Early Prediction Model of Acute Aortic Syndrome Mortality in Emergency Departments.
Daidai WangHua ZhangLanfang DuQiangrong ZhaiGuangliang HuWei GaoAnyi ZhangSa WangYajuan HaoKaijian ShangXueqing LiuYanxia GaoNijiati MuyesaiQingbian MaPublished in: International journal of general medicine (2022)
This risk prediction tool uses simple variables to provide robust prediction of the risk of in-hospital death from acute aortic syndrome and validated well in an independent cohort. The tool can help emergency clinicians quickly identify high-risk acute aortic syndrome patients, although further studies are needed for verifying the prospective data and the results of our study.
Keyphrases
- aortic dissection
- liver failure
- respiratory failure
- aortic valve
- end stage renal disease
- left ventricular
- case report
- drug induced
- pulmonary artery
- healthcare
- public health
- chronic kidney disease
- newly diagnosed
- ejection fraction
- emergency department
- hepatitis b virus
- palliative care
- type diabetes
- heart failure
- prognostic factors
- intensive care unit
- electronic health record
- cardiovascular events
- coronary artery
- risk factors
- extracorporeal membrane oxygenation
- machine learning
- pulmonary arterial hypertension
- atrial fibrillation
- mechanical ventilation