中华护理杂志 ›› 2026, Vol. 61 ›› Issue (10): 1371-1378.DOI: 10.3761/j.issn.0254-1769.2026.10.010

• 专科护理实践与研究 • 上一篇    下一篇

头颈部肿瘤放化疗患者症状演变及护理启示

杨雯雯1(), 王嘉煜2, 李素芳1, 杜羿霏3, 赵瑞4, 陈梦然5, 李园园1, 徐晓霞5()   

  1. 1 郑州大学附属肿瘤医院/河南省肿瘤医院头颈外科 郑州市 450008
    2 河南中医药大学护理学院/智慧康养护理行业学院 郑州市 450046
    3 郑州大学附属肿瘤医院/河南省肿瘤医院ICU 郑州市 450008
    4 郑州大学附属肿瘤医院/河南省肿瘤医院消毒供应中心 郑州市 450008
    5 郑州大学附属肿瘤医院/河南省肿瘤医院护理部 郑州市 450008
  • 收稿日期:2026-01-08 出版日期:2026-05-20 发布日期:2026-05-09
  • *通讯作者: 徐晓霞,E-mail:xuxiaoxia2007@126.com
  • 作者简介:杨雯雯:女,硕士,主管护师,E-mail:1617159790@qq.com
    第一联系人:

    杨雯雯:研究设计、实施研究、论文撰写;王嘉煜:数据整理、统计学分析;李素芳:问卷调查/数据收集、研究指导;杜羿霏、赵瑞、陈梦然、李园园:数据整理、论文审阅;徐晓霞:研究指导、论文修改

  • 基金资助:
    河南省医学科技攻关计划项目(LHGJ20230095)

Dynamic evolution of symptom networks in head and neck cancer patients undergoing chemoradiotherapy and nursing implications

YANG Wenwen1(), WANG Jiayu2, LI Sufang1, DU Yifei3, ZHAO Rui4, CHEN Mengran5, LI Yuanyuan1, XU Xiaoxia5()   

  1. 1 Department of Head and Neck Surgerythe Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer HospitalZhengzhou 450008, China
    2 School of NursingHenan University of Chinese MedicineZhengzhou 450046, China
    3 Intensive Care Unitthe Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer HospitalZhengzhou 450008, China
    4 Central Sterile Supply Departmentthe Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer HospitalZhengzhou 450008, China
    5 Department of Nursingthe Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer HospitalZhengzhou 450008, China.
  • Received:2026-01-08 Online:2026-05-20 Published:2026-05-09
  • * Corresponding author: XU Xiaoxia,E-mail:xuxiaoxia2007@126.com
  • Funding program:
    Henan Provincial Medical Science and Technology Research Project(LHGJ20230095)

摘要:

目的 探索头颈部肿瘤放化疗患者症状网络的时序演变规律,为精准症状管理提供参考。方法 采用前瞻性纵向研究设计,便利选取2024年1月—2025年8月河南省某三级甲等肿瘤专科医院行放化疗的330例头颈部肿瘤患者,采用安德森症状评估量表-头颈部模块,分别于放化疗前(T0)、放化疗第3周(T1)、放化疗结束时(T2)进行评估。应用R 4.5.2软件进行症状动态网络分析,并评估网络稳定性。结果 最终275例患者完成全部评估并纳入分析。T1口干发生率最高(82.9%),T2口腔/喉咙溃疡发生率最高(90.2%)。动态网络分析结果显示:T0至T1阶段,口腔/喉咙溃疡发出预测边最多,口干出预期影响系数最高(预期影响系数=2.365),二者共同构成早期双核心驱动症状;T1至T2阶段,吞咽/咀嚼困难取代前者成为发出预测边最多且出预期影响系数最高的症状(预期影响系数=3.506);两阶段中食欲不振与吞咽/咀嚼困难为桥梁预期影响系数最高的症状,且网络整体连接强度呈递增趋势,网络稳定性良好。结论 头颈部肿瘤放化疗患者症状网络呈时序动态性,提示护理人员应实施分阶段前瞻性症状监测与靶向干预,阻断症状介导的跨群传播链路,以延缓功能衰退,优化患者的生活质量。

关键词: 头颈部肿瘤, 放化疗, 症状管理, 网络分析, 护理

Abstract:

Objective To explore the temporal evolution of symptom networks in patients with head and neck cancer undergoing chemoradiotherapy,and to inform precise symptom management strategies.Methods A prospective longitudinal study design was adopted. A convenience sample of 330 patients undergoing chemoradiotherapy was recruited from the head and neck surgery department of a tertiary oncology hospital in Henan Province between January 2024 and August 2025. The M.D. Anderson Symptom Inventory-Head and Neck Module was used to assess symptoms at 3 time points:before chemoradiotherapy(T0),at week 3 of chemoradio-therapy(T1),and at treatment completion(T2). Dynamic symptom network analysis was performed using R 4.5.2 software,and network stability was evaluated.Results A total of 275 patients completed all assessments and were included in the final analysis. Dry mouth had the highest incidence at T1(82.9%),and oral/throat sores had the highest incidence at T2(90.2%). Dynamic network analysis revealed that during the T0-to-T1 phase,oral/throat sores had the most outgoing predictive edges and dry mouth had the highest out-expected influence(EI=2.365). During the T1-to-T2 phase,difficulty swallowing/chewing emerged as the symptom with the most outgoing predictive edges and the highest out-expected influence(EI=3.506). Lack of appetite and difficulty swallowing/chewing had the highest bridge expected influence,and the overall network connectivity strength increased. Network stability tests yielded satisfactory to acceptable results.Conclusion The symptom network in patients with head and neck cancer undergoing chemoradiotherapy exhibits temporal dynamics. These findings suggest that nurses should implement phase-specific proactive symptom monitoring and preventive targeted interventions to interrupt cross-cluster symptom propagation,thereby mitigating functional decline,and optimizing overall quality of life.

Key words: Head and Neck Cancer, Chemoradiotherapy, Symptom Management, Network Analysis, Nursing Care