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在自身免疫性脑炎中,炎症比率是疾病严重程度和免疫治疗反应的早期预测因素

Mingxing Yu¹, Nana Zhang¹, Chunyan Chen¹

¹Department of Neurology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.

Journal of neuroimmunology

|October 29, 2025

概括

系统性炎症比率,如中性粒细胞与淋巴细胞比率 (NLR) 和血小板与淋巴细胞比率 (PLR),有效预测自身免疫性脑炎 (AE) 患者的疾病严重程度,免疫治疗反应和死亡率. 这些可访问的生物标志物有助于早期风险分层和个性化治疗.

科学领域:

神经学神经学
免疫学免疫学免疫学
临床诊断临床诊断临床诊断

背景情况:

自身免疫性脑炎 (AE) 是一个诊断和治疗的挑战.
预测AE严重程度,治疗反应和结果的生物标志物对于患者管理至关重要.

研究的目的:

评估和比较AE患者系统性炎症比率 (NLR,PLR,SII,CRP) 的预测值.
评估这些标志物来预测疾病严重程度 (ICU入院),免疫治疗反应和住院死亡率.

主要方法:

在2014年12月至2024年1月期间诊断出389名AE患者的回顾性分析.
收集人口,临床和实验室数据,包括炎症标志物和免疫前治疗.
使用的接收器操作特征 (ROC) 曲线来确定预测性能.

主要成果:

升高的NLR,PLR,SII和CRP与ICU入院相关 (p < 0.05).
通过NLR + CRP (AUC=0.804) 改善的NLR显示了ICU入院的最高预测准确性 (AUC=0.786).
PLR是免疫治疗反应 (AUC=0.728) 和死亡率 (AUC=0.850) 的强有力的预测指标,而SII也预测死亡率 (AUC=0.799).

结论:

系统性炎症比率,特别是NLR和PLR,是AE的可靠生物标志物.
这些标志物有助于对危急疾病,治疗反应和死亡率的早期风险分层.
将其纳入临床实践可以支持AE患者的个性化治疗策略.

关键词:

自身免疫性脑炎的发生.在C-反应性蛋白质中.免疫疗法的反应反应.炎症比率是指炎症比率.在重症监护病房的重症监护病房.预测预测预测的预测.

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