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实体肿瘤患者的总肾体积作为实测肾小球滤过率的预测指标:一项前瞻性横断面分析。

Total kidney volume as a predictor of measured glomerular filtration rate in patients with solid tumors: a prospective cross-sectional analysis.

作者信息

Bezerra Regis Otaviano Franca, Strufaldi Fernando Louzada, Dantas Patricia Perola, Andrade Filipe, Caires Renato A, Costalonga Elerson Carlos, Filho George Barbério Coura, Gil Luiz A, Sapienza Marcelo Tatit, Cerri Giovanni Guido, Burdmann Emmanuel A, Costa E Silva Veronica Torres

机构信息

Serviço de Radiologia do Instituto do Câncer do Estado de São Paulo, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Av. Dr. Arnaldo, 25, São Paulo, São Paulo, 01246-000, Brazil.

Serviço de Nefrologia, Instituto do Câncer do Estado de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.

出版信息

J Nephrol. 2025 May 2. doi: 10.1007/s40620-025-02231-7.

Abstract

BACKGROUND

Although previous data demonstrate that total kidney volume (TKV) correlates with measured glomerular filtration rate (mGFR), evidence is however scarce in the oncology setting. The aim of this is study is to evaluate whether adding TKV to the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) estimating equations improves the prediction of measured glomerular filtration rate (mGFR) in patients with cancer.

METHODS

We evaluated patients with solid tumors between April 2015 and September 2017 who had undergone contrast computed tomography and GFR measurement through the plasma clearance of Cr-EDTA. Estimated GFR (eGFR) was determined through CKD-EPI equations based on serum creatinine (eGFRcr) and combined with serum cystatin C (eGFRcr-cys). We used the 2009 eGFRcr and 2012 eGFRcr-cys equations and the race-free 2021 eGFRcr, and eGFRcr-cys. TKV was measured using a semi-automatic segmentation program, excluding non-functional tissues. Linear regression models were built, with TKV and eGFR equations as predictors and mGFR as the outcome.

RESULTS

We included 189 patients (median age 58.0 [48.0-65.0] years, 49.2% male). Median mGFR and TKV were 82.7 (66.3-94.5) mL/min and 303.1 (257.7-351.8) cm, respectively. TKV improved the coefficient of determination (R) when added to 2009 eGFRcr and 2012 eGFRcr-cys equations from 0.62 to 0.73 and 0.73 to 0.80, respectively. For the 2021 eGFRcr and eGFRcr-cys equations, R improved from 0.65 to 0.75 and 0.75 to 0.82, respectively.

CONCLUSION

These results suggest that TKV measurement improves the prediction of mGFR in association with the CKD-EPI equations in patients with solid tumors.

摘要

背景

尽管先前的数据表明总肾体积(TKV)与实测肾小球滤过率(mGFR)相关,但在肿瘤学领域,相关证据却很匮乏。本研究的目的是评估在慢性肾脏病流行病学协作组(CKD-EPI)估算方程中加入TKV是否能改善对癌症患者实测肾小球滤过率(mGFR)的预测。

方法

我们评估了2015年4月至2017年9月期间接受过对比计算机断层扫描并通过Cr-EDTA血浆清除率测量GFR的实体瘤患者。通过基于血清肌酐的CKD-EPI方程(eGFRcr)并结合血清胱抑素C(eGFRcr-cys)来确定估算肾小球滤过率(eGFR)。我们使用了2009年的eGFRcr和2012年的eGFRcr-cys方程以及无种族差异的2021年eGFRcr和eGFRcr-cys方程。使用半自动分割程序测量TKV,排除无功能组织。构建线性回归模型,以TKV和eGFR方程作为预测因子,mGFR作为结果。

结果

我们纳入了189例患者(中位年龄58.0[48.0 - 65.0]岁,49.2%为男性)。中位mGFR和TKV分别为82.7(66.3 - 94.5)mL/min和303.1(257.7 - 351.8)cm³。当将TKV添加到2009年eGFRcr和2012年eGFRcr-cys方程中时,决定系数(R)分别从0.62提高到0.73以及从0.73提高到0.80。对于2021年eGFRcr和eGFRcr-cys方程,R分别从0.65提高到0.75以及从0.75提高到0.82。

结论

这些结果表明,在实体瘤患者中,测量TKV结合CKD-EPI方程可改善对mGFR的预测。

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