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

Central South University

Status: Unknown

Conditions: Blood Transfusion Complication

Treatments: Procedure: Liver transplant

Study type: Observational

Funder types: Other

Identifiers

NCT03814772

ThirdXiangyaLTP

Details and patient eligibility

About

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.

Full 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.

Enrollment: 2,000 estimated patients

Sex: All

Ages: 18 to 65 years old

Volunteers: No Healthy Volunteers

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

Trial design

2,000 participants in 1 patient group

Liver transplant

Description:

1. 18 years to 65 2. 48h preoperative biochemical indicators, blood general indicators, coagulation test complete

Treatment:

Procedure: Liver transplant