Literature DB >> 24897036

A useful scoring system for the prediction and management of delayed graft function following kidney transplantation from cadaveric donors.

Marion Chapal1, Florent Le Borgne2, Christophe Legendre3, Henri Kreis3, Georges Mourad4, Valérie Garrigue4, Emmanuel Morelon5, Fanny Buron5, Lionel Rostaing6, Nassim Kamar6, Michèle Kessler7, Marc Ladrière7, Jean-Paul Soulillou1, Katy Launay8, Pascal Daguin9, Lucile Offredo2, Magali Giral1, Yohann Foucher8.   

Abstract

Delayed graft function (DGF) is a common complication in kidney transplantation and is known to be correlated with short- and long-term graft outcomes. Here we explored the possibility of developing a simple tool that could predict with good confidence the occurrence of DGF and could be helpful in current clinical practice. We built a score, tentatively called DGFS, from a French multicenter and prospective cohort of 1844 adult recipients of deceased donor kidneys collected since 2007, and computerized in the Données Informatisées et VAlidées en Transplantation databank. Only five explicative variables (cold ischemia time, donor age, donor serum creatinine, recipient body mass index, and induction therapy) contributed significantly to the DGF prediction. These were associated with a good predictive capacity (area under the ROC curve at 0.73). The DGFS calculation is facilitated by an application available on smartphones, tablets, or computers at www.divat.fr/en/online-calculators/dgfs. The DGFS should allow the simple classification of patients according to their DGF risk at the time of transplantation, and thus allow tailored-specific management or therapeutic strategies.

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Year:  2014        PMID: 24897036     DOI: 10.1038/ki.2014.188

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


  37 in total

1.  Alloantibodies and Allograft Arteriosclerosis: Accelerated Adversity Ahead?

Authors:  Richard N Pierson; Jonathan S Bromberg
Journal:  Circ Res       Date:  2015-08-14       Impact factor: 17.367

2.  Effects of Dopamine Donor Pretreatment on Graft Survival after Kidney Transplantation: A Randomized Trial.

Authors:  Peter Schnuelle; Wilhelm H Schmitt; Christel Weiss; Antje Habicht; Lutz Renders; Martin Zeier; Felix Drüschler; Katharina Heller; Przemyslaw Pisarski; Bernhard Banas; Bernhard K Krämer; Matthias Jung; Kai Lopau; Christoph J Olbricht; Horst Weihprecht; Peter Schenker; Johan W De Fijter; Benito A Yard; Urs Benck
Journal:  Clin J Am Soc Nephrol       Date:  2017-02-17       Impact factor: 8.237

3.  Donor Characteristics and Short-Term Kidney Allograft Outcomes: Opportunities to Expand Utilization.

Authors:  John J Friedewald; Bing Ho
Journal:  Clin J Am Soc Nephrol       Date:  2020-05-13       Impact factor: 8.237

4.  Progression of Interstitial Fibrosis during the First Year after Deceased Donor Kidney Transplantation among Patients with and without Delayed Graft Function.

Authors:  Raymond L Heilman; Maxwell L Smith; Byron H Smith; Ibrahim Qaqish; Hasan Khamash; Andrew L Singer; Bruce Kaplan; Kunam S Reddy
Journal:  Clin J Am Soc Nephrol       Date:  2016-10-24       Impact factor: 8.237

5.  Donor Age, Cold Ischemia Time, and Delayed Graft Function.

Authors:  Ilkka Helanterä; Hassan N Ibrahim; Marko Lempinen; Patrik Finne
Journal:  Clin J Am Soc Nephrol       Date:  2020-05-13       Impact factor: 8.237

Review 6.  Delayed graft function and its management in children.

Authors:  Ryszard Grenda
Journal:  Pediatr Nephrol       Date:  2016-10-24       Impact factor: 3.714

Review 7.  Preserving and rejuvenating old organs for transplantation: novel treatments including the potential of senolytics.

Authors:  Tomohisa Matsunaga; Maximilian J Roesel; Andreas Schroeter; Yao Xiao; Hao Zhou; Stefan G Tullius
Journal:  Curr Opin Organ Transplant       Date:  2022-08-09       Impact factor: 2.269

8.  Dominant predictors of early post-transplant outcomes based on the Korean Organ Transplantation Registry (KOTRY).

Authors:  Jong Cheol Jeong; Tai Yeon Koo; Han Ro; Dong Ryeol Lee; Dong Won Lee; Jieun Oh; Jayoun Kim; Dong-Wan Chae; Young Hoon Kim; Kyu Ha Huh; Jae Berm Park; Yeong Hoon Kim; Seungyeup Han; Soo Jin Na Choi; Sik Lee; Sang-Il Min; Jongwon Ha; Myoung Soo Kim; Curie Ahn; Jaeseok Yang
Journal:  Sci Rep       Date:  2022-05-24       Impact factor: 4.996

9.  A novel genomic model for predicting the likelihood of delayed graft function in DCD kidney transplantation.

Authors:  Bin Yu; Han Liang; Shujun Zhou; Qifa Ye; Yanfeng Wang
Journal:  Transl Androl Urol       Date:  2021-04

10.  Risk Prediction for Delayed Allograft Function: Analysis of the Deterioration of Kidney Allograft Function (DeKAF) Study Data.

Authors:  Arthur J Matas; Erika Helgeson; Ann Fieberg; Robert Leduc; Robert S Gaston; Bertram L Kasiske; David Rush; Lawrence Hunsicker; Fernando Cosio; Joseph P Grande; J Michael Cecka; John Connett; Roslyn B Mannon
Journal:  Transplantation       Date:  2022-02-01       Impact factor: 5.385

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