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Kinetic Estimation of GFR Improves Prediction of Dialysis and Recovery after Kidney Transplantation

BACKGROUND: The early prediction of delayed graft function (DGF) would facilitate patient management after kidney transplantation. METHODS: In a single-centre retrospective analysis, we investigated kinetic estimated GFR under non-steady-state conditions, KeGFR, in prediction of DGF. KeGFR(sCr) was...

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Autores principales: Pianta, Timothy J., Endre, Zoltan H., Pickering, John W., Buckley, Nicholas A., Peake, Philip W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4418565/
https://www.ncbi.nlm.nih.gov/pubmed/25938452
http://dx.doi.org/10.1371/journal.pone.0125669
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author Pianta, Timothy J.
Endre, Zoltan H.
Pickering, John W.
Buckley, Nicholas A.
Peake, Philip W.
author_facet Pianta, Timothy J.
Endre, Zoltan H.
Pickering, John W.
Buckley, Nicholas A.
Peake, Philip W.
author_sort Pianta, Timothy J.
collection PubMed
description BACKGROUND: The early prediction of delayed graft function (DGF) would facilitate patient management after kidney transplantation. METHODS: In a single-centre retrospective analysis, we investigated kinetic estimated GFR under non-steady-state conditions, KeGFR, in prediction of DGF. KeGFR(sCr) was calculated at 4h, 8h and 12h in 56 recipients of deceased donor kidneys from initial serum creatinine (sCr) concentrations, estimated creatinine production rate, volume of distribution, and the difference between consecutive sCr values. The utility of KeGFR(sCr) for DGF prediction was compared with, sCr, plasma cystatin C (pCysC), and KeGFR(pCysC) similarly derived from pCysC concentrations. RESULTS: At 4h, the KeGFR(sCr) area under the receiver operator characteristic curve (AUC) for DGF prediction was 0.69 (95% CI: 0.56–0.83), while sCr was not useful (AUC 0.56, (CI: 0.41–0.72). Integrated discrimination improvement analysis showed that the KeGFR(sCr) improved a validated clinical prediction model at 4h, 8h, and 12h, increasing the AUC from 0.68 (0.52–0.83) to 0.88 (0.78–0.99) at 12h (p = 0.01). KeGFR(pCysC) also improved DGF prediction. In contrast, sCr provided no improvement at any time point. CONCLUSIONS: Calculation of KeGFR from sCr facilitates early prediction of DGF within 4 hours of renal transplantation.
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spelling pubmed-44185652015-05-12 Kinetic Estimation of GFR Improves Prediction of Dialysis and Recovery after Kidney Transplantation Pianta, Timothy J. Endre, Zoltan H. Pickering, John W. Buckley, Nicholas A. Peake, Philip W. PLoS One Research Article BACKGROUND: The early prediction of delayed graft function (DGF) would facilitate patient management after kidney transplantation. METHODS: In a single-centre retrospective analysis, we investigated kinetic estimated GFR under non-steady-state conditions, KeGFR, in prediction of DGF. KeGFR(sCr) was calculated at 4h, 8h and 12h in 56 recipients of deceased donor kidneys from initial serum creatinine (sCr) concentrations, estimated creatinine production rate, volume of distribution, and the difference between consecutive sCr values. The utility of KeGFR(sCr) for DGF prediction was compared with, sCr, plasma cystatin C (pCysC), and KeGFR(pCysC) similarly derived from pCysC concentrations. RESULTS: At 4h, the KeGFR(sCr) area under the receiver operator characteristic curve (AUC) for DGF prediction was 0.69 (95% CI: 0.56–0.83), while sCr was not useful (AUC 0.56, (CI: 0.41–0.72). Integrated discrimination improvement analysis showed that the KeGFR(sCr) improved a validated clinical prediction model at 4h, 8h, and 12h, increasing the AUC from 0.68 (0.52–0.83) to 0.88 (0.78–0.99) at 12h (p = 0.01). KeGFR(pCysC) also improved DGF prediction. In contrast, sCr provided no improvement at any time point. CONCLUSIONS: Calculation of KeGFR from sCr facilitates early prediction of DGF within 4 hours of renal transplantation. Public Library of Science 2015-05-04 /pmc/articles/PMC4418565/ /pubmed/25938452 http://dx.doi.org/10.1371/journal.pone.0125669 Text en © 2015 Pianta et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Pianta, Timothy J.
Endre, Zoltan H.
Pickering, John W.
Buckley, Nicholas A.
Peake, Philip W.
Kinetic Estimation of GFR Improves Prediction of Dialysis and Recovery after Kidney Transplantation
title Kinetic Estimation of GFR Improves Prediction of Dialysis and Recovery after Kidney Transplantation
title_full Kinetic Estimation of GFR Improves Prediction of Dialysis and Recovery after Kidney Transplantation
title_fullStr Kinetic Estimation of GFR Improves Prediction of Dialysis and Recovery after Kidney Transplantation
title_full_unstemmed Kinetic Estimation of GFR Improves Prediction of Dialysis and Recovery after Kidney Transplantation
title_short Kinetic Estimation of GFR Improves Prediction of Dialysis and Recovery after Kidney Transplantation
title_sort kinetic estimation of gfr improves prediction of dialysis and recovery after kidney transplantation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4418565/
https://www.ncbi.nlm.nih.gov/pubmed/25938452
http://dx.doi.org/10.1371/journal.pone.0125669
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