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Introduction: Atrial fibrillation (AF), affecting 3% of the US adults, is the most common arrhythmia. While ambulatory electrocardiogram (ECG) monitoring is essential for AF detection, conventional technologies have diagnostic limitations due to AF's sporadic nature. ECG patches offer extended monitoring periods, though their effectiveness is primarily limited by deteriorating skin-electrode contact rather than battery or memory constraints.
Objectives: This analysis reports our experience with the Zio ECG patch (iRhythm, San Francisco, CA) in 256 AF patients.
Method: We analyzed human and technical factors and their association with ECG recording duration using previously recorded data which employed the ECG patch as a reference. Descriptive statistics and logistic regression were used to identify associations.
Results: Body mass index (BMI) was found to be an independent predictor of poorer compliance in a dose-dependent manner (B = -0.046, OR = 0.955, 95% CI: 0.916-0.996, p = 0.033). Loss of adhesive was the primary reason for poor compliance (n = 25; 11%). These findings can guide researchers and clinicians in determining the appropriateness of a 14-day ECG patch based on expected wear time and patient compliance.
Conclusion: BMI significantly impacts ECG patch compliance, primarily through adhesive failures. These findings indicate the need for improved adhesive technologies for higher BMI patients. Future device development should prioritize maintaining electrode-skin contact across diverse patient populations.
Trial Registration: ClinicalTrials.gov Identifier: NCT04267133.
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http://dx.doi.org/10.1111/anec.70068 | DOI Listing |
Respir Med
September 2025
University of Minnesota, Minneapolis, MN, USA.
Background: Heart rate variability (HRV) is a measure of autonomic function that has been associated with worse lung function and worse respiratory health. Using data from a community-based cohort, we aimed to test if HRV is associated with lung function and self-reported chronic lung disease (CLD).
Methods: The Atherosclerosis Risk in Communities (ARIC) study is a community-based cohort that collected HRV measurements from 14-day continuous ECG patches and self-reported CLD at visit 6 (2016-2017).
Front Neurol
August 2025
Department of Neurology, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan.
Objective: Stroke caused by atrial fibrillation (AF) is associated with high mortality and severe morbidity. Screening patients for AF may facilitate early initiation of anticoagulant therapy and prevent recurrent stroke; therefore, strategies to effectively detect AF in stroke patients are important.
Methods: This prospective multicenter study was conducted between April 27, 2020 and March 31, 2021 at seven sites in Japan, as a substudy of the STABLED trial, a multicenter prospective randomized study to evaluate the efficacy and safety of catheter ablation with anticoagulant therapy using edoxaban in patients with ischemic stroke and AF.
JAMA
August 2025
Clinical Trial Service Unit and Epidemiological Studies Unit, Oxford Population Health, University of Oxford, Oxford, United Kingdom.
Importance: Screening for atrial fibrillation (AF) might reduce stroke if it increases long-term AF detection and anticoagulation use compared with usual care.
Objective: To investigate the long-term efficacy of AF screening in older individuals at moderate to high risk of stroke using 14-day, patch-based continuous ambulatory electrocardiogram (ECG) monitoring.
Design, Setting, And Participants: A parallel-group, unblinded, remote randomized clinical trial recruiting from 27 UK primary care practices from May 2, 2019, to February 28, 2022.
J Cardiovasc Magn Reson
August 2025
Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA; Robert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, Virginia, USA; Radiology, University of Virginia, Charlottesville, Virginia, USA. Electronic address:
Background: Epicardial adipose tissue (EAT) plays a central role in metabolic heart disease through local inflammatory signaling. In obesity, EAT undergoes pathological remodeling marked by increased adipocyte size, saturated fatty acids (SFAs), macrophage infiltration, and inflammatory cytokine secretion. Proton density fat fraction (PDFF), T, and the fatty acid composition (FAC) (the amount of SFAs, monounsaturated fatty acids [MUFAs], and polyunsaturated fatty acids [PUFAs]) are promising metrics of EAT quality, yet their role as biomarkers of proinflammatory EAT has not been established.
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August 2025
Karolinska Institutet, Department of Clinical Sciences, Danderyd University Hospital, Stockholm, Sweden.
Background And Aims: Atrial fibrillation (AF), often asymptomatic and underdiagnosed, is an independent risk factor for ischemic stroke. A knowledge gap remains regarding the optimal target population, and method to use for AF screening. We aimed to test whether screening for AF using a machine learning-based risk-prediction model (RPM) and 14-day continuous patch electrocardiogram (ECG) (Philips ePatch) in high-risk individuals ≥65 years is more effective than standard care.
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