Development and Validation of a Predictive Model to Identify Patients With an Ascending Thoracic Aortic Aneurysm.

ABSTRACT: Background Screening protocols do not exist for ascending thoracic aortic aneurysms (ATAAs). A risk prediction algorithm may aid targeted screening of patients with an undiagnosed ATAA to prevent aortic dissection. We aimed to develop and validate a risk model to identify those at increased risk of having an ATAA, based on readily available clinical information. Methods and Results This is a cross-sectional study of computed tomography scans involving the chest at a tertiary care center on unique patients aged 50 to 85 years between 2013 and 2016. These criteria yielded 21 325 computed tomography scans. The double-oblique technique was used to measure the ascending thoracic aorta, and an ATAA was defined as >40 mm in diameter. A logistic regression model was fitted for the risk of ATAA, wi

SUBMITTER: Mori M 

PROVIDER: S-EPMC8751931 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature