ArticleBMC geriatrics2022
Prevalence and factors associated with atrial fibrillation in older patients with obstructive sleep apnea.
Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Recent-onset atrial fibrillation: challenges and opportunities.European heart journal · 2026Review
- Systematic and opportunistic screening for atrial fibrillation and other arrhythmias in patients with obstructive sleep apnea: a prospective, single-center, cross-sectional study.Therapeutic advances in chronic disease · 2025Article
- Predicting Postoperative Atrial Fibrillation Using HARMS2-AF Score.Anatolian journal of cardiology · 2024Article
- Sex Differences in the Expression of Cardiac Remodeling and Inflammatory Cytokines in Patients with Obstructive Sleep Apnea and Atrial Fibrillation.Biomedicines · 2024Article
- Atrial Fibrillation in Obstructive Sleep Apnea Patients: Mechanisms, Risk Factors, and Management Strategies.Cureus · 2023Review
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Authors and funding
19 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study sought to identify the prevalence and factors associated with atrial fibrillation (AF) in older patients with obstructive sleep apnea (OSA) in China.
methodsThis was an explorative cross-sectional study. Between January 2015 and October 2017, we continuously recruited 1285 older patients with OSA who underwent overnight polysomnography from sleep centers of multiple hospitals. They were assessed using 12-lead ECG or 24-h dynamic ECG, and their baseline demographics, clinical characteristics, sleep parameters, and medical history were determined. Multivariate binary logistic regression analysis was used to investigate the factors related to AF in these older patients with OSA.
resultsThe clinician classified 122 (9.5%) patients as having AF. The prevalence of AF significantly increased with age (P < 0.05) but did not significantly differ between the mild, moderate, and severe OSA groups. Additionally, the prevalence of paroxysmal AF was 7.2% among the overall study population, and it increased with OSA severity or advanced age (P < 0.05). Persistent AF was noted in 2.3% participants, and the prevalence also increased with age. The logistic regression analysis showed that age (OR = 1.054, 95%CI: 1.027-1.018, P < 0.001), history of drinking (OR = 1.752, 95%CI: 1.070-2.867, P < 0.05), chronic heart disease (OR = 1.778, 95%CI: 1.156-2.736, P < 0.01), diabetes mellitus (OR = 1.792, 95%CI: 1.183-2.713, P < 0.01), and reduced diastolic function (OR = 2.373, 95%CI = 1.298-4.337, P < 0.01) were relevant to AF among participants with OSA.
conclusionThe prevalence of AF is significantly common in older patients with OSA. Age, history of drinking, chronic heart disease, diabetes mellitus, and reduced diastolic function are independently related to AF in these patients.
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