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Kinetic GFR Outperforms CKD-EPI for Slow Graft Function Prediction in the Immediate Postoperative Period Following Kidney Transplantation

Background: Rapid identification of patients at high risk for slow graft function (SGF) is of major importance in the immediate period following renal graft transplantation, both for early therapeutic decisions and long-term prognosis. Due to the high variability of serum creatinine levels after sur...

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Autores principales: Dash, Jonathan, Verissimo, Thomas, Faivre, Anna, Berchtold, Lena, Berney, Thierry, Pugin, Jérôme, de Seigneux, Sophie, Legouis, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763889/
https://www.ncbi.nlm.nih.gov/pubmed/33322021
http://dx.doi.org/10.3390/jcm9124003
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author Dash, Jonathan
Verissimo, Thomas
Faivre, Anna
Berchtold, Lena
Berney, Thierry
Pugin, Jérôme
de Seigneux, Sophie
Legouis, David
author_facet Dash, Jonathan
Verissimo, Thomas
Faivre, Anna
Berchtold, Lena
Berney, Thierry
Pugin, Jérôme
de Seigneux, Sophie
Legouis, David
author_sort Dash, Jonathan
collection PubMed
description Background: Rapid identification of patients at high risk for slow graft function (SGF) is of major importance in the immediate period following renal graft transplantation, both for early therapeutic decisions and long-term prognosis. Due to the high variability of serum creatinine levels after surgery, glomerular filtration rate (GFR) estimation is challenging. In this situation, kinetic estimated GFR (KeGFR) equations are interesting tools but have never been assessed for the identification of SGF patients. Methods: We conducted a single-center retrospective cohort study, including all consecutive kidney allograft recipients in the University Hospitals of Geneva from 2008 to 2016. GFR was estimated using both CKD-EPI and KeGFR formulae. Their accuracies for SGF prediction were compared. Patients were followed up for one year after transplantation. Results: A total of 326 kidney recipients were analyzed. SGF occurred in 76 (23%) patients. KeGFR estimation stabilized from the day following kidney transplantation, more rapidly than CKD-EPI. Discrimination ability for SGF prediction was better for KeGFR than CKD-EPI (AUC 0.82 and 0.66, p < 0.001, respectively). Conclusion: KeGFR computed from the first day after renal transplantation was able to predict SGF with good discrimination, outperforming CKD-EPI estimation. SGF patients had lower renal graft function overall at the one-year follow up.
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spelling pubmed-77638892020-12-27 Kinetic GFR Outperforms CKD-EPI for Slow Graft Function Prediction in the Immediate Postoperative Period Following Kidney Transplantation Dash, Jonathan Verissimo, Thomas Faivre, Anna Berchtold, Lena Berney, Thierry Pugin, Jérôme de Seigneux, Sophie Legouis, David J Clin Med Article Background: Rapid identification of patients at high risk for slow graft function (SGF) is of major importance in the immediate period following renal graft transplantation, both for early therapeutic decisions and long-term prognosis. Due to the high variability of serum creatinine levels after surgery, glomerular filtration rate (GFR) estimation is challenging. In this situation, kinetic estimated GFR (KeGFR) equations are interesting tools but have never been assessed for the identification of SGF patients. Methods: We conducted a single-center retrospective cohort study, including all consecutive kidney allograft recipients in the University Hospitals of Geneva from 2008 to 2016. GFR was estimated using both CKD-EPI and KeGFR formulae. Their accuracies for SGF prediction were compared. Patients were followed up for one year after transplantation. Results: A total of 326 kidney recipients were analyzed. SGF occurred in 76 (23%) patients. KeGFR estimation stabilized from the day following kidney transplantation, more rapidly than CKD-EPI. Discrimination ability for SGF prediction was better for KeGFR than CKD-EPI (AUC 0.82 and 0.66, p < 0.001, respectively). Conclusion: KeGFR computed from the first day after renal transplantation was able to predict SGF with good discrimination, outperforming CKD-EPI estimation. SGF patients had lower renal graft function overall at the one-year follow up. MDPI 2020-12-10 /pmc/articles/PMC7763889/ /pubmed/33322021 http://dx.doi.org/10.3390/jcm9124003 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dash, Jonathan
Verissimo, Thomas
Faivre, Anna
Berchtold, Lena
Berney, Thierry
Pugin, Jérôme
de Seigneux, Sophie
Legouis, David
Kinetic GFR Outperforms CKD-EPI for Slow Graft Function Prediction in the Immediate Postoperative Period Following Kidney Transplantation
title Kinetic GFR Outperforms CKD-EPI for Slow Graft Function Prediction in the Immediate Postoperative Period Following Kidney Transplantation
title_full Kinetic GFR Outperforms CKD-EPI for Slow Graft Function Prediction in the Immediate Postoperative Period Following Kidney Transplantation
title_fullStr Kinetic GFR Outperforms CKD-EPI for Slow Graft Function Prediction in the Immediate Postoperative Period Following Kidney Transplantation
title_full_unstemmed Kinetic GFR Outperforms CKD-EPI for Slow Graft Function Prediction in the Immediate Postoperative Period Following Kidney Transplantation
title_short Kinetic GFR Outperforms CKD-EPI for Slow Graft Function Prediction in the Immediate Postoperative Period Following Kidney Transplantation
title_sort kinetic gfr outperforms ckd-epi for slow graft function prediction in the immediate postoperative period following kidney transplantation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7763889/
https://www.ncbi.nlm.nih.gov/pubmed/33322021
http://dx.doi.org/10.3390/jcm9124003
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