Background
The aim of the study was to analyze the clinical characteristics of patients with
Stanford type B aortic dissection (TBAD) and risk factors for poor prognosis after
thoracic endovascular aortic repair (TEVAR).
Methods
Clinical records for patients with TBAD presenting to a medical center between March
1, 2012 and July 31, 2020 were reviewed. Clinical data including demographics, comorbidities,
and postoperative complications were obtained from electronic medical records. Comparative
analysis and subgroup analysis were performed. A logistic regression model was used
to analyze prognostic factors in patients with TBAD after TEVAR.
Results
TEVAR was performed on all 170 patients with TBAD, and poor prognosis was identified
in 28.2% (48/170) of cases. Patients with a poor prognosis were younger (38.5 [32.0,
53.8] years vs. 55.0 [48.0, 62.0] years, P < 0.001), had higher systolic blood pressure (SBP) (138.5 [127.8, 152.8] mm Hg vs.
132.0 [120.8, 145.3] mm Hg, P = 0.013) and more complicated aortic dissection patients (19 [60.4] vs. 71 [41.8],
P = 0.029) than those without a poor prognosis. According to the results of binary
logic regression analysis, the possibility of a poor prognosis after TEVAR decreased
with each 10 years increase in age (odds ratio: 0.464, 95% confidence interval: 0.327–0.658,
P < 0.001).
Conclusions
There is an association between younger age and a poor prognosis after TEVAR in patients
with TBAD, with the condition that those with poor prognoses have higher SBP and more
complicated cases. In younger patients, postoperative follow-up should be more frequent,
and complications should be managed in time.
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Article info
Publication history
Published online: March 02, 2023
Accepted:
February 5,
2023
Received:
October 3,
2022
Publication stage
In Press Journal Pre-ProofFootnotes
The first two authors contributed equally.
Funding: This study was supported by the National Natural Science Foundation of China (82170498, 81970404), the Natural Science Foundation of Beijing Municipality (7212094, Z210012) and the Beijing Science and Technology Planning Project (Z211100002921048).
Conflict of interest: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Author contributions: Shuangjing Wang, Heyue Jia, and Jiang Xiong contributed to the study design. Shuangjing Wang, Heyue Jia, Yifu Xi, and Luxia Ren contributed to data collection. Shuangjing Wang, Heyue Jia, Pengfei Yuan, and Mingwei Wu contributed to data analysis. Shuangjing Wang, Heyue Jia, and Jiang Xiong contributed to manuscript composition. Shuangjing Wang, Heyue Jia, Wei Guo, and Jiang Xiong contributed to editorial contributions.
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