α-HBDH is a Superior to LDH in Predicting Cardiac Injury in Patients with Acute Aortic Dissection

Objective: Acute aortic dissection (AAD) has a high rate of mortality and postoperative complications, but fewer indicators can predict postoperative cardiac injury complications. This study aimed to investigate whether α-HBDH is superior to LDH as a predictor of in-hospital mortality and postoperative cardiac injury in patients with AAD. Methods: In this retrospective study, a total of 369 patients from 2015 to 2021 were enrolled and divided into three groups (T1: low, T2: medium and T3: high) based on the tertiles of α-HBDH levels on admission. The relationship between α-HBDH and AAD was determined by correlation analysis and logistic regression model, with the consolidation using Kaplan-Meier and restricted cubic spline (RCS) analysis for predicting the in-hospital death and cardiac injury complications. Last, the relationship between α-HBDH levels and in-hospital mortality and cardiac injury was further verified through subgroup analysis. Results: In the logistic regression model, α-HBDH in the high-level group was 9.869 times that in the low-level group [OR (95CI): 9.869 (2.148-45.349), P=0.003], while this feature was not observed in LDH [OR (95CI): 1.437 (0.342-6.034), P=0.621]. Kaplan-Meier analysis showed that increased α-HBDH levels within 30 days were associated with poor survival within 30 days in AAD patients (log rank test, P<0.01), especially in acute stanford A dissection. RCS showed that 204 U/L was the optimal cut-off value of α-HBDH for in-hospital mortality and postoperative cardiac injury, which facilitated clinical stratification of patients with AAD. Subgroup analysis confirmed a stable correlation between α-HBDH level and hospital mortality and cardiac injury (P>0.05). Conclusion: α-HBDH would be better than LDH in predicting the in-hospital death and postoperative cardiac injury, guiding admission stratification of patients with AAD.