Uric acid distribution volume calculated by kinetic modeling and extracellular volume predicted by bioimpedance method

Author:

Shinzato Toru1ORCID,Nakai Shigeru2ORCID,Ito Takahito3,Shibata Kazuhiko4,Matsuoka Teppei5,Kato Shinya5,Aoki Takeshi6,Masakane Ikuto7,Hayashi Hiroki8,Tsuboi Naotake8,Hasegawa Midori8,Inaguma Daijo8,Yuzawa Yukio8,Ookawara Susumu9ORCID

Affiliation:

1. Daiko Medical Engineering Research Institute, Nagoya, Japan

2. Faculty of Clinical Engineering Technology, School of Health Sciences, Fujita Health University, Toyoake, Japan

3. Kataguilli Medical Center, Shibata, Japan

4. Yokohama Minami Clinic, Yokohama, Japan

5. Oogakikita Clinic, Gifu, Japan

6. Nagoya Municipal Industrial Research Institute, Nagoya, Japan

7. Honcho Yabuki Clinic, Yamagata, Japan

8. Department of Nephrology, School of Medicine, Fujita Health University, Toyoake, Japan

9. Saitama Medical Center, Jichi Medical University, Saitama, Japan

Abstract

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 = 0.69 x + 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.

Publisher

SAGE Publications

Subject

Biomedical Engineering,Biomaterials,General Medicine,Medicine (miscellaneous),Bioengineering

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