Transplantation proceedings · 2022
High Perirenal Fat Volume Affect Negatively Renal Function in Living Renal Transplantation.
СтатьяНазвание и аннотация: Перевод в очереди
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Tastemur Sedat, Olcucuoglu Esin, Karaaslan Mustafa
Аннотация
OBJECTIVE: 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.
METHODS: 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 m2; G2, GFR ≥ 60 mL/min/1.73 m2.
RESULTS: 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.
CONCLUSIONS: 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.
METHODS: 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 m2; G2, GFR ≥ 60 mL/min/1.73 m2.
RESULTS: 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.
CONCLUSIONS: 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.