Literature DB >> 30253052

Organ donor management and delayed graft function in kidney transplant recipients: A multicenter retrospective cohort study.

Heloise Cardinal1, Florence Lamarche2, Stéphanie Grondin2, Pierre Marsolais2, Anne-Marie Lagacé2, Anatolie Duca2, Martin Albert2, Isabelle Houde3, Anne Boucher4, Mélanie Masse5, Dana Baran6, Josée Bouchard2.   

Abstract

Meeting donor management goals (DMGs) has been reported to decrease the incidence of delayed graft function (DGF) after kidney transplant, but whether this relationship is independent of cold machine perfusion is unclear. We aimed to determine whether meeting DMGs is associated with a reduced incidence of DGF, independent of the use of machine perfusion. We collected data on consecutive brain-dead donors and their KT recipients (KTRs) between June 2013 and December 2016 in 5 adult transplant centers. We evaluated whether DMGs were met at donor neurologic death (DND) and later time points. We defined a priori meeting optimal DMG as achieving ≥7 DMGs. Generalized estimating equations were used to predict DGF. Among 122 donors, 34% were extended-criteria donors (ECDs). The number of DMGs met increased over time (5.6 ± 1.4 at DND and 6.1 ± 1.3 at organ procurement [P < .001]). DGF occurred in 23% of 214 KTRs, and 55% received organs placed on machine perfusion. In multivariate analysis, ECD (odds ratio [OR] 2.24, 95% confidence interval [CI] 1.13-4.45), use of machine perfusion (OR 0.45, 95% CI 0.22-0.94), and optimal DMG at DND (OR 0.39, 95% CI 0.16-0.99) were associated with DGF. Early achievement of DMGs was associated with a reduced risk of the development of DGF, independent of the use of machine perfusion.
© 2018 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  clinical research/practice; critical care/intensive care management; delayed graft function (DGF); donation after brain death (DBD); donors and donation; kidney transplantation/nephrology; organ procurement and allocation

Mesh:

Year:  2018        PMID: 30253052     DOI: 10.1111/ajt.15127

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  10 in total

1.  Impact of Deceased Donor Management on Donor Heart Use and Recipient Graft Survival.

Authors:  Elizabeth A Swanson; Tony Adams; Madhukar S Patel; Salvador De La Cruz; Michael Hutchens; Kiran Khush; Mitchell B Sally; Claus U Niemann; Tahnee Groat; Darren J Malinoski
Journal:  J Am Coll Surg       Date:  2020-06-17       Impact factor: 6.113

2.  Alloimmune Risk Stratification for Kidney Transplant Rejection.

Authors:  Oriol Bestard; Olivier Thaunat; Maria Irene Bellini; Georg A Böhmig; Klemens Budde; Frans Claas; Lionel Couzi; Lucrezia Furian; Uwe Heemann; Nizam Mamode; Rainer Oberbauer; Liset Pengel; Stefan Schneeberger; Maarten Naesens
Journal:  Transpl Int       Date:  2022-05-20       Impact factor: 3.842

3.  Vasopressor selection during critical care management of brain dead organ donors and the effects on kidney graft function.

Authors:  Elizabeth A Swanson; Madhukar S Patel; Tahnee Groat; Nora E Jameson; Margaret K M Ellis; Michael P Hutchens; Claus U Niemann; Darren J Malinoski; Mitchell B Sally
Journal:  J Trauma Acute Care Surg       Date:  2020-06       Impact factor: 3.697

4.  The impact of deceased donor maintenance on delayed kidney allograft function: A machine learning analysis.

Authors:  Silvana Daher Costa; Luis Gustavo Modelli de Andrade; Francisco Victor Carvalho Barroso; Cláudia Maria Costa de Oliveira; Elizabeth De Francesco Daher; Paula Frassinetti Castelo Branco Camurça Fernandes; Ronaldo de Matos Esmeraldo; Tainá Veras de Sandes-Freitas
Journal:  PLoS One       Date:  2020-02-06       Impact factor: 3.240

5.  N-Octanoyl-Dopamine inhibits cytokine production in activated T-cells and diminishes MHC-class-II expression as well as adhesion molecules in IFNγ-stimulated endothelial cells.

Authors:  Björn B Hofmann; Nicolas Krapp; Yingchun Li; Carolina De La Torre; Marloes Sol; Jana D Braun; Matthias Kolibabka; Prama Pallavi; Bernhard K Krämer; Benito A Yard; Anna-Isabelle Kälsch
Journal:  Sci Rep       Date:  2019-12-18       Impact factor: 4.379

6.  Predictors and one-year outcomes of patients with delayed graft function after deceased donor kidney transplantation.

Authors:  Rao Chen; Haifeng Wang; Lei Song; Jianfei Hou; Jiawei Peng; Helong Dai; Longkai Peng
Journal:  BMC Nephrol       Date:  2020-12-04       Impact factor: 2.388

7.  Factors Associated With the Use of Hypothermic Machine Perfusion in Kidney Transplant Recipients: A Multicenter Retrospective Cohort Study.

Authors:  Nadir Goulamhoussen; Lawrence Slapcoff; Dana Baran; Anne Boucher; Isabelle Houde; Mélanie Masse; Martin Albert; Pierre Marsolais; Heloïse Cardinal; Josée Bouchard
Journal:  Can J Kidney Health Dis       Date:  2022-08-30

Review 8.  Renal Delivery of Pharmacologic Agents During Machine Perfusion to Prevent Ischaemia-Reperfusion Injury: From Murine Model to Clinical Trials.

Authors:  Rossana Franzin; Alessandra Stasi; Marco Fiorentino; Simona Simone; Rainer Oberbauer; Giuseppe Castellano; Loreto Gesualdo
Journal:  Front Immunol       Date:  2021-07-06       Impact factor: 7.561

9.  Comprehensive assessment of deceased donor kidneys with clinical characteristics, pre-implant biopsy histopathology and hypothermic mechanical perfusion parameters is highly predictive of delayed graft function.

Authors:  Jin Zheng; Xiaojun Hu; Xiaoming Ding; Yang Li; Chenguang Ding; Puxun Tian; Heli Xiang; Xinshun Feng; Xiaoming Pan; Hang Yan; Jun Hou; Xiaohui Tian; Zunwei Liu; Xuzhen Wang; Wujun Xue
Journal:  Ren Fail       Date:  2020-11       Impact factor: 2.606

10.  Molecular Fingerprints of Borderline Changes in Kidney Allografts Are Influenced by Donor Category.

Authors:  Petra Hruba; Zdenek Krejcik; Michaela Dostalova Merkerova; Jiri Klema; Viktor Stranecky; Janka Slatinska; Jana Maluskova; Eva Honsova; Ondrej Viklicky
Journal:  Front Immunol       Date:  2020-03-25       Impact factor: 7.561

  10 in total

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