Triple Therapy with Mometasone/Indacaterol/Glycopyrronium or Doubling the ICS/LABA Dose in GINA Step 4: IRIDIUM Analyses
Bibliographic record
Abstract
GINA guidelines recommend increasing the dose of inhaled corticosteroids (ICS) as a step-up option for patients with inadequately controlled asthma at GINA step 4 [inadequately controlled asthma on medium-dose ICS/long-acting beta-2 agonist (LABA)]. The aim of this study was to compare the efficacy and safety of long-acting muscarinic antagonists (LAMA) add-on to medium-dose ICS/LABA in patients at GINA 2022 step 4. This post hoc analysis of the IRIDIUM study evaluated the change from baseline in trough forced expiratory volume (FEV 1 ) in patients receiving medium-dose MF/IND/GLY versus high-dose MF/IND and high-dose FLU/SAL at Week 26. Other outcomes included improvement in lung functions [peak expiratory flow (PEF), forced vital capacity (FVC), forced expiratory flow between 25% and 75% of the FVC (FEF) 25–75% )], asthma control [Asthma Control Questionnaire (ACQ-7)], responder analysis (≥ 0.5 unit improvement in ACQ-7), and reduction in asthma exacerbations at Weeks 26 and 52. A total of 1930 patients were included in this analysis. Medium-dose MF/IND/GLY improved trough FEV 1 versus high-dose MF/IND (Δ 41 mL; 95% CI – 7–90) and high-dose FLU/SAL (Δ 88 mL; 95% CI 39–137) at Week 26 which were sustained until Week 52. Exacerbation rates were 16% lower with medium-dose MF/IND/GLY versus high-dose MF/IND for all (mild, moderate, and severe) exacerbations and 21–30% lower versus high-dose FLU/SAL for all (mild, moderate, and severe), moderate or severe, and severe exacerbations over 52 weeks. Further improvements in other lung functions were observed with medium-dose MF/IND/GLY. No new safety signals were identified. Medium-dose MF/IND/GLY improved lung function and reduced asthma exacerbations compared to high-dose ICS/LABA and may be an undervalued option in patients at GINA 2022 step 4. ClinicalTrials.gov Identifier: NCT02571777.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".