Shehadeh Lina A, Liebovitch Larry S, Wood Mark A
Florida Atlantic University Center for Complex Systems and Brain Science, Department of Psychology, Boca Raton, USA.
J Cardiovasc Electrophysiol. 2002 Apr;13(4):303-9. doi: 10.1046/j.1540-8167.2002.00303.x.
The statistical measures commonly used to assess therapies for recurrent atrial arrhythmias (such as time to first recurrence) often assume a uniformly random pattern of arrhythmic events over time. However, the true temporal pattern of atrial arrhythmia recurrences is unknown. The aim of this study was to use linear and nonlinear analyses to characterize the temporal pattern of atrial arrhythmia recurrences in patients with implantable cardioverter defibrillators.
The time and date of atrial tachyarrhythmias recorded in 65 patients with combined atrial and ventricular defibrillators were used to construct a probability density function (PDF) and a model of a Poisson distribution of arrhythmic events for each patient. Average patient age was 66 +/- 10 years and follow-up was 7.8 +/- 4.8 months. A total of 10,759 episodes of atrial tachyarrhythmias were analyzed (range 43 to 618 episodes per patient). The PDF fit a power law distribution for all 65 patients, with an average r2 = 0.89 +/- 0.08. The PDF distribution differed significantly from the model Poisson distribution in 47 of 65 patients (P = 0.0002). Differences from the Poisson distribution were noted for patients both taking (30/43 patients; P < or = 0.015) and not taking (17/22 patients; P < or = 0.017) antiarrhythmic drugs. Median time between atrial arrhythmia detections for all 65 patients was 10.8 minutes.
In implantable cardioverter defibrillator patients, the temporal pattern of frequent recurrences of atrial tachyarrhythmias usually is characterized by a power law distribution. The unique statistical properties of this type of distribution should be considered in designing outcome measures for treatment of atrial tachyarrhythmias.
常用于评估复发性房性心律失常治疗效果的统计指标（如首次复发时间）通常假定心律失常事件随时间呈均匀随机分布。然而，房性心律失常复发的真实时间模式尚不清楚。本研究的目的是采用线性和非线性分析方法来描述植入式心脏复律除颤器患者房性心律失常复发的时间模式。
利用65例合并心房和心室除颤器患者记录的房性快速性心律失常的时间和日期，为每位患者构建概率密度函数（PDF）和心律失常事件的泊松分布模型。患者平均年龄为66±10岁，随访时间为7.8±4.8个月。共分析了10759次房性快速性心律失常发作（每位患者43至618次发作）。所有65例患者的PDF符合幂律分布，平均r2 = 0.89±0.08。65例患者中有47例的PDF分布与泊松分布模型有显著差异（P = 0.0002）。服用（30/43例患者；P≤0.015）和未服用（17/22例患者；P≤0.017）抗心律失常药物的患者均出现与泊松分布的差异。所有65例患者检测到房性心律失常的中位时间间隔为10.8分钟。
在植入式心脏复律除颤器患者中，房性快速性心律失常频繁复发的时间模式通常以幂律分布为特征。在设计房性快速性心律失常治疗的疗效评估指标时，应考虑这种分布类型的独特统计特性。
