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Predicting the risk of sudden cardiac death

机译:预测心脏猝死的风险

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Sudden cardiac death (SCD) is the result of a change of cardiac activity from normal (typically sinus) rhythm to a rhythm that does not pump adequate blood to the brain. The most common rhythms leading to SCD are ventricular tachycardia (VT) or ventricular fibrillation (VF). These result from an accelerated ventricular pacemaker or ventricular reentrant waves. Despite significant efforts to develop accurate predictors for the risk of SCD, current methods for risk stratification still need to be improved. In this article we briefly review current approaches to risk stratification. Then we discuss the mathematical basis for dynamical transitions (called bifurcations) that may lead to VT and VF. One mechanism for transition to VT or VF involves a perturbation by a premature ventricular complex (PVC) during sinus rhythm. We describe the main mechanisms of PVCs (reentry, independent pacemakers and abnormal depolarizations). An emerging approach to risk stratification for SCD involves the development of individualized dynamical models of a patient based on measured anatomy and physiology. Careful analysis and modelling of dynamics of ventricular arrhythmia on an individual basis will be essential in order to improve risk stratification for SCD and to lay a foundation for personalized (precision) medicine in cardiology.
机译:心脏性猝死(SCD)是心脏活动从正常(通常为窦性)节律变为无法向大脑泵送足够血液的节律的结果。导致SCD的最常见节律是室性心动过速(VT)或室性纤颤(VF)。这些起因于心室起搏器加速或心室折返波。尽管为开发准确的SCD风险预测器做出了巨大努力,但仍需要改进当前的风险分层方法。在本文中,我们简要回顾了当前的风险分层方法。然后,我们讨论可能导致VT和VF的动态过渡(称为分叉)的数学基础。过渡到VT或VF的一种机制涉及在窦性心律期间过早的心室复合体(PVC)引起的摄动。我们描述了PVC的主要机制(折返,独立的起搏器和异常去极化)。一种用于SCD风险分层的新兴方法涉及根据测量的解剖学和生理学开发患者的个体动力学模型。为了改善SCD的风险分层并为心脏病学中的个性化(精密)医学打下基础,对个人心律失常的动态进行仔细的分析和建模将至关重要。

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