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

Dry weight bioimpedance analysis dialysis extracellular fluid hypotension

Journal

The International journal of artificial organs
ISSN: 1724-6040
Titre abrégé: Int J Artif Organs
Pays: United States
ID NLM: 7802649

Informations de publication

Date de publication:
23 Mar 2020
Historique:
entrez: 24 3 2020
pubmed: 24 3 2020
medline: 24 3 2020
Statut: aheadofprint

Résumé

Several reports indicate that extracellular volume predicted by bioimpedance analysis method is associated with hydration status of hemodialysis patients. 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. 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. There was a significant correlation between uric acid distribution volume ( 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.

Sections du résumé

BACKGROUND BACKGROUND
Several reports indicate that extracellular volume predicted by bioimpedance analysis method is associated with hydration status of hemodialysis patients.
THEORY BACKGROUND
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 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 RESULTS
There was a significant correlation between uric acid distribution volume (
CONCLUSION CONCLUSIONS
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.

Identifiants

pubmed: 32202446
doi: 10.1177/0391398820909835
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

391398820909835

Auteurs

Toru Shinzato (T)

Daiko Medical Engineering Research Institute, Nagoya, Japan.

Shigeru Nakai (S)

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

Takahito Ito (T)

Kataguilli Medical Center, Shibata, Japan.

Kazuhiko Shibata (K)

Yokohama Minami Clinic, Yokohama, Japan.

Teppei Matsuoka (T)

Oogakikita Clinic, Gifu, Japan.

Shinya Kato (S)

Oogakikita Clinic, Gifu, Japan.

Takeshi Aoki (T)

Nagoya Municipal Industrial Research Institute, Nagoya, Japan.

Ikuto Masakane (I)

Honcho Yabuki Clinic, Yamagata, Japan.

Hiroki Hayashi (H)

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

Naotake Tsuboi (N)

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

Midori Hasegawa (M)

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

Daijo Inaguma (D)

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

Yukio Yuzawa (Y)

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

Susumu Ookawara (S)

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

Classifications MeSH