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06.12.2018 | Original Article | Ausgabe 9/2019

World Journal of Urology 9/2019

Donor kidney volume measured by computed tomography is a strong predictor of recipient eGFR in living donor kidney transplantation

Zeitschrift:
World Journal of Urology > Ausgabe 9/2019
Autoren:
David P. Al-Adra, Maria Lambadaris, Andrew Barbas, Yanhong Li, Markus Selzner, Sunita K. Singh, Olusegun Famure, S. Joseph Kim, Anand Ghanekar
Wichtige Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1007/​s00345-018-2595-x) contains supplementary material, which is available to authorized users.
David P. Al-Adra and Maria Lambadaris contributed equally to this work.
S. Joseph Kim and Anand Ghanekar jointly directed this work.

Abstract

Purpose

The effect of living donor kidney allograft size on recipient outcomes is not well understood. In this study, we sought to investigate the relationship between preoperatively measured donor kidney volume and recipient estimated glomerular filtration rate (eGFR) in living donor kidney transplantation (LDKT).

Methods

We studied computed tomography (CT) donor kidney volumes and recipient outcomes for 438 LDKTs at the Toronto General Hospital between 2007 and 2016. Estimated glomerular filtration rate (eGFR) was calculated at 1, 3, and 6 months and a multivariable linear regression model was fitted to study the effect of donor kidney volume on recipient eGFR.

Results

The mean volume and weight of the donated kidneys were 157.3 (± 32.3) cc and 186.7 (± 48.7) g, respectively. Kidney volume was significantly associated with eGFR on multivariable analysis (P < 0.001). Specifically, for every 10 cc increase in kidney volume, there was a 1.68 mL/min, 1.25 mL/min and 0.97 mL/min rise in recipient eGFR at 1, 3, and 6 months, respectively.

Conclusions

Donor kidney volume is a strong independent predictor of recipient eGFR in LDKT, and therefore, may be a valuable addition to predictive models of eGFR after transplant. Further research may determine if the inclusion of donor kidney volume in matching algorithms can improve recipient outcomes.

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