Electronic Journal of Liver Tumor ›› 2025, Vol. 12 ›› Issue (2): 8-13.

• Original article • Previous Articles     Next Articles

A longitudinal study of the trajectory of change in cancer-related fatigue in patients treated with chemotherapy for advanced hepatocellular carcinoma

Jia Yide1, Cao Zhiguo1, Wu Deping2, Chang Yuanhua2,*, Xiang Zhu1   

  1. 1. Department of General Surgery, Affiliated Hospital of West Anhui Health Vocational College, Lu'an Second People's Hospital, Lu'an 237000, Anhui, China;
    2. Department of Medical Oncology, Affiliated Hospital of West Anhui Health Vocational College, Lu'an Second People's Hospital, Lu'an 237000, Anhui, China
  • Received:2024-05-04 Published:2025-07-29
  • Contact: *Chang Yuanhua, E-mail: changyh1205@163.com

Abstract: Objective: To investigate the trajectory of cancer-related fatigue (CRF) and its influencing factors in chemotherapy patients with advanced hepatocellular carcinoma (HCC).
Methods: Ninety-five patients with advanced HCC treated between October 2021 and October 2023 in Affiliated Hospital of West Anhui Health Vocational College were selected. Patients' CRF was assessed by Piper fatigue scale-revised (PFS-R) before, after and 1 week after 6 chemotherapy sessions. A mixed growth model was used to identify CRF trajectory subtypes. The Kaplan-Meier method was used to analyze the overall survival of different CRF trajectory subtypes. Multifactorial logistic regression was used to analyze the influencing factors of different CRF trajectory subtypes.
Results: A total of four CRF trajectory subtypes were identified in this study: high fatigue fast-growth type in 15 cases (15.8%), high fatigue moderate-growth type in 10 cases (10.5%), moderate fatigue slow-growth type in 29 cases (30.5%) and low fatigue slow-growth type in 41 cases (43.2%). The overall survival rates of high-fatigue rapid-growth, high-fatigue moderate-growth, moderate-fatigue stable, and low-fatigue slow-growth types increased gradually (all P<0.05). Multifactorial logistic regression analysis showed that age, body mass index and C-reactive protein were the common influencing factors for the three CRF growth types (P<0.05); albumin was a independent influencing factors for the moderate-fatigue slow-growth type (P<0.05); and literacy level and mode of residence were the independent influencing factors for the high-fatigue fast-growth type (all P<0.05).
Conclusion: CRF in advanced HCC chemotherapy patients presented four CRF trajectory subtypes, and the unique influencing factors of different CRF trajectory subtypes were identified, which provided clinical basis and new ideas for the personalized and holistic management of CRF in advanced HCC chemotherapy patients.

Key words: Advanced hepatocellular carcinoma, Cancer-caused fatigue, Chemotherapy, Trajectory