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A retrospective observational cohort study of 140 TEVAR-treated TBAD patients (2019–2024) was used to build and validate a logistic regression model to stratify risk. Multivariable analysis assessed predictors via ROC-AUC and Hosmer-Lemeshow calibration. The model showed excellent discrimination and 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","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-11-03","2026-09-28",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",8,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What clinical problem does the study address after TEVAR?","Question",{"text":63,"@type":64},"It addresses aortic adverse remodeling following TEVAR in patients with Stanford type B aortic dissection, which significantly affects long-term survival.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How was the risk prediction model developed and evaluated?",{"text":68,"@type":64},"A retrospective cohort of 140 patients was analyzed using multivariable logistic regression, with model performance assessed by ROC-AUC and Hosmer-Lemeshow calibration tests.",{"name":70,"@type":61,"acceptedAnswer":71},"Which factors were identified as the strongest predictors of adverse remodeling?",{"text":72,"@type":64},"Pan-aortic false lumen involvement extending to the thoracoabdominal aorta was reported as the strongest predictor, while false lumen involvement confined to the thoracic aorta showed a protective effect.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},406203,1790717263,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,106,110,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & 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Manuscript: [https://www.f6publishing.com](https://www.f6publishing.com) World J Cardiol 2025 December 26; 17(12): 112978  \nDOI: 10.4330/wjc.v17.i12.112978 ISSN 1949-8462 (online)  \nORIGINAL ARTICLE  \nClinical Trials Study  \nLogistic regression-based risk prediction of aortic adverse remodeling following thoracic endovascular aortic repair in patients with aortic dissection  \nLian-Feng Wang, Hong-Jiang Zhu, Cong Wang, Feng Yan, Chang-Zhen Qu  \nSpecialty type: Cardiac and cardiovascular systems  \nProvenance and peer review:  \nInvited article; Externally peer reviewed.  \nPeer-review model: Single blind  \nPeer-review report’s classification Scientific Quality: Grade B, Grade D, Grade D  \nNovelty: Grade B, Grade C  \nCreativity or Innovation: Grade B, Grade C  \nScientific Significance: Grade B, Grade D, Grade D  \nP-Reviewer: Byeon H, PhD, Associate Professor, Research Dean, South Korea; Hantash NA, MD, Researcher, Jordan; Sun LJ,  \nMD, PhD, Researcher, China  \nReceived: August 12, 2025  \nRevised: September 10, 2025  \nAccepted: November 6, 2025  \nPublished online: December 26, 2025  \nProcessing time: 135 Days and 2.2 Hours  \nLian-Feng Wang, Department of Oncology II, Zhangjiajie People's Hospital, Zhangjiajie 415000, Hunan Province, China  \nHong-Jiang Zhu, Cong Wang, Feng Yan, Chang-Zhen Qu, Department of Vascular Interventional  \nSurgery, Zhangjiajie People's Hospital, Zhangjiajie 415000, Hunan Province, China Co-first authors: Lian-Feng Wang and Hong-Jiang Zhu.  \nCorresponding 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.](China. 13028176178@163.com)[ 13028176178@163.com](China. 13028176178@163.com)  \nAbstract  \nBACKGROUND  \nAortic adverse remodeling remains a critical complication following thoracic endovascular aortic repair (TEVAR) for Stanford type B aortic dissection (TBAD), significantly impacting long-term survival. Accurate risk prediction is essential for optimized clinical management.  \nAIM  \nTo develop and validate a logistic regression-based risk prediction model for aortic adverse remodeling following TEVAR in patients with TBAD.  \nMETHODS  \nThis retrospective observational cohort study analyzed 140 TBAD patients undergoing TEVAR at a tertiary center (2019–2024) . Based on European guidelines, patients were categorized into adverse remodeling (aortic growth rate > 2.9 mm/year, n = 45) and favorable remodeling groups (n = 95) . Comprehensive variables (clinical/imaging/surgical) were analyzed using multivariable logistic regression to develop a predictive model. Model performance was assessed via receiver operating characteristic-area under the curve (AUC) and Hosmer-Lemeshow tests.  \nRESULTS  \nMultivariable analysis identified several strong independent predictors of negative aortic remodeling. Larger false lumen diameter at the primary entry tear  \n WJC  [https://www.wjgnet.com](https://www.wjgnet.com) 1 December 26, 2025  Volume 17  Issue 12   \nWang LF et al. Predicting aortic remodeling post-TEVAR  \n[odds ratio (OR): 1.561, 95%CI: 1.197–2.035; P = 0.001] and patency of the false lumen (OR: 5.639, 95%CI: 4.372- 8.181; P = 0.004) were significant risk factors. False lumen involvement extending to the thoracoabdominal aorta was identified as the strongest predictor, significantly increasing the risk of adverse remodeling (OR: 11.751, 95%CI: 9.841-15.612; P = 0.001) . Conversely, false lumen involvement confined to the thoracic aorta demonstrated a significant protective effect (OR: 0.925, 95%CI: 0.614–0.831; P = 0.015) . The prediction model exhibited excellent discrimination (AUC = 0.968) and calibration (Hosmer-Lemeshow P = 0.824) .  \nCONCLUSION  \nThis validated risk prediction model identifies aortic adverse remodeling with high accuracy using routinely available clinical parameters. False lu","cbCais3lK7wQUfuO","https://ap.wps.com/l/cbCais3lK7wQUfuO","pdf",1966320,"English","# Abstract\n## Background\n## Aim\n## Methods\n## Results\n## Conclusion","[{\"question\":\"What clinical problem does the study address after TEVAR?\",\"answer\":\"It addresses aortic adverse remodeling following TEVAR in patients with Stanford type B aortic dissection, which significantly affects long-term survival.\"},{\"question\":\"How was the risk prediction model developed and evaluated?\",\"answer\":\"A retrospective cohort of 140 patients was analyzed using multivariable logistic regression, with model performance assessed by ROC-AUC and Hosmer-Lemeshow calibration tests.\"},{\"question\":\"Which factors were identified as the strongest predictors of adverse remodeling?\",\"answer\":\"Pan-aortic false lumen involvement extending to the thoracoabdominal aorta was reported as the strongest predictor, while false lumen involvement confined to the thoracic aorta showed a protective effect.\"}]","Logistic regression-based risk prediction of aortic adverse remodeling following thoracic endovascular aortic repair in patients with aortic dissection | PDF",1790564125,25]