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Predicting estimated glomerular filtration rate after partial and radical nephrectomy based on split renal function measured by radionuclide: a large-scale retrospective study
PURPOSE: The purpose of this study was to develop predictive models for postoperative estimated glomerular filtration rate (eGFR) based on the split glomerular filtration rate measured by radionuclide (rGFR), as choosing radical nephrectomy (RN) or partial nephrectomy (PN) for complex renal masses r...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693500/ https://www.ncbi.nlm.nih.gov/pubmed/37906264 http://dx.doi.org/10.1007/s00345-023-04686-4 |
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author | Zheng, Wanxiang Hou, Guangdong Ju, Dongen Yan, Fei Liu, Kepu Niu, Zhiping Huang, Luguang Xing, Zibao Kong, Lingchen Liu, Pengfei Zhang, Geng Wei, Di Yuan, Jianlin |
author_facet | Zheng, Wanxiang Hou, Guangdong Ju, Dongen Yan, Fei Liu, Kepu Niu, Zhiping Huang, Luguang Xing, Zibao Kong, Lingchen Liu, Pengfei Zhang, Geng Wei, Di Yuan, Jianlin |
author_sort | Zheng, Wanxiang |
collection | PubMed |
description | PURPOSE: The purpose of this study was to develop predictive models for postoperative estimated glomerular filtration rate (eGFR) based on the split glomerular filtration rate measured by radionuclide (rGFR), as choosing radical nephrectomy (RN) or partial nephrectomy (PN) for complex renal masses requires accurate prediction of postoperative eGFR. METHODS: Patients who underwent RN or PN for a single renal mass at Xijing Hospital between 2008 and 2022 were retrospectively included. Preoperative split rGFR was evaluated using technetium-99 m-diethylenetriaminepentaacetic acid (Tc-99 m DTPA) renal dynamic imaging, and the postoperative short-term (< 7 days) and long-term (3 months to 5 years) eGFRs were assessed. Linear mixed-effect models were used to predict eGFRs, with marginal R(2) reflecting predictive ability. RESULTS: After excluding patients with missing follow-up eGFRs, the data of 2251 (RN: 1286, PN: 965) and 2447 (RN: 1417, PN: 1030) patients were respectively included in the long-term and short-term models. Two models were established to predict long-term eGFRs after RN (marginal R(2) = 0.554) and PN (marginal R(2) = 0.630), respectively. Two other models were established to predict short-term eGFRs after RN (marginal R(2) = 0.692) and PN (marginal R(2) = 0.656), respectively. In terms of long-term eGFRs, laparoscopic and robotic surgery were superior to open surgery in both PN and RN. CONCLUSIONS: We developed novel tools for predicting short-term and long-term eGFRs after RN and PN based on split rGFR that can help in preoperative decision-making. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00345-023-04686-4. |
format | Online Article Text |
id | pubmed-10693500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-106935002023-12-04 Predicting estimated glomerular filtration rate after partial and radical nephrectomy based on split renal function measured by radionuclide: a large-scale retrospective study Zheng, Wanxiang Hou, Guangdong Ju, Dongen Yan, Fei Liu, Kepu Niu, Zhiping Huang, Luguang Xing, Zibao Kong, Lingchen Liu, Pengfei Zhang, Geng Wei, Di Yuan, Jianlin World J Urol Original Article PURPOSE: The purpose of this study was to develop predictive models for postoperative estimated glomerular filtration rate (eGFR) based on the split glomerular filtration rate measured by radionuclide (rGFR), as choosing radical nephrectomy (RN) or partial nephrectomy (PN) for complex renal masses requires accurate prediction of postoperative eGFR. METHODS: Patients who underwent RN or PN for a single renal mass at Xijing Hospital between 2008 and 2022 were retrospectively included. Preoperative split rGFR was evaluated using technetium-99 m-diethylenetriaminepentaacetic acid (Tc-99 m DTPA) renal dynamic imaging, and the postoperative short-term (< 7 days) and long-term (3 months to 5 years) eGFRs were assessed. Linear mixed-effect models were used to predict eGFRs, with marginal R(2) reflecting predictive ability. RESULTS: After excluding patients with missing follow-up eGFRs, the data of 2251 (RN: 1286, PN: 965) and 2447 (RN: 1417, PN: 1030) patients were respectively included in the long-term and short-term models. Two models were established to predict long-term eGFRs after RN (marginal R(2) = 0.554) and PN (marginal R(2) = 0.630), respectively. Two other models were established to predict short-term eGFRs after RN (marginal R(2) = 0.692) and PN (marginal R(2) = 0.656), respectively. In terms of long-term eGFRs, laparoscopic and robotic surgery were superior to open surgery in both PN and RN. CONCLUSIONS: We developed novel tools for predicting short-term and long-term eGFRs after RN and PN based on split rGFR that can help in preoperative decision-making. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00345-023-04686-4. Springer Berlin Heidelberg 2023-10-31 2023 /pmc/articles/PMC10693500/ /pubmed/37906264 http://dx.doi.org/10.1007/s00345-023-04686-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Zheng, Wanxiang Hou, Guangdong Ju, Dongen Yan, Fei Liu, Kepu Niu, Zhiping Huang, Luguang Xing, Zibao Kong, Lingchen Liu, Pengfei Zhang, Geng Wei, Di Yuan, Jianlin Predicting estimated glomerular filtration rate after partial and radical nephrectomy based on split renal function measured by radionuclide: a large-scale retrospective study |
title | Predicting estimated glomerular filtration rate after partial and radical nephrectomy based on split renal function measured by radionuclide: a large-scale retrospective study |
title_full | Predicting estimated glomerular filtration rate after partial and radical nephrectomy based on split renal function measured by radionuclide: a large-scale retrospective study |
title_fullStr | Predicting estimated glomerular filtration rate after partial and radical nephrectomy based on split renal function measured by radionuclide: a large-scale retrospective study |
title_full_unstemmed | Predicting estimated glomerular filtration rate after partial and radical nephrectomy based on split renal function measured by radionuclide: a large-scale retrospective study |
title_short | Predicting estimated glomerular filtration rate after partial and radical nephrectomy based on split renal function measured by radionuclide: a large-scale retrospective study |
title_sort | predicting estimated glomerular filtration rate after partial and radical nephrectomy based on split renal function measured by radionuclide: a large-scale retrospective study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693500/ https://www.ncbi.nlm.nih.gov/pubmed/37906264 http://dx.doi.org/10.1007/s00345-023-04686-4 |
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