Symptom clusters of patients with advanced thyroid cancer: a cross-sectional study

被引:0
|
作者
Cai, Ming [1 ]
Gou, Juxiang [1 ]
机构
[1] Sichuan Univ, West China Hosp, Dept Gen Surg, Div Thyroid Surg, Chengdu 610041, Peoples R China
关键词
Advanced thyroid cancer; Symptom cluster; Interference; Mood distress; Disturbed sleep; Fatigue;
D O I
10.1007/s12020-024-04051-4
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
PurposeTo investigate and analyze the symptom clusters of patients with advanced thyroid cancer and provide a basis for developing targeted symptom management measures.MethodsPatients who visited a multidisciplinary outpatient service for advanced thyroid cancer at a tertiary A hospital in Sichuan Province from April 2022 to April 2023 were selected using convenience sampling. A cross-sectional survey was conducted using the M.D. Anderson Symptom Inventory-Thyroid Cancer module (MDASI-THY). Symptom clusters were extracted by exploratory factor analysis.ResultsDisturbed sleep had the highest incidence (75.7%) and severity (3.0 points), while mood distress had the highest incidence (63.5%) and severity (2.0 points) of symptom interference. Three symptom clusters were identified: mood-fatigue-sleep, digestive tract-sensation, and thyroid cancer-specific symptom clusters.ConclusionPatients with advanced thyroid cancer have multiple symptom clusters that seriously affect their daily lives. Health care professionals should conduct targeted observation and preventive treatment to reduce the burden of symptoms on patients.
引用
收藏
页码:718 / 723
页数:6
相关论文
共 50 条
  • [1] Symptom clusters and core symptoms of Chinese patients with lung cancer: a cross-sectional study
    Li, Yunhuan
    Hu, Xiaolin
    LANCET REGIONAL HEALTH-WESTERN PACIFIC, 2025, 55
  • [2] Symptom burden survey and symptom clusters in patients with cervical cancer: a cross-sectional survey
    Zhou, Kai-nan
    Wang, Yan
    Xie, Yi
    Yang, Shu-han
    Liu, Su-ying
    Fang, Yu-hang
    Zhang, Ying
    SUPPORTIVE CARE IN CANCER, 2023, 31 (06)
  • [3] Symptom burden survey and symptom clusters in patients with cervical cancer: a cross-sectional survey
    Kai-nan Zhou
    Yan Wang
    Yi Xie
    Shu-han Yang
    Su-ying Liu
    Yu-hang Fang
    Ying Zhang
    Supportive Care in Cancer, 2023, 31
  • [4] Symptom clusters and characteristics of cervical cancer patients receiving concurrent chemoradiotherapy: A cross-sectional study
    Tie, Hao
    Shi, Limei
    Wang, Li
    Hao, Xinyu
    Fang, Hongyan
    Li, Lirong
    HELIYON, 2023, 9 (12)
  • [5] Symptom clusters associated with complementary and alternative medicine use by cancer patients: A cross-sectional study
    Huemer, Matthias
    Pansi, Anna
    Hofmann, Guenter
    Terbuch, Angelika
    Sciri, Elisabeth
    Lipp, Rainer
    Spiegelberg, Jasmin Alija
    Jahn-Kuch, Daniela
    Pichler, Martin
    PLOS ONE, 2023, 18 (12):
  • [6] Symptom clusters and network analysis in patients with gynecologic cancer undergoing chemotherapy: A cross-sectional study
    Zhang, Jiajia
    Wang, Shan
    Wang, Yuan
    Zhuang, Jiaru
    Hang, Ling
    Wu, Yibo
    Xu, Dewu
    Huang, Chunyan
    ASIA-PACIFIC JOURNAL OF ONCOLOGY NURSING, 2024, 11 (12)
  • [7] Cross-sectional study of pain and symptom clusters in MS
    Heric-Mansrud, Adnan
    Moen, Stine Marit
    Haugstad, Gro Killi
    Beiske, Antonie G.
    MULTIPLE SCLEROSIS JOURNAL, 2017, 23 (06) : 890 - 891
  • [8] Symptoms and negative emotions in patients with advanced thyroid cancer: a prospective cross-sectional study
    Cai, Ming
    Gou, Juxiang
    BMC CANCER, 2024, 24 (01)
  • [9] Symptom clusters and symptom interference of HCC patients undergoing TACE: a cross-sectional study in China
    Cao, Wenting
    Li, Juan
    Hu, Chen
    Shen, Jie
    Liu, Xiangyan
    Xu, Yan
    Ye, Zhixia
    SUPPORTIVE CARE IN CANCER, 2013, 21 (02) : 475 - 483
  • [10] Symptom clusters and symptom interference of HCC patients undergoing TACE: a cross-sectional study in China
    Wenting Cao
    Juan Li
    Chen Hu
    Jie Shen
    Xiangyan Liu
    Yan Xu
    Zhixia Ye
    Supportive Care in Cancer, 2013, 21 : 475 - 483