Preoperative Predictors of Late Aortic Expansion in Acute Type B Aortic Dissection Treated with TEVAR

Author:

Dong Zhiqiang1,Yang He2,Li Gang1,Xu Xinyang1,Liu Hong1,Gu Jiaxi1,Li Minghui1,Gu Weidong1,Shao Yongfeng1,Ni Buqing1

Affiliation:

1. Department of Cardiovascular Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210003, China

2. Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210003, China

Abstract

Background: A patent false lumen (FL) in patients with thoracic endovascular aortic repair (TEVAR)-treated type B aortic dissection (TBAD) can cause a significant risk for late aortic expansion (LAE). We hypothesize that preoperative features can predict the occurrence of LAE. Methods: Sufficient preoperative and postoperative follow-up clinical and imaging feature data for patients treated with TEVAR in the First Affiliated Hospital of Nanjing Medical University from January 2018 to December 2020 were collected. A univariate analysis and multivariable logistic regression analysis were used to find potential risk factors of LAE. Results: Ninety-six patients were finally included in this study. The mean age was 54.5 ± 11.7 years and 85 (88.5%) were male. LAE occurred in 15 (15.6%) of 96 patients after TEVAR. Two preoperative factors showed strong associations with LAE according to the multivariable logistic regression analysis: preoperative partial thrombosis of the FL (OR = 10.989 [2.295–48.403]; p = 0.002) and the maximum descending aortic diameter (OR = 1.385 [1.100–1.743] per mm increase; p = 0.006). Conclusions: Preoperative partial thrombosis of the FL and an increase in the maximum aortic diameter are strongly associated with late aortic expansion. Additional interventions of the FL may help to improve the prognosis of patients with the high risk of late aortic expansion.

Funder

Jiangsu Province Hospital (The First Affiliated Hospital with Nanjing Medical University) Clinical Capacity Enhancement Project

Publisher

MDPI AG

Subject

General Medicine

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