NCT03814772

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

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 2,000 (estimated)
• Sponsor: The Third Xiangya Hospital of Central South University · Academic / Other
• Sex: All
• Age: 18 Years – 65 Years
• Healthy volunteers: —

Summary

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.

Detailed description

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.

Conditions

• Blood Transfusion Complication

Interventions

Type	Name	Description
PROCEDURE	Liver transplant	blood transfusion

Timeline

• Start date: 2019-03-20
• Primary completion: 2019-12-01
• Completion: 2021-12-31
• First posted: 2019-01-24
• Last updated: 2019-02-21

Locations

1 site across 1 country: China