Objective To explore the trajectory of cancer-related fatigue (CRF) in lung cancer patients undergoing chemotherapy, and the influencing factors.

Methods Totally, 250 lung cancer patients undergoing chemotherapy in Zhongshan Hospital, Fudan University from December 2020 to December 2021 were prospectively selected, and the CRF was investigated before chemotherapy, at the end of chemotherapy and one week after chemotherapy. A growth hybrid model was used to identify trajectory types of CRF. Logistic regression was used to analyzed the influencing factors of cancer-induced fatigue.

Results Six different trajectories of CRF were identified: mild fatigue stable type (n=114, 45.78%), mild fatigue slow growth type (n=32, 12.85%), mild fatigue high growth type (n=13, 5.22%), moderate fatigue slow growth type (n=49, 19.68%), moderate fatigue relief type (n=17, 6.83%), and high fatigue relief type (n=24, 9.64%). Logistic regression analysis showed that occupation, living mode, household monthly income per capita, medical burden, cough, smoking status, body mass index (BMI), vomiting, with or without comorbidities, red blood cell count were the influencing factors of CRF (P < 0.05).

Conclusions There were 6 times of different CRF trajectories in lung cancer patients undergoing chemotherapy from the first chemotherapy to the end of 6 times of chemotherapy, and there were individual differences. The influencing factors of CRF in different treatment periods are different, and personalized interventions should be provided according to the different development characteristics and influencing factors of patients.