ツチヤ　ケン   Tsuchiya Ken   土谷　健    所属   医学部 医学科（東京女子医科大学病院）    職種   特任教授
論文種別	原著
言語種別	英語
査読の有無	査読あり
表題	The uric acid-urea distribution volume ratio is a potential marker of hydration status in patients on hemodialysis.
掲載誌名	正式名：Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs 略　 称：J Artif Organs ISSNコード：16190904/14347229
掲載区分	国外
巻・号・頁	pp.10.1007/s10047-022-01377-6.-10.1007/s10047-022-01377-6.
著者・共著者	Kawaguchi Yuki, Hanafusa Norio, Sakurai Satoko, Miyaji Mai, Toda Naohiro, Iwadoh Kazuhiro, Tsuchiya Ken
担当区分	最終著者
発行年月	2022/12
概要	The distribution volume of uric acid is affected by the amount of extracellular water (ECW), while urea distribution volume can be considered as total body water (TBW). Thus, the ratio of distribution volumes of uric acid and urea can be paralleled to and be considered as the proxy of ECW/TBW. A total of 108 patients at our facility was included. The uric acid and urea distribution volume ratio (UUVdR) calculated from the single-pool model, which was measured within 1 month of the time when the bioimpedance index was measured. ECW/TBW at the end of the HD session was measured by InBody S10. We investigated the association between the UUVdR and the ECW/TBW values and the factors affecting the residuals of the regression equation. We also evaluated the predictive ability of overhydration or dehydration in randomly selected two groups, i.e., the training group and the validation group. ECW/TBW correlated highly with UUVdR. Multivariate analysis demonstrated that only creatinine and ECW/TBW were significantly associated with regression residuals. The cutoff values of UUVdR for overhydration and dehydration were 0.666 and 0.579, respectively, in the training group. Their AUC were 0.872 and 0.898, respectively. The sensitivity and specificity values in the validation group were 0.571 and 0.868 for overhydration, and 0.444 and 0.953 for dehydration, respectively. UUVdR might be a proxy of hydration status in hemodialysis patients. It may be possible to predict hydration status without dedicated devices in the epidemiological study.
DOI	10.1007/s10047-022-01377-6
PMID	36565326