<p>Cost-Effectiveness Analysis of a Once-Daily Single-Inhaler Triple Therapy for Patients with Chronic Obstructive Pulmonary Disease (COPD) Using the FULFIL Trial: A Spanish Perspective</p>
Bibliographic record
Abstract
Purpose: To evaluate the cost-effectiveness of once-daily fluticasone furoate/umeclidinium/vilanterol (FF/UMEC/VI) vs twice-daily budesonide/formoterol (BUD/FOR) in patients with symptomatic chronic obstructive pulmonary disease (COPD) at risk of exacerbations, from the Spanish National Healthcare System perspective. Patients and Methods: The validated GALAXY-COPD model was used to simulate disease progression and predict healthcare costs, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios (ICERs) over a 3-year time horizon for a Spanish population. Patient characteristics from published literature were supplemented by data from FULFIL (NCT02345161), which compared FF/UMEC/VI vs BUD/FOR in patients with symptomatic COPD at risk of exacerbations. Treatment effects, extrapolated to 3 years, were based on Week 24 results in the FULFIL intent-to-treat population, including change in forced expiratory volume in 1 second, St. George's Respiratory Questionnaire score, and exacerbation rates. Treatment, exacerbations, and COPD management costs (2019€) were informed by Spanish public sources and published literature. A 3% discount rate for costs and benefits was applied. One-way sensitivity and scenario analyses, and probabilistic sensitivity analysis (PSA), were performed. Results: FF/UMEC/VI treatment led to fewer moderate and severe exacerbations (2.126 and 0.306, respectively) vs BUD/FOR (2.608 and 0.515, respectively), with a mean incremental cost of €69 and gain of 0.107 QALYs, which resulted in an ICER of €642 per QALY gained. In sensitivity analyses, the ICER was most sensitive to treatment effect variations in exacerbations and healthcare resource utilization/event costs. Overall, 95% of 1000 PSA simulations resulted in an ICER less than €11,000 per QALY gained for FF/UMEC/VI vs BUD/FOR, confirming robustness of the results. The probability of FF/UMEC/VI being cost-effective vs BUD/FOR was 100% at a willingness-to-pay threshold of €30,000 per QALY gained. Conclusion: At the accepted Spanish ICER threshold of €30,000, FF/UMEC/VI represents a cost-effective treatment option vs BUD/FOR in patients with symptomatic COPD at risk of exacerbations.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".