闪光视觉诱发电位、视神经鞘直径、白细胞介素6及白细胞介素8在重症脑血管病中的应用研究进展

Research progress on the application of flash visual evoked potential, optic nerve sheath diameter, interleukin-6, and interleukin-8 in severe cerebrovascular disease

摘要:

随着脑血管病发病率的持续上升，重症脑血管病（SCVD）作为其最严重类型，发病率亦逐年增高，给临床救治带来巨大挑战。多模态监测技术在SCVD救治中地位愈发凸显，其中颅内压（ICP）监测是优化救治效果、改善患者预后的关键手段。有创ICP监测虽为金标准，但因高风险、高成本限制了其广泛应用，而闪光视觉诱发电位（FVEP）、视神经鞘直径（ONSD）等无创ICP监测技术展现出良好应用潜力，可实时动态评估ICP变化。同时，白细胞介素6（IL-6）、白细胞介素8（IL-8）等炎症因子参与SCVD的病理生理过程，其血清浓度变化与疾病进展及预后密切相关。该文结合现有文献，综述FVEP、ONSD两种无创ICP监测技术及IL-6、IL-8两种炎症因子在SCVD中的应用进展，分析四者之间的内在关联、联合应用的潜在价值，探讨其在SCVD多模态监测体系中的整合意义，同时指出当前研究存在的不足，为后续临床研究及预后预测模型的构建提供参考。

Abstract:

With the continuous increase in the incidence of cerebrovascular diseases， the occurrence of severe cerebrovascular disease （SCVD）， the most severe form of cerebrovascular diseases， has also been increasing year by year， posing great challenges to clinical treatment. Multimodal monitoring plays an increasingly prominent role in the treatment of SCVD， among which intracranial pressure （ICP） monitoring is a key approach to optimizing treatment outcomes and improving prognosis. Although invasive ICP monitoring is regarded as the gold standard， its widespread application is limited by its high risk and cost. Non-invasive ICP monitoring techniques， such as flash visual evoked potential and optic nerve sheath diameter， have shown good application potential and enable real-time dynamic assessment of ICP changes. Moreover， inflammatory factors such as interleukin-6 and interleukin-8 are involved in the pathophysiological process of SCVD， and changes in their serum levels are closely related to disease progression and prognosis. Based on existing literature， this article reviews the research progress in the application of two non-invasive ICP monitoring techniques （flash visual evoked potential and optic nerve sheath diameter） and two inflammatory factors （interleukin-6 and interleukin-8） in SCVD， analyzes their correlations and the potential value of their combined application， explores the significance of integrating them into the multimodal monitoring system for SCVD， and points out the deficiencies of current research， so as to provide a reference for subsequent clinical research and prognosis prediction model construction.