Penn Cardiovascular Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
J Am Heart Assoc. 2014 Jan 13;3(1):e000550. doi: 10.1161/JAHA.113.000550.
The utility of longitudinal, circumferential, and radial strain and strain rate in determining prognosis in chronic heart failure is not well established.
In 416 patients with chronic systolic heart failure, we performed speckle-tracking analyses of left ventricular longitudinal, circumferential, and radial strain and strain rate on archived echocardiography images (30 frames per second). Cox regression models were used to determine the associations between strain and strain rate and risk of all-cause mortality, cardiac transplantation, and ventricular-assist device placement. The area under the time-dependent ROC curve (AUC) was also calculated at 1 year and 5 years. Over a maximum follow-up of 8.9 years, there were 138 events (33.2%). In unadjusted models, all strain and strain rate parameters were associated with adverse outcomes (P<0.001). In multivariable models, all parameters with the exception of radial strain rate (P=0.11) remained independently associated, with patients in the lowest tertile of strain or strain rate parameter having a ≈ 2-fold increased risk of adverse outcomes compared with the reference group (P<0.05). Addition of strain to ejection fraction (EF) led to a significantly improved AUC at 1 year (0.697 versus 0.633, P=0.032) and 5 years (0.700 versus 0.638, P=0.001). In contrast, strain rate did not provide incremental prognostic value to EF alone.
Longitudinal and circumferential strain and strain rate, and radial strain are associated with chronic heart failure prognosis. Strain provides incremental value to EF in the prediction of adverse outcomes, and with additional study may be a clinically relevant prognostic tool.
纵向、周向和径向应变和应变速率在确定慢性心力衰竭预后中的作用尚未得到充分证实。
在 416 例慢性收缩性心力衰竭患者中,我们对存档的超声心动图图像(每秒 30 帧)进行了左心室纵向、周向和径向应变和应变速率的斑点追踪分析。Cox 回归模型用于确定应变和应变速率与全因死亡率、心脏移植和心室辅助装置放置风险之间的关联。还计算了 1 年和 5 年时时间依赖性 ROC 曲线下面积(AUC)。在最长 8.9 年的随访中,有 138 例事件(33.2%)。在未调整的模型中,所有应变和应变速率参数均与不良结局相关(P<0.001)。在多变量模型中,除了径向应变速率(P=0.11)之外,所有参数均与不良结局独立相关,与应变或应变速率参数最低三分位组相比,参考组患者发生不良结局的风险增加约 2 倍(P<0.05)。应变与射血分数(EF)的联合应用显著提高了 1 年(0.697 对 0.633,P=0.032)和 5 年(0.700 对 0.638,P=0.001)的 AUC。相比之下,应变速率并不能为 EF 单独提供额外的预后价值。
纵向和周向应变和应变速率以及径向应变与慢性心力衰竭的预后相关。应变在预测不良结局方面为 EF 提供了额外的价值,并且随着进一步的研究,可能成为一种具有临床相关性的预后工具。