Sun Yuyao, Miller Małgorzata M, Yaghi Shadi, Henninger Nils
Department of Neurology, Duke University, Durham, NC, United States.
Division of Neurology, Neuroscience Institute, Spectrum Health, Grand Rapids, MI, United States.
J Stroke Cerebrovasc Dis. 2022 Jun;31(6):106445. doi: 10.1016/j.jstrokecerebrovasdis.2022.106445. Epub 2022 Mar 24.
Understanding the link between markers of cardiac injury and atrial fibrillation (AF) detected after stroke (AFDAS) may help refine stroke risk stratification and therapeutic approaches in AFDAS.
We retrospectively analyzed 988 adult patients admitted for acute ischemic stroke and transient ischemic attack, who presented within 4.5 h from last known well. Pertinent clinical variables including features of neurogenic cardiac injury (so-called stroke heart syndrome [SHS]) as well as electrocardiographic and echocardiographic markers of cardiac dysfunction, and AF status (no AF n = 574; known AF n = 311; AFDAS; n = 103) were collected. Multivariable logistic regression was used to determine the independent associations of variables with AFDAS.
A total of 264 (26.7%) subjects fulfilled criteria for SHS. Of these, 174 of had SHS features other than AFDAS (non-AF SHS). Among 677 subjects without known AF, presence of non-AF SHS was associated with a 5-fold odds of AFDAS (OR 5.0, 95%-CI 3.1-8.0, p < 0.001). After adjustment, non-AF SHS (OR 3.2, 95%-CI 1.6-6.4, p = 0.001) and the left atrial volume index (OR 1.04, 95%-CI 1.01-1.08, p = 0.004) remained independently associated with AFDAS.
The presence of non-AF SHS features and the left atrial volume index were independently associated with AFDAS indicating diverse mechanisms relating to new onset AF. A better understanding of the links between these markers and AFDAS may help uncover potentially modifiable risk factors for AFDAS as well as aid treatment decisions in patients at risk for new onset AF and ischemic stroke.
了解心脏损伤标志物与卒中后检测到的心房颤动(AFDAS)之间的联系,可能有助于优化AFDAS患者的卒中风险分层和治疗方法。
我们回顾性分析了988例因急性缺血性卒中和短暂性脑缺血发作入院的成年患者,这些患者在最后一次已知健康状态后的4.5小时内就诊。收集了相关临床变量,包括神经源性心脏损伤(所谓的卒中心脏综合征[SHS])的特征以及心脏功能障碍的心电图和超声心动图标志物,以及房颤状态(无房颤n = 574;已知房颤n = 311;AFDAS;n = 103)。采用多变量逻辑回归确定变量与AFDAS的独立关联。
共有264例(26.7%)受试者符合SHS标准。其中,174例具有除AFDAS之外的SHS特征(非AF SHS)。在677例无已知房颤的受试者中,非AF SHS的存在与AFDAS的发生几率增加5倍相关(OR 5.0,95%置信区间3.1 - 8.0,p < 0.001)。调整后,非AF SHS(OR 3.2,95%置信区间1.6 - 6.4,p = 0.001)和左心房容积指数(OR 1.04,95%置信区间1.01 - 1.08,p = 0.004)仍与AFDAS独立相关。
非AF SHS特征的存在和左心房容积指数与AFDAS独立相关,表明与新发房颤相关的多种机制。更好地理解这些标志物与AFDAS之间的联系,可能有助于发现AFDAS潜在的可改变危险因素,并有助于为新发房颤和缺血性卒中风险患者的治疗决策提供帮助。