Multi‐phasic eGFR trajectory during follow up and long‐term graft failure after kidney transplantation

Author:

Rahamimov Ruth123ORCID,Agur Timna13ORCID,Zingerman Boris13,Bielopolski Dana13ORCID,Steinmetz Tali13,Nesher Eviatar23,Hanniel Iddo4,Rozen‐Zvi Benaya13

Affiliation:

1. Department of Nephrology and Hypertension Rabin Medical Center Beilinson Campus Petah‐Tikva Israel

2. Department of Transplantation Rabin Medical Center Beilinson Campus Petah‐Tikva Israel

3. Sackler Faculty of Medicine Tel‐Aviv University Tel‐Aviv Israel

4. MobilEye Vision Technologies INC Petah‐Tikva Israel

Abstract

AbstractBackgroundThe prevailing assumption is that following kidney transplantation the pattern of kidney function decline is consistent. Nevertheless, numerous factors leading to graft loss may emerge, altering the trajectory of kidney function. In this study, we aim to assess alterations in estimated glomerular filtration rate (eGFR) trajectory over an extended period of follow‐up and examine its correlation with graft survival.MethodsWe calculated eGFR using all creatinine values available from 1‐year post transplantation to the end of follow‐up. For pattern analysis, we used a piecewise linear model.ResultsNine hundred eighty‐eight patients were included in the study. After a median follow‐up of 5.2 years, 297 (30.1%) patients had a multi‐phasic eGFR trajectory. Change in eGFR trajectory was associated with increased risk for graft failure (HR 7.15, 95% CI 5.17–9.89, p < .001), longer follow‐up time, younger age, longer cold ischemia time, high prevalence of acute rejection, longer hospitalization and a lower initial eGFR. Of the 988 patients included in the study, 494 (50.0%) had a mono‐phasic stable trajectory, 197 (19.9%) had a mono‐phasic decreasing trajectory, 184 (18.6%) had bi‐phasic decreasing trajectory (initial stability and then decline, 46(4.7%) had a bi‐phasic stabilized (initial decline and then stabilization) and 67(6.8%) had a more complex trajectory (tri‐phasic). Out of the total 144 patients who experienced graft loss, the predominant pattern was a bi‐phasic decline characterized by a bi‐linear trajectory (66 events, 45.8%).ConclusionsChanges in eGFR trajectory during long‐term follow‐up can serve as a valuable tool for assessing the underlying mechanisms contributing to graft loss.

Publisher

Wiley

Subject

Transplantation

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