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Related Experiment Video

Updated: Sep 20, 2025

Murine Model of Thoracic Aortic Dissection Induced by Oral β-Aminopropionitrile and Subcutaneous Angiotensin II Infusion

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Simple Death Risk Models to Predict In-hospital Outcomes in Acute Aortic Dissection in Emergency Department.

Lingyu Xing¹, Yannan Zhou¹, Yi Han¹

¹Department of Emergency Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.

Frontiers in Medicine

|June 9, 2022

Summary

A new bedside model using clinical and imaging data predicts in-hospital mortality for acute aortic dissection (AAD). Key factors include age, Marfan syndrome, type A dissection, surgery, and false lumen diameter, aiding emergency care decisions.

Keywords:

acute aortic dissection (AAD)in-hospital outcomes maximum false lumen diameter nomogram pericardial effusion site of intimal tear

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Modified Heterotopic Abdominal Heart Transplantation and a Novel Aortic Regurgitation Model in Rats

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Published on: June 2, 2023

Area of Science:

Cardiovascular Surgery
Radiology
Emergency Medicine

Background:

Acute aortic dissection (AAD) presents a significant challenge in emergency departments.
Accurate in-hospital prognosis prediction is crucial for timely intervention and patient management.

Purpose of the Study:

To develop and validate a bedside prognostic model for predicting in-hospital outcomes in patients with acute aortic dissection.
To identify key clinical and imaging parameters influencing AAD mortality.

Main Methods:

Retrospective derivation cohort (2010-2019) and prospective validation cohort (2020-2021) of AAD patients.
Collection of demographics, medical history, treatment, outcomes, and computed tomography angiography (CTA) data.
Radiological assessment of dissection extent, intimal tear characteristics, aortic dimensions, and pericardial effusion.

Main Results:

Multivariate analysis identified age, Marfan syndrome, type A aortic dissection, surgical repair, and maximum false lumen diameter as significant predictors of in-hospital mortality.
A prognostic model incorporating these factors demonstrated good calibration and discrimination.
The 3-level type A aortic dissection clinical prognosis score (3ADPS) was established, effectively stratifying risk (moderate, high, very high) with an AUC of 0.833 in the validation cohort.

Conclusions:

Clinical and imaging parameters, including maximum false lumen diameter, are critical for predicting AAD in-hospital outcomes.
The 3ADPS provides a rapid and effective tool for emergency physicians to predict in-hospital mortality in type A aortic dissection.
These risk models enhance clinical decision-making for patients with AAD in critical settings.