A Simple Emergency Prediction Tool for Acute Aortic Dissection.

Background: A simple emergency risk prediction tool should be developed for clinicians to quickly identify the prognosis of patients with acute aortic dissection.

Methods: We enrolled 280 patients with acute aortic dissection admitted to emergency department between May 2010 and February 2013. Multivariate logistic regression analysis was performed to identify independent predictors of in-hospital death.

Results: The in-hospital mortality of our patients with acute aortic dissection was 32.5%, in-hospital deaths with surgery less than the survived (34.1% VS 54.5%). Multivariate analysis identified that age (≥65 years old), Type A, blood pressure (mean systolic blood pressure ≤ 90 mmHg), neutrophil percentage (≥ 80%) and serum D-dimer (≥ 5.0 mg/L) were significant predictors of death. With the simple emergency risk prediction tool, scores of all in-hospital deaths were ≥ 3, whereas almost all of the survivors (97.9%) had scores < 15. A score of 10 offered the best threshold value, with the highest sensitivity (81.3%) and specificity (86.8%).

Conclusions: The in-hospital mortality rate of patients with acute aortic dissection is high and can be predicted. Early surgery would be beneficial for in-hospital survive. This tool should be available for clinicians in the emergency department to quickly identify the prognosis of patients with acute aortic dissection.