| Abstract: | Objective To create a combined model and explore its value in predicting the rupture risk of acute type A aortic dissection （ATAAD）. Methods The relevant data and the first cTn-I value of the ATAAD patients admitted and treated in a tertiary hospital from September 2018 to December 2020 were collected and analyzed retrospectively. The patients were divided into the dead group according to whether they died after admission （n = 44） and the survival group （n = 109）. The general data and cTn-I value of the two groups were compared, and a binary logistic regression analysis was used to explore the risk factors related to the in-hospital rupture of ATAAD. Results There were significant differences in syncope, WBC > 15×109/L, pericardium, and periaortic hematoma between the two groups （P < 0.05）, but no significant differences in other aspects （P > 0.05）. There was significant difference in cTn-I value between the two groups （P < 0.05）. Syncope, WBC > 15×109/L, pericardium, periaortic hematoma and cTn-I were included in binary logistic regression analysis. The results showed that there were significant differences in the multivariate analysis of pericardium, periaortic hematoma, and cTn-I value. The combined model created by combining the above factors predicted the AUC of ATAAD rupture was 0.859 （P < 0.05）. Conclusion The joint prediction model has the prediction performance. |
