Objective To explore the potential trajectory categories of fatigue degree in patients with post-intensive care syndrome（PICS）,and to analyze the influence of patient demographic data and disease-related data on the potential categories of fatigue trajectory. Methods A convenient sampling method was used to select patients hospitalized in general ICU ward of a tertiary hospital in Guizhou Province from January 2020 to September,and the demographic and disease-related data of patients was collected. The fatigue degree of the patients was evaluated at 1 week（T1）,1 month（T2） and 3 months（T3） after ICU discharge. The growth mixture model was used to identify the potential trajectory category. Logistic regression analysis was used to analyze the prediction factors of trajectory category. Results 556 research subjects were initially enrolled,and 300 of them developed PICS. 4 types of fatigue trajectories were identified in these patients,and they were sustained fatigue group（19.00%）,increased fatigue group（6.00%）,fatigue remission group（27.67%）and non-fatigue group（47.33%）. Logistic regression analysis showed that high APACHE Ⅱ score,advanced age and history of respiratory diseases were independent predictors of fatigue trajectory categories. Conclusion The degree of fatigue in patients with PICS shows different trajectories. Medical staff should pay attention to the evaluation and intervention of fatigue in patients with high APACHE Ⅱ scores,advanced age,and history of respiratory diseases.