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METHODS article

Front. Cardiovasc. Med.

Sec. General Cardiovascular Medicine

Volume 12 - 2025 | doi: 10.3389/fcvm.2025.1480136

Development and validation of a nomogram predicting the probability of painless aortic dissection : A retrospective cohort study

Provisionally accepted
Mengdie  ZhuMengdie ZhuLei  WangLei Wang*Lin  ZhangLin ZhangNa  LiuNa LiuNan  ZhangNan ZhangHaoyang  LiuHaoyang LiuZhifang  LiZhifang LiPanpan  WangPanpan WangZhengbin  WangZhengbin Wang*
  • Zhengzhou University, Zhengzhou, China

The final, formatted version of the article will be published soon.

Aortic dissection (AD) is one of the most life-threatening diseases encountered in the emergency department (ED), Most patients are diagnosed with severe chest and back pain or abdominal pain, but a small number of patients have no obvious symptoms. The purpose of this study is to develop and validate a nomogram that incorporates both the clinical characteristics and laboratory tests available to estimate the probability of arterial dissection in patients without chest pain. It can help We developed and validated a nomogram to help clinicians diagnose painless arterial dissection quickly and accurately, thereby better enabling clinicians to provide timely and effective interventions, and improved patient ' s survival.

Keywords: Painless aortic dissection, nomogram, Clinical prediction model, risk, diagnosis

Received: 13 Aug 2024; Accepted: 24 Jul 2025.

Copyright: © 2025 Zhu, Wang, Zhang, Liu, Zhang, Liu, Li, Wang and Wang. 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:
Lei Wang, Zhengzhou University, Zhengzhou, China
Zhengbin Wang, Zhengzhou University, Zhengzhou, 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.