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

Last updated: February 20, 2019
Sponsor: The Third Xiangya Hospital of Central South University
Overall Status: Active - Recruiting

Phase

N/A

Condition

Blood Transfusions

Treatment

N/A

Clinical Study ID

NCT03814772
ThirdXiangyaLTP
  • Ages 18-65
  • All Genders

Study 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.

Eligibility Criteria

Inclusion

Inclusion Criteria:

  • 48h preoperative biochemical indicators, blood general indicators, coagulation testcomplete

Exclusion

Exclusion Criteria:

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

Study Design

Total Participants: 2000
Study Start date:
March 20, 2019
Estimated Completion Date:
December 31, 2021

Study 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.

Connect with a study center

  • the Third Xiangya Hospital of Central South University

    Changsha, Hunan 410006
    China

    Active - Recruiting

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