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多因素预测与中风相关的晚期癫痫发作:基于现有预后模型对分层的现有可能性的评估——全面综述。

Multifactorial Predictors of Late Epileptic Seizures Related to Stroke: Evaluation of the Current Possibilities of Stratification Based on Existing Prognostic Models-A Comprehensive Review.

机构信息

Department of Neurology, Faculty of Medicine, Nicolaus Copernicus University in Toruń, Collegium Medicum in Bydgoszcz, 85-094 Bydgoszcz, Poland.

Center of Neurology, Vilnius University, LT-08661 Vilnius, Lithuania.

出版信息

Int J Environ Res Public Health. 2021 Jan 26;18(3):1079. doi: 10.3390/ijerph18031079.

DOI:10.3390/ijerph18031079
PMID:33530431
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7908250/
Abstract

: Epilepsy associated with strokes is a significant clinical and public health problem and has a negative impact on prognosis and clinical outcome. A late epileptic seizure occurring seven days after stroke is actually equated with poststroke epilepsy due to the high risk of recurrence. Predictive models evaluated in the acute phase of stroke would allow for the stratification and early selection of patients at higher risk of developing late seizures. : The most relevant papers in this field were reviewed to establish multifactorial predictors of late seizures and attempt to standardize and unify them into a common prognostic model. : Clinical and radiological factors have become the most valuable and reproducible predictors in many reports, while data on electroencephalographic, genetic, and blood biomarkers were limited. The existing prognostic models, CAVE and SeLECT, based on relevant, readily available, and routinely assessed predictors, should be validated and improved in multicenter studies for widespread use in stroke units. : Due to contradictory reports, a common and reliable model covering all factors is currently not available. Further research might refine forecasting models by incorporating advanced radiological neuroimaging or quantitative electroencephalographic analysis.

摘要

: 与中风相关的癫痫是一个重大的临床和公共卫生问题,对预后和临床结果有负面影响。中风后 7 天发生的迟发性癫痫实际上等同于中风后癫痫,因为其复发风险很高。在中风急性期评估的预测模型将允许对具有更高发生迟发性发作风险的患者进行分层和早期选择。 : 为了确定迟发性发作的多因素预测因素,并尝试将其标准化和统一到一个通用的预后模型中,对该领域的最相关论文进行了综述。 : 在许多报告中,临床和影像学因素已成为最有价值和可重复的预测因素,而关于脑电图、遗传和血液生物标志物的数据则有限。现有的基于相关、易于获得和常规评估的预测因素的预后模型 CAVE 和 SeLECT 应在多中心研究中进行验证和改进,以便在中风病房中广泛使用。 : 由于报告存在矛盾,目前尚无涵盖所有因素的通用和可靠模型。进一步的研究可能通过纳入先进的影像学神经影像学或定量脑电图分析来完善预测模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06cf/7908250/7f86563911b8/ijerph-18-01079-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06cf/7908250/7f86563911b8/ijerph-18-01079-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06cf/7908250/7f86563911b8/ijerph-18-01079-g001.jpg

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引用本文的文献

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Clinical Biomarkers and Prediction Models for Poststroke Epilepsy: Have We Settled the Scores Yet?中风后癫痫的临床生物标志物和预测模型:我们解决问题了吗?
Neurol Clin Pract. 2023 Apr;13(2):e200146. doi: 10.1212/CPJ.0000000000200146. Epub 2023 Mar 14.
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Epilepsy in Cerebrovascular Diseases: A Narrative Review.

本文引用的文献

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Blood biomarkers predictive of epilepsy after an acute stroke event.急性脑卒中后预测癫痫的血液生物标志物。
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Risk factors for seizures after intracerebral hemorrhage: Ethnic/Racial Variations of Intracerebral Hemorrhage (ERICH) Study.脑出血后癫痫发作的风险因素:颅内出血的种族/民族差异(ERICH)研究。
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Stroke-related epilepsy.与中风相关的癫痫。
脑血管病相关癫痫:一篇叙述性综述。
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Early EEG predicts poststroke epilepsy.早期脑电图可预测中风后癫痫。
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Association between different acute stroke therapies and development of post stroke seizures.不同急性卒中治疗方法与卒中后癫痫发作发生之间的关联
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Prediction of late seizures after ischaemic stroke with a novel prognostic model (the SeLECT score): a multivariable prediction model development and validation study.新型预后模型(SELECT 评分)预测缺血性脑卒中后迟发性癫痫:多变量预测模型的开发和验证研究。
Lancet Neurol. 2018 Feb;17(2):143-152. doi: 10.1016/S1474-4422(17)30404-0.
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Do Video-EEG Monitoring Findings in ICU Patients With Acute Stroke Predict Development of Seizures and Survival During Follow-up?重症监护病房急性卒中患者的视频脑电图监测结果能否预测随访期间癫痫发作的发生及生存情况?
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Epileptic manifestations in stroke patients treated with intravenous alteplase.接受静脉注射阿替普酶治疗的中风患者的癫痫表现。
Eur J Neurol. 2017 Jun;24(6):755-761. doi: 10.1111/ene.13292. Epub 2017 Apr 18.