Why the study?
Epicardial adipose tissue (EAT) has endocrine and paracrine functions and links to cardiovascular disease, but its association with incident AF detected by continuous ILR monitoring needed investigation.
Does epicardial adipose tissue volume assessed by CMR predict incident subclinical atrial fibrillation in elderly patients with cardiovascular risk factors?
Does epicardial adipose tissue volume assessed by CMR predict incident subclinical atrial fibrillation in elderly patients with cardiovascular risk factors?
Epicardial adipose tissue volume assessed by CMR is independently associated with the development of subclinical atrial fibrillation in elderly patients with cardiovascular risk factors.
EAT volume by CMR may identify higher subclinical AF risk in elderly patients; hypothesis-generating and requires prospective validation before clinical use.
Epicardial adipose tissue (EAT) has endocrine and paracrine functions and has been associated with metabolic and cardiovascular disease. This study aimed to investigate the association between EAT, determined by cardiac magnetic resonance imaging (CMR), and incident atrial fibrillation (AF) following long-term continuous heart rhythm monitoring by implantable loop recorder (ILR). This study is a sub-study of the LOOP study. In total, 203 participants without a history of AF received an ILR and underwent advanced CMR. All participants were at least 70 years of age at inclusion and had at least one of the following conditions: hypertension, diabetes, previous stroke, or heart failure. Volumetric measurements of atrial- and ventricular EAT were derived from CMR and the time to incident AF was subsequently determined. A total of 78 participants (38%) were diagnosed with subclinical AF during a median of 40 (37-42) months of continuous monitoring. In multivariable Cox regression analyses adjusted for age, sex, and various comorbidities, we found EAT indexed to body surface area to be independently associated with the time to AF with hazard ratios (95% confidence intervals) up to 2.93 (1.36-6.34); p = 0.01 when analyzing the risk of new-onset AF episodes lasting ≥ 24 h. Atrial EAT assessed by volumetric measurements on CMR images was significantly associated with the incident AF episodes as detected by ILR.
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Guldberg et al. (2024) studied this question.
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