To Establish a Blood Transfusion Prediction Model for Liver Transplantation Patients Based on PBM

To Establish a Prediction Model of Massive Blood Transfusion for Liver Transplantation Patients Based on Patient Blood Management

Based on the principle of patient blood management, this study aims to reduce the risk of blood transfusion in allogeneic liver transplantation patients, to ensure the safety of blood transfusion, and to provide new methods and basis for restrictive blood transfusion.

1. Preoperative variables and statistical analysis of a large number of intraoperative blood transfusions in allogeneic liver transplantation patients were performed to screen preoperative variables.
2. Models were established by machine learning algorithms to predict a large number of blood transfusions during surgery, providing a reference for preoperative blood preparation and postoperative outcome.

Inclusion Criteria:

• 48h preoperative biochemical indicators, blood general indicators, coagulation test complete

Exclusion Criteria:

• 1. Inspection information is not detailed 2. Blood transfusion information is not detailed 3.Postoperative medical record information is not detailed