TY - JOUR
T1 - Classic and novel biomarkers as potential predictors of ventricular arrhythmias and sudden cardiac death
AU - Shomanova, Zornitsa
AU - Ohnewein, Bernhard
AU - Schernthaner, Christiane
AU - Höfer, Killian
AU - Pogoda, Christian A.
AU - Frommeyer, Gerrit
AU - Wernly, Bernhard
AU - Brandt, Mathias C.
AU - Dieplinger, Anna Maria
AU - Reinecke, Holger
AU - Hoppe, Uta C.
AU - Strohmer, Bernhard
AU - Pistulli, Rudin
AU - Motloch, Lukas J.
N1 - Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2020/2
Y1 - 2020/2
N2 - 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.
AB - 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.
KW - Biomarkers
KW - Cardiac biomarkers
KW - Heart failure
KW - Sudden cardiac death
KW - Ventricular arrhythmia
KW - Ventricular tachycardia
UR - http://www.scopus.com/inward/record.url?scp=85097165532&partnerID=8YFLogxK
U2 - 10.3390/jcm9020578
DO - 10.3390/jcm9020578
M3 - Review article
AN - SCOPUS:85097165532
SN - 2077-0383
VL - 9
JO - Journal of Clinical Medicine
JF - Journal of Clinical Medicine
IS - 2
M1 - 578
ER -