Kidney Week

Abstract: SA-PO869

Correlation of Intracellular Volume Calculated by Uric Acid Kinetic Modeling with Intracellular Volume Estimated by Bioimpedance Analysis

Session Information

• Dialysis: Cardiovascular, BP, Volume
  October 27, 2018 | Location: Exhibit Hall, San Diego Convention Center
  Abstract Time: 10:00 AM - 12:00 PM

Category: Dialysis

• 701 Dialysis: Hemodialysis and Frequent Dialysis

Authors

• Nakai, Shigeru, Fujita Health University School of Health Scieneces, Toyoake, Aichi, Japan

Shigeru Nakai,

• Ito, Takahito, Kataguilli Medical Center, Shibata, Japan

Takahito Ito,

• Shibata, Kazuhiko, Yokohama Minami Clinic, Yokohama, Japan

Kazuhiko Shibata,

• Aoki, Takeshi, Nagoya Municipal Industrial Research Institute, Iwakura-shi, Aichi-ken, Japan

Takeshi Aoki,

• Hasegawa, Midori, Fujita Health University School of Medicine, Aichi, Japan

Midori Hasegawa,

• Inaguma, Daijo, Fujita Health University School of Medicine, Aichi, Japan

Daijo Inaguma,

• Yuzawa, Yukio, Fujita Health University School of Medicine, Aichi, Japan

Yukio Yuzawa,

• Shinzato, Takahiro, Daiko Medical Engineering Research Institute, Nagoya-shi,, Japan

Takahiro Shinzato,

Background

Previous studies indicate that uric acid is not transported through the cell membranes of erythrocytes during hemodialysis (HD). If uric acid is not transported through the cell membranes of not only erythrocytes, but also general body cells, the uric acid distribution volume is theoretically consistent with extracellular volume, and the difference between urea distribution volume and uric acid distribution volume is consistent with intracellular volume (ICV). We tentatively designated the difference between urea distribution volume and uric acid distribution volumeas kinetic modeling ICV (KM-ICV).

Methods

We calculated whole-body KM-ICV based on regular blood test results obtained at 49 occasions in 7 patients. Subsequently, we compared whole-body KM-ICVandbioimpedance analysis (BIA)-ICV, which were measured after HD on the day the regular blood tests were performed and examined their correlation. Moreover, we examined the correlation between KM-ICVnormalized to body surface area (normalized KM-ICV) andserum albumin level, and between normalizedKM-ICVandserum creatinine level.

Results

A significant difference was found between whole-bodyKM-ICV andBIA-ICV(17.30 ±4.30 ml/m²and 15.88 ±2.43 ml/m²[mean ±s.d.], respectively; p = 0.002). Moreover, a significant correlation was observed between whole-bodyKM-ICV(x) and BIA-ICV (y) (y = 0.402x + 8.931, r = 0.711, p = 0.0001). A significant correlation was found between normalizedKM-ICV(x) and serum albumin level(y) (y = 0.0324x + 3.072, r = 0.463, p = 0.0008). However,no correlation was found betweennormalizedKM-ICV and serum creatinine level.

Conclusion

NormalizedKM-ICV can be used as an alternative nutritional index.