Denham Nathan C, Pearman Charles M, Madders George W P, Smith Charlotte E R, Trafford Andrew W, Dibb Katharine M
Unit of Cardiac Physiology, Institute of Cardiovascular Sciences, Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, United Kingdom.
Front Physiol. 2021 Jun 15;12:690897. doi: 10.3389/fphys.2021.690897. eCollection 2021.
Large animal models play an important role in our understanding of the pathophysiology of atrial fibrillation (AF). Our aim was to determine whether prospectively collected baseline variables could predict the development of sustained AF in sheep, thereby reducing the number of animals required in future studies. Our hypothesis was that the relationship between atrial dimensions, refractory periods and conduction velocity (otherwise known as the critical mass hypothesis) could be used for the first time to predict the development of sustained AF.
Healthy adult Welsh mountain sheep underwent a baseline electrophysiology study followed by implantation of a neurostimulator connected via an endocardial pacing lead to the right atrial appendage. The device was programmed to deliver intermittent 50 Hz bursts of 30 s duration over an 8-week period whilst sheep were monitored for AF.
Eighteen sheep completed the protocol, of which 28% developed sustained AF. Logistic regression analysis showed only fibrillation number (calculated using the critical mass hypothesis as the left atrial diameter divided by the product of atrial conduction velocity and effective refractory period) was associated with an increased likelihood of developing sustained AF (Ln Odds Ratio 26.1 [95% confidence intervals 0.2-52.0] = 0.048). A receiver-operator characteristic curve showed this could be used to predict which sheep developed sustained AF (C-statistic 0.82 [95% confidence intervals 0.59-1.04] = 0.04).
The critical mass hypothesis can be used to predict sustained AF in a tachypaced ovine model. These findings can be used to optimise the design of future studies involving large animals.
大型动物模型在我们对心房颤动(AF)病理生理学的理解中起着重要作用。我们的目的是确定前瞻性收集的基线变量是否能够预测绵羊持续性AF的发生,从而减少未来研究所需的动物数量。我们的假设是,心房尺寸、不应期和传导速度之间的关系(即所谓的临界质量假说)可首次用于预测持续性AF的发生。
健康成年威尔士山地绵羊接受基线电生理研究,随后植入通过心内膜起搏导线连接到右心耳的神经刺激器。在8周的时间里,该装置被编程为每隔30秒发送持续50赫兹的间歇性脉冲串,同时监测绵羊是否发生AF。
18只绵羊完成了实验方案,其中28%发生了持续性AF。逻辑回归分析显示,只有颤动数(使用临界质量假说计算,即左心房直径除以心房传导速度与有效不应期的乘积)与发生持续性AF的可能性增加相关(对数优势比26.1 [95%置信区间0.2 - 52.0] = 0.048)。受试者工作特征曲线显示,这可用于预测哪些绵羊发生了持续性AF(C统计量0.82 [95%置信区间0.59 - 1.04] = 0.04)。
临界质量假说可用于预测快速起搏绵羊模型中的持续性AF。这些发现可用于优化未来涉及大型动物的研究设计。