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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
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03814772
Enrollment
2000
Registered
2019-01-24
Start date
2019-03-20
Completion date
2021-12-31
Last updated
2019-02-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Blood Transfusion Complication

Keywords

liver transplantation, blood transfusion, Patient blood management

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.

Interventions

PROCEDURELiver transplant

blood transfusion

Sponsors

Second Xiangya Hospital of Central South University
CollaboratorOTHER
RenJi Hospital
CollaboratorOTHER
Qilu Hospital of Shandong University
CollaboratorOTHER
The Third Xiangya Hospital of Central South University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to 65 Years

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

Design outcomes

Primary

MeasureTime frameDescription
one year mortality2019-2021All-cause mortality

Secondary

MeasureTime frameDescription
Intraoperative blood transfusion2019-2021Intraoperative blood component input

Countries

China

Contacts

Primary ContactRong Gui, doctor
aguirong@163.com+8615200828442

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026