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 FEV1 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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".