[Abstract] Objective: Based on the analysis of factors affecting the risk of postoperative delirium in elderly patients with hip fractures, to establish and verify a nomogram prediction model to guide clinical prevention and treatment. Methods: A total of 308 elderly hip fracture patients who underwent surgical treatment in our hospital from August 2015 to August 2019 were selected as the research objects. Through univariate analysis and multivariate logistic regression analysis, the independent factors affecting the risk of postoperative delirium were analyzed. Risk factors, on this basis, establish a nomogram prediction model based on the selected variables. Results: After univariate analysis and multivariate logistic regression analysis, the results suggest that age, type 2 diabetes, ASA classification, general anesthesia, and operation time are independent risk factors for postoperative delirium (P<0.05, OR>1); Five variables are used for the construction of nomogram, and finally the model is constructed for the individualized prognosis prediction of patients. The Hosmer-Lemeshow goodness-of-fit test indicates that the model fits well. Conclusion: The nomogram prediction model of postoperative delirium risk in elderly patients with hip fracture established in this study can accurately predict the prognosis of patients based on meaningful variables in the results of multivariate analysis, and has a good clinical application prospect.