Obesity, rheumatoid arthritis (RA) and gene-specific dilated cardiomyopathy (DCM) are common medical conditions. Small-scale studies have shown that these are associated with proarrhythmic changes on 12-lead electrocardiogram (ECG) and a higher risk of sudden cardiac death (SCD). However, these studies lack the deep electrophysiological phenotyping required to explain their observations. Electrocardiographic imaging (ECGi) is a non-invasive alternative to 12-lead ECG, by which epicardial potentials, electrograms and activation sequences can be recorded to study adverse electrophysiological modelling in greater depth and on a more focussed, subject-specific scale. Therefore, this study proposes to better define the risk of arrhythmia and understand the underlying adverse electrophysiological remodelling conferring this risk in three groups (obesity, RA and DCM). Firstly, data from two large, national repositories will be analysed to identify associations between routine clinical biomarkers and proarrhythmic 12-lead ECG parameters, to confirm adverse electrophysiological remodelling and a higher risk of arrhythmia. Secondly,ECGi will be performed before and after planned clinical intervention in obese and RA patients, and at baseline in titin-truncating variant (TTNtv)-positive and -negative DCM patients, to characterise the specific and potentially reversible conduction and repolarisation abnormalities that may underlie increased arrhythmic risk.
Age range
18 Years – 75 Years
Sex
ALL
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A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Activation-recovery intervals
Timeframe: 30 months approximately ie at the end of the study
Conduction velocity
Timeframe: 30 months approximately ie at the end of the study