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Classic and Novel Biomarkers as Potential Predictors of Ventricular Arrhythmias and Sudden Cardiac Death.
Shomanova, Zornitsa; Ohnewein, Bernhard; Schernthaner, Christiane; Höfer, Killian; Pogoda, Christian A; Frommeyer, Gerrit; Wernly, Bernhard; Brandt, Mathias C; Dieplinger, Anna-Maria; Reinecke, Holger; Hoppe, Uta C; Strohmer, Bernhard; Pistulli, Rudin; Motloch, Lukas J.
Afiliação
  • Shomanova Z; Department of Cardiology I, Coronary and Peripheral Vascular Disease, Heart Failure, University Hospital Muenster, Albert Schweitzer Campus 1, A1, 48149 Muenster, Germany.
  • Ohnewein B; Clinic II for Internal Medicine, Paracelsus Medical University, Muellner Hauptstrasse 48, 5020 Salzburg, Austria.
  • Schernthaner C; Clinic II for Internal Medicine, Paracelsus Medical University, Muellner Hauptstrasse 48, 5020 Salzburg, Austria.
  • Höfer K; Clinic II for Internal Medicine, Paracelsus Medical University, Muellner Hauptstrasse 48, 5020 Salzburg, Austria.
  • Pogoda CA; Department of Cardiology I, Coronary and Peripheral Vascular Disease, Heart Failure, University Hospital Muenster, Albert Schweitzer Campus 1, A1, 48149 Muenster, Germany.
  • Frommeyer G; Department of Cardiology II, Electrophysiology, University Hospital Muenster, Albert-Schweitzer-Campus 1, A1, D-48149 Muenster, Germany.
  • Wernly B; Clinic II for Internal Medicine, Paracelsus Medical University, Muellner Hauptstrasse 48, 5020 Salzburg, Austria.
  • Brandt MC; Clinic II for Internal Medicine, Paracelsus Medical University, Muellner Hauptstrasse 48, 5020 Salzburg, Austria.
  • Dieplinger AM; Institute for Nursing and Practice, Paracelsus Medical University, Muellner Strubergasse 21, 5020 Salzburg, Austria.
  • Reinecke H; Department of Cardiology I, Coronary and Peripheral Vascular Disease, Heart Failure, University Hospital Muenster, Albert Schweitzer Campus 1, A1, 48149 Muenster, Germany.
  • Hoppe UC; Clinic II for Internal Medicine, Paracelsus Medical University, Muellner Hauptstrasse 48, 5020 Salzburg, Austria.
  • Strohmer B; Clinic II for Internal Medicine, Paracelsus Medical University, Muellner Hauptstrasse 48, 5020 Salzburg, Austria.
  • Pistulli R; Department of Cardiology I, Coronary and Peripheral Vascular Disease, Heart Failure, University Hospital Muenster, Albert Schweitzer Campus 1, A1, 48149 Muenster, Germany.
  • Motloch LJ; Clinic II for Internal Medicine, Paracelsus Medical University, Muellner Hauptstrasse 48, 5020 Salzburg, Austria.
J Clin Med ; 9(2)2020 Feb 20.
Article em En | MEDLINE | ID: mdl-32093244
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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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article