Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Fanyang Street 119, Beijing, 100070, China.
China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
J Neurol. 2023 Jul;270(7):3391-3401. doi: 10.1007/s00415-023-11693-3. Epub 2023 Apr 4.
Growing evidence suggests that atrial cardiomyopathy may play an essential role in thrombosis and ischemic stroke. The aim of this systematic review and meta-analysis was to quantify the values of cardiomyopathy markers for predicting ischemic stroke risk.
PubMed, Embase, and the Cochrane Library were searched for longitudinal cohort studies evaluating the association between cardiomyopathy markers and incident ischemic stroke risk.
We included 25 cohort studies examining electrocardiographic, structural, functional, and serum biomarkers of atrial cardiomyopathy involving 262,504 individuals. P-terminal force in the precordial lead V1 (PTFV1) was found to be an independent predictor of ischemic stroke as both a categorical variable (HR 1.29, CI 1.06-1.57) and a continuous variable (HR 1.14, CI 1.00-1.30). Increased maximum P-wave area (HR 1.14, CI 1.06-1.21) and mean P-wave area (HR 1.12, CI 1.04-1.21) were also associated with an increased risk of ischemic stroke. Left atrial (LA) diameter was independently associated with ischemic stroke as both a categorical variable (HR 1.39, CI 1.06-1.82) and a continuous variable (HR 1.20, CI 1.06-1.35). LA reservoir strain independently predicted the risk of incident ischemic stroke (HR 0.88, CI 0.84-0.93). N-terminal pro-brain natriuretic peptide (NT-proBNP) was also associated with incident ischemic stroke risk, both as a categorical variable (HR 2.37, CI 1.61-3.50) and continuous variable (HR 1.42, CI 1.19-1.70).
Atrial cardiomyopathy markers, including electrocardiographic markers, serum markers, LA structural and functional markers, can be used to stratify the risk of incident ischemic stroke.
越来越多的证据表明心房心肌病可能在血栓形成和缺血性卒中中起重要作用。本系统评价和荟萃分析的目的是量化心肌病标志物预测缺血性卒中风险的价值。
检索 PubMed、Embase 和 Cochrane 图书馆,评估了评估心房心肌病标志物与缺血性卒中风险之间关联的纵向队列研究。
我们纳入了 25 项研究,涉及 262504 名个体的心电图、结构、功能和血清心房心肌病标志物。胸前导联 V1 的 P 波终末电势(PTFV1)被认为是缺血性卒中的独立预测因子,无论是作为分类变量(HR 1.29,CI 1.06-1.57)还是连续变量(HR 1.14,CI 1.00-1.30)。最大 P 波面积(HR 1.14,CI 1.06-1.21)和平均 P 波面积(HR 1.12,CI 1.04-1.21)增加也与缺血性卒中风险增加相关。左心房(LA)直径既是分类变量(HR 1.39,CI 1.06-1.82)也是连续变量(HR 1.20,CI 1.06-1.35)与缺血性卒中独立相关。LA 储备应变独立预测缺血性卒中事件风险(HR 0.88,CI 0.84-0.93)。N 末端脑钠肽前体(NT-proBNP)也是缺血性卒中风险的相关因素,无论是作为分类变量(HR 2.37,CI 1.61-3.50)还是连续变量(HR 1.42,CI 1.19-1.70)。
心房心肌病标志物,包括心电图标志物、血清标志物、LA 结构和功能标志物,可用于分层缺血性卒中事件的风险。