Early Estimated Glomerular Filtration Rate Trajectories After Kidney Transplant Biopsy as a Surrogate Endpoint for Graft Survival in Late Antibody-Mediated Rejection.

allograft loss antibody-mediated allograft rejection donor-specific anti HLA antibodies estimated glomerular filtration rate (eGFR) fine and gray model landmark analysis surrogate end point validation

Journal

Frontiers in medicine
ISSN: 2296-858X
Titre abrégé: Front Med (Lausanne)
Pays: Switzerland
ID NLM: 101648047

Informations de publication

Date de publication:
2022
Historique:
received: 17 11 2021
accepted: 14 03 2022
entrez: 9 5 2022
pubmed: 10 5 2022
medline: 10 5 2022
Statut: epublish

Résumé

Late antibody-mediated rejection (ABMR) after kidney transplantation is a major cause of long-term allograft loss with currently no proven treatment strategy. Design for trials testing treatment for late ABMR poses a major challenge as hard clinical endpoints require large sample sizes. We performed a retrospective cohort study applying commonly used selection criteria to evaluate the slope of the estimated glomerular filtration rate (eGFR) within an early and short timeframe after biopsy as a surrogate of future allograft loss for clinical trials addressing late ABMR. Study subjects were identified upon screening of the Vienna transplant biopsy database. Main inclusion criteria were (i) a solitary kidney transplant between 2000 and 2013, (ii) diagnosis of ABMR according to the Banff 2015 scheme at >12 months post-transplantation, (iii) age 15-75 years at ABMR diagnosis, (iv) an eGFR > 25 mL/min/1.73 m A total of 70 allografts from 68 patients were included. An eGFR loss of 1 ml/min/1.73 m Our study supports the use of the eGFR slope modeled for at least 12 months after biopsy-proven diagnosis of late ABMR, as a surrogate parameter for future allograft loss. The simultaneous occurrence of glomerulonephritis together with ABMR at index biopsy and the use of ATG at the time of transplantation-likely representing a confounder in pre-sensitized recipients-were strongly associated with worse transplant outcomes.

Sections du résumé

Background UNASSIGNED
Late antibody-mediated rejection (ABMR) after kidney transplantation is a major cause of long-term allograft loss with currently no proven treatment strategy. Design for trials testing treatment for late ABMR poses a major challenge as hard clinical endpoints require large sample sizes. We performed a retrospective cohort study applying commonly used selection criteria to evaluate the slope of the estimated glomerular filtration rate (eGFR) within an early and short timeframe after biopsy as a surrogate of future allograft loss for clinical trials addressing late ABMR.
Methods UNASSIGNED
Study subjects were identified upon screening of the Vienna transplant biopsy database. Main inclusion criteria were (i) a solitary kidney transplant between 2000 and 2013, (ii) diagnosis of ABMR according to the Banff 2015 scheme at >12 months post-transplantation, (iii) age 15-75 years at ABMR diagnosis, (iv) an eGFR > 25 mL/min/1.73 m
Results UNASSIGNED
A total of 70 allografts from 68 patients were included. An eGFR loss of 1 ml/min/1.73 m
Conclusion UNASSIGNED
Our study supports the use of the eGFR slope modeled for at least 12 months after biopsy-proven diagnosis of late ABMR, as a surrogate parameter for future allograft loss. The simultaneous occurrence of glomerulonephritis together with ABMR at index biopsy and the use of ATG at the time of transplantation-likely representing a confounder in pre-sensitized recipients-were strongly associated with worse transplant outcomes.

Identifiants

pubmed: 35530045
doi: 10.3389/fmed.2022.817127
pmc: PMC9069161
doi:

Types de publication

Journal Article

Langues

eng

Pagination

817127

Informations de copyright

Copyright © 2022 Borski, Kainz, Kozakowski, Regele, Kläger, Strassl, Fischer, Faé, Wenda, Kikić, Bond, Reindl-Schwaighofer, Mayer, Eder, Wahrmann, Haindl, Doberer, Böhmig and Eskandary.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Anita Borski (A)

Department of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.

Alexander Kainz (A)

Department of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.

Nicolas Kozakowski (N)

Department of Pathology, Medical University Vienna, Vienna, Austria.

Heinz Regele (H)

Department of Pathology, Medical University Vienna, Vienna, Austria.

Johannes Kläger (J)

Department of Pathology, Medical University Vienna, Vienna, Austria.

Robert Strassl (R)

Division of Clinical Virology, Department of Laboratory Medicine, Medical University Vienna, Vienna, Austria.

Gottfried Fischer (G)

Department of Blood Group Serology and Transfusion Medicine, Medical University Vienna, Vienna, Austria.

Ingrid Faé (I)

Department of Blood Group Serology and Transfusion Medicine, Medical University Vienna, Vienna, Austria.

Sabine Wenda (S)

Department of Blood Group Serology and Transfusion Medicine, Medical University Vienna, Vienna, Austria.

Željko Kikić (Ž)

Department of Urology, Medical University Vienna, Vienna, Austria.

Gregor Bond (G)

Department of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.

Roman Reindl-Schwaighofer (R)

Department of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.

Katharina A Mayer (KA)

Department of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.

Michael Eder (M)

Department of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.

Markus Wahrmann (M)

Department of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.

Susanne Haindl (S)

Department of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.

Konstantin Doberer (K)

Department of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.

Georg A Böhmig (GA)

Department of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.

Farsad Eskandary (F)

Department of Nephrology and Dialysis, Medical University Vienna, Vienna, Austria.

Classifications MeSH