Schmidt Boris, Asbach Stefan, Schweika Oliver, Zehender Manfred, Bode Christoph, Faber Thomas S
Universitätsklinikum Freiburg, Medizinische Klinik III, Department of Cardiology and Angiology, Hugstetter Str 55, D-79106, Freiburg, Germany.
Europace. 2007 Sep;9(9):812-6. doi: 10.1093/europace/eum106. Epub 2007 Jun 1.
In carriers of dual chamber pacemakers and implantable cardioverter-defibrillators (ICD), detection of atrial fibrillation (AF) is crucial for adequate mode switch function and to avoid inappropriate shock delivery. Detection algorithms rely on the atrial rate and on the relationship of atrial to ventricular intracardiac electrograms, but the relative portion of misclassified AF episodes remains high. Although myocardial impedance is a reliable indicator of contraction, little is known about atrial impedance as a marker of atrial arrhythmias. Methods During an electrophysiological study, we investigated the effect of induced AF on impedance at the right atrial free wall (RAFW) and right atrial appendage (RAA) in 20 patients. Using biphasic square-wave pulses (128 Hz, 200 microA/15 micros), impedance changes were recorded during sinus rhythm (SR-1), atrial pacing at 120 beats/min, AF induced by rapid atrial burst pacing, and after spontaneous AF termination (SR-2). Results At the RAA, peak-to-peak impedance amplitude during cardiac cycle (DeltaZ) dropped from 51.7 +/- 35.3 Omega (SR-1) or 49.6 +/- 30.6 Omega (pacing) to 24.6 +/- 22.0 Omega (AF, P< or =0.0005), and subsequently increased to 37.7 +/- 24.7 Omega (SR-2, P < or = 0.0004 v. AF). At the RAFW, DeltaZ changed from 16.2 +/- 15.5 Omega (SR-1) or 13.5 +/- 9.9 Omega (pacing) to 5.9 +/- 4.1 Omega (AF, P < or = 0.003), and to 11.4 +/- 10.7 Omega (SR-2, P < or = 0.015). Given a discrimination threshold of 65%, the sensitivity and the specificity of DeltaZ to detect AF were 79 +/- 18 and 89 +/- 14%, respectively (95% confidence interval).
AF causes DeltaZ drop in pacemaker and ICD recipients. This impedance based algorithm can be used as an alternative method of AF detection.
在双腔起搏器和植入式心脏复律除颤器(ICD)携带者中,心房颤动(AF)的检测对于适当的模式转换功能以及避免不适当的电击发放至关重要。检测算法依赖于心房率以及心房与心室内电图的关系,但AF发作误分类的相对比例仍然很高。尽管心肌阻抗是收缩的可靠指标,但关于心房阻抗作为房性心律失常标志物的了解甚少。方法:在一项电生理研究中,我们调查了20例患者中诱发的AF对右心房游离壁(RAFW)和右心耳(RAA)处阻抗的影响。使用双相方波脉冲(128 Hz,200 μA/15 μs),在窦性心律(SR-1)、120次/分钟的心房起搏、快速心房猝发起搏诱发的AF以及自发AF终止后(SR-2)记录阻抗变化。结果:在RAA处,心动周期中的峰-峰值阻抗幅度(ΔZ)从51.7±35.3Ω(SR-1)或49.6±30.6Ω(起搏)降至24.6±22.0Ω(AF,P≤0.0005),随后增加至37.7±24.7Ω(SR-2,与AF相比P≤0.0004)。在RAFW处,ΔZ从16.2±15.5Ω(SR-1)或13.5±9.9Ω(起搏)变为5.9±4.1Ω(AF,P≤0.003),并变为11.4±10.7Ω(SR-2,P≤0.015)。给定65%的判别阈值,ΔZ检测AF的敏感性和特异性分别为79±18%和89±14%(95%置信区间)。
AF导致起搏器和ICD接受者的ΔZ下降。这种基于阻抗的算法可作为AF检测的替代方法。