现代医药卫生2026，Vol.42Issue(6)：1215-1220,6.DOI:10.3969/j.issn.1009-5519.2026.06.003
肝癌患者行TACE后癌因性疲乏轨迹变化及预测因素研究
Trajectory changes and predictive factors of cancer-related fatigue in patients with liver cancer after TACE
戴玲香 1蔡丽丽 1黄菁 1邓美晨 1刘晓芹 1邹丰英1
作者信息
- 1. 吉安市中心人民医院,江西 吉安 343000
- 折叠
摘要
Abstract
Objective To investigate the trajectory changes of cancer-related fatigue(CRF)in patients with liver cancer after transarterial chemoembolization(TACE)and to analyze the predictive factors of these trajectory changes.Methods Using convenience sampling,198 patients with liver cancer who underwent TA-CE at the hospital from December 2021 to November 2024 were enrolled.The Multidimensional Fatigue In-ventory(MFI-10)was used to assess patients'CRF levels at baseline,1 week,1 month,and 3 months post-TACE.Growth mixture modeling was employed to determine the optimal number of trajectory classes and to name them.Clinical data were collected from the hospital's electronic medical record system.Univariate analy-sis and multivariate logistic regression were used to identify independent factors influencing trajectory chan-ges.Results Four latent class model of CRF trajectories were identified in the 198 patients with liver cancer after TACE:low-fatigue remission type(52 cases,26.26%),high-fatigue remission type(52 cases,26.26%),moderate-fatigue remission type(58 cases,29.29%),and high-fatigue persistent type(36 cases,18.18%).Uni-variate analysis and multivariate logistic regression showed that age,monthly per capita household income,Hamilton Depression Rating Scale score,Generalized Anxiety Disorder scale score,Pittsburgh Sleep Quality Index score,and Social Support Rating Scale score were all independent factors influencing the CRF trajectory changes in patients with liver cancer after TACE(P<0.05).Conclusion The CRF trajectories in patients with liver cancer after TACE exhibit certain heterogeneity and are influenced by factors such as age,depres-sion,and anxiety.Medical staff can predict CRF trajectory changes based on these influencing factors and im-plement effective interventions accordingly.关键词
肝癌/经动脉化疗栓塞术/癌因性疲乏/预测因素/增长混合模型Key words
Liver cancer/Transarterial chemoembolization/Cancer-related fatigue/Predictive factors/Growth mixture model分类
医药卫生引用本文复制引用
戴玲香,蔡丽丽,黄菁,邓美晨,刘晓芹,邹丰英..肝癌患者行TACE后癌因性疲乏轨迹变化及预测因素研究[J].现代医药卫生,2026,42(6):1215-1220,6.
