Objective To develop a risk prediction model for intraoperatively acquired pressure ulcer in adult patients undergoing cardiovascular surgery, and to verify the model. Methods A retrospective study was conducted on 1 163 adult patients undergoing cardiovascular surgery, and risk factors of intraoperatively acquired pressure ulcer were identified by Logistic regression analysis to develop the prediction model, then ROC curve was performed to determine the cutoff point. The model was validated in 443 patients. Results The risk prediction model included hemoglobin, prealbumin, serum sodium and potassium before surgery, mean body temperature and minimum mean arterial pressure during surgery, smoking frequency, hypertension history, and age greater than 70 years. The cutoff point of Logit P was -1.259 (AUC=0.751). The sensitivity, specificity, false positive rate and false negative rate of the model were 0.657, 0.793, 0.207 and 0.343, respectively. Conclusion The model can predict intraoperative pressure ulcer development risk in adult patients undergoing cardiovascular surgery.