Efficacy of Aclidinium Bromide According to Baseline Therapy: Post-Hoc Analysis of ASCENT-COPD Randomized Trial
Bibliographic record
Abstract
Long-acting muscarinic antagonists (LAMAs), long-acting β2-agonists (LABAs), inhaled corticosteroids (ICS), and their combinations, are recommended for the treatment of chronic obstructive pulmonary disease (COPD). This study aimed to determine whether the safety and efficacy of aclidinium bromide differs by baseline maintenance LABA and ICS therapies. ASCENT-COPD was a phase 4, multicenter, double-blind, randomized, placebo-controlled, parallel-group study of patients with moderate-to-very severe COPD and increased cardiovascular risk. Patients were randomized 1:1 to receive aclidinium 400 μg or placebo twice daily, via a multidose dry-powder inhaler for up to 3 years. Outcomes included time to first major adverse cardiovascular events (MACE), all-cause mortality, change from baseline in trough forced expiratory volume in 1 s (FEV1), and COPD assessment test (CAT) total score over 3 years, and annual moderate-to-severe COPD exacerbation rate in patients receiving aclidinium or placebo with maintenance LABA monotherapy, ICS monotherapy, LABA + ICS (fixed/free), or no maintenance therapy (neither LABA nor ICS) at baseline. A total of 3589 patients were included (LABA, n = 227; ICS, n = 290; LABA + ICS, n = 2058; no maintenance, n = 1130). Aclidinium did not increase the risk of MACE or all-cause mortality versus placebo, regardless of baseline maintenance treatment. Reductions in moderate-to-severe exacerbation rates were observed with aclidinium versus placebo in all subgroups [LABA 43% (P = 0.046); ICS 25% (P = 0.202); LABA + ICS 22% (P = 0.003); no maintenance 18% (P = 0.130)]. Aclidinium improved morning trough FEV1 irrespective of baseline therapy and CAT total scores, except for LABA and ICS subgroups, versus placebo at several time points. In patients with moderate-to-severe COPD and CV risk factors, the addition of aclidinium to maintenance therapy with LABA or LABA + ICS provided further benefit. ClinicalTrials.gov identifier NCT01966107.
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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) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".