von Falkenhausen Aenne S, Feil Katharina, Sinner Moritz F, Schönecker Sonja, Müller Johanna, Wischmann Johannes, Eiffener Elodie, Clauss Sebastian, Poli Sven, Poli Khouloud, Zuern Christine S, Ziemann Ulf, Berrouschot Jörg, Kitsiou Alkisti, Schäbitz Wolf-Rüdiger, Dieterich Marianne, Massberg Steffen, Kääb Stefan, Kellert Lars
Department of Cardiology, University Hospital, Ludwig Maximilians University of Munich, Munich, Germany.
German Center for Cardiovascular Research (DZHK), partner site: Munich Heart Alliance, Munich, Germany.
Ann Neurol. 2023 Mar;93(3):479-488. doi: 10.1002/ana.26545. Epub 2022 Dec 2.
Approximately 20% of strokes are embolic strokes of undetermined source (ESUS). Undetected atrial fibrillation (AF) remains an important cause. Yet, oral anticoagulation in unselected ESUS patients failed in secondary stroke prevention. Guidance on effective AF detection is lacking. Here, we introduce a novel, non-invasive AF risk assessment after ESUS.
Catch-Up ESUS is an investigator-initiated, observational cohort study conducted between 2018 and 2019 at the Munich University Hospital. Besides clinical characteristics, patients received ≥72 h digital electrocardiogram recordings to generate the rhythm irregularity burden. Uni- and multivariable regression models predicted the primary endpoint of incident AF, ascertained by standardized follow-up including implantable cardiac monitors. Predictors included the novel rhythm irregularity burden constructed from digital electrocardiogram recordings. We independently validated our model in ESUS patients from the University Hospital Tübingen, Germany.
A total of 297 ESUS patients were followed for 15.6 ± 7.6 months. Incident AF (46 patients, 15.4%) occurred after a median of 105 days (25th to 75th percentile 31-33 days). Secondary outcomes were recurrent stroke in 7.7% and death in 6.1%. Multivariable-adjusted analyses identified the rhythm irregularity burden as the strongest AF-predictor (hazard ratio 3.12, 95% confidence interval 1.62-5.80, p < 0001) while accounting for the known risk factors age, CHA DS -VASc-Score, and NT-proBNP. Independent validation confirmed the rhythm irregularity burden as the most significant AF-predictor (hazard ratio 2.20, 95% confidence interval 1.45-3.33, p < 0001).
The novel, non-invasive, electrocardiogram-based rhythm irregularity burden may help adjudicating AF risk after ESUS, and subsequently guide AF-detection after ESUS. Clinical trials need to clarify if high-AF risk patients benefit from tailored secondary stroke prevention. ANN NEUROL 2023;93:479-488.
约20%的中风为不明来源栓塞性中风(ESUS)。未被检测出的心房颤动(AF)仍是一个重要原因。然而,在未经过挑选的ESUS患者中进行口服抗凝治疗在二级中风预防中效果不佳。目前缺乏关于有效检测AF的指导。在此,我们介绍一种ESUS后新型的非侵入性AF风险评估方法。
“追赶ESUS”是一项由研究者发起的观察性队列研究,于2018年至2019年在慕尼黑大学医院开展。除临床特征外,患者接受了≥72小时的数字心电图记录以生成心律不规则负担。单变量和多变量回归模型预测了新发AF的主要终点,该终点通过包括植入式心脏监测器在内的标准化随访确定。预测因素包括根据数字心电图记录构建的新型心律不规则负担。我们在德国图宾根大学医院的ESUS患者中对我们的模型进行了独立验证。
共对297例ESUS患者进行了15.6±7.6个月的随访。新发AF(46例患者,15.4%)发生的中位时间为105天(第25至75百分位数为31 - 33天)。次要结局为复发性中风发生率7.7%,死亡率6.1%。多变量校正分析确定心律不规则负担是最强的AF预测因素(风险比3.12,95%置信区间1.62 - 5.80,p < 0.0001),同时考虑了已知风险因素年龄、CHA₂DS₂-VASc评分和NT-proBNP。独立验证证实心律不规则负担是最显著的AF预测因素(风险比2.20,95%置信区间1.45 - 3.33,p < 0.0001)。
这种基于心电图的新型非侵入性心律不规则负担可能有助于判定ESUS后的AF风险,并随后指导ESUS后的AF检测。临床试验需要阐明AF高风险患者是否能从针对性的二级中风预防中获益。《神经病学纪事》2023年;93:479 - 488。