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 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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".