更新理论是表征哺乳动物心脏颤相奇异再生的通用定量框架。

D. Dharmaprani, M. Schopp, P. Kuklik, D. Chapman, A. Lahiri, L. Dykes, F. Xiong, M. Aguilar, B. Strauss, L. Mitchell, K. Pope, C. Meyer, S. Willems, F. Akar, S. Nattel, A. McGavigan, A. Ganesan
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引用次数: 26

摘要

尽管经过了一个世纪的研究,但没有明确的定量框架来模拟心脏颤动中相奇点(PS)连续形成和破坏的基本过程。我们假设纤颤中PS的形成/破坏可以建模为自再生泊松更新过程,产生由每个系统的主要特性定义的恒定速率参数控制的事件间时间的指数分布。方法对5种系统sps的形成/破坏进行研究:(1)人持续性心房颤动(n=20),(2)速搏羊心房颤动(n=5),(3)大鼠心房颤动(n=4),(5)大鼠心室颤动(n=11),(5)计算机模拟心房颤动。利用最大熵理论计算的指数概率分布函数拟合PS的时间-事件数据,确定PS的形成和破坏速率(λf/λd)。系统回顾与文献源数据进行交叉验证。结果在所有系统中,PS寿命和信息传递时间与潜在的泊松更新过程一致(人类:λf, 4.2%/ms±1.1 [95% CI, 4.0 ~ 5.0], λd, 4.6%/ms±1.5 [95% CI, 4.3 ~ 4.9];羊:λf, 4.4% (95% CI, 4.1 - -4.7),女士/λd, 4.6% /女士±1.4 (95% CI, 4.3 - -4.8);大鼠心房颤动:λf, 33%/ms±8.8 [95% CI, 11-55], λd, 38%/ms [95% CI, 22-55];大鼠心室颤动:λf, 38%/ms±24 [95% CI, 22-55], λf, 46%/ms±21 [95% CI, 31-60];模拟纤颤λd, 6.6-8.97%/ms [95% CI, 4.1-6.7];所有病例R2≥0.90)。通过系统评价确定的所有PS分布也符合潜在的泊松更新过程。结论波松更新理论提供了一个进化上保存的通用框架来量化心房纤颤旋转事件的形成和破坏。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Renewal Theory as a Universal Quantitative Framework to Characterize Phase Singularity Regeneration in Mammalian Cardiac Fibrillation.
BACKGROUND Despite a century of research, no clear quantitative framework exists to model the fundamental processes responsible for the continuous formation and destruction of phase singularities (PS) in cardiac fibrillation. We hypothesized PS formation/destruction in fibrillation could be modeled as self-regenerating Poisson renewal processes, producing exponential distributions of interevent times governed by constant rate parameters defined by the prevailing properties of each system. METHODS PS formation/destruction were studied in 5 systems: (1) human persistent atrial fibrillation (n=20), (2) tachypaced sheep atrial fibrillation (n=5), (3) rat atrial fibrillation (n=4), (5) rat ventricular fibrillation (n=11), and (5) computer-simulated fibrillation. PS time-to-event data were fitted by exponential probability distribution functions computed using maximum entropy theory, and rates of PS formation and destruction (λf/λd) determined. A systematic review was conducted to cross-validate with source data from literature. RESULTS In all systems, PS lifetime and interformation times were consistent with underlying Poisson renewal processes (human: λf, 4.2%/ms±1.1 [95% CI, 4.0-5.0], λd, 4.6%/ms±1.5 [95% CI, 4.3-4.9]; sheep: λf, 4.4%/ms [95% CI, 4.1-4.7], λd, 4.6%/ms±1.4 [95% CI, 4.3-4.8]; rat atrial fibrillation: λf, 33%/ms±8.8 [95% CI, 11-55], λd, 38%/ms [95% CI, 22-55]; rat ventricular fibrillation: λf, 38%/ms±24 [95% CI, 22-55], λf, 46%/ms±21 [95% CI, 31-60]; simulated fibrillation λd, 6.6-8.97%/ms [95% CI, 4.1-6.7]; R2≥0.90 in all cases). All PS distributions identified through systematic review were also consistent with an underlying Poisson renewal process. CONCLUSIONS Poisson renewal theory provides an evolutionarily preserved universal framework to quantify formation and destruction of rotational events in cardiac fibrillation.
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