Objective To develop a risk prediction model of peristomal moisture-associated skin damage(PMASD),and to apply to clinical practice to validate its prediction performance. Methods The prospective study design and the convenience sampling method were adopted. A total of 329 patients from 4 hospitals in Shanghai were enrolled from November 2019 to September 2020,and predictors between the complication group(141 cases)and the non-complication group(188 cases) were compared using Logistic regression based on Lasso selection for model development. The goodness of fit of the model was verified by Hosmer-Lemeshow test. The discrimination was evaluated by the area under the ROC curve(AUC). The Bootstrap resampling was used for internal validation. From October to November 2020,109 patients were recruited for external validation. Results The incidence of complication in the development cohort was 42.9%(141/329),and 37.6%(41/109) in the validation cohort. The predictors that ultimately entered the prediction model were gender(OR=0.497),type of stoma(OR=4.338),height of stoma(OR=0.304),surgical wound in plate area(OR=3.479),plate attachment(OR=2.399),soft diet(OR=3.155),and semi-fluid diet(OR=3.325). The H-L test P=0.274;the AUC was 0.812. The Youden index was 0.500,with the sensiti-vity of 0.688 and the specificity of 0.798. While the external validation H-L test P=0.515,the AUC was 0.860 with the sensitivity of 0.610 and the specificity of 0.882. Conclusion The prediction model developed in this study has a good performance,which can provide a reference for clinical screening of high-risk patients with PMASD.