Chen Lu, Zinda Ashley, Rossi Nicholas, Han Xiu-Jie, Sprankle Steve, Bullock-Palmer Renee, Zingrone Denise, Moshiyakov Mark, Szawlewicz Justin, Mogtader Allen, Hsi David H
Heart and Vascular Institute, Stamford Hospital, Stamford, CT, USA; Department of Ultrasound, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Deborah Heart and Lung Center, Browns Mill, NJ, USA.
Int J Cardiol. 2020 Sep 1;314:60-63. doi: 10.1016/j.ijcard.2020.04.039. Epub 2020 Apr 17.
Predicting left atrial appendage thrombus (LAAT) in non-valvular atrial fibrillation (NVAF) patients need more precisely quantified risk models. In this study, we attempted to review the risk markers for LAAT and develop a simple and reliable model for LAAT prediction.
The study included 307 patients with NVAF who were scheduled for transesophageal echocardiography (TEE) to exclude LAA thrombus before synchronized electrical cardioversion or radiofrequency ablation for atrial fibrillation (AF). We analyzed the relationship between echo, clinical parameters and the presence or absence of LAAT.
A total of 33 patients were found having LAAT (10.7%, 33/307). The age, left atrial appendage emptying velocity (LAAEV), left atrial or left atrial appendage spontaneous echocardiographic contrast (SEC), less than moderate to severe mitral regurgitation (≤mild MR), and left atrial enlargement showed association with LAAT. The multivariate logistic regression analysis revealed that LAAEV, SEC and ≤mild MR were independent risk factors of the LAAT. We used LAAEV ≤ 21.5 cm/s, SEC and ≤mild MR to construct a combined predictive model for LAAT in NVAF patients (the area under receiver operator characteristic curve: 0.88; 95% confidence interval: 0.82-0.95, P < 0.0001).
Comprehensive evaluation of LAAEV, SEC, and MR with associated LAAT may help risk stratifying the NVAF patients, especially if the LAA imaging quality was suboptimal for identifying thrombus. These parameters may facilitate the decision-making process at the time of TEE.
预测非瓣膜性心房颤动(NVAF)患者的左心耳血栓(LAAT)需要更精确量化的风险模型。在本研究中,我们试图回顾LAAT的风险标志物,并开发一种简单可靠的LAAT预测模型。
该研究纳入了307例NVAF患者,这些患者计划在进行房颤(AF)的同步电复律或射频消融术前接受经食管超声心动图(TEE)检查以排除左心耳血栓。我们分析了超声心动图、临床参数与LAAT存在与否之间的关系。
共发现33例患者存在LAAT(10.7%,33/307)。年龄、左心耳排空速度(LAAEV)、左心房或左心耳自发超声造影(SEC)、轻度及以下二尖瓣反流(≤轻度MR)和左心房扩大与LAAT相关。多因素logistic回归分析显示,LAAEV、SEC和≤轻度MR是LAAT的独立危险因素。我们使用LAAEV≤21.5 cm/s、SEC和≤轻度MR构建了一个NVAF患者LAAT的联合预测模型(受试者操作特征曲线下面积:0.88;95%置信区间:0.82-0.95,P<0.0001)。
综合评估LAAEV、SEC和MR与LAAT的相关性可能有助于对NVAF患者进行风险分层,尤其是在左心耳成像质量欠佳难以识别血栓时。这些参数可能有助于TEE检查时的决策过程。