Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Army Medical University, Chongqing, China.
Department of Medical Ultrasonics, Southwest Hospital, Army Medical University, Chongqing, China.
Int J Cardiovasc Imaging. 2023 Jul;39(7):1263-1273. doi: 10.1007/s10554-023-02841-x. Epub 2023 May 7.
This study investigated possible mechanism of left atrial appendage (LAA) thrombosis and constructed a model to evaluate the future risk of LAA thrombosis and spontaneous echo contrast (SEC) in non-valvular atrial fibrillation (NVAF) patients.
This retrospective study included 2591 patients diagnosed with NVAF. Patients were divided based on the presence of transesophageal echocardiography (TEE) into a thrombus group, SEC group, and control group. General, biochemical, and echocardiography data of the three groups were analyzed. The variables independently associated with LAA thrombosis and SEC were determined by the logistic regression analysis. A nomogram was constituted based on the regression analysis and the discriminatory ability was analyzed by receiver operating characteristic (ROC) curve.
LAA thrombosis and SEC were present in 110 (4.2%) patients and 103 (3.9%) patients, respectively. AF type (OR = 1.857), previous stroke (OR = 1.924), fibrinogen (OR = 1.636), diameters of the left atria (OR = 1.094), left ventricular ejection fraction (OR = 0.938), and LAA maximum caliber (OR = 1.238) resulted as independent risk factors for LAA thrombosis and SEC. The area under curve of the nomogram established by multivariate logistic regression was 0.824. Conclusions; Through the study, 6 independent risk factors related to the LAA thrombosis and SEC were found, and an effective nomogram was constructed to predict the LAA thrombosis and SEC in NVAF patients.
本研究旨在探讨左心耳(LAA)血栓形成的可能机制,并构建一个模型来评估非瓣膜性心房颤动(NVAF)患者未来发生 LAA 血栓形成和自发性回声对比(SEC)的风险。
本回顾性研究纳入了 2591 例诊断为 NVAF 的患者。根据经食管超声心动图(TEE)检查结果,将患者分为血栓组、SEC 组和对照组。分析三组患者的一般、生化和超声心动图数据。通过逻辑回归分析确定与 LAA 血栓形成和 SEC 相关的独立变量。根据回归分析建立列线图,并通过接收者操作特征(ROC)曲线分析其鉴别能力。
110 例(4.2%)患者存在 LAA 血栓形成,103 例(3.9%)患者存在 SEC。AF 类型(OR=1.857)、既往卒中(OR=1.924)、纤维蛋白原(OR=1.636)、左心房直径(OR=1.094)、左心室射血分数(OR=0.938)和 LAA 最大口径(OR=1.238)是 LAA 血栓形成和 SEC 的独立危险因素。多变量逻辑回归建立的列线图的曲线下面积为 0.824。
通过本研究发现了 6 个与 LAA 血栓形成和 SEC 相关的独立危险因素,并构建了一个有效的列线图来预测 NVAF 患者的 LAA 血栓形成和 SEC。