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回顾性研究 1255 例非抗凝的非瓣膜性心房颤动患者,以确定经食管超声心动图检查左心房自发性回声对比与缺血性卒中相关的风险。

Retrospective Study of 1255 Non-Anticoagulated Patients with Nonvalvular Atrial Fibrillation to Determine the Risk of Ischemic Stroke Associated with Left Atrial Spontaneous Echo Contrast on Transesophageal Echocardiography.

机构信息

Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China (mainland).

出版信息

Med Sci Monit. 2021 Dec 11;27:e934795. doi: 10.12659/MSM.934795.

Abstract

BACKGROUND Left atrial spontaneous echo contrast (LASEC) is associated with an increased risk of stroke in patients with nonvalvular atrial fibrillation (NVAF). Therefore, a tool that identifies the risk of LASEC in non-anticoagulated patients with NVAF may be helpful for stroke risk stratification and early stroke prevention in these patients. The aim of this retrospective study was to establish a novel risk score model to determine the risk of ischemic stroke associated with LASEC on transesophageal echocardiography (TEE). MATERIAL AND METHODS This study retrospectively and consecutively enrolled 1255 non-anticoagulated patients with NVAF who underwent TEE prior to catheter ablation or left atrial appendage occlusion. Most importantly, a novel nomogram was developed using a logistic regression model to predict the risk of LASEC. RESULTS A nomogram was established for LASEC prediction which included 5 independent risk factors determined by multivariable logistic regression analysis: increased age, non-paroxysmal atrial fibrillation, previous stroke/transient ischemic attack, congestive heart failure, and left atrial enlargement. The receiver operating characteristic curve analysis showed that the area under the curve (AUC) of the novel risk score model was 0.879 (95% confidence interval: 0.849-0.909, P<0.001). Compared with the CHA2DS2-VASc score, the novel risk score model had a better predictive power (AUC: 0.879 vs 0.617, P<0.001). CONCLUSIONS This novel risk score model effectively predicted the presence of LASEC in non-anticoagulated patients with NVAF.

摘要

背景

左心房自发性回声对比(LASEC)与非瓣膜性心房颤动(NVAF)患者的中风风险增加相关。因此,一种能够识别非抗凝 NVAF 患者 LASEC 风险的工具可能有助于这些患者的中风风险分层和早期预防中风。本回顾性研究的目的是建立一种新的风险评分模型,以确定经食管超声心动图(TEE)上 LASEC 与缺血性中风相关的风险。

材料与方法

本研究回顾性连续纳入了 1255 例在导管消融或左心耳封堵术前接受 TEE 的非抗凝 NVAF 患者。最重要的是,使用逻辑回归模型开发了一种新的列线图来预测 LASEC 的风险。

结果

建立了用于 LASEC 预测的列线图,其中包括 5 个通过多变量逻辑回归分析确定的独立危险因素:年龄增加、非阵发性心房颤动、既往中风/短暂性脑缺血发作、充血性心力衰竭和左心房扩大。受试者工作特征曲线分析显示,新风险评分模型的曲线下面积(AUC)为 0.879(95%置信区间:0.849-0.909,P<0.001)。与 CHA2DS2-VASc 评分相比,新风险评分模型具有更好的预测能力(AUC:0.879 与 0.617,P<0.001)。

结论

该新的风险评分模型可有效预测非抗凝 NVAF 患者 LASEC 的存在。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a45/8672647/5ddde1481abe/medscimonit-27-e934795-g001.jpg

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