Long-acting antimuscarinic therapy in patients with chronic obstructive pulmonary disease receiving beta-blockers
Bibliographic record
Abstract
Abstract Background Beta-blocker therapies for cardiovascular comorbidities are often withheld in patients with chronic obstructive pulmonary disease (COPD) due to potential adverse effects on airway obstruction. We carried out a post hoc analysis to determine the efficacy and safety of aclidinium in patients with moderate-to-very severe COPD and increased cardiovascular risk receiving beta-blockers at baseline versus non-users. Methods ASCENT-COPD was a Phase 4, multicenter, double-blind, randomized, placebo-controlled, parallel-group study. Patients were randomized 1:1 to aclidinium or placebo twice-daily for up to 3 years. Outcomes included risk of (time to first) major adverse cardiovascular events (MACE), all-cause mortality, and lung function over 3 years, and exacerbations over 1 year. Results Of 3589 patients, 1269 (35.4%) used beta-blockers and 2320 (64.6%) were non-users at baseline. Aclidinium did not statistically increase the risk of MACE (beta-blocker user: hazard ratio 1.01 [95% CI 0.62–1.64]; non-user: 0.80 [0.51–1.24]; interaction P = 0.48) or all-cause mortality (beta-blocker user: 1.13 [0.78–1.64]; non-user: 0.89 [0.62–1.26]; interaction P = 0.35), in patients using beta-blockers. Aclidinium reduced annualized rate of moderate-to-severe COPD exacerbation (beta-blocker user: rate ratio 0.75 [95% CI 0.60–0.94, P = 0.013]; non-user: 0.79 [0.67–0.93, P = 0.005]), delayed time to first exacerbation, and improved lung function versus placebo. There was greater trough FEV 1 benefit in beta-blocker users versus non-users (least squares mean difference at 52 weeks: 111 mL [95% CI 74 mL–147 mL] versus 69 mL [42 mL–97 mL]; interaction P = 0.041). Conclusions This post hoc analysis supports long-acting anti-muscarinic use with concomitant beta-blockers in patients with moderate-to-very severe COPD and cardiovascular comorbidity. Trial registration: ClinicalTrials.gov, NCT01966107, Registered 16 October 2013, https://clinicaltrials.gov/ct2/show/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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".