左房肌病的标志物:对窦性心律患者缺血性卒中和痴呆的预后有用性。

IF 8.9 1区 医学 Q1 CLINICAL NEUROLOGY Stroke Pub Date : 2025-04-01 Epub Date: 2025-03-07 DOI:10.1161/STROKEAHA.124.047747
Gabriele Masini, Wendy Wang, Yuekai Ji, Anne Eaton, Riccardo M Inciardi, Elsayed Z Soliman, Rod S Passman, Scott D Solomon, Amil M Shah, Raffaele De Caterina, Lin Yee Chen
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引用次数: 0

摘要

背景:左心房(LA)结构或功能异常(LA肌病)的各种测量与缺血性卒中和痴呆的高风险相关,独立于心房颤动。然而,关于其预后有用性的数据有限。因此,我们的目的是评估LA肌病标志物提高缺血性卒中和痴呆预测的能力。方法:ARIC研究(社区动脉粥样硬化风险)是一项前瞻性社区队列研究。在这项分析中,我们纳入了参加第5次就诊(2011-2013年)的参与者,他们没有中风或房颤病史,并且有12导联心电图和经胸超声心动图。LA肌病的标志物包括12导联心电图的P波异常、n端前b型利钠肽NT-proBNP (n -末端前b型利钠肽)和超声心动图的LA容量和应变参数。主要综合结局包括缺血性卒中和痴呆,通过医院监测、队列随访和死亡登记确定。为了确定复合结局风险预测的改善程度,将每个标志物单独加入到包含CHA2DS2-VASc变量的模型中,计算Akaike信息准则、C统计量及其变化。Cox比例风险模型用于评估LA肌病标志物与结果的独立关联。结果:在4712名参与者中(59%为女性;平均年龄74岁),193例缺血性中风和769例痴呆在8.3年的中位随访中被确定。在LA肌病标志物中,只有LA库应变和NT-proBNP加入CHA2DS2-VASc模型后,用于预测综合预后的C统计量显著提高(基础C统计量,0.677)。加入LA储层的模型C统计量增幅最大(0.010 [95% CI, 0.003-0.017]),而加入LA储层的模型赤池信息标准最低。在多变量回归模型中,LA体积指数、NT-proBNP和LA应变参数与综合结果显著相关。结论:在各种LA肌病标志物中,LA库在预测缺血性卒中和痴呆方面的改善最大,支持其用于识别脑血管事件和痴呆高危人群。
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Markers of Left Atrial Myopathy: Prognostic Usefulness for Ischemic Stroke and Dementia in People in Sinus Rhythm.

Background: Various measures of abnormal left atrial (LA) structure or function (LA myopathy) are associated with a higher risk of ischemic stroke and dementia, independent of atrial fibrillation. However, limited data exist on their prognostic usefulness. Therefore, we aimed to assess the ability of markers of LA myopathy to improve the prediction of ischemic stroke and dementia.

Methods: The ARIC study (Atherosclerosis Risk in Communities) is a prospective community-based cohort study. For this analysis, we included participants who attended visit 5 (2011-2013) without a history of stroke or atrial fibrillation and had a 12-lead ECG and a transthoracic echocardiogram. Markers of LA myopathy included P wave abnormalities from 12-lead ECG, NT-proBNP (N-terminal pro-B-type natriuretic peptide), and LA volume and strain parameters from the echocardiogram. The primary composite outcome comprised ischemic stroke and dementia, which were ascertained through hospital surveillance, cohort follow-up, and death registries. To determine improvement in risk prediction of the composite outcome, each marker was individually added to a model that included CHA2DS2-VASc variables, and Akaike information criterion, C statistic, and its change were computed. Cox proportional hazards models were used to assess the independent association of LA myopathy markers with the outcome.

Results: Among 4712 participants (59% female; mean age, 74 years), 193 ischemic strokes and 769 dementia cases were ascertained over a median follow-up of 8.3 years. Of LA myopathy markers, only LA reservoir strain and NT-proBNP significantly improved C statistic when added to the CHA2DS2-VASc model (base C statistic, 0.677) for the prediction of the composite outcome. Adding the LA reservoir yielded the highest increase in C statistic (0.010 [95% CI, 0.003-0.017]), and the model including the LA reservoir showed the lowest Akaike information criterion. In multivariable regression models, LA volume index, NT-proBNP, and LA strain parameters were significantly associated with the composite outcome.

Conclusions: Of various LA myopathy markers, LA reservoir yields the greatest improvement in the prediction of ischemic stroke and dementia, supporting its use to identify people at high risk of cerebrovascular events and dementia.

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来源期刊
Stroke
Stroke 医学-临床神经学
CiteScore
13.40
自引率
6.00%
发文量
2021
审稿时长
3 months
期刊介绍: Stroke is a monthly publication that collates reports of clinical and basic investigation of any aspect of the cerebral circulation and its diseases. The publication covers a wide range of disciplines including anesthesiology, critical care medicine, epidemiology, internal medicine, neurology, neuro-ophthalmology, neuropathology, neuropsychology, neurosurgery, nuclear medicine, nursing, radiology, rehabilitation, speech pathology, vascular physiology, and vascular surgery. The audience of Stroke includes neurologists, basic scientists, cardiologists, vascular surgeons, internists, interventionalists, neurosurgeons, nurses, and physiatrists. Stroke is indexed in Biological Abstracts, BIOSIS, CAB Abstracts, Chemical Abstracts, CINAHL, Current Contents, Embase, MEDLINE, and Science Citation Index Expanded.
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