Clinical Research Directory

An Evaluation of Concordance of Smartwatch ECG and One Clinical ECG and Comparison of The Two ECGS in Terms of Predictive Risks

The participant is being asked to take part in this trial, because the participant is a survivor of childhood cancer. Primary Objective To evaluate remote cardiomyopathy prediction via smartwatch and one clinical ECG and assess the concordance of the two ECGs in terms of predicted risk. Secondary Objective To build a novel predictive model solely on smartwatch ECG to predict risk for cardiomyopathy.

Biomarkers in SCOTland CardiomyopatHy Registry (Bio-SCOTCH)

Genetic cardiomyopathy is increasingly recognised and can lead to heart failure, arrhythmia and sudden cardiac death. Some gene positive patients have rapidly progressive disease with high rates of heart failure and cardiac transplantation, while others present with SCD. Other gene positive patients will never develop cardiomyopathy. At present, we cannot distinguish between these groups and rely on expensive and labour-intensive surveillance by electrocardiography, echocardiography and sometimes cardiac magnetic resonance imaging. This study will investigate existing and novel biomarkers (including blood, urine electrocardiographic and imaging) at various stages of disease in patients with a personal or family history of TTN, MYBPC3, LMNA, FLNC or DSP gene variant, which are known to cause cardiomyopathy.