Murthy Sindhoora, Rizzi Patricia, Mewton Nathan, Strauss David G, Liu Chia Y, Volpe Gustavo Jardim, Marchlinski Francis E, Spooner Peter, Berger Ronald D, Kellman Peter, Lima Joao A C, Tereshchenko Larisa G
Whiting School of Engineering, Johns Hopkins University, Baltimore, MD.
Ann Noninvasive Electrocardiol. 2014 Mar;19(2):114-21. doi: 10.1111/anec.12084. Epub 2013 Sep 9.
Although atrial fibrillation (AF) triggers are known, the underlying AF substrate is less well understood. The goal of our study was to explore correlations between electrophysiological and structural characteristics of atria in patients with paroxysmal AF and individuals at AF risk.
Patients in sinus rhythm (N = 90; age 57 ± 10 year; 55 men [63.2%]) with structural heart disease and paroxysmal AF (n = 12 [13%]), or with AF risk factors and LVEF > 35% (n = 78), underwent SAECG and cardiac magnetic resonance study. Interatrial and epicardial fat was analyzed with a Dark-blood DIR-prepared Fat-Water-separated sequence in the horizontal longitudinal axis. All local P-wave extrema were identified on SAECG leads during sinus rhythm. A P-wave fragmentation (Pf) was defined as an absolute difference between adjacent extrema which was above three standard deviations of noise, and was normalized by the duration of the P wave in the corresponding lead.
The Pf was greater on the filtered than on the unfiltered P-SAECG signal (13.1 ± 3.8 vs. 3.4 ± 1.2; P < 0.0001). Pf was the greatest on the Y lead (13.0 ± 3.5 on Y lead vs. 12.1 ± 3.4 on Z lead; P = 0.003. Pf on Z lead correlated with interatrial fat index (r = 0.544; P = 0.001). Epicardial fat significantly correlated with body mass index (BMI; r = 0.302; P = 0.015). After adjustment for BMI, left atrium (LA) size, epicardial fat, and interatrial septum width, interatrial fat independently associated with the Pf on Z lead (β-coefficient 0.009 [95%CI 0.0003-0.019]; P = 0.043).
Infiltrated atrial fat correlates with discontinuous conduction on posterior LA wall and represents AF early substrate.
尽管房颤(AF)的触发因素已为人所知,但房颤的潜在基质却了解较少。我们研究的目的是探讨阵发性房颤患者及有房颤风险个体心房的电生理和结构特征之间的相关性。
患有结构性心脏病且为阵发性房颤(n = 12 [13%])或有房颤风险因素且左心室射血分数(LVEF)> 35%(n = 78)的窦性心律患者(N = 90;年龄57 ± 10岁;55名男性[63.2%])接受了信号平均心电图(SAECG)和心脏磁共振研究。在水平长轴上采用黑血DIR准备的脂肪-水分离序列分析心房和心外膜脂肪。在窦性心律期间,在SAECG导联上识别所有局部P波极值。P波碎裂(Pf)定义为相邻极值之间的绝对差值,该差值高于噪声的三个标准差,并通过相应导联中P波的持续时间进行归一化。
滤波后的P-SAECG信号上的Pf大于未滤波信号上的Pf(13.1 ± 3.8对3.4 ± 1.2;P < 0.0001)。Pf在Y导联上最大(Y导联上为13.0 ± 3.5,Z导联上为12.1 ± 3.4;P = 0.003)。Z导联上的Pf与心房脂肪指数相关(r = 0.544;P = 0.001)。心外膜脂肪与体重指数(BMI;r = 0.302;P = 0.015)显著相关。在调整BMI、左心房(LA)大小、心外膜脂肪和房间隔宽度后,心房脂肪与Z导联上的Pf独立相关(β系数0.009 [95%CI 0.0003 - 0.019];P = 0.043)。
浸润性心房脂肪与左心房后壁的不连续传导相关,代表房颤的早期基质。