A Model to Predict in-Hospital Death in Patients with Type B Acute Aortic Dissection: A Single-Center Retrospective Observational Study

The Prognostic Value of a Model in BAAD Patients


  • Wang Li Department of Laboratory Medicine, Taizhou People’s Hospital Affiliated to Nanjing Medical University, Jiangsu, China
  • Jun Zhou Department of Laboratory Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
  • Cheng Cheng




acute type B aortic dissection, in-hospital mortality


Background: Acute type B aortic dissection (BAAD), as a catastrophic disease, is linked to high morbidity and mortality. The current research is to create a simple risk model to predict in-hospital mortality in BAAD patients based on laboratory results.

Methods: Patients with BAAD were included from April 1, 2017, to November 30, 2019, in the hospital. Clinical features and laboratory results were collected. Logistic regression analyses and ROC were applied to the evaluation.

Results: Hemoglobin (HB) (114.88 ± 28.42 (nonsurvivor) vs. 134.95 ± 17.88 (survivor), P < 0.001) and UREA (10.93 ± 7.02 (nonsurvivor) vs. 7.17 ± 3.77 (survivor), P = 0.001) were significantly different. In multivariate analysis, HB (hazard ratio (HR): 0.124; 95% confidence interval (CI) 0.025 – 0.627; P = 0.012) and UREA (HR: 8.765; 95% CI 2.022 – 37.993; P = 0.004) were independent predictors of in-hospital death. Then, a model with good performance (AUC 0.761 (0.677 – 0.832) was developed.

Conclusion: A simple model with good prediction value was developed. With this model, physicians quickly can identify high-risk patients, determine the best treatment strategies, and improve prognosis.


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How to Cite

Li, W., zhou, jun, & Cheng, C. (2022). A Model to Predict in-Hospital Death in Patients with Type B Acute Aortic Dissection: A Single-Center Retrospective Observational Study: The Prognostic Value of a Model in BAAD Patients. The Heart Surgery Forum, 25(4), E500-E503. https://doi.org/10.1532/hsf.4779