Abstract:Abstract: Objective?To establish a preoperative evaluation model and evaluate the accuracy of postoperative cardiopulmonary complications by analyzing the risk factors of postoperative complications after VATS in elderly patients with lung cancer.?Methods?From January 2015 to January 2018, 476 patients underwent VATS were selected as subjects. Among them, 166 patients with postoperative cardiopulmonary complications were included as complications and 310 patients without cardiopulmonary complications served as a control group. Univariate analysis of the factors associated with complications, statistically significant indicators were included in the multivariate logistic regression model, and the risk factors for postoperative cardiopulmonary complications after VATS in elderly patients with lung cancer were analyzed. Based on the results of the regression analysis, a preoperative evaluation model was established. The Hosmer-Lemeshow test were used to evaluate the model prediction performance.?Results?Logistic regression analysis showed age (OR?=?1.337), Glu (OR?=?4.647), surgical size (OR?=?4.598) were risk factors for postoperative complications, Albumin (OR?=?0.660) was a protective factor for postoperative complications (P?0.05). The nomogram model shows that as the age, blood glucose, and surgery size increase, the albumin index decreases, and the corresponding score of the nomogram model increases, and the corresponding risk of complications increases. The Hosmer-Lemeshow test results show that the predicted performance of the nomogram model is 81.93% (P?=?0.894).?Conclusion?A nomogram model based on age, blood glucose, albumin, surgery size to predict the risk of cardiopulmonary complications after VATS in elderly patients with lung cancer has a good predicted performance.