Evidence map›Paper›PMID 39131238›Full record

ArticleTransplantation direct2024

Risk Stratification Before Living Donor Kidney Transplantation in Patients With Preformed Donor-specific Antibodies by Different Crossmatch Methods.

Malte Ziemann, Monika Lindemann, Michael Hallensleben, Wolfgang Altermann, Karina Althaus, Klemens Budde, Gunilla Einecke, Ute Eisenberger, Andrea Ender, Thorsten Feldkamp and 21 more

Abstract read
In one paragraph

Article in Transplantation direct, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

31 authors.

Malte ZiemannInstitute for Transfusion Medicine, University Hospital of Schleswig-Holstein, Lübeck, Germany.ORCID https://orcid.org/0000-0003-0919-0237
Monika LindemannInstitute for Transfusion Medicine, University Hospital Essen, Essen, Germany.
Michael HallenslebenInstitute for Transfusion Medicine, Medizinische Hochschule Hannover, Hannover, Germany.
Wolfgang AltermannInstitute for Transfusion Medicine, University Hospital Halle, Halle, Germany.
Karina AlthausInstitute for Clinical and Experimental Transfusion Medicine, University Hospital of Tübingen, Tübingen, Germany.
Klemens BuddeMedizinische Klinik m. S. Nephrologie, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Gunilla EineckeKlinik für Nieren- und Hochdruckerkrankungen, Medizinische Hochschule Hannover, Hannover, Germany.
Ute EisenbergerKlinik für Nephrologie, University Hospital Essen, Essen, Germany.
Andrea EnderInstitute for Transfusion Medicine, Klinikum der Landeshauptstadt Stuttgart, Stuttgart, Germany.
Thorsten FeldkampTransplant Center, University Hospital of Schleswig-Holstein, Kiel, Germany.
Florian GrahammerIII. Medizinische Klinik und Poliklinik für Nephrologie, Rheumatologie und Endokrinologie, University Hospital Hamburg Eppendorf, Hamburg, Germany.
Martina GuthoffMedizinische Klinik IV, Sektion Nieren- und Hochdruckkrankheiten, University Hospital Tübingen, Tübingen, Germany.
Christopher Holzmann-LittigNephrologie, Klinikum Rechts der Isar, Technische Universität München, München, Germany.
Christian HugoMedizinische Klinik III, University Hospital Carl Gustav Carus, Dresden, Germany.
Teresa KaukeAbteilung für Transfusionsmedizin, Zelltherapeutika und Hämostaseologie, Labor für Immungenetik, Klinik für Anästhesiologie, Klinikum der Universität München, München, Germany.
Stephan KemmnerTransplant Center, Klinikum der Universität München, München, Germany.
Martina KochHepatobiliäre Chirurgie und Transplantationschirurgie, University Hospital Hamburg, Hamburg, Germany.
Nils LachmannHLA-Labor, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Matthias MargetInstitute for Transfusion Medicine, University Hospital Hamburg, Hamburg, Germany.
Christian MorathZentrum für Innere Medizin, Nephrologie, University Hospital Heidelberg, Heidelberg, Germany.
Martin NitschkeTransplant Center, University Hospital of Schleswig-Holstein, Lübeck, Germany.
Lutz RendersNephrologie, Klinikum Rechts der Isar, Technische Universität München, München, Germany.
Sabine SchererInstitut für Immunologie, Transplantationsimmunologie, University Hospital Heidelberg, Heidelberg, Germany.
Julian StumpfMedizinische Klinik III, University Hospital Carl Gustav Carus, Dresden, Germany.
Vedat SchwengerKlinik für Nieren-, Hochdruck- und Autoimmunerkrankungen, Klinikum der Landeshauptstadt Stuttgart, Stuttgart, Germany.
Florian SommerKlinik für Allgemein-, Viszeral- und Transplantationschirurgie, University Hospital Augsburg, Augsburg, Germany.
Bernd SpriewaldMedizinische Klinik 5-Hämatologie und Internistische Onkologie, University Hospital Erlangen, Erlangen, Germany.
Caner SüsalInstitut für Immunologie, Transplantationsimmunologie, University Hospital Heidelberg, Heidelberg, Germany.
Daniel ZecherDepartment of Nephrology, University Hospital Regensburg, Regensburg, Germany.
Falko M HeinemannInstitute for Transfusion Medicine, University Hospital Essen, Essen, Germany.
Murielle VerboomInstitute for Transfusion Medicine, Medizinische Hochschule Hannover, Hannover, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Preformed donor-specific HLA antibodies (DSA) are a well-known risk factor in kidney transplantation. There is still considerable debate, however, about the optimal risk stratification among patients with preformed DSA. Additionally, data on the prognostic value of different crossmatch assays in DSA-positive patients are scarce. Methods: DSA-positive living kidney transplant recipients were selected from a multicenter study examining 4233 consecutive renal transplants. An additional 7 patients from 2 further centers were included. Flow cytometric crossmatches (FXM), Luminex-based crossmatches, and virtual crossmatches based on C1q- and C3d-binding antibodies (C1qXM and C3dXM) were performed retrospectively using pretransplant sera and lymphocytes isolated from fresh samples. These samples were obtained from 44 donor and recipient pairs from 12 centers. Clinical outcome data and the control group without DSA were compiled from the previous study and were supplemented by data on 10-y death-censored graft survival (10yGS). Results: Between 19% (C3dXM) and 46% (FXM) of crossmatches were positive. Crossmatch-positive patients showed high incidences of antibody-mediated rejection (AMR) within 6 mo (up to 60% in B-cell FXM+ patients). The incidence of AMR in crossmatch-negative patients ranged between 5% (FXM-) and 13% (C1qXM-). 10yGS was significantly impaired in patients with positive T-cell FXM and total FXM compared with both patients without DSA and those with DSA with negative FXM. Conclusions: Especially FXM are useful for risk stratification, as the outcome of DSA-positive, FXM-negative patients is similar to that of DSA-negative patients, whereas FXM-positive patients have both more AMR and decreased 10yGS. Because of their lower sensitivity, the significance of Luminex-based crossmatches, C1qXM, and C3dXM would have to be examined in patients with stronger DSA.

Identifiers

PMID39131238
PMCPMC11315586

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