Predictive value of preoperative liver function for perioperative massive blood transfusion in patients undergoing ascending aorta surgery
Journal Title: Chinese Journal of Blood Transfusion - Year 2023, Vol 36, Issue 12
Abstract
Objective To explore the predictive value of preoperative liver function for massive blood transfusion (MBT) in patients undergoing ascending aorta surgery. Methods Data from 238 patients undergoing ascending aorta surgery in the Department of Cardiovascular Surgery at The Affiliated Lihuili Hospital of Ningbo University were collected. Preoperative liver function tests were performed for all patients. Based on the perioperative transfusion volumes of red blood cell suspension, patients were divided into the MBT group, non-MBT group, and no blood transfusion (NBT) group. Clinical data during the perioperative period were compared among different groups. Receiver operating characteristic curve (ROC curve) analysis was used to assess the predictive value of liver function indicators for MBT and determine cut-off values. Results Compared with the non-MBT group and NBT group, the MBT group showed statistically significant differences in preoperative levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), direct bilirubin (DBIL), and serum albumin (SA) (P<0.05). ROC curve analysis revealed that AST had the largest area under the curve (AUC) for predicting MBT, with a value of 0.723. ALT had the highest specificity for predicting MBT at 86.7%, and SA had the highest sensitivity at 89.7%. When AST >28.50 U/L, ALT >40.00 U/L, SA ≤34.55 g/L, and DBIL >4.25 μmol/L, there was a significant increase in the transfusion volume of various blood components and the incidence of MBT. Conclusion Preoperative liver function indicators (AST, ALT, SA, DBIL) have a moderate predictive value for MBT in patients undergoing ascending aorta surgery.
Authors and Affiliations
Lihui QIAN, Caimin ZHU, Zhangsheng ZHAO, Lei WANG, Wei ZHOU, Qile XIN, Youli MA, Qitian MU
Keywords
Related Articles
- EP ID EP738718
- DOI 10.13303/j.cjbt.issn.1004-549x.2023.12.009
- Views 5
- Downloads 0
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