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Dataset Information

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


ABSTRACT:

Objective

We sought to find a bedside prognosis prediction model based on clinical and image parameters to determine the in-hospital outcomes of acute aortic dissection (AAD) in the emergency department.

Methods

Patients who presented with AAD from January 2010 to December 2019 were retrospectively recruited in our derivation cohort. Then we prospectively collected patients with AAD from January 2020 to December 2021 as the validation cohort. We collected the demographics, medical history, treatment options, and in-hospital outcomes. All enrolled patients underwent computed tomography angiography. The image data were systematically reviewed for anatomic criteria in a retrospective fashion by three professional radiologists. A series of radiological parameters, including the

SUBMITTER: Xing L 

PROVIDER: S-EPMC9168913 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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