College of Medicine and Public Health, Flinders University (D.D., K.T., S.S.S., E.V.J., D.C., C.S., J.X.Q., I.T., A.N.G.).
Australian Institute for Machine Learning (D.D.).
Circ Arrhythm Electrophysiol. 2024 Jul;17(7):e012684. doi: 10.1161/CIRCEP.123.012684. Epub 2024 Jun 28.
Atrial fibrillation (AF) and ventricular fibrillation (VF) episodes exhibit varying durations, with some spontaneously ending quickly while others persist. A quantitative framework to explain episode durations remains elusive. We hypothesized that observable self-terminating AF and VF episode lengths, whereby durations are known, would conform with a power law based on the ratio of system size and correlation length ([Formula: see text].
Using data from computer simulations (2-dimensional sheet and 3-dimensional left-atrial), human ischemic VF recordings (256-electrode sock, n=12 patients), and human AF recordings (64-electrode basket-catheter, n=9 patients; 16-electrode high definition-grid catheter, n=42 patients), conformance with a power law was assessed using the Akaike information criterion, Bayesian information criterion, coefficient of determination (R, significance=<0.05) and maximum likelihood estimation. We analyzed fibrillatory episode durations and [Formula: see text], computed by taking the ratio between system size ([Formula: see text], chamber/simulation size) and correlation length (xi, estimated from pairwise correlation coefficients over electrode/node distance).
In all computer models, the relationship between episode durations and [Formula: see text] was conformant with a power law (Aliev-Panfilov R: 0.90, <0.001; Courtemanche R: 0.91, <0.001; Luo-Rudy R: 0.61, <0.001). Observable clinical AF/VF durations were also conformant with a power law relationship (VF R: 0.86, <0.001; AF basket R: 0.91, <0.001; AF grid R: 0.92, <0.001). [Formula: see text] also differentiated between self-terminating and sustained episodes of AF and VF (<0.001; all systems), as well as paroxysmal versus persistent AF (<0.001). In comparison, other electrogram metrics showed no statistically significant differences (dominant frequency, Shannon Entropy, mean voltage, peak-peak voltage; >0.05).
Observable fibrillation episode durations are conformant with a power law based on system size and correlation length.
心房颤动(AF)和心室颤动(VF)发作的持续时间不同,有些发作迅速自发终止,而有些则持续存在。解释发作持续时间的定量框架仍然难以捉摸。我们假设可观察到的自终止 AF 和 VF 发作长度(已知持续时间)将符合基于系统大小和相关长度之比的幂律([Formula: see text]。
使用计算机模拟(二维片和三维左心房)、人类缺血性 VF 记录(256 电极袜,n=12 例患者)和人类 AF 记录(64 电极篮状导管,n=9 例患者;16 电极高清网格导管,n=42 例患者)的数据,使用赤池信息量准则、贝叶斯信息量准则、确定系数(R,显著性<0.05)和最大似然估计来评估符合幂律的情况。我们分析了纤维性发作持续时间和[Formula: see text],通过取系统大小([Formula: see text],腔室/模拟大小)与相关长度(xi,从电极/节点距离的成对相关系数中估计)的比值来计算。
在所有计算机模型中,发作持续时间与[Formula: see text]之间的关系都符合幂律(Aliev-Panfilov R:0.90,<0.001;Courtemanche R:0.91,<0.001;Luo-Rudy R:0.61,<0.001)。可观察到的临床 AF/VF 持续时间也符合幂律关系(VF R:0.86,<0.001;AF 篮状 R:0.91,<0.001;AF 网格 R:0.92,<0.001)。[Formula: see text]也能区分自终止和持续的 AF 和 VF 发作(<0.001;所有系统),以及阵发性与持续性 AF(<0.001)。相比之下,其他电描记图指标没有显示出统计学上的显著差异(主导频率、香农熵、平均电压、峰峰值电压;>0.05)。
可观察到的纤维性发作持续时间符合基于系统大小和相关长度的幂律。