Literature DB >> 22406124

Assessment of body composition using dry mass index and ratio of total body water to estimated volume based on bioelectrical impedance analysis in chronic kidney disease patients.

Yasushi Ohashi1, Takatoshi Otani, Reibin Tai, Yoshihide Tanaka, Ken Sakai, Atsushi Aikawa.   

Abstract

OBJECTIVE: Body mass index (BMI) is commonly used for assessment of nutritional status. However, changes in BMI in chronic kidney disease (CKD) patients are affected not only by muscle and fat but also by fluid volume. The ratio of extracellular water (ECW(BIA)) to total body water (TBW(BIA)) in multifrequency bioelectrical impedance analysis is commonly used for assessing abnormal fluid status. This study reexamines ECW(BIA)/TBW(BIA) and evaluates the reliability of TBW(BIA)/TBW(watson) and dry mass index (DMI) in the assessment of fluid and nutritional status. DESIGN, SETTING, AND
SUBJECTS: TBW(BIA), intracellular water (ICW(BIA)), and ECW(BIA) were measured in 45 randomly selected CKD patients. Participants were surveyed for age, gender, BMI, blood pressure, serum albumin, estimated glomerular filtration rate, and proteinuria. DMI was calculated by the formula ([weight--TBW(BIA)]/height(2)) and TBW(BIA)/TBW(watson) using an anthropometric formula (Watson). Fluid and nutritional status were assessed using ECW(BIA)/TBW(BIA), TBW(BIA)/TBW(watson), and DMI.
RESULTS: TBW(BIA)/TBW(watson) positively correlated with weight, BMI, and diastolic blood pressure and negatively correlated with age and serum albumin level. In contrast, ECW(BIA)/TBW(BIA) correlated with ICW deficit, aging, and body weight loss. On the basis of DMI and TBW(BIA)/TBW(watson), participants were categorized as follows: 1 obese patient with hypovolemia and 2 with euvolemia; 17 overweight patients with hypovolemia (n = 6), euvolemia (n = 8), or hypervolemia (n = 3); 24 patients of optimal weight with hypovolemia (n = 10), euvolemia (n = 9), or hypervolemia (n = 5); and 1 underweight patient with euvolemia.
CONCLUSIONS: A combination of DMI, BMI, and TBW(BIA)/TBW(watson) makes it possible to include assessment of fluid volume to the physique index. In addition, ECW(BIA)/TBW(BIA) is not a reliable marker of edematous state in CKD patients.
Copyright © 2013 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22406124     DOI: 10.1053/j.jrn.2011.12.006

Source DB:  PubMed          Journal:  J Ren Nutr        ISSN: 1051-2276            Impact factor:   3.655


  6 in total

1.  Brain Natriuretic Peptide and Body Fluid Composition in Patients with Chronic Kidney Disease: A Cross-Sectional Study to Evaluate the Relationship between Volume Overload and Malnutrition.

Authors:  Yasushi Ohashi; Akinobu Saito; Keisuke Yamazaki; Reibin Tai; Tatsuru Matsukiyo; Atsushi Aikawa; Ken Sakai
Journal:  Cardiorenal Med       Date:  2016-06-23       Impact factor: 2.041

2.  The Associations of Malnutrition and Aging with Fluid Volume Imbalance between Intra- and Extracellular Water in Patients with Chronic Kidney Disease.

Authors:  Y Ohashi; R Tai; T Aoki; S Mizuiri; T Ogura; Y Tanaka; T Okada; A Aikawa; K Sakai
Journal:  J Nutr Health Aging       Date:  2015-12       Impact factor: 4.075

3.  Association between ratio of measured extracellular volume to expected body fluid volume and renal outcomes in patients with chronic kidney disease: a retrospective single-center cohort study.

Authors:  Reibin Tai; Yasushi Ohashi; Sonoo Mizuiri; Atsushi Aikawa; Ken Sakai
Journal:  BMC Nephrol       Date:  2014-12-01       Impact factor: 2.388

4.  Effects of Water Restriction and Water Replenishment on the Content of Body Water with Bioelectrical Impedance among Young Adults in Baoding, China: A Randomized Controlled Trial (RCT).

Authors:  Jianfen Zhang; Na Zhang; Songming Du; Shufang Liu; Guansheng Ma
Journal:  Nutrients       Date:  2021-02-08       Impact factor: 5.717

5.  Body composition and hemodynamic changes in patients with special needs.

Authors:  Masanori Tsukamoto; Takashi Hitosugi; Kanako Esaki; Takeshi Yokoyama
Journal:  J Dent Anesth Pain Med       Date:  2016-09-30

6.  Physiologically-Based Pharmacokinetic Modelling of Creatinine-Drug Interactions in the Chronic Kidney Disease Population.

Authors:  Hiroyuki Takita; Daniel Scotcher; Rajkumar Chinnadurai; Philip A Kalra; Aleksandra Galetin
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2020-11-23
  6 in total

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