Comparative value of dapagliflozin vs empagliflozin in patients with heart failure and preserved ejection fraction: A cost-effectiveness analysis
Bibliographic record
Abstract
BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) imposes a high disease burden on patients, primarily because of multimorbidity and frequent hospitalizations. Recently, the American College of Cardiology Expert Consensus recommended treating all patients diagnosed with HFpEF with a sodium-glucose cotransporter 2 inhibitor, such as dapagliflozin or empagliflozin, to reduce the risk of cardiovascular death and hospitalization and improve health status. However, managing HFpEF can be expensive, highlighting the need to assess therapeutic alternatives that can minimize health care costs while optimizing patient outcomes. OBJECTIVE: To compare the cost-effectiveness of dapagliflozin vs empagliflozin in managing patients with HFpEF from the US health care system perspective. METHODS: We developed a Markov model to simulate a cohort of patients with HFpEF (defined as having a left ventricular ejection fraction ≥ 50%) treated with dapagliflozin or empagliflozin. Transition probabilities between 3 health states (HFpEF, hospitalization for heart failure, and death), costs, and quality of life weight input variables were obtained from the literature. In the base-case analysis, we estimated total expected costs, quality-adjusted life-years (QALYs) gained, and the incremental cost-effectiveness ratio (ICER) over a lifetime horizon. All future expected costs and QALYs were discounted at the annual rate of 3%. We conducted sensitivity analyses to demonstrate the robustness of the cost-effectiveness model findings. RESULTS: Dapagliflozin had an incremental expected lifetime cost of $29,896 compared with empagliflozin, resulting in an ICER of $36,902/QALY. Value-based price threshold analysis suggested that for empagliflozin to be cost-effective, it would need a 29% discount on its annual price. In a probabilistic sensitivity analysis, dapagliflozin would be the most preferred cost-effective option at willingness-to-pay thresholds of $50,000/QALY about 72% of the time. CONCLUSIONS: This cost-effectiveness analysis showed that, from the US health care system perspective, dapagliflozin was more cost-effective than empagliflozin, and its uptake may enhance long-term outcomes in patients with HFpEF.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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".