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ORIGINAL RESEARCH article
Front. Cardiovasc. Med.
Sec. Intensive Care Cardiovascular Medicine
Volume 12 - 2025 | doi: 10.3389/fcvm.2025.1561225
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Aortic dissection(AD) is a life-threatening cardiovascular emergency. Delayed diagnosis frequently leads to treatment delays, elevated mortality, and complications. This study investigates the factors contributing to the misdiagnosis of AD and proposes strategies for improving its early diagnosis. A retrospective analysis of 801 patients with AD identified 219 cases for inclusion, which were split into a training set (131 cases) and a validation set (88 cases). A binary logistic regression model was used to identify factors influencing misdiagnosis, while a Nomogram prediction model was developed. The analysis revealed that factors such as the timing and suddenness of symptom onset, typical back pain, walk-in clinic visits, and laboratory results (D-dimer, fibrinogen, and white blood count) were significant in predicting misdiagnosis. The Nomogram model showed high predictive accuracy with an Area under the ROC curve(AUC) of 0.924 in the training set and 0.912 in the validation set, demonstrating good sensitivity and specificity. The model offers potential for improving diagnostic accuracy and clinical outcomes in AD cases.
Keywords: aortic dissection, Diagnosis Challenge, Misdiagnosis, Predictive Modeling, Risk factors Aortic Dissection, Risk factors
Received: 15 Jan 2025; Accepted: 31 Mar 2025.
Copyright: © 2025 Wang, Yang, Hu, Deng, Tu, Wu and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Linfeng Li, The First Affiliated Hospital of Nanchang Medical College, Jiangxi Provincial People's Hospital, Nanchang, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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