Development and Validation of a Multidimensional Score to Predict Long-term Kidney Transplant Outcomes
iBOX
Multicenter International Observational Study to Build and Validate Multidimensional Risk Score in the Clinical Setting of Kidney Allograft Biopsies to Predict Long-term Allograft Survival
1 other identifier
observational
7,557
3 countries
10
Brief Summary
To further develop personalized medicine in kidney transplantation and improve transplant patient outcomes, attention has been given to define early surrogate endpoints that might aid therapeutic interventions, clinical trials and clinical decision-making. Despite a clear pressing need, no population-scale prognostication system exists that will combine traditional factors and biomarker candidates to represent the complete spectrum of risk predicting parameters. To adequately predict transplant patients' individual risks of allograft loss, this would require a complex integration of data, including: donor data, recipient characteristics, transplant characteristics, allograft precision phenotypes, ethnicity, immunosuppressive regimen monitoring, allograft infections, acute kidney injuries, and recipient immune profiles. This project aims:
- 1.To develop a generalizable, transportable, mechanistically and data driven composite surrogate end point in kidney transplantation;
- 2.To validate several risk scores to predict kidney allograft survival and response to treatment of individual patients;
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2002
Longer than P75 for all trials
10 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2002
CompletedFirst Submitted
Initial submission to the registry
March 6, 2018
CompletedFirst Posted
Study publicly available on registry
March 22, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 29, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
April 29, 2020
CompletedMay 1, 2020
April 1, 2020
18.3 years
March 6, 2018
April 29, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Allograft survival probability
Allograft survival probability, calculated from a composite score (based on clinical, histological, immunological, and functional variables) assessed at the time of biopsy.
Allograft survival probability at 7 year post transplantation
Interventions
Kidney recipients aged over 18 and of all sexes recruited from 2002 in European and North American centers, who have eGFR follow-up and data from protocol and for cause biopsies available for allograft survival assessment; RCT conducted over the past 20 years with available data on protocol biopsy within the first year and follow up clinical, biological and histological data.
Eligibility Criteria
Kidney recipients aged over 18 and of all sexes recruited from 2002 in European and North American centers, who have eGFR follow-up and data from protocol and for cause biopsies for allograft survival assessment as well as RCTs with longitudinal data including baseline and follow-up clinical, functional, immunological and histological data.
You may qualify if:
- Kidney recipient transplanted after 2002
- Kidney recipient over 18 years of age
You may not qualify if:
- Combined transplantation
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (10)
Department of Surgery, Johns Hopkins University School of Medicine
Baltimore, Maryland, 21205, United States
William J. von Liebig Center for Transplantation and Clinical Regeneration
Rochester, Minnesota, 55905, United States
Virginia Commonwealth University School of Medicine
Richmond, Virginia, 980663, United States
Department of Nephrology and Renal Transplantation, University Hospitals Leuven
Leuven, 3000, Belgium
Department of Transplantation, Nephrology and Clinical Immunology, Hospices Civils de Lyon
Lyon, 69002, France
Centre Hospitalier Universitaire de Nantes
Nantes, 44093, France
Kidney Transplant Department, Saint-Louis Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France ;
Paris, 75010, France
Kidney Transplant Department, Necker Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France;
Paris, 7509, France
Department of Transplantation, Nephrology and Clinical Immunology, Hôpital Foch, Suresnes, France
Suresnes, 92150, France
Department of Nephrology and Organ Transplantation, CHU Rangueil
Toulouse, 31059, France
Related Publications (3)
Truchot A, Raynaud M, Helantera I, Aubert O, Kamar N, Divard G, Astor B, Legendre C, Hertig A, Buchler M, Crespo M, Akalin E, Pujol GS, Ribeiro de Castro MC, Matas AJ, Ulloa C, Jordan SC, Huang E, Juric I, Basic-Jukic N, Coemans M, Naesens M, Friedewald JJ, Silva HT Jr, Lefaucheur C, Segev DL, Collins GS, Loupy A. Competing and Noncompeting Risk Models for Predicting Kidney Allograft Failure. J Am Soc Nephrol. 2025 Apr 1;36(4):688-701. doi: 10.1681/ASN.0000000517. Epub 2024 Oct 16.
PMID: 40168162DERIVEDAubert O, Divard G, Pascual J, Oppenheimer F, Sommerer C, Citterio F, Tedesco H, Chadban S, Henry M, Vincenti F, Srinivas T, Watarai Y, Legendre C, Bernhardt P, Loupy A. Application of the iBox prognostication system as a surrogate endpoint in the TRANSFORM randomised controlled trial: proof-of-concept study. BMJ Open. 2021 Oct 7;11(10):e052138. doi: 10.1136/bmjopen-2021-052138.
PMID: 34620664DERIVEDLoupy A, Aubert O, Orandi BJ, Naesens M, Bouatou Y, Raynaud M, Divard G, Jackson AM, Viglietti D, Giral M, Kamar N, Thaunat O, Morelon E, Delahousse M, Kuypers D, Hertig A, Rondeau E, Bailly E, Eskandary F, Bohmig G, Gupta G, Glotz D, Legendre C, Montgomery RA, Stegall MD, Empana JP, Jouven X, Segev DL, Lefaucheur C. Prediction system for risk of allograft loss in patients receiving kidney transplants: international derivation and validation study. BMJ. 2019 Sep 17;366:l4923. doi: 10.1136/bmj.l4923.
PMID: 31530561DERIVED
Study Officials
- PRINCIPAL INVESTIGATOR
Alexandre Loupy, PhD
Paris Translational Research Center for Organ Transplantation
- PRINCIPAL INVESTIGATOR
Carmen Lefaucheur, PhD
Paris Translational Research Center for Organ Transplantation
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor Alexandre Loupy
Study Record Dates
First Submitted
March 6, 2018
First Posted
March 22, 2018
Study Start
January 1, 2002
Primary Completion
April 29, 2020
Study Completion
April 29, 2020
Last Updated
May 1, 2020
Record last verified: 2020-04
Data Sharing
- IPD Sharing
- Will not share