NCT03814772
Unknown
Not Applicable
To Establish a Prediction Model of Massive Blood Transfusion for Liver Transplantation Patients Based on Patient Blood Management
The Third Xiangya Hospital of Central South University1 site in 1 country2,000 target enrollmentMarch 20, 2019
ConditionsBlood Transfusion Complication
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Blood Transfusion Complication
- Sponsor
- The Third Xiangya Hospital of Central South University
- Enrollment
- 2000
- Locations
- 1
- Primary Endpoint
- one year mortality
- Last Updated
- 7 years ago
Overview
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.
Investigators
Eligibility Criteria
Inclusion Criteria
- •48h preoperative biochemical indicators, blood general indicators, coagulation test complete
Exclusion Criteria
- •Inspection information is not detailed
- •Blood transfusion information is not detailed 3.Postoperative medical record information is not detailed
Outcomes
Primary Outcomes
one year mortality
Time Frame: 2019-2021
All-cause mortality
Secondary Outcomes
- Intraoperative blood transfusion(2019-2021)
Study Sites (1)
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