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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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. |
format | Online Article Text |
id | pubmed-4418565 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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