Open AccessEarly Prediction Model of Acute Aortic Syndrome Mortality in Emergency Departments
Author(s) -
Daidai Wang,
Hua Zhang,
Liqing Du,
Qiangrong Zhai,
Guangliang Hu,
Wei Gao,
Anyi Zhang,
Sa Wang,
Yanpeng Hao,
Kaijian Shang,
Xueqing Liu,
Yanxia Gao,
Muyesai Nijiati,
Qingbian Ma
Publication year - 2022
Publication title -
international journal of general medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.722
H-Index - 36
ISSN - 1178-7074
DOI - 10.2147/ijgm.s357910
Subject(s) - medicine , nomogram , emergency department , receiver operating characteristic , emergency medicine , retrospective cohort study , cohort , psychiatry
Acute aortic syndrome is a constellation of life-threatening medical conditions for which rapid assessment and targeted intervention are important for the prognosis of patients who are at high risk of in-hospital death. The current study aims to develop and externally validate an early prediction mortality model that can be used to identify high-risk patients with acute aortic syndrome in the emergency department.