Background: The arrhythmic risk of patients with myocarditis overtime remains poorly known.

Electroanatomical ventricular mapping may be a useful tool to identify patients at greater arrhythmic risk.

Conclusions: Individuals with ER display an increased TDR that may be related to an increased arrhythmic risk.

Enhanced temporal and spatial variability in cardiac repolarization has been related to increased arrhythmic risk both clinically and experimentally.

However, the variability and complexity of repolarization mechanisms make the use of cellular biomarkers to predict arrhythmic risk preclinically challenging.

Prospective studies are needed to evaluate the role of mineral abnormalities in autonomic imbalance and arrhythmic risk in HD patients.

Beat-to-beat variability in repolarization (BVR) has been proposed as an arrhythmic risk marker for disease and pharmacological action.

Methods: Genotype-phenotype segregation in CASQ2-CPVT families was assessed, and the impact of genotype on arrhythmic risk was evaluated using Cox regression models.

This study provides quantitative insights into the sensitivity of preclinical biomarkers of arrhythmic risk to variations in ionic current properties in humans.

Conclusions: HR reduction following exercise identifies LQT1 patients at high or low arrhythmic risk, independently of β-blocker therapy, and contributes to risk stratification.

These processes may explain the increased arrhythmic risk in kidney disease and aid in identifying patients who are at higher risk for sudden cardiac death.

Improved insight into the inheritance patterns, arrhythmic risks, and molecular mechanisms of CASQ2-CPVT was sought through an international multicenter collaboration.

Arrhythmic risk stratification was tested in 76.4% of the centres.