Electronic Journal of Liver Tumor ›› 2024, Vol. 11 ›› Issue (2): 94-99.

• Nursing field • Previous Articles     Next Articles

Study on the development track of early fatigue after liver transplantation

Xi Shuangmei1, Zhang Lili2, Gu Yanmei1, Guo Huimin2, Liu Xin1, Zheng Yulin1, Jin Boxun1, Li Guangming3,*   

  1. 1. Department of Critical Care Medicine, Beijing You'an Hospital, Capital Medical University, Beijing 100069, China;
    2. Department of Nursing,Beijing You' an Hospital, Capital Medical University, Beijing 100069, China;
    3. Surgery Center, Beijing You'an Hospital affiliated to Capital Medical University, Beijing 100069, China
  • Received:2024-02-22 Online:2024-06-30 Published:2024-09-05
  • Contact: *Li Guangming, E-maill:liguangming917@163.com

Abstract: Objective: To explore the development track of early fatigue after liver transplantation and its influencing factors.
Methods: 96 liver transplant patients who were followed up in the liver transplant center of our hospital from January 2019 to March 2023 were selected as the research objects. Fatigue assessment scale (FAI) was used to evaluate the fatigue of patients at 1 week, 2 weeks, 1 month, 3 months and 6 months after liver transplantation, and growth mixed model (LGMM) was used to analyze and identify the early fatigue development track of patients after liver transplantation. The general data, social support and psychological state of patients were collected, and the influencing factors of patients' early fatigue development track were analyzed by multi-classification Logistic regression.
Results: During the 6-month follow-up, there were 91 patients with complete follow-up data of FAI scale, and finally 91 patients were included. LGMM analysis showed that the early fatigue development trend of patients after liver transplantation was divided into three types, namely, descending group(n=36), stable group(n=34) and ascending group(n=21). The fatigue development of all three groups had a time effect. The FAI score of descending group decreased significantly with time, while that of stable group did not change significantly with time, while that of ascending group increased significantly with time. Logistic regression analysis showed that age, anxiety, depression, sleep status and social support level were the influencing factors of early fatigue development after liver transplantation (P<0.05).
Conclusion: The development track of early fatigue in patients after liver transplantation is heterogeneous, and there are different types of development trends, among which age, anxiety, depression, sleep state and social support level are the influencing factors.

Key words: Liver transplantation, Fatigue, Development track, Influencing factor, Growth mixed model