Cost-Effectiveness of Earlier Transition to Angiotensin Receptor Neprilysin Inhibitor in Patients With Heart Failure and Reduced Ejection Fraction
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Angiotensin receptor neprilysin inhibitor (ARNi) therapy improves clinical outcomes in patients with heart failure and reduced left ventricular ejection fraction. However, ARNi therapy uptake remains modest, potentially in part due to perceived cost considerations of early transition from angiotensin converting enzyme inhibitor or angiotensin receptor blocker therapy. METHODS: , or immediate initiation at baseline, (2) Early or after 3 months, or (3) Late, or after 9 months. Initiation strategies were compared with (4) current care, with utilization of ARNi derived from a large observational database. Total costs, quality-adjusted life-years (QALYs), and the incremental cost-effectiveness ratio (ICER) were estimated over a 5-year time horizon in the base case analysis. RESULTS: strategy yielded an ICER of $34,727 per QALY gained, whereas Early and Late initiation strategies yielded a less favourable ICER per QALY gained of $35,871 and $40,234, respectively. The model was most sensitive to the cost of ARNi therapy. CONCLUSION: ARNi initiation is economically attractive and becomes less favourable as the delay of initiation increases. Our results suggest that ARNi therapy should be initiated as soon as possible for patients with heart failure and reduced left ventricular ejection fraction.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 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