International Centre for Circulatory Health, National Heart and Lung Institute, Imperial College London, 59-61 North Wharf Road, London W2 1LA, UK.
Europace. 2014 Apr;16(4):541-50. doi: 10.1093/europace/eut257. Epub 2013 Sep 25.
Full-disclosure study describing Doppler patterns during iterative atrioventricular delay (AVD) optimization of biventricular pacemakers (cardiac resynchronization therapy, CRT).
Doppler traces of the first 50 eligible patients undergoing iterative Doppler AVD optimization in the BRAVO trial were examined. Three experienced observers classified conformity to guideline-described patterns. Each observer then selected the optimum AVD on two separate occasions: blinded and unblinded to AVD. Four Doppler E-A patterns occurred: A (always merged, 18% of patients), B (incrementally less fusion at short AVDs, 12%), C (full separation at short AVDs, as described by the guidelines, 28%), and D (always separated, 42%). In Groups A and D (60%), the iterative guidelines therefore cannot specify one single AVD. On the kappa scale (0 = chance alone; 1 = perfect agreement), observer agreement for the ideal AVD in Classes B and C was poor (0.32) and appeared worse in Groups A and D (0.22). Blinding caused the scattering of the AVD selected as optimal to widen (standard deviation rising from 37 to 49 ms, P < 0.001). By blinding 28% of the selected optimum AVDs were ≤60 or ≥200 ms. All 50 Doppler datasets are presented, to support future methodological testing.
In most patients, the iterative method does not clearly specify one AVD. In all the patients, agreement on the ideal AVD between skilled observers viewing identical images is poor. The iterative protocol may successfully exclude some extremely unsuitable AVDs, but so might simply accepting factory default. Irreproducibility of the gold standard also prevents alternative physiological optimization methods from being validated honestly.
描述双心室起搏器(心脏再同步治疗,CRT)迭代房室延迟(AVD)优化过程中的多普勒模式的全面披露研究。
检查了 BRAVO 试验中 50 名符合条件的接受迭代多普勒 AVD 优化的患者的多普勒迹线。三名经验丰富的观察者对符合指南描述模式的情况进行了分类。每位观察者在两次独立的情况下选择最佳 AVD:对 AVD 进行盲法和非盲法。出现了四种多普勒 E-A 模式:A(始终融合,占患者的 18%),B(在短 AVD 时逐渐减少融合,占 12%),C(短 AVD 时完全分离,如指南所述,占 28%)和 D(始终分离,占 42%)。在 A 和 D 组(60%)中,因此迭代指南无法指定单一 AVD。在kappa 量表(0 = 仅机会;1 = 完全一致)中,B 和 C 类中理想 AVD 的观察者一致性较差(0.32),在 A 和 D 组中似乎更差(0.22)。盲目性导致选择的最佳 AVD 变得更加分散(标准差从 37 增加到 49 ms,P < 0.001)。通过盲目性,28%的选定最佳 AVD 为≤60 或≥200 ms。所有 50 个多普勒数据集均已呈现,以支持未来的方法学测试。
在大多数患者中,迭代方法并未明确指定一个 AVD。在所有患者中,观看相同图像的熟练观察者之间对理想 AVD 的一致性较差。迭代方案可能成功排除一些极不合适的 AVD,但这也可能只是接受工厂默认值。金标准的不可重复性也阻止了其他生理优化方法的诚实验证。