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Novel and Innovative Hybrid Technique for Type A Aortic Dissection
Published on: March 28, 2025
Prognostic factors and outcomes of acute type A aortic dissection: a retrospective clinical study
Haochao Li1, Pengfei Chen1, Diming Zhao1
1Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background:
Acute type A aortic dissection (aTAAD) is a cardiovascular emergency requiring surgical intervention. Data on the long-term mortality of surgically treated patients remain scarce. We aimed to examine the prognostic factors and long-term outcomes of surgically treated patients with aTAAD.
Methods:
We analyzed data from 952 surgically treated aTAAD patients. The association between the perioperative factors and long-term mortality of these patients was examined.
Results:
Altogether, 93 patients died during the follow-up period, resulting in a 5-year mortality rate of 9.7%. The patients who died were older (P=0.02), had averagely higher European System for Cardiac Operative Risk Evaluation (EuroSCORE) II scores (P=0.042), longer cardiopulmonary bypass time (CPBT) (P=0.003), and tended to have postoperative kidney dysfunction (P=0.002) and postoperative cerebral accident (P=0.01). Univariate analysis revealed that age, intensive care unit stay, ventilation use, CPBT, albumin (both at admission and post-surgery), and creatinine (post-surgery) were also significantly associated with long-term mortality. After adjusting for the EuroSCORE II score in the multivariate analysis, only low albumin (both at admission and post-surgery) and high creatinine (post-surgery) levels remained as independent predictors of long-term mortality.
Conclusions:
The EuroSCORE II score could be useful in predicting the long-term mortality of surgically treated aTAAD patients. Low albumin (both at admission and post-surgery) and high creatinine (post-surgery) levels are also important predictors.
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