Key result
Heartprint analysis of VPC dynamics may identify arrhythmia mechanisms and improve SCD risk stratification.
Analyzing the dynamical properties of ventricular premature complexes using heartprints may offer a novel, individualized approach to risk stratification for tachyarrhythmic sudden cardiac death.
Heartprint VPC analysis may aid mechanism identification and SCD stratification; leaves open clinical utility pending prospective validation.
Developing better methods for risk stratification for tachyarrhythmic sudden cardiac remains a major challenge for physicians and scientists. Since the transition from sinus rhythm to ventricular tachycardia/fibrillation happens by different mechanisms in different people, it is unrealistic to think that a single measure will be adequate to provide a good index for risk stratification. We analyze the dynamical properties of ventricular premature complexes over 24 h in an effort to understand the underlying mechanisms of ventricular arrhythmias and to better understand the arrhythmias that occur in individual patients. Two dimensional density plots, called heartprints, correlate characteristic features of the dynamics of premature ventricular complexes and the sinus rate. Heartprints show distinctive characteristics in individual patients. Based on a better understanding of the natures of transitions from sinus rhythm to sudden cardiac and the mechanisms of arrhythmia prior to cardiac arrest, it should be possible to develop better methods for risk stratification.
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Glass et al. (2011) conducted a review in Cardiac arrhythmias and sudden cardiac death. Heartprint analysis was evaluated. Analyzing the dynamical properties of ventricular premature complexes using heartprints may help identify specific physiological mechanisms underlying arrhythmias and improve risk stratification for sudden cardiac death.
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