Cost-Effectiveness of Single- versus Multiple-Inhaler Triple Therapy in a UK COPD Population: The INTREPID Trial
Bibliographic record
Abstract
Purpose: The 24-week INTREPID trial demonstrated the clinical benefits of once-daily single-inhaler triple therapy (SITT) with fluticasone furoate, umeclidinium, and vilanterol (FF/UMEC/VI) versus non-ELLIPTA multiple-inhaler triple therapy (MITT) in patients with symptomatic chronic obstructive pulmonary disease (COPD). This analysis assessed the cost-effectiveness of FF/UMEC/VI versus non-ELLIPTA MITT for the treatment of symptomatic COPD from a United Kingdom (UK) National Health Service (NHS) perspective. Patients and Methods: The analysis was conducted using the validated GALAXY COPD disease progression model. Baseline characteristics, treatment effect parameters (forced expiratory volume in 1 second and St. George's Respiratory Questionnaire score [derived from exploratory COPD Assessment Test score mapping]), and discontinuation data from INTREPID were used to populate the model. UK healthcare resource and drug costs (2020 British pounds) were applied, and costs and outcomes were discounted at 3.5%. Analyses were conducted over a lifetime horizon from a UK NHS perspective. Model outputs included exacerbation rates, total costs, life years (LYs), quality-adjusted LYs (QALYs) and incremental cost-effectiveness ratio per QALY. Sensitivity analyses were conducted to assess the robustness of the results by varying parameter values and assumptions. Results: Over a lifetime horizon, FF/UMEC/VI provided an additional 0.174 (95% confidence interval [CI]: 0.024, 0.344) LYs (approximately 2 months), and 0.253 (95% CI: 0.167, 0.346) QALYs (approximately 3 months), at a cost saving of £1764 (95% CI: -£2600, -£678) per patient, compared with non-ELLIPTA MITT. FF/UMEC/VI remained the dominant treatment option, meaning greater benefits at lower costs, across all scenario and sensitivity analyses. Conclusion: Based on this analysis, in a UK setting, FF/UMEC/VI would improve health outcomes and reduce costs compared with non-ELLIPTA MITT for the treatment of patients with symptomatic COPD. SITT may help to reduce the clinical and economic burden of COPD and should be considered by physicians as a preferred treatment option.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".