Impact of COPD or Asthma on the Risk of Atrial Fibrillation: A Systematic Review and Meta-Analysis

Xue, Zhengbiao; Guo, Siyu; Ma, Jianyong; Zhu, Wengen; Zhou, Yue; Liu, Fuwei; Luo, Jun

doi:10.3389/fcvm.2022.872446

Cited by 6 publications

(3 citation statements)

References 35 publications

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“…Asthma and atrial brillation have in ammatory pathophysiological mechanisms in common which may help to explain this association [23]. Based on the random-effects model, investigators suggested that asthma (RR = 1.08, 95% CI: 1.04-1.12) was remarkably correlated with an elevated risk of atrial brillation, by utilizing meta-analysis included 14 studies [24]. In a large multiethnic cohort study (comprising 17,514 people) with 12.9 years follow-up, investigators have reported that patients with persistent, not intermittent, asthma had a higher risk of atrial brillation (hazard ratio, 1.49; 95% CI, 1.03-2.14) in comparison with those with non-asthmatic asthma [25].…”

Section: Discussionmentioning

confidence: 99%

Asthma and Cardiovascular Diseases: A Mendelian Randomization Study

Zhao,

2023

Preprint

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Background: A few of cohort studies declared a positive association between asthma and cardiovascular diseases, but the causal relationship is ambiguous. Objective: To evaluate the causal relationship between asthma, and cardiovascular diseases. Methods: We adopted a two-sample Mendelian randomization (MR) analysis, based on inverse variance weighting as the dominate method. Besides, we calculated effect estimates by using random-effects inverse-variance weighting method. Results：We found that the suggested proof of a postive association between asthma and two of ten cardiovascular diseases, including type 2 diabetes (OR = 1.09; 95% CI, 1.00–1.17; p=0.038), and atrial fibrillation (OR = 1.06; 95% CI, 1.01–1.10; p=0.011). No associations were discovered for coronary heart disease, hypertension, heart failure, transient ischemic attack, ischemic stroke, pulmonary embolism, peripheral artery disease, and myocardial infarction. Conclusions: A suggestive causal connection between asthma and the risk of type 2 diabetes or atrial fibrillation can be indicated in our research. Any convincing evidence had been failed to find to suggest that asthma is causally related to the risk of other cardiovascular diseases.

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Section: Discussionmentioning

confidence: 99%

Asthma and Cardiovascular Diseases: A Mendelian Randomization Study

Zhao,

2023

Preprint

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“…The first, which included 14 studies, examined the risk for developing AF in patients with COPD and asthma. The results showed that COPD (OR = 1.74; 95% CI: 1.70–1.79) and asthma (OR = 1.08; 95% CI: 1.04–1.12) were significantly associated with an increased risk of AF [ 12 ]. Twenty-one studies were selected for the second meta-analysis.…”

Section: Factors Associated With Developing Atrial Fibrillation In Co...mentioning

confidence: 99%

“…Twenty-one studies were selected for the second meta-analysis. The presence of COPD was significantly associated with the risk for developing AF (OR = 1.99; 95% CI: 1.46–2.70), ventricular arrhythmias (OR = 2.01; 95% CI: 1.42–2.85), and sudden cardiac death (OR = 1.68; 95% CI: 1.28–2.21) [ 12 ]. A number of pathogenetic features of COPD are currently known to contribute to the development and progression of the disease.…”

Section: Factors Associated With Developing Atrial Fibrillation In Co...mentioning

confidence: 99%

Early Detection of Atrial Fibrillation in Chronic Obstructive Pulmonary Disease Patients

Kotlyarov,

Lyubavin

2024

Medicina

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Atrial fibrillation (AF) is an important medical problem, as it significantly affects patients’ quality of life and prognosis. AF often complicates the course of chronic obstructive pulmonary disease (COPD), a widespread disease with heavy economic and social burdens. A growing body of evidence suggests multiple links between COPD and AF. This review considers the common pathogenetic mechanisms (chronic hypoxia, persistent inflammation, endothelial dysfunction, and myocardial remodeling) of these diseases and describes the main risk factors for the development of AF in patients with COPD. The most effective models based on clinical, laboratory, and functional indices are also described, which enable the identification of patients suffering from COPD with a high risk of AF development. Thus, AF in COPD patients is a frequent problem, and the search for new tools to identify patients at a high risk of AF among COPD patients remains an urgent medical problem.

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