To Establish a Blood Transfusion Prediction Model for Liver Transplantation Patients Based on PBM
- Conditions
- Blood Transfusion Complication
- Interventions
- Procedure: Liver transplant
- Registration Number
- NCT03814772
- Brief 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.
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 2000
- 48h preoperative biochemical indicators, blood general indicators, coagulation test complete
-
- Inspection information is not detailed 2. Blood transfusion information is not detailed 3.Postoperative medical record information is not detailed
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Liver transplant Liver transplant 1. 18 years to 65 2. 48h preoperative biochemical indicators, blood general indicators, coagulation test complete
- Primary Outcome Measures
Name Time Method one year mortality 2019-2021 All-cause mortality
- Secondary Outcome Measures
Name Time Method Intraoperative blood transfusion 2019-2021 Intraoperative blood component input
Trial Locations
- Locations (1)
the Third Xiangya Hospital of Central South University
🇨🇳Changsha, Hunan, China