Early Allograft Failure Simplified Estimation (EASE) in Liver Transplantation
NCT ID: NCT03858088
Last Updated: 2019-03-01
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
2350 participants
OBSERVATIONAL
2018-06-15
2019-01-10
Brief Summary
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Secondly, after identifying coefficients which are peculiar for the Italian transplant population, the investigators aim to develop a novel, simplified model for the estimation of early allograft failure (EASE Score).
Thirdly, the investigators plan to validate the EASE Score on a population from two liver transplant centers in the United Kingdom.
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Detailed Description
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This phenomenon has led the transplant community to expand the donors pool, thus including organs with a higher risk profile. The so called marginal organs carry a higher risk of failure especially in the early post-transplant phase. Early allograft failure (EAF) is known as a poor prognostic factor for patient survival.Treatment of graft failure is based on re-transplantation (Re-LT).
However, there are no clear-cut clinical/biochemical parameters to base the decision of Re-LT on. In addition, to which extent EAF is irreversible is not entirely predictable. Such prediction has been the objective of extensive research and debate as it can guide the physicians through the decision whether or not re-transplanting a recipient of a failing graft.
The availability of an easy algorithm to quickly identify the cases who are irreversibly heading towards graft failure and need re-LT is highly desirable.
Various definitions of EAF have been introduced but they all share the same limitation of being based on a dichotomous evaluation of biochemical parameters (e.g. AST, INR, bilirubin, etc. below or above a certain cut-off level).
Recently, a new score has been developed with the aim of overcoming this limitation: the Liver Graft Assessment Following Transplantation (L-GrAFT). This score not only provides a tool to diagnose EAF but also assesses the severity and the evolution of EAF using the kinetics of a set of biochemical parameters. However, L-GrAFT is predictive of EAF at 90 days, is based on 31 biochemical determinations and has not been validated in a multicenter setting.
With the present study the investigators aim:
1. to evaluate the performance of the L-GrAFT score and its ability to predict graft loss in the early post-operative phase (i.e. 90 days after LT) in a cohort of patients who received a primary LT from 2016 to 2017 in one of 14 LT Centers based in Italy, analyzing their prospectively maintained databases with a minimum follow up of 6 months;
2. to develop a simplified algorithm, derived from the L-GrAFT algorithm, based on the Italian LT population, reducing the number of determinations allowing an easier data entry, which is predictive of EAF at 90 (90dEASE Score) and also at 30 days post LT (30dEASE Score);
3. to validate the EASE scores on a population internal to the Italian database, using bootstrap methodology;
4. to validate the EASE scores on an external UK liver transplant Cohort. The investigators are planning to present the results of the study in international congresses and meetings and after that to produce a manuscript.
Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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Training set
Cohort of consecutive liver transplants performed in 2016-2017 from 14 liver transplant centers in Italy
Liver transplantation
Liver transplantation from deceased donors
Validation set
Cohort of consecutive liver transplants performed in 2016-2017 from 2 liver transplant centers in the United Kingdom
Liver transplantation
Liver transplantation from deceased donors
Interventions
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Liver transplantation
Liver transplantation from deceased donors
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* living donor liver transplant
* domino liver transplant
* pediatric transplants
* HIV+ recipients
18 Years
73 Years
ALL
No
Sponsors
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Azienda Ospedaliero, Universitaria Pisana
OTHER
The Mediterranean Institute for Transplantation and Advanced Specialized Therapies
OTHER
University Hospital Padova
OTHER
Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico
OTHER
A.O. Ospedale Papa Giovanni XXIII
OTHER
Ospedali Riuniti Ancona
OTHER
Fondazione IRCCS Istituto Nazionale dei Tumori, Milano
OTHER
Azienda Ospedaliero-Universitaria di Modena
OTHER
University of Roma La Sapienza
OTHER
Azienda Ospedaliera Universitaria Integrata Verona
OTHER
IRCCS Azienda Ospedaliero-Universitaria di Bologna
OTHER
Azienda Ospedaliera Niguarda Cà Granda
OTHER
A.O.U. Città della Salute e della Scienza
OTHER
University Hospital Birmingham NHS Foundation Trust
OTHER
Newcastle-upon-Tyne Hospitals NHS Trust
OTHER
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
OTHER
Responsible Party
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Prof. Alfonso Avolio
Professor
Principal Investigators
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Locations
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Fondazione Policlinico Universitario A. Gemelli, IRCCS
Roma, , Italy
Countries
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References
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Agopian VG, Harlander-Locke MP, Markovic D, Dumronggittigule W, Xia V, Kaldas FM, Zarrinpar A, Yersiz H, Farmer DG, Hiatt JR, Busuttil RW. Evaluation of Early Allograft Function Using the Liver Graft Assessment Following Transplantation Risk Score Model. JAMA Surg. 2018 May 1;153(5):436-444. doi: 10.1001/jamasurg.2017.5040.
Other Identifiers
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Prot. 35355/18 ID:2232
Identifier Type: -
Identifier Source: org_study_id
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