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Prediction of early graft function after living donor kidney transplantation by quantifying the “nephron mass” using CT-volumetric software
Early renal function after living-donor kidney transplantation (LDKT) depends on the “nephron mass” in the renal graft. In this study, as a possible donor-recipient size mismatch parameter that directly reflects the “nephron mass,” the cortex to recipient weight ratio (CRWR) was calculated by CT-vol...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9649930/ https://www.ncbi.nlm.nih.gov/pubmed/36388906 http://dx.doi.org/10.3389/fmed.2022.1007175 |
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author | Takahashi, Kazuhiro Furuya, Kinji Gosho, Masahiko Usui, Joichi Kimura, Tomokazu Hoshi, Akio Hashimoto, Shinji Nishiyama, Hiroyuki Oda, Tatsuya Yuzawa, Kenji Yamagata, Kunihiro |
author_facet | Takahashi, Kazuhiro Furuya, Kinji Gosho, Masahiko Usui, Joichi Kimura, Tomokazu Hoshi, Akio Hashimoto, Shinji Nishiyama, Hiroyuki Oda, Tatsuya Yuzawa, Kenji Yamagata, Kunihiro |
author_sort | Takahashi, Kazuhiro |
collection | PubMed |
description | Early renal function after living-donor kidney transplantation (LDKT) depends on the “nephron mass” in the renal graft. In this study, as a possible donor-recipient size mismatch parameter that directly reflects the “nephron mass,” the cortex to recipient weight ratio (CRWR) was calculated by CT-volumetric software, and its ability to predict early graft function was examined. One hundred patients who underwent LDKT were enrolled. Patients were classified into a developmental cohort (n = 79) and a validation cohort (n = 21). Using the developmental cohort, the correlation coefficients between size mismatch parameters, including CRWR, and the posttransplantation estimated glomerular filtration rate (eGFR) were calculated. Multiple regression analysis was conducted to define a formula to predict eGFR 1-month posttransplantation. Using the validation cohort, the validity of the formula was examined. The correlation coefficient was the highest for CRWR (1-month r = 0.66, p < 0.001). By multiple regression analysis, eGFR at 1-month was predicted using the linear model: 0.23 × donor preoperative eGFR + 17.03 × CRWR + 8.96 × preemptive transplantation + 5.10 (adjusted coefficient of determination = 0.54). In most patients in the validation cohort, the observed eGFR was within a 10 ml/min/1.73 m(2) margin of the predicted eGFR. CRWR was the strongest parameter to predict early graft function. Predicting renal function using this formula could be useful in clinical application to select proper donors and to avoid unnecessary postoperative medical interventions. |
format | Online Article Text |
id | pubmed-9649930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96499302022-11-15 Prediction of early graft function after living donor kidney transplantation by quantifying the “nephron mass” using CT-volumetric software Takahashi, Kazuhiro Furuya, Kinji Gosho, Masahiko Usui, Joichi Kimura, Tomokazu Hoshi, Akio Hashimoto, Shinji Nishiyama, Hiroyuki Oda, Tatsuya Yuzawa, Kenji Yamagata, Kunihiro Front Med (Lausanne) Medicine Early renal function after living-donor kidney transplantation (LDKT) depends on the “nephron mass” in the renal graft. In this study, as a possible donor-recipient size mismatch parameter that directly reflects the “nephron mass,” the cortex to recipient weight ratio (CRWR) was calculated by CT-volumetric software, and its ability to predict early graft function was examined. One hundred patients who underwent LDKT were enrolled. Patients were classified into a developmental cohort (n = 79) and a validation cohort (n = 21). Using the developmental cohort, the correlation coefficients between size mismatch parameters, including CRWR, and the posttransplantation estimated glomerular filtration rate (eGFR) were calculated. Multiple regression analysis was conducted to define a formula to predict eGFR 1-month posttransplantation. Using the validation cohort, the validity of the formula was examined. The correlation coefficient was the highest for CRWR (1-month r = 0.66, p < 0.001). By multiple regression analysis, eGFR at 1-month was predicted using the linear model: 0.23 × donor preoperative eGFR + 17.03 × CRWR + 8.96 × preemptive transplantation + 5.10 (adjusted coefficient of determination = 0.54). In most patients in the validation cohort, the observed eGFR was within a 10 ml/min/1.73 m(2) margin of the predicted eGFR. CRWR was the strongest parameter to predict early graft function. Predicting renal function using this formula could be useful in clinical application to select proper donors and to avoid unnecessary postoperative medical interventions. Frontiers Media S.A. 2022-10-28 /pmc/articles/PMC9649930/ /pubmed/36388906 http://dx.doi.org/10.3389/fmed.2022.1007175 Text en Copyright © 2022 Takahashi, Furuya, Gosho, Usui, Kimura, Hoshi, Hashimoto, Nishiyama, Oda, Yuzawa and Yamagata. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Takahashi, Kazuhiro Furuya, Kinji Gosho, Masahiko Usui, Joichi Kimura, Tomokazu Hoshi, Akio Hashimoto, Shinji Nishiyama, Hiroyuki Oda, Tatsuya Yuzawa, Kenji Yamagata, Kunihiro Prediction of early graft function after living donor kidney transplantation by quantifying the “nephron mass” using CT-volumetric software |
title | Prediction of early graft function after living donor kidney transplantation by quantifying the “nephron mass” using CT-volumetric software |
title_full | Prediction of early graft function after living donor kidney transplantation by quantifying the “nephron mass” using CT-volumetric software |
title_fullStr | Prediction of early graft function after living donor kidney transplantation by quantifying the “nephron mass” using CT-volumetric software |
title_full_unstemmed | Prediction of early graft function after living donor kidney transplantation by quantifying the “nephron mass” using CT-volumetric software |
title_short | Prediction of early graft function after living donor kidney transplantation by quantifying the “nephron mass” using CT-volumetric software |
title_sort | prediction of early graft function after living donor kidney transplantation by quantifying the “nephron mass” using ct-volumetric software |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9649930/ https://www.ncbi.nlm.nih.gov/pubmed/36388906 http://dx.doi.org/10.3389/fmed.2022.1007175 |
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