Background: The global burden of atrial fibrillation (AF) and diabetes mellitus (DM) is constantly rising, leading to an increasing healthcare burden of stroke. AF often remains undiagnosed due to the occurrence in an asymptomatic, silent form, i.e., silent AF (SAF). The study aims to evaluate the relationships between DM and AF prevalence using a mobile long-term continuous ECG telemonitoring vest in a representative Polish and European population ≥ 65 years for detection of AF, symptomatic or silent.
Methods: A representative sample of 3014 participants from the cross-sectional NOMED-AF study was enrolled in the analyses (mean age 77.5, 49.1% female): 881 (29.2%) were diagnosed with DM. AF was screened using a telemonitoring vest for a mean of 21.9 ± 9.1days.
Results: Overall, AF was reported in 680 (22.6%) of the whole study population. AF prevalence was higher among subjects with concomitant DM (DM+) versus those without DM (DM-) [25%, 95% CI 22.5-27.8% vs 17%; 95% CI 15.4-18.5% respectively, p < 0.001]. DM patients were commonly associated with SAF [9%; 95% CI 7.9-11.4 vs 7%; 95% CI 5.6-7.5 respectively, p < 0.001], and persistent/permanent AF [12.2%; 95% CI 10.3-14.3 vs 6.9%; 95% CI 5.9-8.1 respectively, p < 0.001] compared to subjects without DM. The prolonged screening was associated with a higher percentage of newly established AF diagnosis in DM+ vs DM- patients (5% vs 4.5% respectively, p < 0.001). In addition to shared risk factors, DM+ subjects were associated with different AF and SAF independent risk factors compared to DM- individuals, including thyroid disease, peripheral/systemic thromboembolism, hypertension, physical activity and prior percutaneous coronary intervention/coronary artery bypass graft surgery.
Conclusions: AF affects 1 out of 4 subjects with concomitant DM. The higher prevalence of AF and SAF among DM subjects than those without DM highlights the necessity of active AF screening specific AF risk factors assessment amongst the diabetic population.
Trial Registration: NCT03243474.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8228888 | PMC |
http://dx.doi.org/10.1186/s12933-021-01318-2 | DOI Listing |
Heart Rhythm O2
December 2024
Division of Cardiology, San Antonio Military Medical Center, San Antonio, Texas.
Background: Atrial fibrillation (AF) has a significant impact on health and quality of life. The relationship of AF burden and temporal patterns of AF on patient symptoms, outcomes, and healthcare utilization is unknown. Insertable cardiac monitors (ICMs) are a strategic and as yet untapped, tool to investigate these relationships.
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December 2024
Cardiology Department, Bichat Hospital, Paris, France.
Background: Detection of atrial tachyarrhythmias (ATA) on long-term electrocardiogram (ECG) recordings is a prerequisite to reduce ATA-related adverse events. However, the burden of editing massive ECG data is not sustainable. Deep learning (DL) algorithms provide improved performances on resting ECG databases.
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December 2024
Department of Cardiology and Nephrology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Background: We previously reported the relationship between first-pass pulmonary vein isolation (FPI) and pulmonary vein isolation (PVI) durability in ablation index-guided atrial fibrillation ablation. Obesity is a worsening factor for atrial tachyarrhythmia (AT) recurrence. However, the impact of obesity on FPI has been scarcely reported.
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December 2024
Department of Electrophysiology, North Mississippi Medical Center, Tupelo, Mississippi.
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