Objective To construct a risk prediction model for Oral Mucosal Pressure Injury (OMPI) in patients with oral endotracheal intubation，and to verify the predictive effect of the model. Methods A sample of 335 patients with oral endotracheal intubation who were hospitalized in ICU from January to September 2023, were included into the modeling dataset, and divided into the OMPI group (47 cases) and the non-OMPI group (288 cases) according to whether or not they developed OMPI. Risk factors for the occurrence of OMPI were determined using univariate analysis and multifactorial logistic regression analysis. Then a risk prediction model was constructed based on the risk factors and a nomogram was plotted. Another sample of 143 patients with oral endotracheal intubation in the same ICU from October to December 2023 were selected as the validation dataset, and the receiver operator characteristic (ROC) curve and decision curve analysis (DCA) were used for validation of the prediction model. Results The incidence rate of OMPI in patients with oral endotracheal intubation was 14.03%. The number of daily oral care, duration of endotracheal intubation, tracheal tube material, the use of dental pads or not, the number of daily oral suctioning , the RASS score and history of diabetes mellitus were the risk factors (all P<0.05). In the validation dataset, the area under the ROC curve was 0.908［95%CI (0.856-0.960) ］;the the model had a sensitivity of 84.0%, a specificity of 87.5% and an overall prediction correctness of 87.41%. Conclusion The risk prediction model has good predictive effect and can provide a reference for medical staff to assess the risk of OMPI occurrence in patients