TY - JOUR
T1 - Uric acid distribution volume calculated by kinetic modeling and extracellular volume predicted by bioimpedance method
AU - Shinzato, Toru
AU - Nakai, Shigeru
AU - Ito, Takahito
AU - Shibata, Kazuhiko
AU - Matsuoka, Teppei
AU - Kato, Shinya
AU - Aoki, Takeshi
AU - Masakane, Ikuto
AU - Hayashi, Hiroki
AU - Tsuboi, Naotake
AU - Hasegawa, Midori
AU - Inaguma, Daijo
AU - Yuzawa, Yukio
AU - Ookawara, Susumu
N1 - Publisher Copyright:
© The Author(s) 2020.
PY - 2020/11/1
Y1 - 2020/11/1
N2 - Background: Several reports indicate that extracellular volume predicted by bioimpedance analysis method is associated with hydration status of hemodialysis patients. Theory: Fundamentally, uric acid does not cross cell membranes by simple diffusion, either by facilitated diffusion or by active transport. In addition, uric acid cannot move through cell membranes in most tissues other than those involved in uric acid excretion. These facts support the interpretation that uric acid distribution volume would therefore correlate with extracellular volume. Methods: We examined correlation between uric acid distribution volume calculated by uric acid mass-balance modeling from regular blood test results and extracellular volume predicted by bioimpedance analysis predicted by BCM (Fresenius Medical Care) in 53 patients. Results: There was a significant correlation between uric acid distribution volume (x) and extracellular volume predicted by bioimpedance analysis (y): y = 0.69x + 3.39, r2 = 0.61, p < 0.0001. Bland–Altman analysis showed systematic error for uric acid distribution volume versus extracellular volume predicted by bioimpedance analysis (mean difference between uric acid distribution volume and extracellular volume predicted by bioimpedance analysis was 0.94 L, 95% confidence interval of difference was −3.29 to 5.17 L). Conclusion: Uric acid distribution volume calculated by uric acid mass-balance modeling from regular blood test results may be an alternative marker of extracellular volume predicted by bioimpedance analysis.
AB - Background: Several reports indicate that extracellular volume predicted by bioimpedance analysis method is associated with hydration status of hemodialysis patients. Theory: Fundamentally, uric acid does not cross cell membranes by simple diffusion, either by facilitated diffusion or by active transport. In addition, uric acid cannot move through cell membranes in most tissues other than those involved in uric acid excretion. These facts support the interpretation that uric acid distribution volume would therefore correlate with extracellular volume. Methods: We examined correlation between uric acid distribution volume calculated by uric acid mass-balance modeling from regular blood test results and extracellular volume predicted by bioimpedance analysis predicted by BCM (Fresenius Medical Care) in 53 patients. Results: There was a significant correlation between uric acid distribution volume (x) and extracellular volume predicted by bioimpedance analysis (y): y = 0.69x + 3.39, r2 = 0.61, p < 0.0001. Bland–Altman analysis showed systematic error for uric acid distribution volume versus extracellular volume predicted by bioimpedance analysis (mean difference between uric acid distribution volume and extracellular volume predicted by bioimpedance analysis was 0.94 L, 95% confidence interval of difference was −3.29 to 5.17 L). Conclusion: Uric acid distribution volume calculated by uric acid mass-balance modeling from regular blood test results may be an alternative marker of extracellular volume predicted by bioimpedance analysis.
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U2 - 10.1177/0391398820909835
DO - 10.1177/0391398820909835
M3 - Article
C2 - 32202446
AN - SCOPUS:85082314890
SN - 0391-3988
VL - 43
SP - 701
EP - 709
JO - International Journal of Artificial Organs
JF - International Journal of Artificial Organs
IS - 11
ER -