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Updated: Mar 15, 2026

Mouse Kidney Transplantation: Models of Allograft Rejection
Published on: October 11, 2014
An Improved Classification of Kidney Function Recovery Using Estimated Glomerular Filtration Rate Slope
M Hassanain1, E Simoneau2, S A Doi3
1Department of Surgery, College of Medicine, King Saud University, Riyadh, Saudi Arabia; Section of Hepatobiliary Surgery and Solid Organ Transplant, Department of Surgery, McGill University Health Center, Montréal, Québec, Canada.
Background:
The impact of renal function recovery on graft survival was examined using estimated glomerular filtration rate (eGFR) slope after kidney transplantation (GAP classification); this was compared to the conventional classification of immediate graft function (IGF), slow graft function (SGF), and delayed graft function (DGF).
Materials And Methods:
Overall, 541 cases of cadaveric renal transplants were reviewed from a prospective transplant database. eGFR and its slope were measured using the harmonic mean over the first week post-transplantation. Next, 495 kidney transplant recipients from an independent institution were assessed to determine the prognostic value of graft function based on the eGFR slope.
Results:
The main discrimination of eGFR slopes occurred within the first 7 days. Three groups in the GAP classification (Good graft function, Average graft function, Poor graft function) were defined based on eGFR slope tertiles: good graft function (GGF), average graft function (AGF), and poor graft function (PGF) were defined based on the ΔCrCL per day over the first 7 days: <1 mL/min, 1-4 mL/min, and >4 mL/min, respectively. When applied to the validation cohort, the 5-year graft failure was 20% for the PGF group, 4% for the AGF group, and 3% for the GGF group. Multivariable Cox regression analysis demonstrated better prediction of long-term graft function with the new classification (C statistic 0.49 [old)] vs 0.61 [new]).
Conclusion:
The new GAP criteria were better at predicting long-term graft survival and renal function compared to the conventional classification system, and deserve further consideration in future studies.
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