Arrhythmia risk associated with the use of bronchodilators in patients with chronic obstructive pulmonary disease : cohort studies and methodological issues
Bibliographic record
Abstract
Whereas first line therapy for chronic obstructive pulmonary disease (COPD) usually includes a short-acting bronchodilator, there are suggestions that these agents may increase the risk of cardiac arrhythmias. In this thesis, we first assessed the risks associated with short-acting beta-agonists (SABA), long-acting beta-agonists (LABA), ipratropium bromide (IB), and methyl xanthines (MX) within a cohort of COPD patients using the health databases of Saskatchewan. In order to confirm these findings and to address some methodological issues we then replicated this analysis within a larger cohort of patients using the health databases of Quebec. Our first study cohort consisted of 6,018 adults aged 55 and older, newly treated with bronchodilator medications. We found that new users of both IB and LABA increased the risk of arrhythmia (RR 2.39 [95% CI 1.42-4.05] and (RR 4.55 [95% CI 1.43-14.45] respectively). When the cohort was restricted by excluding subjects who had recently either been hospitalised or experienced an exacerbation, the elevated risk associated with the new use of IB persisted (RR 3.65 [95% CI 1.72-7.74]), an effect was detected with new use of MX (RR 5.17 [95% CI 1.38-19.30]), but there was insufficient power to detect an effect associated with the new use of LABA. Due to both power issues and the limited availability of LABA within the Saskatchewan data, we replicated the analysis in a larger new-user cohort of 76,661 Quebec adults aged 67 and over. This study confirmed our earlier results, with an elevated risk of arrhythmia associated with the new use of both IB and LABA (RR 1.43 [95% CI 1.08-1.88]) and (RR 1.54 [95% CI 1.00-2.36]) respectively, as well as with new use of SABA (RR 1.28 [95% CI 1.02-1.61]). Finally, using marginal structural models, we demonstrated that both exacerbations of COPD as well as minor non-event arrhythmias were moderate time-dependent confounders within this setting. In conclusion, we found that new use of bronchodilators in COPD, particularly IB and LABA, was associated with an increase in the risk of cardiac arrhythmias. We also demonstrated the method by which the time-dependent confounder status of specific model covariates may be evaluated.
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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 | 0.157 | 0.266 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.010 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.003 | 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 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".