Monitoring Volume Status Using Bioelectrical Impedance Analysis in Chronic Hemodialysis Patients

ASAIO Journal ◽  
2018 ◽  
Vol 64 (2) ◽  
pp. 245-252 ◽  
Author(s):  
Chae Rim Kim ◽  
Jung-ho Shin ◽  
Jin Ho Hwang ◽  
Su Hyun Kim
Keyword(s):  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Hemodialysis Patients ◽  
Chronic Hemodialysis ◽  
Volume Status

scholarly journals Usefulness of foot-to-foot bioimpedance analysis for assessing volume status in chronic hemodialysis patients at the Aristide Le Dantec University Hospital (Senegal)

2021 ◽  
Vol 5 (2) ◽  
pp. 056-060
Author(s):  
Keita Niakhaleen ◽  
Faye Maria ◽  
Seck Sidy Mouhamed ◽  
Ndong Boucar ◽  
Faye Moustapha ◽  
...  
Keyword(s):  
Bioelectrical Impedance ◽  
Dry Weight ◽  
Impedance Analysis ◽  
Cross Sectional Study ◽  
Hemodialysis Patients ◽  
Chronic Hemodialysis ◽  
University Hospital ◽  
Single Frequency ◽  
Cross Sectional ◽  
Before And After

Introduction: Determination of dry weight is one of the daily goals to achieve in hemodialysis. The aim of this study was to validate the use of bioelectrical impedance analysis (BIA) in estimation of dry weight in a population of Senegalese chronic hemodialysis patients. Patients and methods: A 9-week cross-sectional study was carried out at the hemodialysis unit of Aristide Le Dantec University Hospital. Adult patients with no previous hospital history were included. The total body water (TBW) was measured with a single frequency bioelectric impedance foot-to-foot analyzer, before and after six successive hemodialysis sessions. These results were compared with those from clinical measurements with the Watson equation using a Student’s t-test and Bland-Altman analysis. Results: 264 measurements were made in 22 patients (46.6 years, 54.5% men, 92.3 months on dialysis, 62.7 kg mean dry weight). A significant reduction in weight (ΔWeight = 2.0 ± 1.1 kg; p < 0.0001) and in TBW measured by the BIA (ΔTBWBIA = 3.3 ± 1.0 liters; p < 0.0001)) or calculated by Watson’s equation (ΔTBWWatson = 0.5 ± 0.2 liter; p = 0.0001) was observed. There was a strong linear correlation and agreement between the 2 TBW measurements in pre-dialysis. In post-dialysis the concordance diagram indicated a bias = –2.2 and wide agreement limits. Conclusion: The BIA allows reproducible and reliable measurements and a fair estimate of the TBW in pre-dialysis.

scholarly journals Original Paper Relationships Between Indices of Arm Anthropometry, Bioimpedance, and Laboratory in Maintenance Hemodialysis Patients

2020 ◽  
Author(s):  
Jenn-Yeu Wang ◽  
Shu- Chin Chen ◽  
Betau Hwang
Keyword(s):  
Bioelectrical Impedance Analysis ◽  
Clinical Laboratory ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Hemodialysis Patients ◽  
Fat Free Mass ◽  
Single Frequency ◽  
Maintenance Hemodialysis ◽  
Upper Arm ◽  
Muscle Area

Abstract Background Maintenance hemodialysis patients often experience protein- calorie malnutrition. Our aim is to evaluate the independent prediction accuracy of bioelectrical impedance analysis derived variables by the measurements of upper arm anthropometry and clinical laboratory indexes for evaluation of nutritional status of hemodialysis patients. Furthermore, the relationship between measurements of upper arm anthropometry and clinical laboratory indexes and cross –sectional evaluation of the prevalence of malnutrition with the use of the norms and thresholds were done. Methods In a cross- sectional survey of 32 stable hemodialysis patients (aged 28 to 82 years) in hemodialysis unit of Taipei Municipal Zhongxiao Hospital, we evaluated measurements of upper arm anthropometry with measurements of single frequency bioelectrical impedance analysis and clinical laboratory indexes. Results The comparisons between measurements of upper arm anthropometry with measurements of single frequency bioelectrical impedance analysis and some of clinical laboratory indexes were statistically significant. This study further found that both mid-arm fat area and triceps skin-fold thickness were independent contributors to percent fat mass after adjustment for body mass index and gender in the multiple regression models. This study also demonstrated that mid-arm muscle circumference, or mid-arm muscle area, or corrected mid-arm muscle area independently predicted height normalized indices of fat-free mass respectively after adjustment for body mass index and gender in the multiple regression models. The prevalence of protein wasting measured by mid-arm muscle circumference (50%) appears to be equivalent to that measured by serum albumin concentration (50%). Conclusions Mid-arm muscle and fat variables by upper arm anthropometry correlated with nutritional variables of single frequency bioelectrical impedance analysis and clinical laboratory indexes. Mid-arm muscle and fat variables by upper arm anthropometry were independent predictors of body composition regarding height-normalized indices of fat-free mass and percent fat mass of hemodialysis patients even after adjustment of gender and BMI.

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