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Investigation of methods for more accurate estimation of kidney function in people with high muscle mass

Authors :
Junji Saruwatari
Tetsumi Irie
Yuki Narita
Hiroyuki Ikeda
Sumio Hirata
Hidetaka Shimada
Sara Utsumi
Yuki Kondo
Misato Ichigi
Yoichi Ishitsuka
Yuichi Maehara
Miki Ogata
Marina Murakami
Daisuke Kadowaki
Sakura Nakatani
Yoshihiko Harada
Masaki Fukunaga
Source :
Clinical Nephrology. 94:86-96
Publication Year :
2020
Publisher :
Dustri-Verlgag Dr. Karl Feistle, 2020.

Abstract

Serum creatinine (SCr) levels depend on muscle mass and are therefore elevated in people with high muscle mass, potentially leading to underestimation of kidney function in this population. Although recent therapeutic guidelines have shown measurement of serum cystatin C (ScysC) to be useful, this method has not been validated in people with high muscle mass. We conducted this study to investigate methods for more accurately estimating kidney function in people with high muscle mass. Linear regression analysis was used to assess the correlation of endogenous creatinine clearance (24-hour CLcr) and 24-hour CLcr × 0.715 (i.e., modified glomerular filtration rate (GFR)); with estimated kidney function from SCr and ScysC in 15 healthy young adult men with high muscle mass. A significant but weak positive correlation was observed between 24-hour CLcr and estimated CLcr by the Cockcroft and Gault formula (CG CLcr; R2 = 0.371, p = 0.016). The estimated GFR calculated from ScysC (eGFRcys) was significantly higher than CLcr × 0.715, but the two were not correlated (R2 = 0.125, p = 0.197). However, when CG CLcr and eGFRcr were adjusted by muscle mass parameters, the correlation between measured and estimated values improved. Further improvement was seen when participants with a fat mass greater than 25% were excluded (R2 = 0.623, p = 0.004; R2 = 0.510, p = 0.014; n = 11 for both). The results of our study suggest that currently used formulas for estimating kidney function, including eGFRcys, may not be appropriate for people with high muscle mass, but use of muscle mass parameters may improve predictivity. .

Details

ISSN :
03010430
Volume :
94
Database :
OpenAIRE
Journal :
Clinical Nephrology
Accession number :
edsair.doi.dedup.....7b43f0cd45dca4a14927f5a054f1857e