Perioperative thrombelastography serves as an important assessment tool of transfusion requirements during liver transplantation.

Background: Thrombelastography has become increasingly used in liver transplantation. The implications of thrombelastography at various stages of liver transplantation, however, remain poorly understood. Our goal was to examine thrombelastography-based coagulopathy profiles in liver transplantation and determine whether preoperative thrombelastography is predictive of transfusion requirements perioperatively.
Methods: A retrospective review of 364 liver transplantations from January 2013 to May 2017 at a single institution was performed. Patients were categorized as hypocoagulable or nonhypocoagulable based on their preoperative thrombelastography profile. The primary outcome was intraoperative transfusion requirements.
Results: Of patients undergoing liver transplantation, 47% ( n  = 170) were hypocoagulable and 53% ( n  = 194) were nonhypocoagulable preoperatively. Hypocoagulable patients had higher transfusion requirements compared to nonhypocoagulable patients, requiring more units of packed red blood cells (7 vs 4, P  < .01), fresh frozen plasma (14 vs 8, P  < .01), cryoprecipitate (2 vs 1, P  < .01), platelets (3 vs 2, P  < .01), and cell saver (3 vs 2 L, P  < .01). Additionally, these patients were more likely to receive platelets and cryoprecipitate in the first 24 hours following liver transplantation (both P  < .05). No differences were found between rates of intensive care unit length of stay, 30-day readmission, or mortality.
Conclusion: Coagulation abnormalities are common among liver transplantation patients and can be identified using thrombelastography. Identification of a patient's coagulation state preoperatively aids in guiding transfusion during liver transplantation. This work serves to better direct clinicians during major surgery to improve perioperative resource utilization. Future prospective work should aim to identify specific thrombelastography values that may predict transfusion requirements.
(© 2020 The Authors.)