PLoS ONE (Jan 2015)

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

  • Timothy J Pianta,
  • Zoltan H Endre,
  • John W Pickering,
  • Nicholas A Buckley,
  • Philip W Peake

DOI
https://doi.org/10.1371/journal.pone.0125669
Journal volume & issue
Vol. 10, no. 5
p. e0125669

Abstract

Read online

BackgroundThe early prediction of delayed graft function (DGF) would facilitate patient management after kidney transplantation.MethodsIn 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.ResultsAt 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.ConclusionsCalculation of KeGFR from sCr facilitates early prediction of DGF within 4 hours of renal transplantation.