Optimizing Donor-recipient Matching to Improve Survival After Registration on the Waiting List for Liver Transplantation: the OPTIMATCH LT Study
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 9,000
- 主要终点
- Decision tree analysis
研究概览
简要总结
A major limitation of liver transplantation is organ shortage. To avoid exposing patients to death on the waiting list, organs are used that would have been discarded few years ago. Graft allocation is regulated by the "agence de biomedecine" which establishes a national score. Each liver graft is proposed to the patient presenting the higher score. Acceptance or rejection of the graft only depends on the decision of each centre. We propose to submit a more efficient allocation model (enabling each proposed liver graft to be transplanted in the candidate whose transplantation will afford the greatest survival benefit after registration), by collecting and analysing variables from donors and candidates/recipients.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Liver transplant candidates : All adult LT candidates listed on the French wait list between 2009 and 2014 and followed prospectively by the mean yearly follow-up under the control of ABM.
- •Donors : all adults donors registered over the same 2009-2014 period, including donors whose livers were procured and transplanted, whose liver were procured and discarded, and donors in whom liver was not harvested.
排除标准
- •Pediatric recipients
- •Pediatric donors
结局指标
主要结局
Decision tree analysis
时间窗: 5 years
In view of the complexity of our project, different parallel approaches will be performed in order to establish predictive models
Survival analysis
时间窗: 5 years
In view of the complexity of our project, different parallel approaches will be performed in order to establish predictive models
Multi-state models
时间窗: 5 years
In view of the complexity of our project, different parallel approaches will be performed in order to establish predictive models
次要结局
- drop-outs for worsening (Candidate population)(5 years)
- number of ECD criteria (Donor population)(5 years)
- graft failure (Donor population)(5 years)
- deaths on the waiting list (Candidate population)(5 years)
- Number of each criterion of ECD (Donor population)(5 years)
- Percentage of each criterion of ECD (Donor population)(5 years)
- epidemiological characteristics (Candidate population)(5 years)
- indication for transplantation (Candidate population)(5 years)
- number of drop-outs for improvement (Candidate population)(5 years)
- mean score (Donor population)(5 years)
- frequency of ECD criteria (Donor population)(5 years)
- mean age of donors (Donor population)(5 years)
- grafts with correct primary function (Donor population)(5 years)
- Proportion of early deaths after transplantation (Candidate population)(5 years)
- median time of occurrence (Candidate population)(5 years)
- Donor scores (DRI, ELTR) (Donor population)(5 years)
- severity of disease (Candidate population)(5 years)
- comorbidities (Candidate population)(5 years)
- time on waiting list (Candidate population)(5 years)
- percentages of drop-outs for improvement (Candidate population)(5 years)
