原发性三叉神经痛患者焦虑症状的网络分析

Network analysis of anxiety symptoms in patients with primary trigeminal neuralgia

摘要:

【】目的 本研究旨在研究原发性三叉神经痛(trigeminal neuralgia, TN)患者的焦虑症状网络结构,并识别关键症状,为预防和干预提供参考。方法 采用网络分析技术,对来自三级甲等综合医院的339名原发性三叉神经痛患者的焦虑症状进行了深入分析,特别关注症状在网络中的重要性。利用R软件的高级统计功能对数据进行了深入分析。结果 焦虑症状网络分析揭示了症状“由于头痛、颈痛以及背痛,我感到极度痛苦(A7)”与“我感到容易衰弱和疲乏(A8)”之间存在最强的关联(非正则化偏相关系数分别为0.75)。中心性分析表明,症状“我无缘无故地感到害怕(A2)”和“我比平时更容易感到紧张和焦虑(A1)”具有最强的预测性影响,其预测性影响值分别为2.17和1.78(Z分数)。结论 在本项研究中,我们首次采用网络分析技术来探究原发性三叉神经痛患者焦虑症状的内在联系。研究结果指出,症状“我无缘无故地感到害怕(A2)”和“我比平时更容易感到紧张和焦虑(A1)”是焦虑症状网络中的核心节点。针对这两个核心症状进行干预,有望显著降低整个焦虑症状网络的严重程度。

Abstract:

【】 Objective To study the network structure of anxiety symptoms in patients with primary trigeminal neuralgia (TN) and identify the key symptoms, so as to provide reference for prevention and intervention. Methods The anxiety symptoms of 339 patients with primary trigeminal neuralgia were analyzed by network analysis technique, especially the importance of the symptoms in the network. The advanced statistical function of R software is used to analyze the data in depth. Results Network analysis of anxiety symptoms revealed the strongest association between the symptoms "I feel extremely miserable due to headache, neck pain, and back pain (A7)" and "I feel weak and fatigued easily (A8)" (non-regularized partial correlation coefficients of 0.75, respectively). Centrality analysis showed that the symptoms "I feel scared for no reason (A2)" and "I feel more nervous and anxious than usual (A1)" had the strongest predictive impact, with predictive impact values of 2.17 and 1.78 (Z-scores), respectively. Conclusion In this study, we used network analysis technology for the first time to explore the internal relationship of anxiety symptoms in patients with primary trigeminal neuralgia. The findings point to the symptoms "I feel scared for no reason (A2)" and "I feel more nervous and anxious than usual (A1)" as core nodes in the anxiety symptom network. Interventions targeting these two core symptoms hold the promise of significantly reducing the severity of the entire network of anxiety symptoms.