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Associated Balance of Risk Score - Comprehensive Complication Index for the Prediction of Post-transplant Survival

Associated Balance of Risk Score - Comprehensive Complication Index for the Prediction of Long-term Survival After Liver Transplantation

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03723317
Enrollment
1782
Registered
2018-10-29
Start date
2018-01-15
Completion date
2018-10-15
Last updated
2018-10-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Liver Cirrhosis, Liver Diseases, Liver Failure, Transplant Failure

Brief summary

In recent years, several scoring systems have been developed aimed at predicting early post-LT graft function. However, many of them showed poor efficacy when long-term survivals were tested. Moreover, the necessity to find an easy-to-use score represents another obstacle, with several scores composed by numerous, difficult to find, variables. Recently, the pre-LT Balance of Risk (BAR) and the post-LT Comprehensive Complication Index (CCI) have been created, but their external validation and integration in this setting is lacking. This study aims at constructing an easy-to-use score system based on the combination of a small number of pre- and immediately post-liver transplant (LT) independent variables, in order to accurately predict long-term graft survival after LT.

Detailed description

In the last years, several scoring systems have been developed with the intent to predict waiting-list mortality or early allograft dysfunction (EAD) after liver transplantation (LT). The Model for End-stage Liver Disease (MELD) is recognised as the most accurate liver allograft allocation model by prioritising patients according to the severity of their disease. However, several studies showed that MELD alone failed to predict early and late post-transplant clinical course. Consequently, other scoring systems based on pre-LT or post-LT variables have been developed, with the intent to identify high-risk cases for death, graft loss or re-transplantation (re-LT). Among them, two pre-LT scores, namely the D-MELD and Balance of Risk (BAR), showed to well predict early post-LT survival. Similarly, some post-LT scores were able to estimate EAD, and, thereby, to predict the probabilities of early re-LT and patient death. Interestingly, all of these scores, especially those based on pre-LT variables, resulted in a scarce prediction of long-term (five-year) survivals. Recently, the Comprehensive Complication Index (CCI) has been developed in order to better capture complication rates after surgery. Some reports reported its excellent prognostic ability in different fields. However, up to now, no studies investigated the role of CCI concerning long-term prognostication of graft loss in LT. This study aims at constructing an easy-to-use score system based on the combination of a small number of pre- and immediately post-LT independent variables, in order to accurately predict five-year post-LT graft survival. Both external and internal validations of the score were performed.

Interventions

PROCEDURELiver transplantation

First deceased-donor liver transplantation

Sponsors

European Hepatocellular Cancer Liver Transplant Group
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 70 Years
Healthy volunteers
No

Inclusion criteria

* First transplant * adult (\>18 years)

Exclusion criteria

* living donation * re-transplant * combined transplant * domino transplant * paediatric transplant

Design outcomes

Primary

MeasureTime frameDescription
Five-year post-transplant graft survival5 yearsNumber of participants experiencing a graft loss for any reason

Secondary

MeasureTime frameDescription
Re-transplant rate5 yearsNumber of participants experiencing a re-transplant for any reason

Countries

Belgium

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 17, 2026