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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...

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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
Descripción
Sumario: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.