Key result
Classic and novel circulating biomarkers aid risk stratification for ventricular arrhythmias and sudden cardiac death.
Why the study?
Sudden cardiac death induced by ventricular arrhythmias is a leading cause of cardiovascular mortality, but effective tools for risk assessment and risk-stratification strategies are still missing.
Do classic and novel biomarkers predict ventricular arrhythmias and sudden cardiac death in high-risk cardiac populations?
Do classic and novel biomarkers predict ventricular arrhythmias and sudden cardiac death in high-risk cardiac populations?
Answers are grounded in this paper and cite their sources.
This review highlights the evolving role of specific inflammatory, neurohormonal, and structural biomarkers in augmenting clinical risk stratification for sudden cardiac death.
Sudden cardiac death (SCD), most often induced by ventricular arrhythmias, is one of the main reasons for cardiovascular-related mortality. While coronary artery disease remains the leading cause of SCD, other pathologies like cardiomyopathies and, especially in the younger population, genetic disorders, are linked to arrhythmia-related mortality. Despite many efforts to enhance the efficiency of risk-stratification strategies, effective tools for risk assessment are still missing. Biomarkers have a major impact on clinical practice in various cardiac pathologies. While classic biomarkers like brain natriuretic peptide (BNP) and troponins are integrated into daily clinical practice, inflammatory biomarkers may also be helpful for risk assessment. Indeed, several trials investigated their application for the prediction of arrhythmic events indicating promising results. Furthermore, in recent years, active research efforts have brought forward an increasingly large number of "novel and alternative" candidate markers of various pathophysiological origins. Investigations of these promising biological compounds have revealed encouraging results when evaluating the prediction of arrhythmic events. To elucidate this issue, we review current literature dealing with this topic. We highlight the potential of "classic" but also "novel" biomarkers as promising tools for arrhythmia prediction, which in the future might be integrated into clinical practice.
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Shomanova et al. (2020) conducted a review in Ventricular arrhythmias and sudden cardiac death. Classic and novel cardiac biomarkers (e.g., BNP, troponin, CRP, IL-6, sST2, galectin-3) was evaluated on Prediction of ventricular arrhythmias and sudden cardiac death. Both classic biomarkers (like BNP, troponins, and CRP) and novel biomarkers (such as sST2 and galectin-3) show potential for risk stratification and prediction of ventricular arrhythmias and sudden cardiac death.
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