Department of Urology, Ankara City Hospital, Ankara, Turkey.
Department of Radiology, Ankara City Hospital, Ankara, Turkey.
Transplant Proc. 2022 Sep;54(7):1768-1772. doi: 10.1016/j.transproceed.2022.05.036. Epub 2022 Aug 16.
We aimed to investigate the effect of perirenal fat volume (PFV) on graft functions by calculating the PFV of donor kidney with routine computed tomography before renal transplantation.
From May 2019 to December 2020, a total of 54 living donors and recipients who met the criteria for kidney donor were included in the study. Left donor nephrectomy was performed to all donors. Data of age, sex, body mass index (BMI), PFV of the donors, estimated glomerular filtration rate (eGFR), and serum creatinine measurement data of the recipients were recorded. Serum creatinine and eGFR of the recipients were recorded at the 12th month controls. The patients were sorted into 2 groups (G) according to their GFR values. G1, GFR <60 mL/min/1.73 m; G2, GFR ≥ 60 mL/min/1.73 m.
There was no difference in terms of recipient sex, recipient age, donor sex, recipient BMI, and donor BMI between the 2 groups. The mean of PFV was higher in G1 and was statistically significant (P= 0.01). The ability of the donor BMI and PFV to predict G2 was evaluated by receiver operating characteristic curve analysis. It was determined that PFV predicted G2 to be statistically significant. In the multivariate logistic regression analysis, PFV (odds ratio = 0.988, 95% GA = 0.977-0.999, P = 0.03) was found as an independent predictor of G2.
In conclusion, our study showed PFV as an independent risk factor for low eGFR, revealing that the previously documented relevance of increased BMI with a low eGFR can be partially explained by PFV.
通过在肾移植前对供体肾脏进行常规计算机断层扫描来计算肾周脂肪体积(PFV),我们旨在研究 PFV 对移植物功能的影响。
本研究纳入了 2019 年 5 月至 2020 年 12 月期间符合肾供体标准的 54 名活体供体和受者。所有供体均行左供肾切除术。记录供体年龄、性别、体重指数(BMI)、供体 PFV、估算肾小球滤过率(eGFR)和受者血清肌酐测量数据。受者在 12 个月时进行控制,记录血清肌酐和 eGFR。根据 GFR 值将患者分为 2 组(G)。G1,GFR<60 mL/min/1.73 m;G2,GFR≥60 mL/min/1.73 m。
2 组受者性别、受者年龄、供者性别、受者 BMI 和供者 BMI 无差异。G1 组的 PFV 平均值较高,且具有统计学意义(P=0.01)。通过受试者工作特征曲线分析评估了供体 BMI 和 PFV 预测 G2 的能力。结果表明,PFV 预测 G2 具有统计学意义。在多变量逻辑回归分析中,PFV(比值比=0.988,95% GA=0.977-0.999,P=0.03)被确定为 G2 的独立预测因子。
总之,我们的研究表明 PFV 是低 eGFR 的独立危险因素,表明先前报道的与低 eGFR 相关的 BMI 增加可部分由 PFV 来解释。