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A Study of Mechanical Optimization Strategy for Cardiac Resynchronization Therapy Based on an Electromechanical Model

机译:基于机电模型的心脏再同步治疗机械优化策略研究

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摘要

An optimal electrode position and interventricular (VV) delay in cardiac resynchronization therapy (CRT) improves its success. However, the precise quantification of cardiac dyssynchrony and magnitude of resynchronization achieved by biventricular (BiV) pacing therapy with mechanical optimization strategies based on computational models remain scant. The maximum circumferential uniformity ratio estimate (CURE) was used here as mechanical optimization index, which was automatically computed for 6 different electrode positions based on a three-dimensional electromechanical canine model of heart failure (HF) caused by complete left bundle branch block (CLBBB). VV delay timing was adjusted accordingly. The heart excitation propagation was simulated with a monodomain model. The quantification of mechanical intra- and interventricular asynchrony was then investigated with eight-node isoparametric element method. The results showed that (i) the optimal pacing location from maximal CURE of 0.8516 was found at the left ventricle (LV) lateral wall near the equator site with a VV delay of 60 ms, in accordance with current clinical studies, (ii) compared with electrical optimization strategy of E RMS, the LV synchronous contraction and the hemodynamics improved more with mechanical optimization strategy. Therefore, measures of mechanical dyssynchrony improve the sensitivity and specificity of predicting responders more. The model was subject to validation in future clinical studies.
机译:心脏再同步治疗(CRT)中的最佳电极位置和心室(VV)延迟可提高其成功率。然而,通过基于计算模型的机械优化策略,通过双心室(BiV)起搏治疗实现的心脏不同步和再同步幅度的精确量化仍然很少。最大圆周均匀率估计值(CURE)在这里用作机械优化指标,它是根据完全左束支传导阻滞(CLBBB)引起的心衰(HF)的三维机电犬模型,针对6个不同的电极位置自动计算得出的)。 VV延迟时间已相应调整。用单畴模型模拟心脏激发传播。然后用八节点等参元方法研究了机械性室内和心室异步的量化。结果表明:(i)根据当前临床研究,在靠近赤道部位的左心室(LV)侧壁发现最大CURE的最佳起搏位置为0.8516,VV延迟为60µms,(ii)比较通过E RMS的电优化策略,机械优化策略可进一步改善LV同步收缩和血液动力学。因此,机械不同步的措施可以进一步提高预测反应者的敏感性和特异性。该模型已在以后的临床研究中得到验证。

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