NCT03814772Unknown不适用
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 个研究点 分布在 1 个国家目标入组 2,000 人开始时间: 2019年3月20日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 入组人数
- 2,000
- 试验地点
- 1
- 主要终点
- one year mortality
研究概览
简要总结
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.
详细描述
- Preoperative variables and statistical analysis of a large number of intraoperative blood transfusions in allogeneic liver transplantation patients were performed to screen preoperative variables.
- 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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 65 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •48h preoperative biochemical indicators, blood general indicators, coagulation test complete
排除标准
- •Inspection information is not detailed
- •Blood transfusion information is not detailed 3.Postoperative medical record information is not detailed
结局指标
主要结局
one year mortality
时间窗: 2019-2021
All-cause mortality
次要结局
- Intraoperative blood transfusion(2019-2021)
研究者
研究点 (1)
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