Evidence map›Paper›PMID 36211367›Full record

ArticleFrontiers in immunology2022

The impact of pre-transplant donor specific antibodies on the outcome of kidney transplantation - Data from the Swiss transplant cohort study.

Lukas Frischknecht, Yun Deng, Caroline Wehmeier, Olivier de Rougemont, Jean Villard, Sylvie Ferrari-Lacraz, Déla Golshayan, Monique Gannagé, Isabelle Binet, Urs Wirthmueller and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 1 country.

Lukas FrischknechtDepartment of Immunology, University Hospital Zurich (USZ), Zurich, Switzerland.
Yun DengDepartment of Immunology, University Hospital Zurich (USZ), Zurich, Switzerland.
Caroline WehmeierClinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland.
Olivier de RougemontDepartment of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland.
Jean VillardTransplantation Immunology Unit and National Reference Laboratory for Histocompatibility, Department of Diagnostic, Geneva University Hospitals, Geneva, Switzerland.
Sylvie Ferrari-LacrazTransplantation Immunology Unit and National Reference Laboratory for Histocompatibility, Department of Diagnostic, Geneva University Hospitals, Geneva, Switzerland.
Déla GolshayanTransplantation Center, Lausanne University Hospital, Lausanne, Switzerland.
Monique GannagéService of Immunology and Allergy, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
Isabelle BinetNephrology & Transplantation Medicine, Cantonal Hospital St. Gallen, St. Gallen, Switzerland.
Urs WirthmuellerDepartment of Laboratory Medicine, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Daniel SidlerDepartment of Nephrology and Hypertension, Inselspital, Berne University Hospital and University of Berne, Berne, Switzerland.
Thomas SchachtnerDivision of Nephrology, University Hospital Zurich, Zurich, Switzerland.
Stefan SchaubClinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland.
Jakob NilssonDepartment of Immunology, University Hospital Zurich (USZ), Zurich, Switzerland.
Swiss Transplant Cohort Study
University Hospital of Zurich · CHUniversity Hospital of Basel · CHUniversity Hospital of Geneva · CHUniversity of Bern · CHUniversity of Lausanne · CHUniversity of St.Gallen · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pre-transplant donor specific antibodies (DSA), directed at non-self human leukocyte antigen (HLA) protein variants present in the donor organ, have been associated with worse outcomes in kidney transplantation. The impact of the mean fluorescence intensity (MFI) and the target HLA antigen of the detected DSA has, however, not been conclusively studied in a large cohort with a complete virtual cross-match (vXM). Methods: We investigated the effect of pre-transplant DSA on the risk of antibody-mediated rejection (ABMR), graft loss, and the rate of eGFR decline in 411 DSA positive transplants and 1804 DSA negative controls. Results: Pre-transplant DSA were associated with a significantly increased risk of ABMR, graft loss, and accelerated eGFR decline. DSA directed at Class I and Class II HLA antigens were strongly associated with increased risk of ABMR, but only DSA directed at Class II associated with graft loss. DSA MFI markedly affected outcome, and Class II DSA were associated with ABMR already at 500-1000 MFI, whereas Class I DSA did not affect outcome at similar low MFI values. Furthermore, isolated DSA against HLA-DP carried comparable risks for ABMR, accelerated eGFR decline, and graft loss as DSA against HLA-DR. Conclusion: Our results have important implications for the construction and optimization of vXM algorithms used within organ allocation systems. Our data suggest that both the HLA antigen target of the detected DSA as well as the cumulative MFI should be considered and that different MFI cut-offs could be considered for Class I and Class II directed DSA.

Indexed as

Kidney TransplantationAntibodiesCohort StudiesGraft RejectionGraft SurvivalHLA AntigensHLA-DP AntigensHumansSwitzerlandTissue DonorsAntibodiesHLA AntigensHLA-DP Antigensabmrdonor specific antibodiesgraft losskidney transplantationvirtual cross-match

Identifiers

PMID36211367
PMCPMC9532952
OpenAlexW4296736572

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.