIn patients with severe AS treated with TAVR or SAVR, resting heart rate at 30 days post-procedure was an independent predictor of the composite endpoint of all-cause death, rehospitalization or any stroke, and of rehospitalization at 2 years.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| 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 it