Volume 44 Issue 1
Jan.  2023
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Zhengmei ZI, Li HAO, Nan WANG, Guobing CHEN. The Diagnostic Value of Combined Prediction Model for Acute Type A Aortic Dissection Rupture[J]. Journal of Kunming Medical University, 2023, 44(1): 35-40. doi: 10.12259/j.issn.2095-610X.S20230128
Citation: Zhengmei ZI, Li HAO, Nan WANG, Guobing CHEN. The Diagnostic Value of Combined Prediction Model for Acute Type A Aortic Dissection Rupture[J]. Journal of Kunming Medical University, 2023, 44(1): 35-40. doi: 10.12259/j.issn.2095-610X.S20230128

The Diagnostic Value of Combined Prediction Model for Acute Type A Aortic Dissection Rupture

doi: 10.12259/j.issn.2095-610X.S20230128
  • Received Date: 2022-11-05
    Available Online: 2022-12-23
  • Publish Date: 2023-01-18
  •   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.
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