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临床试验/NCT06188273
NCT06188273尚未招募不适用

Impact of Skeletal Muscle Quality and Loss on the Outcome of Liver Transplantation

Zhejiang University0 个研究点目标入组 800 人开始时间: 2024年1月1日最近更新:
适应症

试验速览

阶段
不适用
状态
尚未招募
发起方
入组人数
800
主要终点
Postoperative recurrence of liver cancer

研究概览

简要总结

CT imaging-based skeletal muscle assessment has been found to predict the outcomes of many diseases. Previous evidence revealed that pre-transplant muscle quality and post-transplant muscle loss were associated with transplant outcomes. However, there is no prospective study supporting the aforementioned conclusions. This study aims to prospectively include liver transplant patients from multiple transplant centers, collecting their pre-transplant CT images as well as post-transplant CT images at specific time points. The objective is to further explore and clarify the correlation between skeletal muscle assessment and the prognosis of liver transplant patients. The goal is to provide guidance for peri-transplant health monitoring and disease intervention for liver transplant patients.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

性别
All
接受健康志愿者

入选标准

  • Adult patients undergoing deceased donor liver transplantation (DDLT) for the first time

排除标准

  • Pediatric transplants
  • Presence of portal vein tumor thrombus according to imageing before transplantation
  • Presence of macrovascular invasion according to imageing before transplantation
  • Re-transplants
  • Multi-organ transplants
  • Patients who died within 30 days after transplantation
  • Patients diagnosed with skeletal muscle diseases (e.g. muscle atrophy)
  • Patients with serious medical conditions such as heart failure, persistent infection, and renal insufficiency.

结局指标

主要结局

Postoperative recurrence of liver cancer

时间窗: 2024.1.1-2027.1.1

Specifically for the included patients who undergo liver transplantation for liver cancer

Postoperative mortality

时间窗: 2024.1.1-2027.1.1

次要结局

未报告次要终点

研究者

发起方
Zhejiang University
申办方类型
Other
责任方
Principal Investigator
主要研究者

Xiao Xu

Professor

Zhejiang University

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