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Published in: BMC Nephrology 1/2019

Open Access 01-12-2019 | Computed Tomography | Research article

Prediction model of compensation for contralateral kidney after living-donor donation

Authors: Kenji Okumura, Shigeyoshi Yamanaga, Kosuke Tanaka, Kohei Kinoshita, Akari Kaba, Mika Fujii, Masatomo Ogata, Yuji Hidaka, Mariko Toyoda, Soichi Uekihara, Akira Miyata, Akito Inadome, Hiroshi Yokomizo

Published in: BMC Nephrology | Issue 1/2019

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Abstract

Background

Compensation of contralateral kidney function after living-donor kidney donation is well known, and many predictive factors have been proposed. However, no prediction model has been proposed. This study was performed to establish a tool with which to estimate the degree of compensation of the contralateral kidney after living-donor kidney donation.

Methods

We retrospectively analyzed 133 living donors for renal transplantation in our institution. We defined a favorable compensation as a post-donation estimated glomerular filtration rate (eGFR) at 1 year (calculated by the Chronic Kidney Disease Epidemiology Collaboration equation) of > 60% of the pre-donation eGFR. We analyzed the living donors’ clinical characteristics and outcomes.

Results

The median (range) donor age was 59 (24–79) years, median (range) body mass index was 22.9 (16.8–32.7) kg/m2, and median (range) body surface area was 1.6 (1.3–2.0) m2. All donors were Japanese, and 73% of the donors were biologically related. The median (range) donor pre-donation eGFR was 108.7 (82–144) ml/min/1.73 m2, and the median (range) post-donation eGFR at 1 year was 86.9 (43–143) ml/min/1.73 m2. Eighty-six percent of donors had compensatory hypertrophy. In the univariate analysis, age, female sex, history of hypertension, body surface area, and pre-donation eGFR were significantly associated with hypertrophy (p < 0.05). In the multivariate analysis, age, female sex, history of hypertension, and ratio of the remnant kidney volume to body weight were significantly associated with hypertrophy (p < 0.05). Based on these results, we created a compensation prediction score (CPS). The median (range) CPS was 8.7 (1.1–17.4). Receiver operating characteristic analysis showed strong diagnostic accuracy for predicting favorable compensation (area under the curve, 0.958; 95% confidence interval, 0.925–0.991, p < 0.001). The optimal cut-off value of the CPS was 5.0 (sensitivity, 92.0%; specificity, 89.5%). The CPS had a strong positive correlation with the post-donation eGFR (R = 0.797, p < 0.001).

Conclusion

The CPS might be useful tool with which to predict a favorable compensation of the contralateral kidney and remnant kidney function. If the CPS is low, careful management and follow-up might be necessary. Further investigations are needed to validate these findings in larger populations.
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Metadata
Title
Prediction model of compensation for contralateral kidney after living-donor donation
Authors
Kenji Okumura
Shigeyoshi Yamanaga
Kosuke Tanaka
Kohei Kinoshita
Akari Kaba
Mika Fujii
Masatomo Ogata
Yuji Hidaka
Mariko Toyoda
Soichi Uekihara
Akira Miyata
Akito Inadome
Hiroshi Yokomizo
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Nephrology / Issue 1/2019
Electronic ISSN: 1471-2369
DOI
https://doi.org/10.1186/s12882-019-1464-1

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