Acute aortic syndrome risk stratification score: A new risk assessment tool

Background: To construct a risk stratification score for acute aortic syndrome (AAS) with high predictive value for AAS. Methods Patients suspected of having AAS who visited the emergency department of the Affiliated Hospital of Jining Medical University between August 2019 and July 2022 were enrolled. The patients were divided into AAS and non-AAS groups according to the AAS diagnostic criteria. The independent risk factors for AAS were analyzed by binary logistic regression analysis, the AAS risk stratification score (AAS-RSS) was constructed, and a receiver operating characteristic ( ROC ) curve was drawn to evaluate the AAS-RSS. Results A total of 23 variables were effectively integrated into the AAS-RSS according to the size of the logistic regression analysis B value and were combined with the ADD-RS score. AAS-RSS and ADD-RS predicted that the areas under the AAS curve were 0.919(0.898 ~ 0.941) and 0.734 (0.694 ~ 0.773), respectively. Conclusions The AAS-RSS has high predictive value for risk stratification of AAS.