Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Agence de La Biomédecine | OTHER_GOV |
Not provided
Not provided
Not provided
Not provided
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.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Cohort R1 and Cohort T1 | Cohort R1 (patients on the waiting list between 2009 and 2013) and Cohort T1 (transplanted patients between 2009 and 2013) | ||
| Cohort R2 and Cohort T2 | Cohort R2 (patients on the waiting list in 2014) and Cohort T2 (transplanted patients in 2014) |
Not provided
| Measure | Description | Time Frame |
|---|---|---|
| Survival analysis | In view of the complexity of our project, different parallel approaches will be performed in order to establish predictive models | 5 years |
| Multi-state models | In view of the complexity of our project, different parallel approaches will be performed in order to establish predictive models | 5 years |
| Decision tree analysis | In view of the complexity of our project, different parallel approaches will be performed in order to establish predictive models | 5 years |
| Measure | Description | Time Frame |
|---|---|---|
| Number of each criterion of ECD (Donor population) | 5 years | |
| Percentage of each criterion of ECD (Donor population) | 5 years | |
| Donor scores (DRI, ELTR) (Donor population) |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Population of proposed donors and the population of patients registered on the national waiting list from 2009 to 2014 (Agence de Biomédecine)
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Cyrille Feray, MD/PhD | Assistance Publique - Hôpitaux de Paris | Principal Investigator |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| 5 years |
| mean score (Donor population) | 5 years |
| number of ECD criteria (Donor population) | 5 years |
| frequency of ECD criteria (Donor population) | 5 years |
| mean age of donors (Donor population) | 5 years |
| graft failure (Donor population) | 5 years |
| grafts with correct primary function (Donor population) | 5 years |
| epidemiological characteristics (Candidate population) | 5 years |
| indication for transplantation (Candidate population) | 5 years |
| severity of disease (Candidate population) | 5 years |
| comorbidities (Candidate population) | 5 years |
| time on waiting list (Candidate population) | 5 years |
| Proportion of early deaths after transplantation (Candidate population) | 5 years |
| drop-outs for worsening (Candidate population) | Description of events occurring on waiting list | 5 years |
| deaths on the waiting list (Candidate population) | 5 years |
| median time of occurrence (Candidate population) | Description of events occurring on waiting list | 5 years |
| number of drop-outs for improvement (Candidate population) | 5 years |
| percentages of drop-outs for improvement (Candidate population) | 5 years |