Hypertrophy Prediction Model for Contralateral Kidney after Living Donation

K. Okumura¹, K. Tanaka², Y. Hidaka², M. Toyoda³, S. Uekihara³, A. Inadome⁴, H. Yokomizo², S. Yamanaga²

¹Department of Surgery, University of Pittsburgh, Pittsburgh, PA, ²Department of Surgery, Japanese Red Cross Kumamoto Hospital, Kumamoto, Japan, ³Department of Nephrology, Japanese Red Cross Kumamoto Hospital, Kumamoto, Japan, ⁴Department of Urology, Japanese Red Cross Kumamoto Hospital, Kumamoto, Japan

Meeting: 2019 American Transplant Congress

Abstract number: B257

Keywords: Kidney transplantation, Outcome, Renal function

Session Information

Session Name: Poster Session B: Kidney Living Donor: Quality and Selection

Session Type: Poster Session

Date: Sunday, June 2, 2019

Session Time: 6:00pm-7:00pm

Presentation Time: 6:00pm-7:00pm

Location: Hall C & D

*Purpose: Compensation of contralateral kidney function is well established and many factors have been proposed as risk factors. There is no prediction model to estimate hypertrophy. The aim of this study was to establish the tool to estimate hypertrophy for contralateral kidney after living donation.

*Methods: We performed retrospective analysis of 133 living donors in renal transplant in our institution. We defined “hypertrophy” as post donation eGFR at one year (CKD-EPI equation) which is more than 60% of pre donation eGFR (pre-eGFR). We analyzed clinical characteristics and outcomes of patients.

*Results: Median (IQR) donor age was 59 (51-65), median(IQR) BMI was 22.9 kg/m² (20.9-25.2), and median(IQR) Body surface area (BSA) was 1.6m² (1.5-1.7). All the donors were Japanese and 73% of donors were biologically related. Median (IQR) donor pre-eGFR was 108.7 ml/min/1.73m² (99.9-115.5). Post donation eGFR at one year was 91.1ml/min/1.73m² (65.1-103.9). 86% of donors had hypertrophy. In univariate analysis, age, history of hypertension, BSA, pre-eGFR were significantly associated with hypertrophy (P<0.05). In multivariate analysis, BSA and pre-eGFR were significantly associated with hypertrophy (P<0.05). Based on this result, we created a hypertrophy prediction score. = 0.763 + 0.507*(pre-eGFR) – 21.66 * (BSA) Median (IQR) hypertrophy prediction score was 21.9 (15.0 – 26.7) and C statistics showed 0.892 (95%CI: 0.792-0.993). If hypertrophy score is less than 10, predictability of hypertrophy was less than 25%. If hypertrophy score was more than 25, predictability of hypertrophy was more than 97%.

*Conclusions: This prediction score might be useful tool to predict hypertrophy of contralateral kidney. If hypertrophy prediction score was low, careful management and follow-up might be necessary. Further investigations are needed to validate in large population.

To cite this abstract in AMA style:

Okumura K, Tanaka K, Hidaka Y, Toyoda M, Uekihara S, Inadome A, Yokomizo H, Yamanaga S. Hypertrophy Prediction Model for Contralateral Kidney after Living Donation [abstract]. Am J Transplant. 2019; 19 (suppl 3). https://atcmeetingabstracts.com/abstract/hypertrophy-prediction-model-for-contralateral-kidney-after-living-donation/. Accessed May 12, 2025.

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