Initial treatment of COPD with LABA-ICS or LABA-LAMA: real-world comparative effectiveness
Bibliographic record
Abstract
Background The 2023 Global initiative for chronic Obstructive Lung Disease (GOLD) recommendations advocate long-acting beta 2 agonist (LABA) and long-acting muscarinic antagonist (LAMA) combinations (LABA-LAMA) for the initial pharmacological treatment of patients with chronic obstructive pulmonary disease (COPD) with multiple exacerbations. However, this choice, rather than combinations of LABA and inhaled corticosteroids (LABA-ICS), no longer recommended in GOLD, was based on randomised trials that excluded patients with multiple prior exacerbations. Research question What is the comparative effectiveness of initiating COPD treatment with LABA-ICS versus LABA-LAMA inhalers, particularly in patients with multiple COPD exacerbations, in a real-world clinical practice setting? Study design and methods We identified a cohort of patients with COPD, 40 years of age or older, from the United Kingdom’s Clinical Practice Research Datalink. Treatment-naïve initiators of single-inhaler LABA-ICS or LABA-LAMA, with no prior asthma, LABA, LAMA or ICS use, were compared on the incidence of moderate or severe COPD exacerbation over 1 year, after adjustment by propensity score weighting. Results The study cohort included 20 750 initiators of LABA-ICS inhalers and 16 594 of LABA-LAMA. The overall adjusted HR of a first moderate or severe exacerbation with LABA-ICS relative to LABA-LAMA was 1.03 (95% CI 0.98 to 1.08). Among patients with two or more prior exacerbations, the HR of exacerbation with LABA-ICS versus LABA-LAMA was 0.89 (95% CI 0.81 to 0.97), while it was 1.07 (95% CI 1.00 to 1.15) among patients with no prior exacerbations. The HR was 0.92 (95% CI 0.86 to 0.99) among those with forced expiratory volume in 1 s (FEV 1 )≥50% predicted. Interpretation In a real-world clinical practice setting of COPD treatment, initiating therapy with LABA-ICS inhalers may be more effective than LABA-LAMA inhalers among patients with multiple exacerbations, particularly those with FEV 1 ≥50% predicted, but less effective among those with no prior exacerbations and FEV 1 <50% predicted. This study supports a targeted approach to initial therapy for COPD.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".