Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
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
_version_ 1785153174883008512
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
work_keys_str_mv AT zhengwanxiang predictingestimatedglomerularfiltrationrateafterpartialandradicalnephrectomybasedonsplitrenalfunctionmeasuredbyradionuclidealargescaleretrospectivestudy
AT houguangdong predictingestimatedglomerularfiltrationrateafterpartialandradicalnephrectomybasedonsplitrenalfunctionmeasuredbyradionuclidealargescaleretrospectivestudy
AT judongen predictingestimatedglomerularfiltrationrateafterpartialandradicalnephrectomybasedonsplitrenalfunctionmeasuredbyradionuclidealargescaleretrospectivestudy
AT yanfei predictingestimatedglomerularfiltrationrateafterpartialandradicalnephrectomybasedonsplitrenalfunctionmeasuredbyradionuclidealargescaleretrospectivestudy
AT liukepu predictingestimatedglomerularfiltrationrateafterpartialandradicalnephrectomybasedonsplitrenalfunctionmeasuredbyradionuclidealargescaleretrospectivestudy
AT niuzhiping predictingestimatedglomerularfiltrationrateafterpartialandradicalnephrectomybasedonsplitrenalfunctionmeasuredbyradionuclidealargescaleretrospectivestudy
AT huangluguang predictingestimatedglomerularfiltrationrateafterpartialandradicalnephrectomybasedonsplitrenalfunctionmeasuredbyradionuclidealargescaleretrospectivestudy
AT xingzibao predictingestimatedglomerularfiltrationrateafterpartialandradicalnephrectomybasedonsplitrenalfunctionmeasuredbyradionuclidealargescaleretrospectivestudy
AT konglingchen predictingestimatedglomerularfiltrationrateafterpartialandradicalnephrectomybasedonsplitrenalfunctionmeasuredbyradionuclidealargescaleretrospectivestudy
AT liupengfei predictingestimatedglomerularfiltrationrateafterpartialandradicalnephrectomybasedonsplitrenalfunctionmeasuredbyradionuclidealargescaleretrospectivestudy
AT zhanggeng predictingestimatedglomerularfiltrationrateafterpartialandradicalnephrectomybasedonsplitrenalfunctionmeasuredbyradionuclidealargescaleretrospectivestudy
AT weidi predictingestimatedglomerularfiltrationrateafterpartialandradicalnephrectomybasedonsplitrenalfunctionmeasuredbyradionuclidealargescaleretrospectivestudy
AT yuanjianlin predictingestimatedglomerularfiltrationrateafterpartialandradicalnephrectomybasedonsplitrenalfunctionmeasuredbyradionuclidealargescaleretrospectivestudy