Objective To investigate the feasibility and influencing factors of early mobilization in acute myocardial infarction (AMI) patients. Methods A total of 102 AMI patients who were admitted to the cardiac intensive care unit of Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine were prospectively enrolled from Feb. to Apr. 2021. The patients were divided into early mobilization group (the time of admission to the first mobilization ≤ 48 h) and non-early mobilization group (the time of admission to the first mobilization>48 h) according to the severity of the patient's condition and the time of admission to the first mobilization. The clinical data and rehabilitation data of patients in the 2 groups were compared, and the adverse events and barriers to early mobilization were recorded. Multivariate logistic regression analysis was used to explore the risk factors affecting the time of early mobilization, and receiver operating characteristic (ROC) curve analysis was used to analyze the predictive value of related indicators on the time of early mobilization. Results Among 102 AMI patients, 101 were successfully mobilized at the time of discharge, of which 62 were included in the early mobilization group and 39 in the non-early mobilization group. Compared with that in the early mobilization group, the patients in the non-early mobilization group were older, had higher Global Registry of Acute Coronary Events (GRACE) score, lower left ventricular ejection fraction (LVEF), a higher proportion of anterior myocardial infarction, more smokers, more renal diseases and hyperlipidemia, more adjuvant therapy, and longer hospital stay (all P<0.05). Multivariate logistic regression analysis showed that high GRACE score and low LVEF were independent risk factors for early mobilization (odds ratio[OR]=0.960, 95% confidence interval[CI] 0.939-0.981, P<0.001; OR=1.139, 95% CI 1.038-1.251, P=0.006). ROC curve analysis showed that GRACE score could be used as a predictor for early mobilization of AMI patients (area under curve[AUC]=0.833, 95% CI 0.742-0.924, P<0.001), and the optimal cut-off value was 167 (sensitivity 0.650, specificity 0.986). Conclusion It is safe and feasible to grade the risk factors of AMI patients and implement early rehabilitation training. GRACE score and LVEF can be used as effective indicators to judge whether early rehabilitation training can be implemented.