Yoshikawa Kosuke, Asano Taku, Onishi Yoshimi, Takai Yuki, Sugiyama Hiroto, Arai Shuhei, Gokan Toshihiko, Nakamura Yuya, Inokuchi Koichiro, Kikuchi Miwa, Onuki Tatsuya, Ezumi Hitoshi, Koba Shinji, Tanno Kaoru, Kobayashi Youichi, Shinke Toshiro
Division of Cardiology, Department of Medicine, Showa University, Tokyo, Japan.
Division of Cardiology, Koyama Memorial Hospital, Ibaraki, Japan.
Int J Cardiol Heart Vasc. 2025 Jan 16;56:101611. doi: 10.1016/j.ijcha.2025.101611. eCollection 2025 Feb.
Embolic stroke of undetermined source (ESUS) patients undergoing long-term rhythm monitoring with Implantable Loop Recorder (ILR) have an atrial fibrillation (AF) detection rate of approximately 12 % at 1 year and 30 % with extended follow-up over 3 years. However, research specifically focusing on the majority of patients in whom AF is not detected through implantable cardiac monitors remains limited. Abnormal lipid profiles may be associated with embolic risks from non-AF sources. This study aimed to develop a model to predict the absence of AF in patients with ESUS using multiple variables, including lipid profiles.
A retrospective, multicenter cohort study was conducted across four institutions, involving 99 ESUS patients. Patients were categorized based on AF detection via ILR. Patient characteristics, blood test results, and echocardiographic findings were assessed through univariate and multivariate logistic regression analyses. ROC curve analysis was performed to evaluate the biomarkers' predictive accuracy.
AF was detected in 30.3 % of patients over a median follow-up of 25.5 months. Multivariate analysis confirmed elevated D-dimer (OR: 2.77, p = 0.002), low LDL/HDL ratio (OR: 2.0, p = 0.01), and CHA2DS2-VASc score (OR: 1.4, p = 0.04) as independent predictors of AF detection. The CHA2DS2-VASc score was excluded due to multicollinearity, and patients with D-dimer < 0.9 μg/ml and LDL/HDL ratio > 1.98 had significantly lower AF detection rates (6.8 %, P < 0.001; sensitivity 93.1 %, specificity 44.2 %).
Combining D-dimer and LDL/HDL ratios provides an effective and accessible method for predicting the absence of AF in patients with an ILR for ESUS.
使用植入式循环记录仪(ILR)进行长期心律监测的不明来源栓塞性卒中(ESUS)患者,1年时房颤(AF)检出率约为12%,3年以上的延长随访中为30%。然而,专门针对大多数通过植入式心脏监测器未检测到房颤的患者的研究仍然有限。异常血脂谱可能与非房颤来源的栓塞风险相关。本研究旨在开发一种模型,使用包括血脂谱在内的多个变量预测ESUS患者无房颤情况。
在四个机构进行了一项回顾性多中心队列研究,纳入99例ESUS患者。根据通过ILR检测到的房颤对患者进行分类。通过单变量和多变量逻辑回归分析评估患者特征、血液检查结果和超声心动图检查结果。进行ROC曲线分析以评估生物标志物的预测准确性。
在中位随访25.5个月期间,30.3%的患者检测到房颤。多变量分析证实,D-二聚体升高(比值比:2.77,p = 0.002)、低密度脂蛋白/高密度脂蛋白比值低(比值比:2.0,p = 0.01)和CHA2DS2-VASc评分(比值比:1.4,p = 0.04)是房颤检测的独立预测因素。由于多重共线性,CHA2DS2-VASc评分被排除,D-二聚体<0.9μg/ml且低密度脂蛋白/高密度脂蛋白比值>1.98的患者房颤检出率显著较低(6.8%,P < 0.001;敏感性93.1%,特异性44.2%)。
结合D-二聚体和低密度脂蛋白/高密度脂蛋白比值为预测使用ILR的ESUS患者无房颤情况提供了一种有效且可及的方法。