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203例胶质瘤患者睡眠障碍与炎症细胞因子的关联分析
引用本文:李华玉,时萧寒,张新蕊,李峰.203例胶质瘤患者睡眠障碍与炎症细胞因子的关联分析[J].山东大学学报(医学版),2022,60(12):26-30.
作者姓名:李华玉  时萧寒  张新蕊  李峰
作者单位:1.山东大学护理与康复学院, 山东 济南 250012;2.山东第一医科大学附属肿瘤医院神经外科, 山东 济南 250117
基金项目:山东省重点研发计划项目(2017GSF218028)
摘    要:目的 研究胶质瘤患者的睡眠状况,探讨与睡眠障碍有关的炎症因素。 方法 选取2020年12月至2021年12月收治入院的203例胶质瘤患者,使用匹兹堡睡眠质量指数量表(PSQI)调查患者睡眠状况,同时检测患者血浆炎症细胞因子水平,采用单因素分析及二分类Logistic回归分析确定睡眠障碍的危险因素,使用支持向量机(SVM)进一步确定预测模型精确性。 结果 203例胶质瘤患者中,52.7%的患者存在睡眠障碍。二分类Logistic回归分析显示,接受手术(OR=0.491,95%CI=0.245~0.985,P=0.045)是胶质瘤患者未发生睡眠障碍的保护因素;IL-1β(OR=1.838, 95%CI=1.070~3.158,P=0.028)和IL-6(OR=3.627,95%CI=1.453~9.054,P=0.006)高水平表达是患者发生睡眠障碍的危险因素。SVM结果显示,三者预测患者睡眠障碍模型产生的受试者工作特征曲线(ROC)下面积(AUC)为0.793,精确性为0.720(95%CI =0.575~0.838)。 结论 胶质瘤患者睡眠障碍发生率较高,炎症细胞因子IL-1β和IL-6表达水平升高与睡眠障碍发生风险密切相关。

关 键 词:胶质瘤  睡眠障碍  炎症  细胞因子  生物学机制  

Association between sleep disturbance and inflammatory cytokines in 203 patients with glioma
LI Huayu,SHI Xiaohan,ZHANG Xinrui,LI Feng.Association between sleep disturbance and inflammatory cytokines in 203 patients with glioma[J].Journal of Shandong University:Health Sciences,2022,60(12):26-30.
Authors:LI Huayu  SHI Xiaohan  ZHANG Xinrui  LI Feng
Institution:1. School of Nursing and Rehabilitation, Shandong University, Jinan 250012, Shandong, China;2. Department of Neurosurgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, Shandong, China
Abstract:Objective To investigate the incidence of sleep disturbance and the inflammatory factors related to sleep disturbance in patients with glioma. Methods A total of 203 patients with glioma admitted during Dec. 2020 and Dec. 2021 were surveyed with Pittsburgh Sleep Quality Index(PSQI). The plasma inflammatory cytokines were measured. The independent risk factors of sleep disturbance were identified with univariate analysis and binary Logistic regression. The robustness and accuracy of the prediction model were confirmed with support vector machine(SVM)model. Results Of all 203 patients, 52.7% had sleep disturbance. Binary Logistic regression analysis showed that receiving surgery(OR=0.491, 95%CI=0.245-0.985, P=0.045)was a protective factor, while increased expressions of IL-1β(OR=1.838, 95%CI=1.070-3.158, P=0.028)and IL-6(OR=3.627, 95%CI=1.453-9.054, P=0.006)were risk factors. The results of SVM model demonstrated the area under the receiver operating characteristic(AUC)of the prediction model was 0.793, and the accuracy was 0.720(95%CI=0.575-0.838). Conclusion The incidence of sleep disturbance in glioma patients is high, and elevated expressions of IL-1β and IL-6 are closely related to the risk of sleep disturbance.
Keywords:Glioma  Sleep disturbance  Inflammation  Cytokines  Biological mechanism  
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