Cardiology Clinic and General Pathology, Eastern Piedmont University, Azienda Ospedaliera Universitaria Maggiore della Carità, Novara, Italy.
J Cardiovasc Med (Hagerstown). 2010 Jul;11(7):499-506. doi: 10.2459/JCM.0b013e32833757b5.
The level of atrial mechanical asynchrony may vary within the atrial fibrillation population and this may have pathophysiological relevance.
We sought to verify whether the degree of left-atrial mechanical asynchrony associated with atrial fibrillation is a predictor of arrhythmia recurrence after restoration of sinus rhythm with electrical cardioversion.
Left atrial volume was calculated, whereas two-dimensional (2D) strain (speckle tracking technique) was used to estimate peak and standard deviation (SD) of time-to-peak of deformation of six segments arbitrarily identified along the perimeter of the cavity, imaged in apical four-chamber view. Left atrial mechanical asynchrony was quantified according to quartiles of time-to-peak SD assuming that larger values would identify higher grades of asynchrony. A total of 130 patients undergoing cardioversion for atrial fibrillation were prospectively enrolled. Time-to-peak SD was inversely related with peak strain (P < 0.001). No differences were observed among groups in terms of clinical, therapeutical and additional echocardiographic variables. At 1-year atrial fibrillation was observed in 53% of patients, with time-to-peak SD linearly related to atrial-fibrillation recurrence (P = 0.014). At multivariate analysis only time-to-peak SD (P = 0.032), but not atrial volume (P = 0.075), was identified as an independent predictor of fibrillation recurrence.
This is the first study showing that left atrial asynchrony, quantified as time-to-peak SD of regional atrial strains before electrical cardioversion, is a major independent predictor of fibrillation recurrence in patients back to sinus-rhythm postprocedure.
心房机械不同步的程度在房颤人群中可能有所不同,这可能具有病理生理学相关性。
我们旨在验证与房颤相关的左心房机械不同步程度是否是电复律恢复窦性心律后心律失常复发的预测因素。
计算左心房容积,使用二维应变(斑点追踪技术)估计六个节段的峰值和标准偏差(SD),这些节段沿腔的周边任意识别,在 apical 四腔视图中成像。根据时间至峰值 SD 的四分位数来量化左心房机械不同步,假设较大的值将识别更高程度的不同步。共有 130 名接受房颤电复律的患者前瞻性入组。时间至峰值 SD 与峰值应变呈负相关(P < 0.001)。在临床、治疗和额外的超声心动图变量方面,各组之间没有差异。在 1 年时,53%的患者观察到房颤,时间至峰值 SD 与房颤复发呈线性相关(P = 0.014)。在多变量分析中,只有时间至峰值 SD(P = 0.032),而不是左心房容积(P = 0.075),被确定为房颤复发的独立预测因素。
这是第一项研究表明,在电复律之前,用区域性心房应变的时间至峰值 SD 量化的左心房不同步是电复律后恢复窦性节律的患者房颤复发的主要独立预测因素。