To Establish a Blood Transfusion Prediction Model for Liver Transplantation Patients Based on PBM
NCT ID: NCT03814772
Last Updated: 2019-02-21
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
2000 participants
OBSERVATIONAL
2019-03-20
2021-12-31
Brief Summary
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Detailed Description
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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.
Conditions
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Study Design
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COHORT
CROSS_SECTIONAL
Study Groups
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Liver transplant
1. 18 years to 65
2. 48h preoperative biochemical indicators, blood general indicators, coagulation test complete
Liver transplant
blood transfusion
Interventions
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Liver transplant
blood transfusion
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
65 Years
ALL
No
Sponsors
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Second Xiangya Hospital of Central South University
OTHER
RenJi Hospital
OTHER
Qilu Hospital of Shandong University
OTHER
The Third Xiangya Hospital of Central South University
OTHER
Responsible Party
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Locations
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the Third Xiangya Hospital of Central South University
Changsha, Hunan, China
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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ThirdXiangyaLTP
Identifier Type: -
Identifier Source: org_study_id
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