Hosoglu Yusuf, Hosoglu Ayse, Kavalcı Veysi, Tibilli Hakan, Markirt Sezer, Altınışık Erman
Private Koru Sincan Hospital, Ankara, Turkey.
Başkent University Ankara Hospital, Ankara, Turkey.
Clin Appl Thromb Hemost. 2025 Jan-Dec;31:10760296251361083. doi: 10.1177/10760296251361083. Epub 2025 Jul 24.
BackgroundAtrial fibrillation (AF) significantly increases the risk of ischemic stroke and often remains asymptomatic until stroke onset. Identifying stroke survivors at high risk for incident AF is critical for targeted anticoagulation therapy. This study aimed to evaluate the predictive utility of the ECG-based SIMP3L2E score alone and combined with Holter-detected supraventricular ectopy for incident AF and recurrent stroke in ischemic stroke survivors.MethodsThis prospective observational study enrolled 77 patients hospitalized with acute ischemic stroke between January and September 2021. Although the SIMP3L2E score was published in 2024, all required ECG parameters were collected prospectively during initial hospitalization and retrospectively calculated for analysis. Incident AF and recurrent strokes were assessed retrospectively over a three-year follow-up. Predictive performance was evaluated using logistic regression and receiver operating characteristic (ROC) analysis.ResultsOf the participants, 27 (35.1%) had high SIMP3L2E scores (≥12). Incident AF occurred in 12 patients (15.6%) and recurrent stroke in 9 patients (11.7%). The SIMP3L2E score alone had modest predictive ability (AUC = 0.588). However, supraventricular ectopy detected by Holter was independently predictive of incident AF (OR: 0.092; 95% CI: 0.016-0.538; p = .008) and significantly improved predictive accuracy (AUC = 0.797).ConclusionThe SIMP3L2E ECG score demonstrated limited predictive power alone in older post-stroke patients but showed substantially improved discrimination when combined with Holter-detected supraventricular ectopy. Integrating static ECG scores with dynamic rhythm monitoring could enhance risk stratification for incident AF following ischemic stroke. Future studies should validate these findings in larger, diverse populations.
背景
心房颤动(AF)显著增加缺血性中风的风险,并且在中风发作前通常无症状。识别有发生AF高风险的中风幸存者对于靶向抗凝治疗至关重要。本研究旨在评估基于心电图的SIMP3L2E评分单独使用以及与动态心电图检测到的室上性异位搏动相结合,对缺血性中风幸存者发生AF和复发性中风的预测效用。
方法
这项前瞻性观察性研究纳入了2021年1月至9月期间因急性缺血性中风住院的77例患者。尽管SIMP3L2E评分于2024年发表,但所有所需的心电图参数均在初次住院期间前瞻性收集,并进行回顾性计算以进行分析。在三年随访期间对发生的AF和复发性中风进行回顾性评估。使用逻辑回归和受试者工作特征(ROC)分析评估预测性能。
结果
参与者中,27例(35.1%)的SIMP3L2E评分较高(≥12)。12例患者(15.6%)发生了AF,9例患者(11.7%)发生了复发性中风。单独的SIMP3L2E评分具有中等预测能力(AUC = 0.588)。然而,动态心电图检测到的室上性异位搏动可独立预测AF的发生(OR:0.092;95% CI:0.016 - 0.538;p = 0.008),并显著提高了预测准确性(AUC = 0.797)。
结论
SIMP3L2E心电图评分在老年中风后患者中单独显示出有限的预测能力,但与动态心电图检测到的室上性异位搏动相结合时,其鉴别能力显著提高。将静态心电图评分与动态心律监测相结合可以增强缺血性中风后发生AF的风险分层。未来的研究应在更大、更多样化的人群中验证这些发现。