Suppr超能文献

急性脑卒中事件后与早发性癫痫发作相关的血液生物标志物。

Correlation of blood biomarkers with early-onset seizures after an acute stroke event.

机构信息

Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Spain.

Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Italy.

出版信息

Epilepsy Behav. 2020 Mar;104(Pt B):106549. doi: 10.1016/j.yebeh.2019.106549. Epub 2019 Oct 31.

Abstract

INTRODUCTION

Blood biomarkers have not been widely studied in stroke-related seizures. In this study, we aimed to describe clinical factors and biomarkers present during acute stroke and to analyze their association with early-onset seizures.

METHODS

We retrospectively evaluated a panel of 14 blood biomarkers in 1115 patients with ischemic and hemorrhagic stroke. Biomarkers were normalized and standardized using Z scores. We also recorded stroke and epilepsy-related variables, including stroke severity (National Institute of Health Stroke Scale [NIHSS] scores), type, and causes, time from onset of stroke to occurrence of early seizures, and type of seizure. Adjusted logistic regression models were built to identify clinical variables and biomarkers independently associated with early seizures.

RESULTS

Mean ± standard deviation (SD) age was 72.3 ± 13.2 years, and 56.8% of the patients were men. Thirty-eight patients (3.9%) developed early seizures with a median time to onset of 1 day (interquartile range (IQR), 0-4). A higher NIHSS score (odds ratio [OR] = 1.046; 95% confidence interval (CI): 1.001-1.094; p = 0.044) and hemorrhagic stroke (OR = 2.133; 95% CI: 1.010-4.504; p = 0.047) were independently associated with a greater risk of early seizures. Independent blood biomarkers predictive of early seizures were lower levels of tumor necrosis factor receptor 1 (TNF-R1) (<0.013) (p = 0.006; OR = 3.334; 95% CI: 1.414-7.864) and higher levels of neural cell adhesion molecule (NCAM) (>0.326) (p = 0.009; OR = 2.625; 95% CI: 1.271-5.420). The predictive power of the regression model was greater when clinical variables were combined with blood biomarkers (73.5%; 95% CI: 65.1%-81.9%) than when used alone (64%; 95% CI: 55%-72.9%).

CONCLUSION

Higher NCAM and lower TNF-R1 levels may help predict the occurrence of early seizures. The combined use of these biomarkers and clinical variables could be useful for identifying patients at risk of seizures. This article is part of the Special Issue "Seizures & Stroke".

摘要

简介

与中风相关的发作中,血液生物标志物尚未得到广泛研究。在这项研究中,我们旨在描述急性中风期间存在的临床因素和生物标志物,并分析它们与早发性发作的关联。

方法

我们回顾性评估了 1115 例缺血性和出血性中风患者的 14 种血液生物标志物。使用 Z 分数对生物标志物进行标准化和标准化。我们还记录了与中风和癫痫相关的变量,包括中风严重程度(国立卫生研究院中风量表[NIHSS]评分)、类型和病因、中风发作到早发性发作的时间以及发作类型。建立了调整后的逻辑回归模型,以确定与早发性发作独立相关的临床变量和生物标志物。

结果

平均年龄±标准差为 72.3±13.2 岁,56.8%的患者为男性。38 名患者(3.9%)出现早发性发作,中位发作时间为 1 天(四分位距(IQR),0-4)。较高的 NIHSS 评分(比值比[OR] = 1.046;95%置信区间(CI):1.001-1.094;p = 0.044)和出血性中风(OR = 2.133;95%CI:1.010-4.504;p = 0.047)与早发性发作的风险增加独立相关。可预测早发性发作的独立血液生物标志物为肿瘤坏死因子受体 1(TNF-R1)水平较低(<0.013)(p = 0.006;OR = 3.334;95%CI:1.414-7.864)和神经细胞黏附分子(NCAM)水平较高(>0.326)(p = 0.009;OR = 2.625;95%CI:1.271-5.420)。当将临床变量与血液生物标志物结合使用时,回归模型的预测能力(73.5%;95%CI:65.1%-81.9%)大于单独使用时(64%;95%CI:55%-72.9%)。

结论

较高的 NCAM 和较低的 TNF-R1 水平可能有助于预测早发性发作的发生。这些生物标志物与临床变量的联合使用可用于识别有癫痫发作风险的患者。本文是“癫痫发作与中风”特刊的一部分。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验