Why the study?
Traditional criteria poorly identify SCD risk in DCM, and available gene-specific risk scores fail to incorporate novel predictive methods like cardiac magnetic resonance tissue characterization.
This ESC scientific statement outlines the need for novel SCD risk stratification models in DCM that incorporate genetic data and CMR tissue characterization.
Challenges LVEF-centric SCD risk assessment in DCM; supports development of integrated genetic-CMR stratification models.
The risk of sudden cardiac death (SCD) in the general population of patients with dilated cardiomyopathy (DCM) has progressively declined with the implementation of novel medical strategies. However, still cases occur in young individuals and the challenge of risk stratification remains unsolved. Traditional criteria, including left ventricular ejection fraction, have demonstrated their profound weakness to identify subjects at high risk of SCD in this specific context. The increasing availability of genetic information has allowed identification of certain genotypes with a high arrhythmic risk that deserve a more individualized approach. Recent European guidelines recognized the contribution of genetic information in clinical decision-making. Gene-specific risk stratification tools have been developed, and in some cases externally validated, which can support clinicians in the decisions on SCD primary prevention interventions. However, they are generally based on basic variables, whereas the growing amount of knowledge on novel methods for risk prediction, and in particular the solid data on the predictive value of cardiac magnetic resonance tissue characterization (i.e. late gadolinium enhancement) are not incorporated in available scores, and more in general, are not systematically part of the clinical work-up. In this scientific statement, we summarized the current state of the art concerning the risk stratification of SCD in DCM, with particular emphasis on genetic forms, highlight the weaknesses of the available strategies and the potential actions needed for improving them. Available risk stratification tools are discussed, and methodologies that should be incorporated in future prognostication models are summarized. Lastly, a point-by-point summary of the key prerequisites for developing the future arrhythmogenic risk scores in patients with DCM is provided.
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Gigli et al. (2025) studied this question.
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