Logistic regression-based risk prediction of aortic adverse remodeling following thoracic endovascular aortic repair in patients with aortic dissection
This validated risk prediction model identifies aortic adverse remodeling with high accuracy using routinely available clinical parameters. False lumen involvement thoracoabdominal aorta is the strongest predictor (11.751-fold increased risk). The tool enables preoperative risk stratification to guide tailored TEVAR strategies and improve long-term outcomes.
Authors
- Changzhen Qu
- Hongjiang Zhu
- Lian-Feng Wang
- Cong Wang (ORCID: https://orcid.org/0000-0003-1130-2488)
- Feng Yan
Institutions
- Soochow University (CN)
- Zhangjiagang First People's Hospital (CN)
Publication Details
- Journal
- World Journal of Cardiology
- Published
- 2025-12-24
- DOI
- https://doi.org/10.4330/wjc.v17.i12.112978
- Primary Topic
- Aortic Disease and Treatment Approaches
- Type
- article
- Field-Weighted Citation Impact
- 0.00