Literature DB >> 32781106

Trajectories of glomerular filtration rate and progression to end stage kidney disease after kidney transplantation.

Marc Raynaud1, Olivier Aubert2, Peter P Reese3, Yassine Bouatou1, Maarten Naesens4, Nassim Kamar5, Élodie Bailly6, Magali Giral7, Marc Ladrière8, Moglie Le Quintrec9, Michel Delahousse10, Ivana Juric11, Nikolina Basic-Jukic11, Gaurav Gupta12, Enver Akalin13, Daniel Yoo1, Chen-Shan Chin14, Cécile Proust-Lima15, Georg Böhmig16, Rainer Oberbauer17, Mark D Stegall18, Andrew J Bentall18, Stanley C Jordan19, Edmund Huang19, Denis Glotz20, Christophe Legendre2, Robert A Montgomery21, Dorry L Segev22, Jean-Philippe Empana1, Morgan E Grams23, Josef Coresh23, Xavier Jouven1, Carmen Lefaucheur20, Alexandre Loupy24.   

Abstract

Although the gold standard of monitoring kidney transplant function relies on glomerular filtration rate (GFR), little is known about GFR trajectories after transplantation, their determinants, and their association with outcomes. To evaluate these parameters we examined kidney transplant recipients receiving care at 15 academic centers. Patients underwent prospective monitoring of estimated GFR (eGFR) measurements, with assessment of clinical, functional, histological and immunological parameters. Additional validation took place in seven randomized controlled trials that included a total of 14,132 patients with 403,497 eGFR measurements. After a median follow-up of 6.5 years, 1,688 patients developed end-stage kidney disease. Using unsupervised latent class mixed models, we identified eight distinct eGFR trajectories. Multinomial regression models identified seven significant determinants of eGFR trajectories including donor age, eGFR, proteinuria, and several significant histological features: graft scarring, graft interstitial inflammation and tubulitis, microcirculation inflammation, and circulating anti-HLA donor specific antibodies. The eGFR trajectories were associated with progression to end stage kidney disease. These trajectories, their determinants and respective associations with end stage kidney disease were similar across cohorts, as well as in diverse clinical scenarios, therapeutic eras and in the seven randomized control trials. Thus, our results provide the basis for a trajectory-based assessment of kidney transplant patients for risk stratification and monitoring.
Copyright © 2020 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  end-stage renal disease; glomerular filtration rate; kidney function; kidney transplantation; mortality; trajectories

Mesh:

Year:  2020        PMID: 32781106     DOI: 10.1016/j.kint.2020.07.025

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  7 in total

1.  Development of a machine learning-based prediction model for extremely rapid decline in estimated glomerular filtration rate in patients with chronic kidney disease: a retrospective cohort study using a large data set from a hospital in Japan.

Authors:  Daijo Inaguma; Hiroki Hayashi; Ryosuke Yanagiya; Akira Koseki; Toshiya Iwamori; Michiharu Kudo; Shingo Fukuma; Yukio Yuzawa
Journal:  BMJ Open       Date:  2022-06-09       Impact factor: 3.006

2.  Evolution of the stage of chronic kidney disease from the diagnosis of hypertension in primary care.

Authors:  Juan Figueroa-García; Víctor Granados-García; Juan Carlos H Hernández-Rivera; Montserrat Lagunes-Cisneros; Teresa Alvarado-Gutiérrez; José Ramón Paniagua-Sierra
Journal:  Aten Primaria       Date:  2022-05-13       Impact factor: 2.206

3.  Exploring the Complexity of Death-Censored Kidney Allograft Failure.

Authors:  Manuel Mayrdorfer; Lutz Liefeldt; Kaiyin Wu; Birgit Rudolph; Qiang Zhang; Frank Friedersdorff; Nils Lachmann; Danilo Schmidt; Bilgin Osmanodja; Marcel G Naik; Wiebke Duettmann; Fabian Halleck; Marina Merkel; Eva Schrezenmeier; Johannes Waiser; Michael Duerr; Klemens Budde
Journal:  J Am Soc Nephrol       Date:  2021-04-21       Impact factor: 14.978

4.  Forecasting of Patient-Specific Kidney Transplant Function With a Sequence-to-Sequence Deep Learning Model.

Authors:  Elisabet Van Loon; Wanqiu Zhang; Maarten Coemans; Maarten De Vos; Marie-Paule Emonds; Irina Scheffner; Wilfried Gwinner; Dirk Kuypers; Aleksandar Senev; Claire Tinel; Amaryllis H Van Craenenbroeck; Bart De Moor; Maarten Naesens
Journal:  JAMA Netw Open       Date:  2021-12-01

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

Authors:  Anita Borski; Alexander Kainz; Nicolas Kozakowski; Heinz Regele; Johannes Kläger; Robert Strassl; Gottfried Fischer; Ingrid Faé; Sabine Wenda; Željko Kikić; Gregor Bond; Roman Reindl-Schwaighofer; Katharina A Mayer; Michael Eder; Markus Wahrmann; Susanne Haindl; Konstantin Doberer; Georg A Böhmig; Farsad Eskandary
Journal:  Front Med (Lausanne)       Date:  2022-04-21

Review 6.  The Multi-Therapeutic Role of MSCs in Diabetic Nephropathy.

Authors:  Yi Wang; Su-Kang Shan; Bei Guo; Fuxingzi Li; Ming-Hui Zheng; Li-Min Lei; Qiu-Shuang Xu; Muhammad Hasnain Ehsan Ullah; Feng Xu; Xiao Lin; Ling-Qing Yuan
Journal:  Front Endocrinol (Lausanne)       Date:  2021-06-07       Impact factor: 5.555

7.  A validation study of the 4-variable and 8-variable kidney failure risk equation in transplant recipients in the United Kingdom.

Authors:  Ibrahim Ali; Philip A Kalra
Journal:  BMC Nephrol       Date:  2021-02-09       Impact factor: 2.388

  7 in total

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