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.

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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
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article

Logistic regression-based risk prediction of aortic adverse remodeling following thoracic endovascular aortic repair in patients with aortic dissection

Changzhen Qu, Hongjiang Zhu, Lian-Feng Wang, Cong Wang et al.
World Journal of Cardiology
Aortic Disease and Treatment Approaches
article

Logistic regression-based risk prediction of aortic adverse remodeling following thoracic endovascular aortic repair in patients with aortic dissection

Changzhen Qu, Hongjiang Zhu, Lian-Feng Wang, Cong Wang, Feng Yan
article en

Abstract

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.

World Journal of CardiologyVol. 17(12)
Soochow University (CN), Zhangjiagang First People's Hospital (CN)
Openalex Percentile: Top 28%
Aortic Disease and Treatment Approaches
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