Objective To explore cancer-related fatigue (CRF) trajectory and correlates in acute myeloid leukemia patients during remission induction therapy, and to provide reference for implementing specific interventions. Methods A total of 183 patients with acute myeloid leukemia receiving remission induction therapy were recruited using convenience sampling.They were asked to complete a demographic questionnaire and the Cancer Fatigue Scale （CFS）.Latent growth mixture modeling （LGMM） was used to discern distinct trajectories of CFS, and the correlates were analyzed. Results The CFS scores were 22.86±3.75, 26.39±4.12, 31.71±4.64, 36.54±5.25, and 39.63±5.06 at one day before treatment, one, two and three weeks after commence of treatment, and one day after completion of treatment.The CFS scores at 5 time points showed significantly positive correlation. Three CFS trajectory classes were identified:high stable （48.09% of the sample）, increasing （34.42%）, and low stable （17.49%）.Multivariate logistic regression revealed that compared with the low stable trajectory class, predictors for the high stable trajectory were reporting of sleep disorders, hemoglobin ＜60 g/L, and low social support （all P＜0.05）, and the increasing trajectory was associated with reporting of sleep disorders and comorbid gastrointestinal symptoms （both P＜0.05）. Conclusion There are three CFS trajectories in acute myeloid leukemia patients during remission induction treatment.Healthcare personnel should formulate nursing interventions according to distinct developmental trajectories of CFS and the influencing factors, so as to alleviate patients′ fatigue.