Ravikumar Vasanth, Kong Xiangzhen, Tan Nick Y, Christopolous George, Ladas Thomas P, Jiang Zhi, Tri Jason A, Sugrue Alan M, Asirvatham Samuel J, DeSimone Christopher V, Tolkacheva Elena G
Department of Electrical Engineering, University of Minnesota, Minneapolis, USA.
Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
J Interv Card Electrophysiol. 2023 Jul 11. doi: 10.1007/s10840-023-01606-9.
Ventricular fibrillation (VF) is a lethal cardiac arrhythmia that is a significant cause of sudden cardiac death. Comprehensive studies of spatiotemporal characteristics of VF in situ are difficult to perform with current mapping systems and catheter technology.
The goal of this study was to develop a computational approach to characterize VF using a commercially available technology in a large animal model. Prior data suggests that characterization of spatiotemporal organization of electrical activity during VF can be used to provide better mechanistic understanding and potential ablation targets to modify VF and its substrate. We therefore evaluated intracardiac electrograms during biventricular mapping of the endocardium (ENDO) and epicardium (EPI) in acute canine studies.
To develop thresholds for organized and disorganized activity, a linear discriminant analysis (LDA)-based approach was performed to the known organized and disorganized activities recorded in ex vivo Langendorff-perfused rat and rabbit hearts using optical mapping experiments. Several frequency- and time-domain approaches were used as individual and paired features to identify the optimal thresholds for the LDA approach. Subsequently, VF was sequentially mapped in 4 canine hearts, using the CARTO mapping system with a multipolar mapping catheter in the ENDO left and right ventricles and EPI to capture the progression of VF at 3 discrete post-induction time intervals: VF period 1 (just after induction of VF to 15 min), VF period 2 (15 to 30 min), and VF period 3 (30 to 45 min). The developed LDA model, cycle lengths (CL), and regularity indices (RI) were applied to all recorded intracardiac electrograms to quantify the spatiotemporal organization of VF in canine hearts.
We demonstrated the presence of organized activity in the EPI as VF progresses, in contrary to the ENDO, where the activity stays disorganized. The shortest CL always occurred in the ENDO, especially the RV, indicating a faster VF activity. The highest RI was found in the EPI in all hearts for all VF stages, indicating spatiotemporal consistency of RR intervals.
We identified electrical organization and spatiotemporal differences throughout VF in canine hearts from induction to asystole. Notably, the RV ENDO is characterized by a high level of disorganization and faster VF frequency. In contrast, EPI has a high spatiotemporal organization of VF and consistently long RR intervals.
心室颤动(VF)是一种致命的心律失常,是心源性猝死的重要原因。利用当前的标测系统和导管技术难以对原位VF的时空特征进行全面研究。
本研究的目的是开发一种计算方法,在大型动物模型中使用市售技术来表征VF。先前的数据表明,VF期间电活动的时空组织特征可用于更好地理解其机制,并为改变VF及其基质提供潜在的消融靶点。因此,我们在急性犬类研究中评估了心内膜(ENDO)和心外膜(EPI)双心室标测期间的心内电图。
为了确定有组织和无组织活动的阈值,我们采用基于线性判别分析(LDA)的方法,对使用光学标测实验在离体Langendorff灌注大鼠和兔心脏中记录的已知有组织和无组织活动进行分析。使用几种频域和时域方法作为单独和配对特征,以确定LDA方法的最佳阈值。随后,使用CARTO标测系统和多极标测导管在4只犬心脏中对VF进行顺序标测,在左心室和右心室的心内膜以及心外膜进行标测,以在3个离散的诱导后时间间隔捕获VF的进展:VF期1(VF诱导后至15分钟)、VF期2(15至30分钟)和VF期3(30至45分钟)。将开发的LDA模型、周期长度(CL)和规则性指数(RI)应用于所有记录的心内电图,以量化犬心脏中VF的时空组织。
我们证明,随着VF的进展,EPI中存在有组织的活动,这与ENDO中活动保持无组织状态相反。最短的CL总是出现在ENDO,尤其是右心室,表明VF活动更快。在所有心脏的所有VF阶段,EPI中的RI最高,表明RR间期的时空一致性。
我们确定了犬心脏从诱导到心脏停搏整个VF过程中的电组织和时空差异。值得注意的是,右心室心内膜的特征是高度无序和更快的VF频率。相比之下,心外膜具有高度的VF时空组织和持续较长的RR间期。