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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Cardiol. Dec 26, 2025; 17(12): 112978
Published online Dec 26, 2025. doi: 10.4330/wjc.v17.i12.112978
Published online Dec 26, 2025. doi: 10.4330/wjc.v17.i12.112978
Logistic regression-based risk prediction of aortic adverse remodeling following thoracic endovascular aortic repair in patients with aortic dissection
Lian-Feng Wang, Department of Oncology II, Zhangjiajie People's Hospital, Zhangjiajie 415000, Hunan Province, China
Hong-Jiang Zhu, Cong Wang, Feng Yan, Chang-Zhen Qu, Department of Vascular Interventional Surgery, Zhangjiajie People's Hospital, Zhangjiajie 415000, Hunan Province, China
Co-first authors: Lian-Feng Wang and Hong-Jiang Zhu.
Author contributions: Zhu HJ contributed to conceptualization, Formal analysis, Methodology, writing original draft, review and editing, project administration, supervision; Wang LF contributed to writing original draft, review and editing, project administration; Yan F contributed to visualization, writing original draft; Qu CZ contributed to data curation, investigation, review and editing; Wang C contributed to data curation, investigation.
Supported by Zhangjiajie "Xiao He (Young Talent)" Project, No. 2024XHRC03; and Jishou University School-Level Research Project.
Institutional review board statement: The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board (or Ethics Committee).
Informed consent statement: Informed consent was obtained from all subjects involved in the study. Written informed consent has been obtained from the patients to publish this paper.
Conflict-of-interest statement: All authors declare that they have no conflicts of interest.
CONSORT 2010 statement: The authors have read the CONSORT 2010 statement, and the manuscript was prepared and revised according to the CONSORT 2010 statement.
Data sharing statement: The data that support the findings of this study are not publicly available due to containing information that could compromise research participant privacy. However, data are available from the corresponding author Hong-Jiang Zhu upon reasonable request and with permission of the institutional review board/ethics committee.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Hong-Jiang Zhu, MD, Department of Vascular Interventional Surgery, Zhangjiajie People's Hospital, No. 192 Guyong Road, Yongding District, Zhangjiajie 415000, Hunan Province, China. 13028176178@163.com
Received: August 12, 2025
Revised: September 10, 2025
Accepted: November 6, 2025
Published online: December 26, 2025
Processing time: 135 Days and 2.7 Hours
Revised: September 10, 2025
Accepted: November 6, 2025
Published online: December 26, 2025
Processing time: 135 Days and 2.7 Hours
Core Tip
Core Tip: This study developed and validated a logistic regression-based risk prediction model for aortic adverse remodeling following thoracic endovascular aortic repair (TEVAR) in patients with type B aortic dissection. The model, incorporating routinely available clinical and imaging variables, demonstrated high predictive accuracy (area under the curve = 0.968). Pan-aortic false lumen involvement was identified as the strongest predictor, increasing the risk of adverse remodeling by nearly 12-fold. This tool facilitates preoperative risk stratification to guide personalized treatment strategies and improve long-term outcomes after TEVAR.