{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T00:38:34Z","timestamp":1788827914019,"version":"build-2803163510"},"reference-count":16,"publisher":"Baishideng Publishing Group Inc.","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["World J Cardiol"],"abstract":"BACKGROUND<\/jats:p>\n Aortic 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.<\/jats:p>\n AIM<\/jats:p>\n To develop and validate a logistic regression-based risk prediction model for aortic adverse remodeling following TEVAR in patients with TBAD.<\/jats:p>\n METHODS<\/jats:p>\n This retrospective observational cohort study analyzed 140 TBAD patients undergoing TEVAR at a tertiary center (2019\u20132024). 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.<\/jats:p>\n RESULTS<\/jats:p>\n Multivariable analysis identified several strong independent predictors of negative aortic remodeling. Larger false lumen diameter at the primary entry tear [odds ratio (OR): 1.561, 95%CI: 1.197\u20132.035; 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\u20130.831; P = 0.015). The prediction model exhibited excellent discrimination (AUC = 0.968) and calibration (Hosmer-Lemeshow P = 0.824).<\/jats:p>\n CONCLUSION<\/jats:p>\n 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.<\/jats:p>","DOI":"10.4330\/wjc.v17.i12.112978","type":"journal-article","created":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T02:38:21Z","timestamp":1766543901000},"source":"Crossref","is-referenced-by-count":1,"title":["Logistic regression-based risk prediction of aortic adverse remodeling following thoracic endovascular aortic repair in patients with aortic dissection"],"prefix":"10.4330","volume":"17","author":[{"given":"Lian-Feng","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong-Jiang","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Yan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chang-Zhen","family":"Qu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2060","published-online":{"date-parts":[[2025,12,26]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2015.05.029"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvs.2011.06.099"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvs.2013.07.001"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvs.2017.06.067"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1093\/eurheartj\/ehu281"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.3390\/bioengineering9100573"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvs.2018.07.086"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.2174\/1570161115666170105121900"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvs.2011.12.008"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvs.2010.11.134"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvs.2018.07.080"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvs.2015.02.022"},{"key":"B13","doi-asserted-by":"publisher","DOI":"10.1016\/j.athoracsur.2013.07.128"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(14)61005-9"},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvs.2025.07.057"},{"key":"B16","doi-asserted-by":"publisher","DOI":"10.1016\/j.asjsur.2021.07.071"}],"container-title":["World Journal of Cardiology"],"original-title":[],"link":[{"URL":"https:\/\/www.wjgnet.com\/1949-8462\/full\/v17\/i12\/112978.htm","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.wjgnet.com\/1949-8462\/full\/v17\/i12\/112978.htm","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T02:38:37Z","timestamp":1766543917000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.wjgnet.com\/1949-8462\/full\/v17\/i12\/112978.htm"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,26]]},"references-count":16,"journal-issue":{"issue":"12"},"alternative-id":["112978"],"URL":"https:\/\/doi.org\/10.4330\/wjc.v17.i12.112978","relation":{},"ISSN":["1949-8462"],"issn-type":[{"value":"1949-8462","type":"print"}],"subject":[],"published":{"date-parts":[[2025,12,26]]}}}