Chinese Journal of Nursing ›› 2026, Vol. 61 ›› Issue (7): 956-963.DOI: 10.3761/j.issn.0254-1769.2026.07.013

• Multidisciplinary Collaborative Nursing Research • Previous Articles     Next Articles

Symptom network analysis of patients with Wilson’s disease and its nursing implications

SHI Jinrui1(), ZHAN Tingting2,*(), HAO Wenjie2, TU Wenjie1, ZHU Yihang1, ZHANG Xingxing1   

  1. 1 School of NursingAnhui University of Chinese MedicineHefei 230012, China
    2 Third Department of Encephalopathythe First Affiliated Hospital of Anhui University of Chinese MedicineHefei 230031, China
  • Received:2025-12-27 Online:2026-04-10 Published:2026-04-02
  • * Corresponding author: ZHAN Tingting,E-mail:joygoal1116ting@163.com
  • Funding program:
    Anhui Provincial Natural Science Foundation(2408085QH283)

肝豆状核变性患者的症状网络分析及护理启示

史金瑞1(), 占婷婷2,*(), 郝文杰2, 屠文洁1, 朱艺航1, 张杏杏1   

  1. 1 安徽中医药大学护理学院 合肥市 230012
    2 安徽中医药大学第一附属医院脑病三科 合肥市 230031
  • 通讯作者: 占婷婷,E-mail:joygoal1116ting@163.com
  • 作者简介:史金瑞,女,本科(硕士在读),护师,E-mail:903347845@qq.com
  • 基金资助:
    安徽省自然科学基金(2408085QH283)

Abstract:

Objective To investigate the symptom incidence in patients with Wilson’s disease,analyze the complex correlations among symptoms,identify core symptoms and bridge symptoms,and provide a basis for precision symptom management and nursing. Methods A total of 440 patients with Wilson’s disease admitted to the Encephalopathy Center of a tertiary A hospital in Anhui Province from September to December 2025 were selected by convenience sampling. The Chinese version of the Unified Wilson’s Disease Rating Scale was used for symptom assessment. SPSS 27.0 and R 4.4.2 software were employed to construct a partial correlation network of symptoms. Expected Influence(EI) was used to identify core symptoms,and Bridge Expected Influence(Bridge EI) was used to identify bridge symptoms. Tests for network stability and accuracy were also performed. Results The top 5 most prevalent symptoms in patients with Wilson’s disease were in the following order:unstable emotional reactions(94.9%),memory impairment(77.4%),hostility(76.0%),general impairment(71.2%),and speech(66.7%). The core symptoms were A15(finger pinching,EI=1.200) and A18-a(postural tremor,EI=1.175). The bridge symptoms were A11-b(facial masking,Bridge EI=0.337),B7(hepatic encephalopathy,Bridge EI=0.526),and C19(disorientation,Bridge EI=0.878). The symptom network exhibited the characteristics of “intra-symptom cluster synergy and inter-symptom cluster linkage”,with good stability(CS=0.672) and accuracy. Conclusion The core symptoms and bridge symptoms in the symptom network of patients with Wilson’s disease provide clear targets for clinical symptom intervention. Targeted interventions can improve the efficiency of symptom management and offer references for optimizing nursing practice.

Key words: Wilson Disease, Symptom Network, Core Symptoms, Bridge Symptoms, Symptom Management, Nursing Care

摘要:

目的 调查肝豆状核变性患者症状发生率,分析症状间的复杂关联,识别核心症状与桥梁症状,为精准症状管理和护理提供依据。方法 采用便利抽样法,选取2025年9—12月在安徽省某三级甲等医院脑病中心的440例肝豆状核变性患者作为调查对象,使用中文版统一肝豆状核变性评分量表进行症状评估。采用SPSS 27.0和R 4.4.2软件构建症状偏相关网络,采用预期影响值识别核心症状,桥预期影响值识别桥梁症状,并进行网络稳定性与准确性检验。结果 肝豆状核变性患者症状发生率前5名依次为不稳定的情绪反应(94.9%)、记忆障碍(77.4%)、敌对情绪(76.0%)、一般损害(71.2%)、言语(66.7%)。核心症状为A15(手指捏合,预期影响值=1.200)、A18-a(姿位性震颤,预期影响值=1.175);桥梁症状为A11-b(表情缺乏,桥预期影响值=0.337)、B7(肝性脑病,桥预期影响值=0.526)、C19(定向障碍,桥预期影响值=0.878)。症状网络呈现“症状群内协同、症状群间联动”特征,稳定性(稳定性系数=0.672)与准确性良好。结论 肝豆状核变性患者症状网络的核心症状与桥梁症状为临床症状干预提供明确靶点,针对性干预可提升症状管理效率,为优化临床护理实践提供参考。

关键词: 肝豆状核变性, 症状网络, 核心症状, 桥梁症状, 症状管理, 护理