左心房贮器应变是缺血性脑卒中心肌栓塞的高级鉴别指标

Aditya Bhat, Gary C H Gan, H. Chen, S. Khanna, V. Mahajan, Arnav Gupta, C. Burdusel, Nigel Wolfe, L. Lee, M. C. P. Nunes, C. Taconeli, J. L. P. da Silva, Timothy C. Tan
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引用次数: 0

摘要

左心大小和功能的超声心动图测量长期以来一直与中风发生的心源性栓塞机制有关,但在这方面心房功能测量的诊断性能和比较还没有得到很好的研究。我们试图评估 LA 储腔应变(LASr)与传统的左心大小和功能测量方法相比在缺血性中风人群中识别心源性栓塞的诊断性能。 我们招募了本院收治的缺血性脑卒中或短暂性脑缺血发作患者,对他们进行了全面的经胸超声心动图检查。根据病因对脑卒中进行分类,并对心源性栓塞和非心源性栓塞类型进行比较。 对 418 名病因为心源性栓塞(229 人)或非心源性栓塞(189 人)的连续中风患者进行了分析。与非心肌栓塞性脑卒中相比,心肌栓塞性脑卒中的 LASr 受损(16.7 ± 8.2% vs 26.0 ± 5.5%,P < 0.01),其分辨能力最强[曲线下面积 (AUC) 0.813,95%CI 0.与 LVEF(AUC 差异为 0.150,P<0.01)、LAVI(AUC 差异为 0.083,P<0.01)和 E/e'(AUC 差异为 0.163,P<0.01)相比,LASr 在区分卒中亚型方面具有最大的区分度[曲线下面积(AUC)为 0.813,95%CI 为 0.773 至 0.858]。将 LASr 纳入常规左心超声心动图因素的模型中可提高模型的性能,净再分类率提高了 1.083(95%CI 0.945 至 1.220,p < 0.01)。此外,基于用户定义模型的 LASr 临床算法提高了识别心源性栓塞性卒中亚型的诊断准确性,这在无心房颤动的患者中体现得最为明显。 LASr 在鉴别心源性栓塞和非心源性栓塞卒中机制方面的诊断准确性比传统的超声心动图方法更强,尤其是在没有合并心房颤动的患者中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Left Atrial Reservoir Strain is a Superior Discriminator of Cardioembolism in Ischemic Stroke
Echocardiographic measures of left heart size and function have long been associated with cardioembolic mechanisms of stroke development, however the diagnostic performance and comparison of measures of atrial function in this context has not been well studied. We sought to evaluate the diagnostic performance of LA reservoir strain (LASr) in identification of cardioembolism in the ischemic stroke population relative to traditional measures of left heart size and function. Consecutive patients admitted to our institution with ischemic stroke or transient ischemic attack were recruited and underwent comprehensive transthoracic echocardiography. Strokes were classified by etiology with comparison undertaken between cardioembolic and non-cardioembolic types. 418 consecutive stroke patients with a cardioembolic (n = 229) or non-cardioembolic (n = 189) stroke etiology were analyzed. LASr was impaired in cardioembolic compared to non-cardioembolic strokes (16.7 ± 8.2% vs 26.0 ± 5.5%, p < 0.01) and provided greatest discrimination [area under the curve (AUC) 0.813, 95%CI 0.773 to 0.858] in differentiating stroke subtypes when compared to LVEF (AUC difference 0.150, p < 0.01), LAVI (AUC difference 0.083, p < 0.01) and E/e’ (AUC difference 0.163, p < 0.01). Inclusion of LASr in a model with conventional left heart echocardiographic factors improved model performance with a net reclassification improvement of 1.083 (95%CI 0.945 to 1.220, p < 0.01). Further, a proposed user-defined model-based clinical algorithm with LASr demonstrated improved diagnostic accuracy of identification of cardioembolic stroke subtypes which was best appreciated in patients without atrial fibrillation. LASr may provide enhanced diagnostic accuracy beyond conventional echocardiographic measures to discriminate cardioembolic from non-cardioembolic stroke mechanisms, in particular amongst those without comorbid atrial fibrillation.
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